Skip to main content
Frontiers in Microbiology logoLink to Frontiers in Microbiology
. 2026 Feb 23;17:1751932. doi: 10.3389/fmicb.2026.1751932

Microbial engineering for pesticide degradation: current insights and future directions for sustainable agriculture

Sudhakar Srivastava 1, Rakeeb Ahmad Mir 2,, Sofi Javed Hussain 3,, Suchitra Mitra 4, Shruti Srivastava 1, Pankaj Kumar 5,*, Harmanjit Kaur 6,*
PMCID: PMC12969878  PMID: 41809604

Abstract

Pesticides are synthetic agrochemicals widely used to protect crops from pests and diseases; however, their limited biodegradability and indiscriminate application pose serious risks to non-target organisms, soil fertility, human health, and overall environmental sustainability. Conventional physical and chemical remediation strategies often fall short in restoring contaminated ecosystems, highlighting the urgent need for effective and sustainable pesticide mitigation approaches. In recent years, in situ bioremediation has emerged as a promising, eco-friendly, and cost-effective strategy for pesticide degradation in agricultural soils. Under favourable conditions, microorganisms utilise pesticides as sources of carbon, sulphur, and electrons, facilitating their breakdown through diverse metabolic pathways, with enzymatic degradation playing a central role in chemical transformation. Microbial consortia exhibit enhanced degradation efficiency by leveraging functional diversity and synergistic interactions among their microbial members. For instance, a consortium comprising Azospirillum, Cloacibacterium, and Ochrobacterium achieved 100% degradation of 50 mg L−1 glyphosate within 36 h. Advances in microbiome engineering have further expanded the scope of bioremediation by enabling the targeted manipulation of microbial communities to improve degradation specificity and performance. Notably, the recombined genomes of Psathyrella candolleana and Pseudomonas putida, generated through protoplast fusion, degraded 78.98% of pentachlorophenol in contaminated water. Additionally, engineering the rhizosphere with plant growth–promoting microorganisms, combined with microbial genetic modification, has demonstrated significant potential in enhancing pesticide degradation while simultaneously improving crop growth and productivity. Such integrative approaches represent a sustainable pathway towards resilient agroecosystems. This review synthesises current knowledge on the impacts of pesticides on crop physiology and metabolism, explores conventional and advanced microbe-mediated degradation strategies, and highlights the role of microbial engineering and consortia-based systems. Furthermore, it discusses emerging technologies, environmental and economic benefits, and recent patentable innovations, underscoring their relevance for sustainable agriculture and ecological restoration.

Keywords: bio-remediation, degradation, microbiome engineering, pesticides, rhizosphere

1. Introduction

Pesticides are industrially synthesized chemical compounds, which are broadly applied to agricultural crops to protect them from pests (Zhou et al., 2025). A range of pesticides, for example, organochlorines, organophosphates, carbamates, pyrethroids etc. are frequently used to manage or lessen pest load in agricultural systems (Lin et al., 2020; Zhan et al., 2020). Pesticides are in use in agriculture since several years, and the earliest pesticide to be synthesized was dichloro-diphenyl-trichloroethane (DDT). After twenty years of its invention, its use was prohibited in agricultural ecosystems (Egbuna and Sawicka, 2020). Ever since then, numerous other pesticides have been introduced in the market globally, majority of them claiming to be harmless. The application of pesticides has increased dramatically to ensure adequate food for an ever-expanding population (Aryal and Aryal, 2023). India, where the greater part of the population is reliant on agriculture, has experienced a considerable increase in pesticide consumption over time (Kashyap et al., 2024). In 2023, the gross amount of pesticides employed in the farming sector globally was around 3.728 million tonnes, with an average application to crops around 2.40 kg/ha (FAOSTAT, 2023). Out of 3.728 million tonnes of total pesticides used, herbicides constituted approximately 2.009, insecticides 0.759, fungicides and bactericides 0.778, rodenticides 0.017 and other pesticides 0.114 million tonnes (FAOSTAT, 2023). Brazil, United States, Indonesia, Argentina, China, Australia, Vietnam, Russia Federation, Canada and France are the top 10 countries in agricultural consumption of pesticides worldwide (Sasu, 2025). There are certain pesticides whose products have either deteriorated, been banned, or were procured in excess, and hence they are no longer in use (called obsolete pesticides). The total quantity of such pesticides in developing countries is around 400,000–500,000 tonnes. For example, use of DDT is banned worldwide under the Stockholm Convention but in India, its restricted use for public health programs (e.g., malaria control) is allowed up to 10,000 metric tonnes yearly under stringent governmental administration. Similarly, a study reported that approximately 146,000 tonnes of pesticides were banned in European Union but they were being used in United States in 2016 (Donley, 2019). In 2024, nearly 122,000 tonnes of banned pesticides were permitted for export from the European Union, including 1, 3-dichloropropene: over 20,000 tonnes, Glufosinate: almost 20,000 tonnes and Mancozeb: more than 8,500 tonnes (Fleck, 2025).

Nearly ≤5% of the total used pesticides inhibits the targeted pest organisms, whereas left over >95% of these pesticides do not reach the designated pests. Subsequently, the remains of the pesticides are accumulated in the adjacent environments, get mixed with water and soil and contaminate them (Sarker et al., 2021). Pesticide remains have damaging impacts on diverse life forms and ecosystems (Yadav and Devi, 2017) because of their persistent and bio-magnification properties. Pesticides frequently pollute water, soil and air, leading to long-lasting damage to environment and a major threat to human health (Rani et al., 2021; Mukherjee et al., 2024), even in minute traces. Approximately 2.2 million people, generally from developing countries, are at larger risk from pesticide exposure (Kaur et al., 2019). According to World Health Organization (WHO), pesticides are accountable for roughly three million people suffering from poisoning and 2,00,000 deaths yearly (López-Benítez et al., 2024). Furthermore, rigorous use of pesticides has caused surface and groundwater pollution (Dhankhar and Kumar, 2023), ensuing from agricultural runoff, with their subsequent percolation into the soil (Sharma et al., 2019a), as well as contaminating the marine ecosystem. Pesticides are also harmful for the plants (Dreistadt, 2016) and get distributed via food webs (Kumar et al., 2021a). Several regulations/guidelines have been recommended to evaluate human health risks and environmental effects emanating from the use of extremely lethal and persistent pesticides, to restrain their market value, and to ensure proper control of their residues. International organizations, for instance, World Health Organization (WHO), Food and Agriculture Organization (FAO) and Environmental Protection Agency (EPA) have established legal guidelines for pesticide regulation (Naidenko, 2020). In spite of these regulatory attempts, pesticide pollution remains a universal challenge, especially for developing nations, where pesticide use is continuously rising without proper regulation (Zikankuba et al., 2019). Therefore, developing potent and sustainable means for pesticide degradation is important for mitigation of their harmful impacts and protection of natural resources.

Various methods of remediation have been developed, which are largely based on the type and class of pollutants (Karimi et al., 2022; Mahalle et al., 2025). Pesticides present in the soil can be degraded by several ways; the conventional methods include physical, chemical, and physio-chemical degradation, which mostly result in secondary pollution (Karimi et al., 2022). Bioremediation is a broadly recognized, environment-friendly, and sustainable method of depolluting a contaminated environment (Bokade et al., 2021). Microorganisms have great resilience, biochemical flexibility, functional diversity, and employ diverse kinds of metabolisms to degrade pesticides, which they use as source of nitrogen, carbon, phosphorus and energy (Kumar et al., 2021b; Rodríguez et al., 2020). In general, microbes metabolize pesticides in two ways, (1) complete breakdown of the compounds or (2) mineralization of pesticides, in which majority of the by-products are fit for release into the environment (Dar et al., 2022). Additionally, biodegradation of pesticides is less costly than traditional approaches, which makes it economically feasible, and the by-products released are almost harmless to the environment (Carles et al., 2021; Dar et al., 2022). According to the US Environmental Protection Agency (USEPA), bioremediation is a useful and eco-friendly approach for restoring polluted environments and boosting sustainable development (Kour et al., 2022). Diverse microorganisms have an inherent capability to degrade pesticides, including bacteria (Bacillus, Pseudomonas, Arthrobacter, Acinetobacter, Serratia), actinomycetes (Streptomyces), archaea (Sulfolobus, Methanobacterium), fungi (Aspergillus, Penicillium, Trichoderma), and algae (Chlorella, Chlamydomonas) (Guerrero Ramírez et al., 2023; Aparici-Carratalá et al., 2023; Dinakarkumar et al., 2024; Akmukhanova et al., 2025). Nevertheless, the slow efficiency of these microbes, coupled with a complex and unstable natural environment, may influence the viability and efficiency of microbe-mediated degradation of pesticides. Therefore, there is a dire need to create genetically engineered microorganisms (GEMs) to increase the production of genes and their products with an aim to enhance their pesticide degradation potential.

Several reviews highlighting the potential use of microorganisms in pesticide degradation are available in the literature. However, a review on the genetic manipulation of microbes to increase their pesticide degradation capability in agricultural soil ecosystems has not been performed. Such a review would aid in identifying the potential of microbial engineering technology and examine the existing information, thereby assisting in the development of effective remediation approaches for agricultural soils. This review aimed to gather and analyze scientific research conducted on the use of genetic engineering for producing GEMs, along with the advantages of using microbial consortia as an alternative to conventional technologies for the degradation of pesticides in agricultural soils. The examination of the collected literature facilitated exploring whether the use of GEMs is financially feasible to improve the efficiency of pesticide degradation. This review provides a holistic perspective on the impacts of pesticides on growth and metabolism of crop plants, conventional approaches employed for microbe-mediated degradation of pesticides, how genetic manipulation in microbes can be efficiently utilized in pesticide bioremediation, benefits of using microbial consortia for pesticide degradation, advantages of microbial engineering for environment and economic benefits, thereby identifying new research opportunities and establishing novel practical applications. To achieve the aim, a comprehensive meta-analysis of relevant literature was conducted. We focused on microbiome engineering, microbial pesticides, rhizosphere and patents related to microbial pesticides and their biodegradation properties. The primary databases used for searching literature included Web of Science, PubMed, Scopus, and others. This approach enabled a structured evaluation of existing knowledge, while also highlighting opportunities for future research and innovation.

2. Effect of pesticides on growth and metabolism of crop plants

Pesticides can deliver agronomic benefits when used in appropriate amounts. Seed treatments suppress early seed- and soil-borne pests and pathogens, improve seedling emergence and establishment, and grain yield in winter wheat under real field conditions (Turkington et al., 2016). Strobilurin fungicides have also been shown to improve nitrogen use efficiency and support yield and protein targets in durum wheat grown under rainfed Mediterranean conditions, consistent with better maintenance of green area and delayed senescence reported for this fungicide class (Carucci et al., 2020). The defence activator acibenzolar-S-methyl (ASM) primes systemic acquired resistance and can reduce disease severity and spray intensity, an effect confirmed in Arabidopsis and reviewed across crops (Ito et al., 2024). Herbicide safeners have been reported to assist crops in tolerating herbicides by inducing detoxification pathways such as glutathione S-transferases (GSTs), UDP-glycosyltransferases (UGTs), and ABC transporters, thereby reducing crop injury (Dimaano and Iwakami, 2021; Deng, 2022). However, pesticide residues in harvested commodities introduce a food-safety dimension. Although processing steps, such as washing, peeling, and thermal treatment, cause reduction in residues (Kim et al., 2017; García-Vara et al., 2022), still they may be present in alarming levels. Current European surveillance indicated that 3.9% of 87,863 samples exceeded maximum residue limits in 2021 and 3.7% of 110,829 samples in 2022 (EFSA et al., 2023, 2024).

Despite their positive role, pesticides can have negative effects on plant growth and metabolism when applied incorrectly or in excessive amounts (Alengebawy et al., 2021) (Table 1; Figure 1). Studies have documented reduced biomass, altered phenology and architecture, visible injury such as chlorosis and necrosis, and hormonal disruptions affecting auxins, cytokinins, gibberellins, ethylene, and abscisic acid in response to excess pesticide applications (Sharma et al., 2019b; Mukherjee et al., 2022; Guedes et al., 2023; Virk et al., 2024). Mechanistically, many pesticides impair photosynthetic machinery, reduce pigment pools, and trigger oxidative stress that damages membranes and disrupts carbon and nitrogen metabolism (Zhang et al., 2019; Hasanuzzaman et al., 2020; Hatamleh et al., 2022; Traxler et al., 2023). Experimental work demonstrates that chlorophyll fluorescence (PSII) and chlorophyll content can decline after neonicotinoid exposure in crops and seedlings, resulting in associated yield penalties, as observed in long-term studies in chickpea and lettuce (Liu et al., 2021; Shahid et al., 2021). These physiological changes are consistent with earlier canopy senescence and reduced photosynthetic capacity under stress (Hasanuzzaman et al., 2020). Organophosphates exemplify redox-driven phytotoxicity. In rice, sub-chronic chlorpyrifos exposure perturbed physiology and induced oxidative stress (Mu et al., 2022). In maize also, chlorpyrifos caused toxicity, however, soil amendments such as biochar and compost mitigated pigment loss, membrane damage, and oxidative markers (Aziz et al., 2021). These effects lead to yield loses through smaller or prematurely senescing canopies and impaired photochemistry that lower radiation-use efficiency. Beyond direct plant effects, pesticides also reshape soil biology. Studies have reported reductions in microbial biomass and shifts in community structure, as well as suppression of soil enzymes, including dehydrogenases, β-glucosidases, and phosphatases, which regulate nutrient cycling and rhizosphere signalling (Walder et al., 2022; Hou et al., 2011; Ghosh et al., 2023; Daunoras et al., 2024). Table 2 summarizes some studies demonstrating the effects of various pesticides on different plants. Thus, while pesticides play a role in crop protection, their adverse impacts on plant growth and metabolism necessitate careful management and adoption of sustainable practices.

Table 1.

Pesticides and their residues in plants along with their produce and products.

Crop plant Pesticide treatment details Residue content in plant parts References
Durum Wheat (cv. Platone)
  • Prothioconazole (150 g L−1), Benzovindiflupyr (75 g L−1), Acetamiprid (200 g L−1) on 14 June 2021;

  • Deltamethrin (25 g L−1), λ-Cyhalothrin (25 g L−1) on 21 June 2021

  • 5 × recommended doses

  • Milling fractions (bran, middlings) concentrated residues (Pf = 2.9–6.8).

  • Aldrin, endrin, methoxychlor, permethrin: high in bran (Pf 1.9–2.5).

  • Malathion, methoxychlor, lindane: 0–2.6 mg/kg in flour

  • Cypermethrin & fenvalerate: bran > middlings > flour

Pelosi et al. (2025)
Rice (Oryza sativa L.)
  • Deltamethrin, Penconazole, Kresoxim-methyl, Cyproconazole, Epoxiconazole

  • Azoxystrobin; artificial contamination (20–50 μg/kg) air-dried 24 h, washed with mineral water.

  • Bran contained 2.5 × higher residues

  • Kresoxim-methyl: 20.3 ppb in paddy rice samples (34/50 > EU MRL 0.01 mg/kg);

  • 13.7 ppb in brown rice; 5.53 ppb in polished rice.

  • Processing reduced residues by 66.1–74.7%

  • Polishing removed residues by 43.1–67.8%.

  • Washing reduced 22 pesticides (0.53–30.4%); cadusafos 65.8%, propyzamide 39.1%.

Medina et al. (2021) and Carreiró et al. (2024)
Maize (Zea mays L.)
  • 16 pesticides detected in 358 field samples in China including Pyraclostrobin, Tebuconazole, Carbendazim, Triadimefon, Chlorpyrifos, Metolachlor, Thiamethoxam

  • Kernel residues 1.0–175.9 μg/kg.

  • 21.3% of samples contained ≥1 pesticide (max 6).

  • Pyraclostrobin 1.0–94.5 μg/kg (2 > MRL).

  • Tebuconazole 3.2–175.9 μg/kg (none > MRL).

  • Thiamethoxam 5.5–72.7 μg/kg (2 > MRL).

  • Carbendazim ≤25.0 μg/kg,

  • Triadimefon 2.3–4.0 μg/kg,

  • Chlorpyrifos 2.0–7.6 μg/kg.

Wei et al. (2025)
Fieldpea (Pisum sativum L.)
  • Pendimethalin, Imazethapyr, Quizalofop-p-ethyl at recommended rates

  • Residues in pea grains and soil <0.05 mg/kg (below detection).

Das et al. (2024)
Onion (Allium cepa L., dry bulb)
  • Fluchloralin (1.0 kg a.i./ha), Pendimethalin (0.75 kg a.i./ha), Oxyfluorfen (0.25 kg a.i./ha);

  • Sequential applications of these pesticides (multiple (repeated) applications.)

  • Residues: Fluchloralin 0.0098 μg/g; Pendimethalin 0.02 μg/g; Oxyfluorfen 0.005 μg/g.

  • Fluchloralin fb Fluchloralin 0.0173 μg/g, Pendimethalin fb Pendimethalin 0.041 μg/g, Oxyfluorfen fb Oxyfluorfen 0.008 μg/g (all <MRL).

Das et al. (2024)
Rapeseed
  • Imidacloprid, Thiamethoxam, Quizalofop-p-ethyl

  • Imidacloprid 0.025 mg/kg; Thiamethoxam 0.012–0.634 mg/kg;

  • Quizalofop-p-ethyl 0.011 mg/kg.

Liu N. et al. (2024)
Cabbage
  • Organochlorine and organophosphate pesticides incl. p,p’-DDE, Aldrin, Chlorfenvinphos, Fenitrothion, Permethrin, Endosulfan sulphate, Deltamethrin, Fenvalerate, Cypermethrin, Methoxychlor, Fonofos, Diazinon.

  • DDE 0.04 μg/kg;

  • Aldrin 0.01 μg/kg;

  • Chlorfenvinphos <0.01–0.06 μg/kg;

  • Permethrin <0.01–0.15 μg/kg;

  • Endosulfan sulphate 0.05 μg/kg;

  • Deltamethrin <0.01–1.60 μg/kg;

  • Fonofos 0.43 μg/kg.

Fosu et al. (2017)
Goji
  • Cypermethrin, Dimethoate, Methomyl, Flutriafol, Carbendazim

  • Cypermethrin 0.021–0.136 mg/kg;

  • Dimethoate 0.0153–0.595 mg/kg;

  • Methomyl 0.0162–0.0518 mg/kg;

  • Flutriafol 0.0098–0.0693 mg/kg;

  • Carbendazim 0.08–0.096 mg/kg.

Chen et al. (2023)
Mint
  • Azoxystrobin, Bifenthrin, Cypermethrin

  • Azoxystrobin 0.101–1.44 mg/kg;

  • Bifenthrin 0.00304–0.0657 mg/kg;

  • Cypermethrin 0.0536–0.110 mg/kg.

Zhang et al. (2023)
Tomato
  • Dimetomorph

  • 0.01 mg/kg.

Bojacá et al. (2013)
Eggplant/Tomato
  • Cypermethrin

  • Eggplant Nd–0.13 mg/kg;

  • Tomato 0.02–0.24 mg/kg

Jallow et al. (2017)
Carrot
  • Metribuzin (300 g a.i./ha PE; 400 g a.i./ha PE).

  • 0.074 ppm and 0.098 ppm at 84 DAA

Kulshrestha and Singh (2001)
Cocoa beans
  • Chlorpyrifos

  • 0.04 mg/kg.

Okoffo et al. (2017)

Pf = Processing Factors, i.e., specific concentration or dilution factors of pesticide residues in processed food as they are defined in Reg. (EC) No. 396/2005 (European Commission), 2005). MRL, Maximum Residue Limits; Nd, not detected; a.i./ha, active ingredient per hectare, fb, followed by.

Figure 1.

Diagram illustrating the effects of pesticide application on crop plants. It shows direct physiological impacts like growth inhibition, chlorosis, and reduced yield. Hormonal imbalance leads to disruptions in photosynthesis and respiration. Cellular stress responses include protein synthesis alteration, membrane damage, and oxidative stress. The quality of produce is affected with reduced nutritional quality and pesticide residue accumulation.

Mechanistic overview of pesticide effects on plant physiology and productivity. The effects of pesticides range from biochemical changes, metabolic perturbations, physiological modifications to ultimate changes in yield and product quality. The pictorial representation demonstrates that it is the overall effects on oxidative metabolism, enzyme activities, hormone levels, photosynthetic and respiratory metabolisms, altered root, shoot and leaf growth and flowering and produce development that results into loss of yield and quality of plant products.

Table 2.

The effects of various pesticides on the physiology and metabolism of plants.

Crop plant Pesticide name and treatment details in brief Effects on plants References
Vitis vinifera L. × Vitis labrusca L. (Grapevine) Acetochlor, Soil, 22,460 g a.i. ha−1, 30 days Increase in superoxide radicals (O2·-) and malondialdehyde (MDA) levels; Decrease in ascorbate peroxidase (APOX), catalase (CAT), peroxidase (POD), and superoxide dismutase (SOD) activities in leaves (upper node) Tan et al. (2012)
Brassica napus L. (Rapeseed) Napropamide, Seedling, 8 mg L−1, 5 days Increase in thiobarbituric acid reactive substances (TBARS) in leaves Cui et al. (2010)
Pennisetum americanum L. Atrazine, Soil, 10 mg kg−1, 38 days Increase in malondialdehyde (MDA) in shoot and root Jiang et al. (2016)
Lactuca sativa L. (Lettuce) Alachlor, Hoagland medium, 2 μM, 24 days Increase in catalase (CAT) and superoxide dismutase (SOD); Decrease in peroxidase (POD) in leaves Štajner et al. (2003)
Lactuca sativa L. (Lettuce) Imidacloprid and Fenvalerate, 10 mg/L Under Imidacloprid treatment: decreased iron, arginine, cysteine, homoserine, 4-hydroxyisoleucine, proline, and total amino acids. Under Fenvalerate treatment: increased iron content, reduced flavonoid and vitamin C levels. Zhang et al. (2022b)
Brassica juncea L. (Indian mustard/Chinese mustard) Imidacloprid, Soil, 300 mg kg−1, 80 days Increase in ascorbate peroxidase (APOX), guaiacol peroxidase (GPOX), glutathione reductase (GR), glutathione S-transferase (GST), and peroxidase (POD) in green pods Sharma et al. (2016)
Oryza sativa L. (Rice) Imidacloprid, Sand, 0.01%, 12 days Increase in ascorbate peroxidase (APOX), dehydroascorbate reductase (DHAR), glutathione reductase (GR), monodehydroascorbate reductase (MDHAR), and superoxide dismutase (SOD); Decrease in catalase (CAT) and peroxidase (POD) in seedlings. Sharma et al. (2013)
Oryza sativa L. (Rice) Diuron, 0.125 mg/L, 0.25 mg/L, 0.5 mg/L, 1.0 mg/L, 2.0 mg/L Decreased elongation, biomass, and chlorophyll; Increased malondialdehyde (MDA), superoxide dismutase (SOD), peroxidase (POD), glutathione reductase (GR), polyphenol oxidase (PPO), ascorbic acid peroxidase (APX), catalase (CAT), and jasmonic acid (JA); Glutathione (GSH) increased then decreased Wang et al. (2022)
Vigna radiata L. (Mungbean) Chlorpyrifos Enhanced rate of proline content and lipid peroxidation; significantly declined glutathione level Parween et al. (2018)
Triticum aestivum L. (Wheat) Imidacloprid, 100 mg/kg, 200 mg/kg Decreased jasmonic acid in root and leaf, decreased indole acetic acid in root and leaf, increased abscisic acid in root and leaf, decreased ferulic acid Li et al. (2023)
Zea mays L. (Maize) Metolachlor, 0.5 mg/L, 1.0 mg/L, 2.0 mg/L, 4.0 mg/L, 8.0 mg/L Increased malondialdehyde (MDA), ascorbic acid peroxidase (APX), glutathione peroxidase (GPX), and catalase (CAT); Decreased germination, biomass production, and vigor index; Decreased ethyl carbamate50; MDA increased by 26.0 and 48.9% at 1.0 and 2.0 mg/L, respectively Panfili et al. (2019)
Trifolium pratense L., Lotus corniculatus L., Trifolium repens L., Cichorium intybus L. Glyphosate, 1,440 g a.i./ha Decreased cumulative number of Trifolium pratense L. flowers and Lotus corniculatus L. flowers; Increased cumulative number of Trifolium repens L. flowers Strandberg et al. (2021)
Glycine max L. Merr. (Soybean) Deltamethrin, Spray, 0.20%, 10 days Increase in ascorbate peroxidase (APOX), glutathione reductase (GR), and superoxide dismutase (SOD); Decrease in catalase (CAT) in leaves Bashir et al. (2007)
Elodea canadensis Michx. (Canadian waterweed), Eleocharis acicularis L. (Needle spikerush), Mentha aquatica L. (Water mint) Chlorpyrifos, 50 μg/dm3, 100 μg/dm3, 150 μg/dm3 Increased glutathione peroxidase activity; decreased glutathione S-transferase, chlorophyll a, chlorophyll b, and carotene contents Sobiecka et al. (2022a, 2022b)
Arabidopsis thaliana (Arabidopsis) Dichlorprop, 0.1 μM, 0.2 μM, 0.3 μM Reduced plant growth; increased H₂O₂, jasmonic acid, and salicylic acid levels; abscisic acid decreased initially and then increased at higher concentrations Chen et al. (2021)

a.i./ha, active ingredient per hectare.

3. Traditional approaches for microbial degradation of pesticides

3.1. Natural attenuation

Natural attenuation (NA), also referred to as intrinsic bioremediation, is a passive remediation strategy that relies on the innate metabolic activities of indigenous microbial communities to degrade pesticides and other contaminants in situ without direct human intervention (Lopes et al., 2022) Figure 2. The effectiveness of NA is influenced by multiple factors, including type and concentration of pesticides present, composition and abundance of native microbial populations, and environmental conditions such as temperature, pH, moisture, and nutrient availability (Gonçalves and Delabona, 2022). Microbial degradation under anaerobic conditions through NA typically involves enzymatic processes such as hydrolysis, oxidation–reduction, and dechlorination. Bacterial strains like Pseudomonas spp., Bacillus spp., Sphingomonas spp., Xanthomonas spp., Stenotrophomona and Bacillus cereus have been found to degrade chlorpyrifos with variable efficiency (Mahalle et al., 2025). Other studies have also documented capability of bacterial and fungal strains to degrade chlorpyrifos residues (Kumar G. et al., 2022). Enzymes involved in pesticide breakdown are sensitive to environmental parameters. For instance, microbial consortia degrading chlorpyrifos in soil exhibited marked decreases in half-life when nutrient and aeration conditions were optimized (Conde-Avila et al., 2021). In addition to microbial metabolism, NA may be enhanced by sorption, volatilization, and diffusion processes, which reduce the active concentrations and availability of pesticides. A recent review highlighted how low-cost sorbents (e.g., biochar, activated carbon) integrated with NA approach can substantially increase removal efficiencies (over 90%) under optimized laboratory conditions (Bala et al., 2022). However, NA has inherent limitations. It is often slow and may result in incomplete degradation and mineralization and may sometimes lead to generation of persistent intermediates (Lopes et al., 2022).

Figure 2.

Diagram illustrating various bioremediation strategies for contaminated soil. At the top, phytoremediation is shown with a plant. Below, three circles represent natural attenuation (with a chemical equation for chlorpyrifos degradation), biostimulation (with a DDT breakdown equation), and bioaugmentation (featuring parathion degradation). At the bottom, a biopile system is depicted with pesticide-contaminated soil, nutrients, microbes, an impermeable membrane, and a treatment process involving off-gas separation and water treatment.

Different methods of degradation of pesticides, i.e., natural attenuation (relying on natural dilution/sorption/biodegrading), bioaugmentation (adding pesticide-degrading microbes to accelerate cleanup), biostimulation (supplying nutrients/oxygen/carbon to boost native degraders), and biopiling (piling and aerating amended soil for controlled biodegrading).

3.2. Bioaugmentation

Bioaugmentation is an engineered bioremediation approach that involves introducing specific microbial inoculants to enhance pesticide degradation in contaminated environments (Jia et al., 2021; Bosu et al., 2024) Figure 2. For instance, Alcaligenes faecalis DSP3 achieved nearly 100% removal of chlorpyrifos (100 mg kg1) in silty clay soil within 12 days, far exceeding the 22% degradation observed in non-bioaugmented controls (Yadav et al., 2021). Bacillus spp. are effective pesticide degraders. Bacillus flexus XJU-4 aerobically degrades fenvalerate, channeling it through 3-phenoxybenzoate intermediates (Mulla et al., 2017). For pyrethroids, Bacillus cereus GW-01 degrades β-cypermethrin, and it was found that in vivo dosing with Bacillus cereus GW-01 reduced β-cypermethrin burdens and toxicity in mice (Zhao et al., 2022; Xie et al., 2023). Other Gram-positives (e.g., Brevibacillus parabrevis BCP-09) also remove deltamethrin efficiently (Zhang et al., 2024a). Apart from Bacillus, Serratia marcescens has demonstrated organophosphate detoxification through microbial degradation in an insect host model, underscoring its enzymatic potential for detoxifying organophosphates (Xia et al., 2023). Fungal systems such as Brown-rot Fomitopsis pinicola alone removes a substantial fraction of DDT within days, and co-cultures with bacteria (e.g., Ralstonia pickettii) can raise DDT removal to ~60% in lab media (Purnomo et al., 2020). Similar DDT-degrading performance by mixed cultures and other white-rot systems has been reported (Sariwati et al., 2017; Rizqi et al., 2023). Mechanistically, organophosphate hydrolases (OPH/phosphotriesterases) catalyze hydrolysis of P–O/P–S/P–F bonds in organophosphates. Recent work also links OPH to iron-responsive regulation and reiterates that opd loci occur on mobile elements and plasmids that facilitate horizontal transfer (Nandavaram et al., 2023). Finally, microbial consortia often outperform single strains due to metabolic complementarity and ecological stability, a pattern highlighted in recent syntheses (Alidoosti et al., 2024).

3.3. Biostimulation

Biostimulation is a widely used approach in bioremediation that enhances the indigenous microbial degradation of pesticides by optimizing environmental conditions (Aldas-Vargas et al., 2021). This method involves addition of nutrients, electron acceptors, or other growth-stimulating factors to contaminated sites, thereby promoting metabolic activity of indigenous microorganisms (Cycoń et al., 2017). Unlike bioaugmentation, which introduces exogenous microbial strains, biostimulation relies on the native microbial community and is therefore more cost-effective and environmentally sustainable (Romantschuk et al., 2023). The effectiveness of biostimulation depends on factors such as soil composition, contaminant type, and microbial diversity, which require tailored strategies for different sites (Romantschuk et al., 2023). A key aspect of biostimulation is nutrient supplementation, particularly nitrogen and phosphorus, which are known to be the limiting factors for microbial growth and pesticide breakdown (Aldas-Vargas et al., 2021; Kuppan et al., 2024). Studies have shown that adding these nutrients accelerates the degradation of pesticides, like chlorpyrifos, by increasing microbial biomass and enzymatic activity (Li X. et al., 2020). Carbon sources, such as molasses or simple sugars, stimulate co-metabolic degradation pathways in which microbes consume carbon and simultaneously degrade pesticides (Rana et al., 2019; Ahmad et al., 2022; Leskovac and Petrović, 2023). Adequate oxygen availability is also critical, and techniques such as soil aeration or use of oxygen-releasing compounds (ORCs) enhance microbial activity in oxygen-limited environments (Yu et al., 2024). Organic amendments, such as livestock manure or compost, can accelerate the breakdown of persistent pesticides by supplying essential nutrients, improving soil structure, and enhancing microbial habitats (Romantschuk et al., 2023). In addition, combined approaches such as biostimulation integrated with plant–microbe systems have shown promising results. For example, rhizosphere exudates, such as carboxylic acids, can enhance microbial degradation of recalcitrant pesticides in amended soils (Boutahiri et al., 2024).

3.4. Composting

Composting has become an effective and sustainable method for bioremediating soils contaminated with pesticides and other organic pollutants (Figure 2). The process operates optimally at thermophilic temperatures between 54 °C and 65 °C, which enhances microbial activity, enzymatic reactions, and overall degradation efficiency (Karimi et al., 2022; Ataikiru and Ajuzieogu, 2023). Composting proceeds through four distinct stages: mesophilic, thermophilic, cooling, and maturation. During the mesophilic phase, microbial decomposition of organic matter generates heat, increasing the temperature to around 55 °C. The subsequent thermophilic stage is characterized by the dominance of heat-tolerant bacteria and actinomycetes that are capable of degrading complex organic compounds, such as lignin, cellulose, and residual xenobiotics (Wong and Wong, 2023). As nutrients become limited, temperatures gradually decline during the cooling phase, allowing mesophilic fungi and bacteria such as Aspergillus, Penicillium, Bacillus, and Pseudomonas species to continue decomposition, while maturation stage stabilizes the material into nutrient-rich, non-toxic compost (Zhang et al., 2022a; Aguilar-Paredes et al., 2023). The mechanisms of pesticide degradation during composting involve both adsorption and microbial transformation. Adsorption onto organic matter or added materials such as straw, manure, or wood chips reduces pesticide bioavailability, while microbial metabolism converts these compounds into simpler, less toxic products (Ataikiru and Ajuzieogu, 2023). Thus, composting offers a cost-effective and environmentally viable solution for detoxifying pesticide-contaminated soils, particularly when combined with biochar or nutrient-amended systems that enhance microbial resilience and enzymatic activity.

3.5. Mycoremediation

Mycoremediation uses fungi to degrade pesticide residues in contaminated environments through enzymatic and metabolic processes (Dinakarkumar et al., 2024). Fungal community succession studies indicate that species belonging to Aspergillus and Penicillium predominate during soil remediation and composting stages, where oxidative and hydrolytic enzymatic activities remain high (Swathy et al., 2024). For example, Aspergillus sydowii CBMAI 935, isolated from marine environments, acts as a biocatalyst for degrading chlorpyrifos and profenofos, highlighting its potential for bioremediation applications (González-Abradelo et al., 2019). Fungal species like Bionectria antennata reduce diazinon concentrations by 83.88% within 10 days, leveraging pesticides as carbon sources (Njoku et al., 2020). Pleurotus ostreatus and Aspergillus niger have been widely reported to efficiently remediate pesticide-contaminated soils while maintaining soil fertility and avoiding secondary pollution (Dinakarkumar et al., 2024; Swathy et al., 2024). Enzymes such as laccases, peroxidases, and cytochrome P450 monooxygenases play critical roles in fungal breakdown of organochlorine and organophosphate pesticides (Thirumalaivasan et al., 2024). These enzymes catalyze oxidation, dechlorination, and hydrolysis of toxic compounds, transforming them into less persistent and less toxic intermediates. The integration of fungal–bacterial consortia has been shown to further improve degradation rates by expanding the metabolic range and increasing resilience under variable soil conditions (Thirumalaivasan et al., 2024).

3.6. Anaerobic degradation

Anaerobic degradation of pesticides under oxygen-limited conditions involves metabolic activities of diverse microorganisms utilizing alternative electron acceptors, such as nitrate, sulphate, ferric iron, and carbon dioxide (Ghattas et al., 2017; Li et al., 2021). This degradation route is particularly important for persistent and recalcitrant pesticides that resist rapid aerobic breakdown. In nitrate- and sulphate-reducing environments, microbial communities can cause reductive dechlorination of organochlorine compounds like lindane and pentachlorophenol via sequential chlorine removal by specialist bacteria such as those belonging to the genus Dehalococcoides (Li et al., 2021). For example, organohalide-respiring bacteria express reductive dehalogenase enzymes that catalyse removal of halogen substituent under strict anaerobic conditions (Ghattas et al., 2017; Yan et al., 2024). Engineered anaerobic bioremediation systems, including substrate amendments, microbial bioaugmentation and permeable reactive barriers have demonstrated enhanced removal of chlorinated pesticide residues in soil and groundwater by creating low-redox zones conducive for dehalogenation (Li et al., 2021). Under anoxic conditions, microbial hydrolysis, mineralization, and co-metabolic pathways can facilitate the breakdown of organophosphate or carbamate pesticides also, although these routes are less well-characterized than those for halogenated compounds (Ghattas et al., 2017).

3.7. Land farming and biopiles

Land farming is an ex-situ bioremediation method in which contaminated soil is excavated, spread over a prepared bed, and periodically tilled to enhance aeration and microbial activity (Raffa and Chiampo, 2021). The method relies on indigenous microorganisms which degrade organic pollutants through oxidative and enzymatic processes in the presence of oxygen. Although it is low in cost and relatively simple to operate, the remediation period can be long, and the process poses risk of contaminant leaching or volatilization under uncontrolled conditions (Michael-Igolima et al., 2022). The efficiency of land farming depends on parameters, such as temperature, moisture, soil texture, pH, and nutrient balance. Nutrient and organic amendments, including compost, manure, and straw can significantly enhance microbial degradation activity by improving soil structure and nutrient availability (Lau, 2023). These co-amendments promote the proliferation of hydrocarbon- and pesticide-degrading bacteria, thereby increasing enzymatic activity involved in contaminant transformation.

Biopiles are more engineered and space-efficient alternative to land farming, combining controlled aeration, moisture regulation, and nutrient amendment to accelerate contaminant degradation (da Sales Silva et al., 2020). In biopile systems, contaminated soil is heaped on a lined platform, aerated either passively or through mechanical blowers, and supplemented with nutrients to sustain microbial metabolism (Alori et al., 2022) Figure 2. The addition of bulking agents, such as sawdust, compost, or biochar, improves porosity and oxygen transfer, thereby enhancing degradation of persistent pesticides, including DDT, endosulfan, and atrazine (Lau, 2023; Bala et al., 2022). Field-scale applications have demonstrated that integrating organic co-substrates or surfactant-modified soils into biopile systems can remove more than 80% of mixed pesticide residues within three months (Raffa and Chiampo, 2021; Mekonnen et al., 2024). The combination of microbial bioaugmentation further improves efficiency, making biopiles suitable for the remediation of time-sensitive and highly contaminated soils (Raffa and Chiampo, 2021). Compared with land farming, biopiles typically require less space and shorter treatment times. However, higher capital investment and continuous monitoring of temperature, aeration, and moisture is necessary to maintain optimal microbial performance.

3.8. Bioslurry reactors

Slurry bioreactors represent one of the most advanced ex-situ soil bioremediation methods, offering precise control over process variables such as pH, temperature, dissolved oxygen, mixing intensity, hydraulic retention time, and nutrient balance, which together govern microbial activity and contaminant bioavailability (Sun et al., 2023). In operation, contaminated soil is typically excavated, screened to remove oversized debris, and then mixed with water to form homogeneous slurry, which improves contact among microorganisms, nutrients, and pesticide molecules and reduce bioavailability constraints (Perez-Vazquez et al., 2024; Aljabri, 2025). Because mixing and phase transfer are strengthened in slurry systems, rate limitations linked to contaminant desorption and mass transfer are alleviated compared to less controlled soil treatments (Alori et al., 2022; Nie et al., 2024). These systems may operate under aerobic, anoxic or anaerobic conditions, and can run in batch, semi-continuous or continuous modes depending on the contaminant type and remediation goal. Slurry bioreactors have been used effectively for the treatment of herbicides, pesticides, explosives and polycyclic aromatic hydrocarbons, especially when supplemented with additional electron acceptors or carbon substrates to stimulate microbial communities (Sun et al., 2023). For example, recent work on bio-slurry reactors has demonstrated that soil-to-water ratios in the range of 1:10 to 1:20 along with the addition of co-substrates significantly enhanced the removal of dimethoate and similar organophosphates (Guowen et al., 2023). Although promising, high capital and operational costs of slurry bioreactor systems restrict their widespread application until medium- or full-scale field demonstrations become more common. Moreover, microbial community characterization within these systems remains under-explored. Additional constraints often include slurry handling logistics, energy requirements for mixing and aeration, management of spent water and fine solids, and need to scale laboratory-optimized conditions to variable field soils without loss of performance (Perez-Vazquez et al., 2024; Sun et al., 2023). In this context, greater use of microbial communities along with linking of key degraders having catabolic genes is important for improving predictability and designing robust operational strategies across pesticide classes (Raffa and Chiampo, 2021; Sun et al., 2023).

4. Biotechnological foundations of microbial consortia for pesticide degradation

The widespread use of chemical pesticides has led to significant adverse impacts on the environment, prompting the use of various physico-chemical and microbial techniques to eliminate pesticide contamination. However, compared to physico-chemical methods, microbial approaches have proven to be more robust and effective due to their efficiency and eco-friendly nature. From a microbiological perspective, many researchers have focused on axenic cultures for studying microbial pesticide degradation (Qian et al., 2019). Various gene expression pathways, metabolic pathways, and functional proteins have been identified in culturable microbes, which play a pivotal role in pesticide degradation. However, studies suggest that combined microbial applications exhibit a higher level of bioremediation efficiency compared to monoculture approaches (Lee et al., 2018; Qian et al., 2019; Bhatt et al., 2021; Zhang and Zhang, 2022). Traditional metabolic engineering using pure cultures provides essential insights into microbial pathways and their key metabolic products (Lopes et al., 2022). The absence of genes and enzymes in silent metabolic pathways, along with stringent culture requirements, significantly limits yield and productivity of metabolic products (Bhatia et al., 2018). Various commercially available pure-cultured microbes have been used on a large scale as bio-decontaminating and soil- conditioning agents. However, literature suggests that approximately 99% of environmentally friendly microbes cannot be cultivated in laboratories using traditional techniques (Egelkamp et al., 2019).

Researchers have suggested that microbial consortia from diverse environments holds strong potential for degrading toxic chemical pesticides compared to single microbes (Qian et al., 2019). Previously, microbiologists have employed various genetic engineering approaches to upregulate biomolecules; however, these efforts have only achieved limited success for commercialization in large-scale remediation (Rebello et al., 2021). One major limitation of using a single microbial strain for pesticide toxicity reduction is its metabolic burden. Due to limited resources, a single strain is often unable to perform multiple tasks simultaneously. Pesticide-induced toxicity causes cellular stress, prompting the host cell to consume increased amounts of energy in the form of NADH (nicotinamide adenine dinucleotide) and ATP (adenosine triphosphate) (He et al., 2017; Vermelho et al., 2024). Pesticide-degrading microbial strains synthesize these energy-rich molecules through universal metabolic pathways (He et al., 2017). The combined effects of metabolic burden and cellular stress lead to a significant decline in microbial biosynthesis, a phenomenon known as metabolic cliff (Vermelho et al., 2024). To address the limitations of single microbial strains, microbiologists have developed an alternative approach known as microbial consortium strategy (Nunes et al., 2024). In terms of metabolic pathways, single eukaryotic strain often perform better due to compartmentalization within the eukaryotic cell, which plays a crucial role in mitigating the effects of the metabolic cliff. In microbial consortia, various strains coordinate through a division of labour, with each member assigned a distinct metabolic role. Some members are responsible for pesticide bioremediation, while others play a pivotal role in regulating the production of biochemical compounds within the cells (Ram et al., 2022; Nunes et al., 2024). Therefore, microbial consortia offer the most effective solution for pesticide degradation and managing metabolic load in contaminated environment (Li et al., 2022).

Various studies have demonstrated that microbial consortia can rapidly degrade pesticides in a better way compared to single microorganism (Roell et al., 2019) (Table 3). Mixed microbial strains have been shown to perform complex tasks more effectively than individual strains (Nunes et al., 2024). In pesticide degradation, these consortia enhance efficiency by sharing metabolic responsibilities through interconnected degradation pathways. Each strain within the consortium can independently carry out specific steps in the degradation process—tasks that may be too complex for a single strain to handle alone. In natural environments, microbial consortia exhibit greater resilience to environmental fluctuations compared to individual strains. They also tend to resist invasion by foreign microbial species more effectively (Harcombe et al., 2018). A crucial factor in the functionality of these consortia is intercellular communication, which defines the role of each strain during degradation. The primary mechanism for such coordination is quorum sensing (QS), wherein bacterial cells produce and respond to signalling molecules, primarily lactones that serve as diffusible signals. It has been reported that inoculation with a microbial consortium in different soil samples enhanced plant growth and pollutant remediation by approximately 48 and 80%, respectively, whereas inoculation with a single microbial strain resulted in only about 29 and 48% improvement in plant growth and pollutant remediation, respectively (Liu et al., 2023). As per the high rate of environmental remediation processes is concerned, microbial consortia is commonly used than the single strain. The microbial consortia have been reported to exhibit a higher degradation capacity for toxic compounds in soil and sewage compared to single microbial strain applications. Reports also suggest that consortia-treated soil significantly enhances the growth and vigor of various shrubs and trees, while consortia-treated sewage water can be safely utilized for irrigating non-edible commercial crops (Biswas et al., 2021). Microbial consortia possess a superior ability to degrade complex compounds such as starch and cellulose, which cannot be efficiently broken down by a single strain. Within the consortium, different microbial strains work synergistically—some degrade these complex polymers into simpler sugars, which then serve as carbon sources for other microorganisms in the group (Wang S. et al., 2019; Tondro et al., 2020).

Table 3.

Role of microbial consortia in the degradation of pesticides under different environmental conditions.

Microbial consortium Growth media Pesticide degraded Transitional compounds References
Actinomycetes, Proteobacteria Soil Methyl parathion, Parathion 4-Nitrocatechol, 4-Nitrophenol Paul et al. (2006)
Pseudomonas spp. Minimal medium Carbamate insecticide 1-Naphthol, catechol, salicylic acid Chapalamadugu S and Chaudhry GR (1991)
Bacterial biofilm A, B, C, D Minimal medium Methyl Diclofop, Diclofop, 4 (2,4dichlorophenoxy)-phenol Wolfaardt et al. (1994)
Serratia marcescens Minimal medium Dichlorodiphenyltrichloroethane (DDT) 1,1-Dichloro 2,2 bis (4-chlorophenyl) ethane,
1,1,1-trichloro-2-o-chlorophenyl 2-pchlorophenylethane
Bidlan and Manonmani (2002)
Indigenous soil bacterial combination Minimal medium, Soil Carbendazim, 2,4 dichlorophenoxyacetic acid 2-Aminobenzimidazole,2- hydroxybenzimidazole Pattanasupong et al. (2004)
Actinobacteria consortium Soil with Lindane contamination Lindane 1,24-Trichlorobenzene, 2,5-dichlorophenol,2,5- dichlorohydroquinone Lin et al. (2020); Raimondo et al. (2020)
Pseudomonas putida, CFR1021, P. fluorescens CFR1022, P. aeruginosa CFR1023, P. aeruginosa CFR1024, Burkholderia cepacia CFR1025,
B. cepacia CFR1026,
P. stutzeri CFR1027, Vibrio alginolyticus CFR1028, Acinetobacter lwoffii CFR1029, Fusarium sp. CFR225
Minimal medium Hexachlorocyclohexane 1,24-Trichlorobenzene, 2,5-dichlorophenol, 2,5- dichlorohydroquinone Lin et al. (2020); Li et al. (2017)
Fungal consortium Soil managed for rice cultivation Chlorpyrifos
(Organophosphate insecticide)
2-Hydroxy-3,5,6-trichloropyridine Conde-Avila et al. (2021)
Equatic microbial communities Morpholinepropanesulfonic
acid synthetic medium
Glyphosate [N-(Phosphonomethyl)glycine] Aminomethylphosphonic acid,
acetylglyphosate, sarcosine
Artigas et al. (2020)
Streptomyces spp., strains AC5, AC9, GA11, ISP13 Minimal medium Diazinon, chlorpyrifos
(organophosphate insecticides)
3,5,6-Trichloro-2-pyridinol Briceno G et al., 2016
Arthrobacter sulfonivorans, Variovorax soli and Advenella sp. JRO Minimal medium Diuron (Pre-emergent herbicide) 3,4-Dichlorophenylamine Villaverde et al. (2017)
Burkholderia, Sphingopyxis, and Variovorax genera of bacteria Soil & Minimal medium 2,4- Dichlorophenoxyacetic acid (synthetic herbicide); 4-nitrophenol (fungicide) Ammonia, nitrite Wang et al. (2017)
Methylobacterium radiotolerans, Microbacterium arthrosphaerae Agricultural soil Imidacloprid (Insecticide) 5-Hydroxymetabolit, 6-chloronicotinic acid, 6- hydroxynicotinic acid Erguven and Yildirim (2019)
Coriolus versicolor NBRC9791, activated sludge mixed bacterial cultures Nutrient medium Aldicarb,
atrazine, alachlor
Aldicarb sulfone, Hydroxyatrazine, cyanuric acid, deisopropylatrazine, 2- Chloro 2,6- diethylacetanilide Dehghani et al. (2013); Bhatt et al. (2019); Hai et al. (2012)
Streptomyces sp., M7, MC1, A5 and Mycolatopsis tucumanensis DSM 45259 Soil & Minimal medium Lindane (used to treat scabies and lice infestations) 1,2,4-Trichlorobenzene, 2,5-dichlorophenol, 2,5- dichlorohydroquinone Aparicio et al. (2018); Zhang et al. (2020)
Pseudomonas, Klebsiella, Stenotrophomonas, Ochrobactrum, Bacillus M9 medium, soil slurry Chlorpyrifos (organophosphate insecticide) 3,5,6-Trichloropyridinol, diethylthiophosphate Singh P et al. (2016)
Ochrobactrum anthropi, Acinetobacter johnsonii, Pseudomonas sp. and Stenotrophomonas maltophilia Mineral salt medium Clothianidin
(neonicotinoid insecticide)
5-Amino-methlthiazol, N-(1,2-thiazole-5- ylmethyl)-N-methylguanidine, N-(2-chloro-1- 3 thiazole-5ylmethyl)-N-methylurea Wang X. et al. (2019)
Pseudoxanthomonas indica, Bacillus anthracis, Bacillus cereus Mineral medium, soil slurry Diuron (Pre-emergent herbicide) 3,4-Dichloroaniline Villaverde et al. (2018)

Książek-Trela et al. (2025) reported a high degradation rate of herbicide diflufenican (DFF) (approximately 70.1%) when a single strain, Streptomyces atratus (strain ROA017-D1), was inoculated in a liquid medium. However, in the same medium, supplementation of a synthetic bacterial consortium consisting of four strains—Pseudomonas sp. 10Kp8 (A1), Pseudomonas chlororaphis subsp. aureofaciens strain B19 (A2), Pseudomonas baetica strain JZY4-9 (C1), and Streptomyces atratus strain ROA017 (D1)—resulted in a higher degradation rate of DFF, reaching about 74.4%. Furthermore, the application of strain D1 alone in soil medium achieved approximately 79% degradation of DFF, whereas the consortium of four strains exhibited the highest degradation efficiency, reaching around 82.2%. The researchers explained that consortium-based biodegradation of DFF proceeded through three sequential steps: (a) Step I (Initiation Phase) was mediated by Pseudomonas sp. 10Kp8 (A1) and Pseudomonas chlororaphis subsp. aureofaciens B19 (A2). These metabolically versatile strains employed monooxygenases, dioxygenases, and amidases to initiate DFF transformation through aromatic ring hydroxylation and amide bond cleavage, generating less toxic, more polar intermediates that were accessible to downstream degraders; (b) In Step II (Defluorination and Intermediate Transformation), Pseudomonas baetica strain JZY4-9 (C1) further metabolized these intermediates. This strain facilitated reductive or co-metabolic defluorination and additional ring-cleavage reactions, converting fluorinated pyridine derivatives into simpler, low-molecular-weight organic acids and preventing the accumulation of persistent metabolites; (c) The final phase, Step III (Mineralization), was carried out by Streptomyces atratus strain ROA017 (D1). This actinomycete produced extracellular oxidative and hydrolytic enzymes, including laccases and peroxidases, which enabled complete breakdown of residual aromatic structures and mineralization into CO₂, H₂O, NH₄+, and simple organic acids (Książek-Trela et al., 2025). Overall, the enhanced degradation of DFF by this four-member consortium resulted from sequential and complementary metabolic interactions, wherein Pseudomonas strains initiated transformation, P. baetica detoxified fluorinated intermediates, and S. atratus completed mineralization. This cooperative mechanism underscores the ecological and biotechnological potential of microbial consortia for bioremediation of persistent fluorinated herbicides.

Communication within the consortium often occurs through biofilm formation, enabling efficient cell-to-cell signalling—an essential feature for the development of synthetic microbial consortia. This intercellular communication system is modular and engineerable, offering a foundation for the rational design of synthetic consortia. However, consortia are not always beneficial; in some cases, they may produce inhibitory compounds that are toxic to the member strains, impeding their growth and functionality. Therefore, careful design and selection of strains is critical for developing effective and stable microbial consortia for pesticide degradation.

5. Genetics and genetic engineering of microbes for enhanced pesticide degradation

Advancements in recent technologies for the degradation of pesticides have led to the clean-up of various habitats due to the sheer limitations in conventional procedures. Microbes play pivotal roles in growth and development of plants, animals and other microbes (Góngora-Echeverría et al., 2020; Bhatt et al., 2021; Ali et al., 2022; Gul et al., 2023; Tyagi et al., 2024). Hence, using and manipulating the genetic information of microbes plays a pivotal role in mitigating the eco-toxicity mediated by pesticides, which in turn leads to various diseases in humans. Recent approaches have focussed on the production of genetically engineered microorganisms (GEMs) to increase the production of genes and their products with an aim to degrade a specific type of pesticide (Rafeeq et al., 2023) (Figure 3). The alteration of microbial strains for the breakdown of the pollutants is believed to be an effective solution for the ineffective decomposition of pollutants by traditional approaches (Mishra et al., 2020; Peng et al., 2020).

Figure 3.

Diagram illustrating the degradation of pesticides using genetically engineered microorganisms in various habitats. It shows gene identification, plasmid insertion, and application in agricultural, mining, urban, and water treatment sites. Arrows indicate processes like erosion, volatilization, and uptake by organisms. The diagram highlights biological and chemical transformations, emphasizing the breakdown of organophosphates and organochlorines.

Microbial genetic engineering strategies for degradation of organochlorine pollutants: figure depicts dissemination of organochlorine pesticides (OCPs) and organochlorines (OC) as persistent pollutants toxic to biological systems. GEMs are developed to increase the production of genes and their products aiming to degrade a specific type of pesticide. This approach alters the microbial strains to breakdown the pollutants which is an effective solution to ineffective decomposition of pollutants by traditional approaches.

Pesticides such as organophosphates (OP) and organochlorines (OC) are persistent hazards that have significant negative impacts on human health and also destabilize the environmental homeostasis. For instance, the OPs act as potent neurotoxins by inhibiting the enzyme acetylcholine esterase (Singh and Verma, 2024). Additionally, the Hexachlorocyclohexane (HCH) is reported to accumulate and severely impair the functioning of kidneys, nervous system and liver (Yadav and Kumar, 2024). A wide range of research supports the existence of genes critical for catabolizing OPs from various habitats (Table 4). The bacterial enzymes are the major players in detoxifying pesticides effectively and at low costs. For example, ethyl parathion degrading enzyme (mpd) encoded by Plesiomonas sp. strain genome is able to hydrolyse a wide range of thion and oxon OPs (Khan et al., 2025; Mahmoud A. M. et al., 2025; Mahmoud G. A. E. et al., 2025). Methyl parathion hydrolase (MPH) enzyme targets the central phosphorus atom of organophosphates and break phosphoester bond in specific P-O or P-S aryl bond (Dong et al., 2005). Upon binding to OPs, such as ethyl parathion or methyl parathion, the phosphate group is removed by using a water molecule in active site through nucleophilic attack. This leads to hydrolytic cleavage of P–O bond (the aryl ester bond) leading to the formation of less toxic by products such as, 4-Nitrophenol (p-nitrophenol) and diethyl thiophosphate from ethyl parathion or dimethyl thiophosphate from methyl parathion (Mahmoud A. M. et al., 2025; Mahmoud G. A. E. et al., 2025). Additionally, the mpd produced by bacteria can use pesticides as their nutritive source. Researchers have engineered Sphingomonas sp. with gene encoding mpd (methyl parathion hydrolase) derived from Pseudomonas putida to degrade OP and carbamate pesticides in a wide range of habitats (Xu et al., 2020). Similarly, the gene pytH encoding a non-specific carboxylase esterase was cloned from Sphingobium sp. strain JZ-1 to degrade wide variety of pyrethroids (Xu et al., 2020). This enzyme with a molecular weight of 31kDA, belonging to alpha/beta-hydrolase (ABH) fold superfamily, consists of catalytic triad of Ser78, His230, and Asp202 in its active side (Xu et al., 2020). Further, the hydrophobic pocket in pytH enzyme which is large and deep consisting of 29 amino acid residues, allows this enzyme to accommodate complex and bulky pesticides such as bifenthrin and permethrins for degradation (Xu et al., 2020). The His230 residue in catalytic pocket of pytH deprotonates hydroxyl group of Ser78, which in turn performs nucleophilic attack on carbonyl carbon of the pyrethroid’s ester bond (Xu et al., 2020). The resulting tetrahedral transition state is further stabilized by “oxyanion hole,” consisting of nitrogen atoms as backbone. Later mechanism leads to the release of alcohol moity (3-phenoxybenzyl alcohol) from pesticide, whereas the acid moity remains covalently attached to the enzyme. Further, the deprotonated His230 becomes hydroxide ion, which in turn attacks the acyl-enzyme intermediate to create a second tetrahedral intermediate. Subsequently, the intermediate collapses and releases the acid moity to restore the native state of pytH enzyme (Xu et al., 2020). The pytH enzyme has wide range of effectiveness against various pyrethroids such as, deltamethrin, permethrin and cypermethrin. In addition, pytH does not show specificities to chiral isomers, evolving it as a robust tool for complete detoxification of pesticides (Zhan et al., 2020).

Table 4.

Genes and their products released by microorganisms to degrade the organophosphate pesticides and organochlorine pesticides (OCPs) in soil.

Microorganism Gene Encoding enzyme Target pesticide References
Organophosphate pesticides (OPs)
Plesiomonas sp. M6 mpd Methyl parathion hydrolase (MPH) Chlorpyrifos Cui et al. (2001)
Enterobacter sp. opdE Phosphotriesterase hydrolase Methyl parathion, Phorate, Parathion Shen et al. (2010)
Agrobacterium radiobacter P230 opd Phosphodiestrase Phosmet and Fenthion Horne et al. (2002)
Lactobacillus sakei WCP904 opdD Organophosphorus hydrolase Chlorpyrifos Gao et al. (2012)
Ochrobactrum sp. JAS2 mpd Methyl parathion hydrolase (MPH) Chlorpyrifos Cui et al. (2001)
Pseudomonas aeruginosa phd PhdA (prevent-host-death family protein) Parathion Mulbry and Karns (1989)
Cupriavidus sp. DT-1 mpd Methyl parathion hydrolase (MPH) Chlorpyrifos Lu et al. (2013)
Stenotrophomonas sp. SMSP-1 ophc2 Organophosphorus hydrolase Methyl parathion Horne et al. (2002)
Lactobacillus brevis WCP902 opdB Organophosphorus hydrolase (OpdB) Chlorpyrifos, Coumaphos, Diazinon, Methyl parathion, and Parathion Wang et al. (2018)
Ochrobactrum sp.,
Pseudomonas putida KT2440
tpd Triazophos hydrolase Triazophos, Methyl parathion Islam et al. (2010) and Zhong and Chen (2006), Cui et al. (2001)
Serratia marcescens MEW06 mph Methyl parathion hydrolase (MPH) Dimethoate, Paraoxon, Methyl parathion Chino-Flores et al. (2012)
Pseudomonas sp. strain ADP atzA Atrazine chlorohydrolase Atrazine Neumann et al. (2004)
Sphingobium quisquiliarum DC-2 cmeH Amidase Acetochlor Li et al. (2013)
Sphingobium sp. JZ-2 pytH Pyrethroid hydrolase Fenpropathrin Duan et al. (2011)
Rhodococcus sp. T1 feh Fenoxaprop-ethyl hydrolase Fenoxaprop-ethyl Hou et al. (2011)
Ochrobactrum sp.mp-4 tpd Triazophos hydrolase Triazophos concentration Gu et al. (2006)
Plesiomonas sp. strain M6 mpd Methyl parathion hydrolase Methyl parathion Zhongli et al. (2001)
Pseudomonas pseudomallei glpA/glpB Glycerol-3-phosphate dehydrogenase Glyphosate Peñaloza-Vazquez et al. (1995)
Organochlorine pesticides (OCPs)
Sphingobium japonicum UT26 linB Haloalkane dehalogenase, Haloalkanes and related compounds Nagata et al. (1997)
Pseudomonas sp. ADP atzA Atrazine chlorohydrolase (AtzA) Atrazine de Souza et al. (1996)
Pseudomonas sp. ADP atzB Hydroxyatrazine ethylaminohydrolase 2-chloro-4-amino-6- hydroxy-s-triazine Seffernick et al. (2002)
Arthrobacter aurescens TC1 trzN Amidohydrolase Atrazine Mulbry et al. (2002)
Sphingobium chlorophenolicum L-1 pcpC TCHQ-reductive dehalogenase TeCHQ, 2,3,6-TCHQ Orser et al. (1993)
Sphingobium japonicum UT26 linD Reductive dechlorinase 2,5-DCHQ, CHQ Miyauchi et al. (1998) and Nagata et al. (2016)
Sphingobium japonicum UT26 linA Dehydrochlorinase HCHs and its metabolites Nagata et al. (1993)
Nagata et al. (2016)
Sphingobium japonicum UT26 linF maleylacetate reductase 2-CMA Endo et al. (2005) and Nagata et al. (2016)
Sphingobium chlorophenolicum L-1 pcpB Pentachlorophenol 4-monooxygenase PCP Orser et al. (1993) and Nagata et al. (2016)
Sphingobium japonicum UT26 linE Hydrolase 2,6-DCHQ, CHQ Miyauchi et al. (1999) and Nagata et al. (2016)

Genes coding for carbofuran hydrolase (mcd) and carbaryl hydrolase (cehA) were also cloned from Achromobacter sp. strain WM111 and Rhizobium sp. strain AC100, respectively, for pesticide degradation (Zhu et al., 2018). Previously, researchers identified oxon and thion organophosphates (OPs) degrading enzymes encoded by Plesiomonas sp. strain. Also the OCs degrading gene linA coding enzyme γ-hexachlorocyclohexane dehydrochlorinase from Sphingomonas paucimobilis UT26 has been reported to catalyse the γ-hexachlorocyclohexane (γ-HCH) to 1,2,4-trichloro benzene (1,2,4-TCB) via γ-1,3,4,5,6-pentachlorocyclo hexene (γ-PCCH) (Deng et al., 2024). The construction of a recombinant E. coli strain overexpressing the enzyme methyl parathion hydrolase (MPH) was able to efficiently degrade methyl parathion (Xu et al., 2022). Yang et al. (2012) constructed the genetically engineered E. coli strain expressing both MPH and LinA aimed to degrade the OPs and OCs with ease and efficiency. The genetically modified E. coli constructed to express fusion protein of Enhanced Green Fluorescent Protein (EGFP) and an Organophosphate Hydrolase (OPH), exhibited strong hydrolase activity to degrade the organophosphorus pesticide in the environment (Lourthuraj et al., 2022). In conclusion, nature has endowed us with huge number of microbiomes that could be manipulated to eradicate the toxic metabolites from the environment. These GEMs can play pivotal role in decreasing the concentration of pesticides in food webs.

Organochlorine pesticides (OCPs) are also persistent pollutants that have drawn much attention due to their toxic and persistent biological effects (Liu et al., 2025; de Souza Pomacena et al., 2025; Wang et al., 2024). Among all the existing organochlorine pesticides, the aldrin, α-, β-, and γ-hexachlorocyclohexane (HCH), 1,1,1-trichloro-2,2-bis(4-chlorophenyl) ethane (DDT), chlordecone, chlordane, dieldrin, endrin, heptachlor, hexachlorobenzene (HCB), mirex, pentachlorobenzene, and toxaphene are the most dominantly affecting the living systems (Tzanetou and Karasali, 2022). These OCPs have been proven to be hormone disruptors in humans. Several studies have been carried out to devise strategies for degrading the OCPs in environment. Further, a large number of genes have been reported to degrade a wide range of OCPs (Table 4). For instance, the gene linA coding for dehydrochlorinase derived from Pseudomonas paucimobilis UT26 was cloned into Escherichia coli to mediate the degradation of γ-HCH to 1,3,5, or 1,2,4-trichlorobenzene via tetrachorohexadiene (TCDN) and γ-pentachlorocyclohexane (γ-PCCH) (Yusuf et al., 2023: Deng et al., 2024). LinA (member of NTF2-like superfamily) mediates its enzymatic activity through stereochemical arrangement of its substrates. This enzyme requires 1, 2-trans-diaxial arrangement coordinated between hydrogen and chlorine atoms on the cyclohexane ring (Trantírek et al., 2001). The active site of LinA consists of catalytic dyad formed by Asp25 and His73, whereas His73 acts as a catalytic base for the removal of protons from the pesticide substrate (Manna et al., 2015). During this E2 elimination mechanism, the chloride ion is removed from the opposite rings to form carbon–carbon double bond. The LinA catalyses the initial dehydrochlorination of γ-hexachlorocyclohexane (γ-HCH) to form γ-pentachlorocyclohexene (γ-PCCH). Consequently, three axial chlorine substituents in γ-HCH, two distinct 1,2-diaxial H–Cl pairs are available for elimination to aid catalysis. Further, the LinA exhibits stringent stereochemical control by selectively targeting one of these pairs, resulting in the formation of a single, well-defined enantiomer of γ-PCCH. In a subsequent reaction, LinA catalyses a second dehydrochlorination, and removes an additional HCl moiety from γ-PCCH to produce 1,3,4,6-tetrachloro-1,4-cyclohexadiene (1,4-TCDN). The outcome of this step is to increase the degree of unsaturation of the cyclohexane ring through incorporation of a second double bond. The resulting metabolite, 1,2,4-trichlorobenzene (1,2,4-TCB), is converted to less toxic chlorinated catechols (like 3,4,6-trichlorocatechol) by enzymes chlorobenzene dioxygenase/monooxygenase, which introduces hydroxyl groups to 1,2,4-TCB ring. Subsequently, the dihydrodiol dehydrogenase rearomatizes the dihydrodiol intermediate. The later product is further degraded by chlorocatechol-1,2-dioxygenase (TcbC) to catechol ring (Brahushi et al., 2017).

Previous studies revealed that genes LinA1 and LinA2 encoding two variants of hexachlorocyclohexane dehydrochlorinase are responsible for degradation of lindane (Heeb et al., 2021; Deng et al., 2024). In another study, Cupriavidus necator JMP134 was reported to degrade 2,4-D by stepwise conversion from 2,4-dichlorophenol (2,4-DCP) by 2,4-D dioxygenase encoded by TfdA gene, and 2,4-DCP was further degraded to β-ketoadipate by 2,4-DCP hydroxylase encoded by TfdB, chlorocatechol dioxygenase encoded by TfdC, chloromuconate cycloisomerase encoded by TfdD, dienelactone hydrolase encoded by TfdE, and chloromaleylacetate reductase encoded by TfdF gene. The end-product β-Ketoadipate was shuttled to tricarboxylic acid (TCA) cycle for further metabolism (Pettinato et al., 2022). The hydrolases encoded by atzABCDEF, located on 108-kb IncP-1 β plasmid pADP-1 of Pseudomonas sp. strain ADP was reported to degrade the atrazine in six steps (Medić and Karadžić, 2022). Different groups of researchers have engineered Pseudomonas putida KT2440 to mineralize pesticides such as 1,2-dichloroethane (DCA), 1,2,3-trichloropropane (TCP), γ-hexachlorocyclohexane (γ-HCH), p-nitrophenol (PNP) and methyl parathion (MP) (Gong et al., 2016; Zhao et al., 2021; Huo et al., 2022, 2023). Wang et al. (2024) produced a novel E. coli strain BL-3164 by reconstructing pET-3164 plasmid containing a complete set of genes responsible for degradation of 2, 4-D. Recently, Xiong et al. (2025) engineered Halomonas cupida for efficient mineralization of 2,4-D in highly saline waste waters. These studies clearly indicate the repository of genes from natural sources that could be exploited to regulate the levels of pesticides in natural habitats.

The heterologous expression of carboxylesterase B1 (CarE B1) gene, derived from mosquito Culex pipiens quinquefasciatus was employed to degrade pesticides such as, pyrethroids and organochlorines (Li Q. et al., 2020). The CarE B1 enzyme catalyses the hydrolysis of ester bonds found in pesticides. For instance, the cleavage of ester linkages in organophosphates and carbamates neutralizes their neurotoxic potential. Similarly, CarE B1 enzyme breaks pyrethroids and organochlorines into less toxic polar metabolites. The neurotoxic organophosphates such as, chlorpyrifos, parathion can be degraded by employing GEMs such as Escherichia coli and Pseudomonas putida overexpressing opd gene derived from Flavobacterium or Pseudomonas. The opd genes targeted to periplasm or cell surface of GEMs encodes organophosphorus hydrolase (OPH) which cleaves phosphotriester bond in pesticides for detoxification (Li Q. et al., 2020). GEMs, such as, Bacillus subtilis have been genetically modified to express gat gene encoding glyphosate N-acetyltransferase and gox encoding glyphosate oxidoreductase. The glyphosate N-acetyltransferase catalyses the transfer of acetyl groups to pesticides making them less toxic to plant and animal systems. Similarly, the gox gene product glyphosate oxidoreductase cleaves C-N bonds in pesticides to produce glyoxylate and aminomethylphosphonic acid (AMPA).

The pyrethriods and carbamamte pesticides are degraded by GEMs Bacillus megaterium and Pichia pastoris (yeast) overexpressing mpd derived from insects. The mpd enzyme hydrolyzes the ester linkage resulting in reduction of half life of pesticides such as, cypermethrin and fenpropathrin (Tutika and Himabindu, 2025). Overall, the construction of GEMs plays a pivotal role in clearing pesticides from the environment. The emerging techniques, such as antioxidant systems, use of microbial consortia and genome editing techniques such as CRIPSR/Cas systems, could be utilized to engineer the microbial genomes to mitigate the ecotoxicity induced by pesticides in a wide range of habitats (Barooah and Hazarika, 2022).

6. Benefits of microbial engineering for environment and economy

Pesticide contamination in soil is a significant environmental and agricultural challenge, leading to long-term ecological damage, reduced soil fertility, and risks to human and animal health (Zhou et al., 2025). Traditional methods for pesticide remediation, such as soil excavation, chemical treatments, or thermal desorption, are often expensive, inefficient, and environmentally disruptive (Liu M. et al., 2024). In contrast, microbial engineering offers a promising, sustainable, and cost-effective solution for cleaning pesticide residues in soil (Pant et al., 2021). Microbial engineering involves modifying microorganisms, often bacteria, actinomycetes, and fungi, through genetic or synthetic biological techniques to enhance their natural capacity to degrade toxic compounds. One of its primary advantages is the targeted degradation of persistent organic pollutants (POPs) such as organophosphates, carbamates, and chlorinated pesticides. Engineered microbes can break down these compounds into harmless substances, significantly reducing environmental toxicity (Kumar et al., 2025; Sadiq et al., 2025). Liu et al. (2016) developed a genetically modified strain of Pseudomonas putida capable of degrading chlorpyrifos, a widely used organophosphate pesticide. The engineered strain showed very good degradation efficiency, outperforming native microbial populations. Similarly, recently, Bacillus subtilis strains engineered to express organophosphorus hydrolase (OPH) have shown enhanced capability to detoxify various pesticides (Bahrulolum and Ahmadian, 2025). Li Q. et al. (2020) constructed a genetically engineered bacterium having the ability to degrade pesticides like organochloride, organophosphorus, carbamates, and pyrethoid insecticides. Another advantage of microbial engineering is its role in restoring soil health and biodiversity. Unlike harsh physical or chemical remediation techniques, bioengineered microbes can detoxify pollutants while maintaining or even improving soil structure and microbial diversity. This helps preserve beneficial soil functions, including nutrient cycling and plant-microbe interactions, which are essential for sustainable agriculture (Rebello et al., 2021; Karnwal et al., 2025). Engineered microbes can also be designed for enhanced survival and activity in harsh soil conditions, such as extreme pH or temperature, where natural strains may fail. Through synthetic biology, traits such as stress resistance, biofilm formation, or root colonization can be introduced to improve microbial persistence and effectiveness in contaminated fields (Sudheer et al., 2020; Misu et al., 2025). Additionally, microbial engineering enables precision biodegradation, where specific enzymes are optimized or overexpressed to target particular pesticide molecules. This selective degradation reduces the risk of non-specific microbial activity that might otherwise affect non-target compounds or disrupts soil ecosystems (Bittencourt et al., 2023; Qattan, 2025).

The economic viability of using engineered microbes is another key advantage. Compared to mechanical or chemical methods, microbial solutions are relatively low-cost, scalable, and require minimal labour or infrastructure. Once established, these microbes can continue to function over extended periods, providing long-term soil decontamination (Wend et al., 2024; Luan et al., 2025). In agriculture, engineered microbes are revolutionizing crop production. For instance, genetically modified rhizobacteria can enhance nitrogen fixation in non-leguminous crops like wheat and maize. This innovation reduces the dependency on synthetic nitrogen fertilizers, which are both costly and damaging to environment (Mayung, 2024). According to Kumar S. et al. (2022), deploying engineered Azospirillum strains in Indian wheat fields reduced fertilizer usage by up to 40%, saving farmers an estimated $75 per hectare. Similarly, engineered phosphate-solubilizing bacteria are improving nutrient availability, cutting back on the use of expensive phosphate fertilizers (Guo et al., 2023). Another economic advantage lies in pest and disease control. Engineered microbes such as Bacillus thuringiensis (Bt) and other biocontrol agents can be tailored for targeted pathogen suppression, reducing the need for chemical pesticides. This not only lowers input costs but also boosts crop quality and export potential. A study by Abbey et al. (2021) demonstrated that using a microbial bio-fungicide in blueberry farming resulted in a 20% yield increase and a significant reduction in fungicide expenditures.

Despite these benefits, regulatory hurdles, biosafety concerns, and public perception of GEMs remain a big challenge. However, new developments in bio-containment strategies, such as genetic kill-switches or dependency on synthetic nutrients, are helping to address these issues and improve environmental safety (Lea-Smith et al., 2025). Finally, it can be concluded that microbial engineering offers a highly effective and environment friendly approach for cleaning pesticide-contaminated soils. Its ability to degrade persistent pesticides, restore soil quality, and offer long-term, cost-effective remediation makes it a vital tool in the movement toward sustainable agriculture and environmental health.

7. Innovative technologies and patentable advances

Recent advances in microbial biotechnology and genetic engineering offer transformative opportunities for sustainable pesticide remediation in agricultural soils. Several innovations emerging from this field can be translated into patentable technologies and scalable applications.

7.1. Synthetic microbial consortia for broad-spectrum degradation

A novel innovation involves designing a synthetic microbial consortia wherein different microbes perform complementary degradation steps. Such consortia can be engineered for metabolic cross-feeding, enhancing pesticide breakdown efficiency under variable soil conditions. A microbial consortium consisting of Azospirillum, Cloacibacterium, and Ochrobacterium completely degraded 50 mg L−1 glyphosate within 36 h in both sterilized and non-sterilized water–sediment systems (Zhang et al., 2024b). In a comparable study, a four-strain Bacillus consortium B. amyloliquefaciens CP28, B. pumilus CP30, B. marisflavi CP31, and B. subtilis CP34, achieved 91% degradation of 100 ppm chlorpyrifos after 6 days of incubation at 30 °C and pH 7, demonstrating its effectiveness in remediating chlorpyrifos-contaminated environments (Varghese et al., 2021). Patent claims may include optimised microbial compositions, ratios, and formulations that exhibit superior stability, resilience, and degradation kinetics compared to single strains.

7.2. Enzyme-based bio-formulations and immobilised systems

Purified or immobilised pesticide-degrading enzymes can be incorporated into bio-formulations for targeted soil application. Immobilization on nanoparticles, biochar, or biodegradable polymers enhances enzyme stability and reusability. Among the various remediation approaches, enzymatic degradation is considered a principal strategy for pesticide removal because it minimizes the formation of undesirable by-products (Jaiswal et al., 2025). For instance, immobilization of laccase on iron magnetic nanoparticles significantly enhanced the enzymatic conversion of chlorpyrifos, with optimal activity observed at 55 °C and pH 7 (Srinivasan et al., 2020). Similarly, organophosphorus acid anhydrolase-FL immobilized within alginate beads was employed to assess the degradation of ethyl paraoxon in organophosphate-contaminated water. The immobilized enzyme system outperformed the free enzyme; exhibiting substantially higher stability and a deactivation constant approximately fourfold lower than that of the soluble enzyme (Jaiswal et al., 2025). Patentable innovations include slow-release enzyme carriers, enzyme–nanocomposites, and smart delivery systems activated by soil pH or moisture.

7.3. Smart bioremediation platforms using biosensors

The integration of microbial biosensors with bioremediation systems represents a novel technological advancement. Engineered microbes can be designed to detect pesticide residues and simultaneously activate degradation pathways. Biosensors employ biological components such as enzymes, nucleic acids, or whole cells for pollutant detection, with each biosensor type offering distinct advantages in terms of sensitivity, specificity, and response time. Amperometric enzyme-based biosensors have been successfully applied for the detection of polybrominated diphenyl ethers (PBDEs), achieving a limit of detection (LOD) as low as 0.014 μg L−1 in landfill leachate samples. In particular, glucose oxidase immobilized on gold nanoparticles enabled PBDE detection through enzyme inhibition, with an LOD of 0.14 μM. Whole-cell and microbial biosensors are widely used for heavy metal monitoring, exhibiting detection limits ranging from 0.1 to 1 μM (Sarti et al., 2025). Advances in synthetic biology have further enabled the development of engineered bacteria and fungi that function both as biosensing platforms and as agents for pollutant degradation (Zhu et al., 2023). Pseudomonas spp. have demonstrated effectiveness in detecting and degrading organic contaminants such as fluorene, phenanthrene, and benzene, achieving detection of 50 mg L−1 organic matter within 4 days and a degradation efficiency of 91.16% (Sankhyan et al., 2025). Additionally, enzyme-based biosensors are capable of detecting dyes at nanomolar concentrations and facilitate the oxidative degradation of phenolic compounds through catalytic activity (Nath, 2024). Patents may cover biosensor–bioremediator hybrid systems capable of real-time monitoring and self-regulated pesticide detoxification (Thanigaivel et al., 2025).

7.4. Rhizosphere targeted bioremediation tools

Innovations targeting the rhizosphere offer dual benefits of pesticide degradation and plant growth promotion. Three plant growth–promoting rhizobacterial (PGPR) strains, Pseudomonas chlororaphis (M4C4–5), Pantoea allii (M1C5–1), and Mammaliicoccus sciuri (M1C4–15), have been reported to tolerate chlorpyrifos and malathion concentrations of up to 2,000 mg L−1. These isolates demonstrated substantial pesticide degradation efficiency, achieving an 81.76% removal rate, while simultaneously promoting plant growth (Komicho and Tipayno, 2025). We have also reported that PGPRs (Bacillus sp. SWP1 and B. safensis SWP5) can enhance nutrient uptake (by phosphate solubilization), reduce pesticide stress, and restore soil health (Kumar et al., 2021b). According to Inthama et al. (2021), B. aryabhattai MoB09 showed the highest paraquat degradation at 30 °C (pH 7) and also promoted the growth of Vigna unguiculata. Engineered plant growth promoting rhizobacteria with pesticide-degrading traits can be patented for its use as biofertilizer–bioremediator hybrids.

7.5. Genetically engineered super-degrader microbes

One promising innovation is the development of genetically engineered microbial strains with enhanced pesticide-degrading capabilities. By overexpressing key degradative enzymes such as hydrolases, oxygenases, laccases, and dehalogenases, microbes can be tailored to rapidly mineralise persistent pesticides. CRISPR-Cas–based genome editing can be employed to insert multi-enzyme degradation pathways into a single microbial host. Diverse approaches can be employed to integrate multiple degradation abilities into one engineered bacterium, such as protoplast fusion, horizontal gene transfer, and homologous recombination. The genomes of Psathyrella candolleana and Pseudomonas putida were recombined using the protoplast fusion technique to construct a super-degraded strain with the ability to degrade 78.98% of PCP in polluted water (Chen et al., 2013). Many researchers have constructed E. coli using a surface display system to display different functional enzymes to degrade various pesticides like paraoxon (Latifi et al., 2015), carbaryl (Liu et al., 2022), and λ-cyhalothrin (Ding et al., 2022). Patents could focus on engineered microbial strains capable of degrading multiple pesticide classes (organophosphates, carbamates, neonicotinoids) simultaneously.

7.6. Omics-guided microbial engineering platforms

The use of metagenomics, proteomics, and metabolomics to identify novel pesticide-degrading genes and pathways is another patentable frontier. Recent advances in multi-omics technologies have profoundly enhanced our understanding of microbial pesticide biodegradation. Genomic analyses have uncovered operons and previously uncharacterized catabolic genes associated with pesticide degradation pathways (Rodríguez et al., 2020), whereas transcriptomic studies elucidated the regulatory networks activated in response to pesticide-induced stress (Islam et al., 2024). Metabolomics enables the identification of degradation intermediates and end products, offering valuable insights into complete mineralization processes (Wang et al., 2025). Proteomic analyses further complement these approaches by revealing the active enzyme machinery involved during biodegradation. Collectively, integrated omics strategies provide an unprecedented framework for linking microbial gene function with ecological performance. Databases and AI-driven platforms that predict microbial degradation potential and guide strain engineering could form the basis of proprietary technologies (Dhakal et al., 2025).

These innovations highlight how microbial engineering, synthetic biology, and smart delivery systems can revolutionize pesticide bioremediation. Several such patents have been filed and granted in the last 5 years (Table 5). Patenting of such technologies will accelerate their adoption, promote sustainable agriculture, reduce environmental contamination, and deliver long-term economic and ecological benefits (Table 6).

Table 5.

Important patents filed in the area of microbial pesticide degradation in the last 5 years.

Patent no. Description Countries Patent type References
US12091653B2 Strain of Glutamicibacter, originating from insects, capable of efficiently degrading bifenthrin USA Granted Utility Patent Long et al. (2024)
WO2023044345A1 Microbial electrochemical system combining engineered microbes to degrade organophosphate pesticides (e.g., parathion/paraoxon) with biosensing. PCT (Int)
(Patent Cooperation Treaty -international)
International Application Erina et al. (2023)
CN116396911B Bacterial strain + microbial inoculum specifically for treating pesticide wastewater with associated application methods/devices. China Granted Patent Tianming et al. (2023)
CN117244935A Method of degrading residual pesticides in soil using targeted microbial agents with controlled irrigation and soil humidity. China Patent Application Wengang and Haishen (2023)
WO2024238848A2 Systems & compositions for managing pesticide resistance, including minicell-based biological agents that reduce pesticide resistance and which encompass degradation pathways. PCT (Intl) International Application Shakeel et al. (2024)
US20200123076A1 Agricultural microbial inoculant compositions and uses thereof PCT (Intl) International Application Bobeck and Pearce (2023)
US11214597B2 Stable dry powder composition comprising biologically active microorganisms and/or bioactive materials and methods of making PCT (Intl) International Application Harel et al. (2022)
404587 Novel microbial formulation for Endosulfan bioremediation using Burkholderia sp. (MTCC 25118) to degrade alpha/beta endosulfan in soil into non-toxic metabolites. India Granted Patent Prakash and Basu (2022)
407022 Bio-pesticide compositions and formulation from (Citrullus colocynthis) for insect control.
(Product name: Thar Jaivik 41 EC).
This bio-pesticide is effective against Helicoverpa armigera, Spodoptera litura, white fly and aphid with safe to natural enemies.
India Patent Application Haldhar et al. (2022)

Table 6.

Recommendations for future research/patent, and their application in microbial pesticide bioremediation.

  • S. no.
  • Recommendation
  • Description
  • Novelty
  • Application
  • 1

  • Genetically engineered microbial strains for multiple pesticide degradation

  • Engineered microbes expressing multiple degradative enzymes for the rapid breakdown of diverse pesticide groups

  • Single microbe degrades multiple pesticide classes

  • Agricultural soil remediation

  • 2

  • Synthetic microbial consortia for enhanced in-situ pesticide bioremediation

  • Designed microbial consortia with synergistic metabolic pathways

  • Metabolic cross-feeding and stability under field conditions

  • In-situ soil bioremediation

  • 3

  • CRISPR-based genome editing for enhancing pesticide degradation

  • CRISPR toolkit for targeted insertion of pesticide-degrading gene clusters

  • Precision genome engineering

  • Microbial biotechnology

  • 4

  • Immobilised enzyme nanocomposite for soil pesticide detoxification

  • Pesticide-degrading enzymes immobilised on biochar or nanoparticles

  • Increased enzyme stability and reusability

  • Soil detoxification

  • 5

  • Smart biosensor-integrated microbial bioremediation system

  • Engineered microbes detect pesticide residues and activate degradation pathways

  • Real-time sensing and response

  • Precision agriculture

  • 6

  • Rhizosphere-targeted plant growth-promoting bioremediator microbes

  • PGPR engineered to degrade pesticides and promote plant growth

  • Dual remediation and growth promotion

  • Sustainable agriculture

  • 7

  • Omics-driven discovery for pesticide-degrading microbial genes

  • AI-assisted metagenomic screening of soil microbes

  • Rapid identification of novel degradative genes

  • Biotechnological research and development

  • 8

  • Slow-release bioformulation for microbial pesticide degradation

  • Encapsulated microbes with controlled nutrient release

  • Extended microbial survival and activity

  • Field-scale remediation

  • 9

  • Bioaugmentation kit for pesticide-contaminated agricultural soils

  • Integrated kit containing microbes, enzymes, and soil conditioners

  • Complete soil restoration solution

  • Commercial agriculture

  • 10

  • Engineered microbial electron donor pathway for persistent pesticide mineralization

  • Modified electron transport systems to enhance pesticide metabolism

  • Improved mineralisation efficiency

  • Environmental biotechnology

  • 11

  • Consortium-based degradation of organophosphate and neonicotinoid pesticides

  • Specialised microbial consortium targeting high-toxicity pesticides

  • Targeted pesticide specificity

  • Regulatory-compliant remediation

  • 12

  • Soil-responsive gene expression system for pesticide degradation

  • Microbial genes activated by soil pH, moisture, or pesticide concentration

  • Environment-triggered degradation

  • Smart bioremediation

8. Conclusions and future prospects

Microorganisms cause breakdown of the pesticide residues in soil, are inexpensive, environment friendly and do not cause secondary pollution. But their slow rate of pesticide degradation may affect the practicability and efficiency. Research on microbe-assisted degradation of pesticides has been largely conducted. Many pesticide-degrading microbial strains have been identified; however, the practical application of microbial bioremediation is restricted. The key challenges involving microbial degradation of pesticides include the development of highly efficient pesticide-degrading GEMs, cultivation of microbial consortia and the quantitative research on pesticide biodegradation models. Recently, with the development of genetic engineering and molecular biology, on one hand, scientists have started shifting to the construction of efficient engineered bacteria through gene recombination techniques; on the other hand, they have altered the enzyme-producing gene to construct vectors that could express the attributes of degrading pesticides. The future prospects of bioremediation of pesticides are highly promising with the integration of advanced technologies such as synthetic biology, genetic engineering, and artificial intelligence. These innovations are enabling the development of genetically modified microorganisms and plants with enhanced capabilities to degrade persistent pesticide residues more efficiently and selectively. Enzyme engineering and nanotechnology are further improving the stability and delivery of biocatalysts in contaminated environments. Additionally, AI-driven monitoring systems and biosensors are being employed to track bioremediation progress in real-time, optimizing treatment strategies. These advancements not only enhance the efficiency and scalability of bioremediation processes but also support sustainable agricultural practices and environmental restoration.

Acknowledgments

We thank the Head, Department of Botany, University of Allahabad, Prayagraj-211002, Uttar Pradesh, India and Department of Botany and Microbiology, H. N. B. Garhwal University (A Central University), Srinagar Garhwal-246174, Uttarakhand, India, for providing facilities.

Funding Statement

The author(s) declared that financial support was not received for this work and/or its publication.

Footnotes

Edited by: Bijay Kumar Behera, Central Inland Fisheries Research Institute (ICAR), India

Reviewed by: Manivannan Paramasivan, Bharathidasan University, India

Walter Jose Martinez Burgos, National Institute of Amazonian Research (INPA), Brazil

Author contributions

SuS: Writing – original draft. RM: Writing – original draft. SH: Writing – original draft. SM: Writing – original draft. ShS: Writing – original draft. PK: Writing – review & editing. HK: Supervision, Writing – review & editing, Conceptualization.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

The author(s) declared that they were an editorial board member of Frontiers, at the time of submission. This had no impact on the peer review process and the final decision.

Generative AI statement

The author(s) declared that Generative AI was not used in the creation of this manuscript.

Any alternative text (alt text) provided alongside figures in this article has been generated by Frontiers with the support of artificial intelligence and reasonable efforts have been made to ensure accuracy, including review by the authors wherever possible. If you identify any issues, please contact us.

Publisher’s note

All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.

References

  1. Abbey J. A., Percival D., Jaakola L., Asiedu S. K. (2021). Potential use of biofungicides and conventional fungicide for the management of Botrytis blossom blight in lowbush blueberries. Can. J. Plant Pathol. 43, 704–713. doi: 10.1080/07060661.2021.1880485 [DOI] [Google Scholar]
  2. Aguilar-Paredes A., Valdés G., Araneda N., Valdebenito E., Hansen F., Nuti M. (2023). Microbial community in the composting process and its positive impact on the soil biota in sustainable agriculture. Agron 13:542. doi: 10.3390/agronomy13020542 [DOI] [Google Scholar]
  3. Ahmad S., Ahmad H. W., Bhatt P. (2022). Microbial adaptation and impact into the pesticide’s degradation. Arch. Microbiol. 204:288. doi: 10.1007/s00203-022-02899-6, [DOI] [PubMed] [Google Scholar]
  4. Akmukhanova N. R., Seiilbek S. N., Zayadan B. K., Bolatkhan K., Bakytzhan R. A., Domash G. S., et al. (2025). Harnessing microalgae and cyanobacteria for sustainable pesticide biodegradation: advances, challenges, and ecological benefits. Microorganisms 13:2404. doi: 10.3390/microorganisms13102404, [DOI] [PMC free article] [PubMed] [Google Scholar]
  5. Aldas-Vargas A., van der Vooren T., Rijnaarts H. H. M., Sutton N. B. (2021). Biostimulation experiments are a valuable tool to assess pesticide biodegradation capacity of field microorganisms. Sci. Total Environ. 754:142372. doi: 10.1016/j.chemosphere.2021.130793 [DOI] [PubMed] [Google Scholar]
  6. Alengebawy A., Abdelkhalek S. T., Qureshi S. R., Wang M.-Q. (2021). Heavy metals and pesticides toxicity in agricultural soil and plants: ecological risks and human health implications. Toxics 9:42. doi: 10.3390/toxics9030042, [DOI] [PMC free article] [PubMed] [Google Scholar]
  7. Ali S., Tyagi A., Park S., Mir R. A., Mushtaq M., Bhat B., et al. (2022). Deciphering the plant microbiome to improve drought tolerance: mechanisms and perspectives. Environ. Exp. Bot. 201:104933. doi: 10.1016/j.envexpbot.2022.104933 [DOI] [Google Scholar]
  8. Alidoosti F., Giyahchi M., Moien S., Moghimi H. (2024). Unlocking the potential of soil microbial communities for bioremediation of emerging organic contaminants: omics-based approaches. Microb. Cell Factories 23:210. doi: 10.1186/s12934-024-02485-z, [DOI] [PMC free article] [PubMed] [Google Scholar]
  9. Aljabri M. (2025). Recent advances in pesticide bioremediation: integrating microbial, phytoremediation, and biotechnological strategies - a comprehensive review. Environ. Pollut. Bioavailability 37:22. doi: 10.1080/26395940.2025.2554173 [DOI] [Google Scholar]
  10. Alori E. T., Gabasawa A. I., Elenwo C. E., Agbeyegbe O. O. (2022). Bioremediation techniques as affected by limiting factors in soil environment. Front. Soil Sci. 2:937186. doi: 10.3389/fsoil.2022.937186 [DOI] [Google Scholar]
  11. Aparici-Carratalá D., Esclapez J., Bautista V., Bonete M.-J., Camacho M. (2023). Archaea: current and potential biotechnological applications. Res. Microbiol. 174:104080. doi: 10.1016/j.resmic.2023.104080, [DOI] [PubMed] [Google Scholar]
  12. Aparicio J. D., Saez J. M., Raimondo E. E., Benimeli C. S., Polti M. A. (2018). Comparative study of single and mixed cultures of actinobacteria for the bioremediation of co-contaminated matrices. J. Environ. Chem. Eng. 6, 2310–2318. doi: 10.1016/j.jece.2018.03.030 [DOI] [Google Scholar]
  13. Artigas J., Batisson I., Carles L. (2020). Dissolved organic matter does not promote glyphosate degradation in auto-heterotrophic aquatic microbial communities. Environ. Pollut. 259:113951. doi: 10.1016/j.envpol.2020.113951, [DOI] [PubMed] [Google Scholar]
  14. Aryal S., Aryal L. N. (2023). “Pesticide Residue and Food Safety: Retrospection and Prospects” in Emerging Solutions in Sustainable Food and Nutrition Security. eds. Ghosh S., Kumari Panda A., Jung C., Singh Bisht S. (Cham, Switzerland: Springer; ), 183–210. [Google Scholar]
  15. Ataikiru T. L. A., Ajuzieogu C. A. (2023). Enhanced bioremediation of pesticides contaminated soil using organic (compost) and inorganic (NPK) fertilizers. Heliyon. 9:e23133. doi: 10.1016/j.heliyon.2023.e23133 [DOI] [PMC free article] [PubMed] [Google Scholar]
  16. Aziz H., Murtaza G., Saleem M. H., Ali S., Rizwan M., Riaz U., et al. (2021). Alleviation of Chlorpyrifos Toxicity in Maize (Zea mays L.) by Reducing Its Uptake and Oxidative Stress in Response to Soil-Applied Compost and Biochar Amendments. Plants 10:2170. doi: 10.3390/plants10102170 [DOI] [PMC free article] [PubMed] [Google Scholar]
  17. Bahrulolum H., Ahmadian G. (2025). Bacillus subtilis surface display technology: Applications in bioprocessing and sustainable manufacturing. Biotechnol. Biofuels Bioprod. 18:34. doi: 10.1186/s13068-025-02635-4, [DOI] [PMC free article] [PubMed] [Google Scholar]
  18. Bala S., Garg D., Thirumalesh B. V., Sharma M., Sridhar K., Inbaraj B. S., et al. (2022). Recent Strategies for Bioremediation of Emerging Pollutants: A Review for a Green and Sustainable Environment. Toxics. 10:484. doi: 10.3390/toxics10080484 [DOI] [PMC free article] [PubMed] [Google Scholar]
  19. Barooah M., Hazarika D. J. (2022). “Genome Editing Tools: Increasing Efficiency of Microbes for Remediating Contaminated Environment” in Omics for environmental engineering and microbiology systems. eds. Kumar V., Garg V. K., Kumar S., Biswas J. K. (London: CRC Press; ), 159–180. [Google Scholar]
  20. Bashir F., Siddiqi T. O., Iqbal M. (2007). The antioxidative response system in Glycine max (L.) Merr. exposed to Deltamethrin, a synthetic pyrethroid insecticide. Environ. Pollut. 147, 94–100.doi: 10.1016/j.envpol.2006.08.013, [DOI] [PubMed] [Google Scholar]
  21. Bhatia S. K., Bhatia R. K., Choi Y. K., Kan E., Kim Y. G., Yang Y. H. (2018). Biotechnological potential of microbial consortia and future perspectives. Crit. Rev. Biotechnol. 38, 1209–1229. doi: 10.1080/07388551.2018.1471445, [DOI] [PubMed] [Google Scholar]
  22. Bhatt P., Bhatt K., Sharma A., Zhang W., Mishra S., Chen S. (2021). Biotechnological basis of microbial consortia for the removal of pesticides from the environment. Crit. Rev. Biotechnol. 41, 317–338. doi: 10.1080/07388551.2020.1853032, [DOI] [PubMed] [Google Scholar]
  23. Bhatt P., Pal K., Bhandari G., Barh A. (2019). Modelling of the methyl halide biodegradation in bacteria and its effect on environmental systems. Pestic. Biochem. Physiol. 158, 88–100. doi: 10.1016/j.pestbp.2019.04.015, [DOI] [PubMed] [Google Scholar]
  24. Bidlan R., Manonmani H. K. (2002). Aerobic degradation of dichlorodiphenyltrichloroethane (DDT) by Serratia marcescens DT-1P. Process Biochem. 38, 49–56. doi: 10.1016/S0032-9592(02)00066-3 [DOI] [Google Scholar]
  25. Biswas A., Mailapalli D. R., Raghuwanshi N. S. (2021). Treated municipal wastewater to fulfil crop water footprints and irrigation demand – A review. Water Supply 21:1398 1409. [Google Scholar]
  26. Bittencourt A. G., de Souza Vandenberghe L. P., Martínez-Burgos W. J., Valladares-Diestra K. K., Murawski de Mello A. F., Maske B. L., et al. (2023). Emerging contaminants bioremediation by enzyme and nanozyme-based processes – A review. iScience 26:106785. doi: 10.1016/j.isci.2023.106785 [DOI] [PMC free article] [PubMed] [Google Scholar]
  27. Bobeck D. R., Pearce C. J. (2023). Agricultural microbial inoculant compositions and uses thereof (US20200123076A1). Available online at: https://patents.google.com/patent/US20200123076A1/en
  28. Bojacá C. R., Arias L. A., Ahumada D. A., Casilimas H. A., Schrevens E. (2013). Evaluation of pesticide residues in open field and greenhouse tomatoes from Colombia. Food Control 30, 400–403. doi: 10.1016/j.foodcont.2012.08.015 [DOI] [Google Scholar]
  29. Bokade P., Purohit H. J., Bajaj A. (2021). Myco-remediation of chlorinated pesticides: insights into fungal metabolic system. Indian J. Microbiol. 61, 237–249. doi: 10.1007/s12088-021-00940-8, [DOI] [PMC free article] [PubMed] [Google Scholar]
  30. Bosu S., Rajamohan N., Al Salti S., Rajasimman M., Das P. (2024). Biodegradation of chlorpyrifos pollution from contaminated environment - a review on operating variables and mechanism. Environ. Res. 248:118212. doi: 10.1016/j.envres.2024.118212 [DOI] [PubMed] [Google Scholar]
  31. Boutahiri S., Benrkia R., Tembeni B., Idowu O. E., Olatunji O. J. (2024). Effect of biostimulants on the chemical profile of food crops under abiotic stress conditions. Food Chemistry: X 17:100494. doi: 10.1016/j.cpb.2024.100410 [DOI] [Google Scholar]
  32. Brahushi F., Kengara F. O., Jiang X., Munch J. C., Wang F. (2017). Fate processes of chlorobenzenes in soil and potential remediation strategies: a review. Pedosphere, 27, 407–420. [Google Scholar]
  33. Briceno G., Schalchli H., Mutis A., Benimeli C. S., Palma G., Tortella G. R., et al. (2016). Use of pure and mixed culture of diazinon-degrading Streptomyces to remove other organophosphorus pesticides. Int. Biodeterior. Biodegrad. 114, 193–201. doi: 10.1016/j.ibiod.2016.06.018 [DOI] [Google Scholar]
  34. Carles L., Martin-Laurent F., Devers M., Spor A., Rouard N., Beguet J., et al. (2021). Potential of preventive bioremediation to reduce environmental contamination by pesticides in an agricultural context: a case study with the herbicide 2,4-D. J. Hazard. Mater. 416:125740. doi: 10.1016/j.jhazmat.2021.125740, [DOI] [PubMed] [Google Scholar]
  35. Carreiró F., Barros S. C., Brites C., Mateus A. R., Ramos F., Torres D., et al. (2024). Validation of an HPLC-MS/MS method for the quantification of pesticide residues in Rice and assessment of the washing effect. Food Chemistry: X 24:101938. doi: 10.1016/j.fochx.2024.101938, [DOI] [PMC free article] [PubMed] [Google Scholar]
  36. Carucci F., Gatta G., Gagliardi A., Vita P. D., Giuliani M. M. (2020). Strobilurin effects on nitrogen use efficiency for the yield and protein in durum wheat grown under rainfed mediterranean conditions. Agronomy 10:1508. doi: 10.3390/agronomy10101508 [DOI] [Google Scholar]
  37. Chapalamadugu S, Chaudhry GR (1991). Hydrolysis of carbaryl by a Pseudomonas sp. and construction of a microbial consortium that completely metabolizes carbaryl. Appl. Environ. Microbiol. 57, 744–750. doi: 10.1128/aem.57.3.744-750.1991 [DOI] [PMC free article] [PubMed] [Google Scholar]
  38. Chen H, Shen S, Zhi H, Li W (2023). Pesticides residues on Goji berry: a characteristic minor crop in China. J. Food Compos. Anal. 120:105342. doi: 10.1016/j.jfca.2023.105342 [DOI] [Google Scholar]
  39. Chen H., Qin Y., Pu J., Hu J., Wen Y. (2021). Phytotoxicity of the chiral herbicide dichlorprop: cross-talk between nitric oxide, reactive oxygen species and phytohormones. Sci. Total Environ. 788:147866. doi: 10.1016/j.scitotenv.2021.147866, [DOI] [PubMed] [Google Scholar]
  40. Chen H. L., Zhan H. Y., Chen Y. C., Fu S. Y. (2013). Construction of engineering microorganism degrading chlorophenol efficiently by protoplast fusion technique. Environ. Prog. Sustain. Energy 32, 443–448. doi: 10.1002/ep.11626 [DOI] [Google Scholar]
  41. Chino-Flores C., Dantán-González E., Vázquez-Ramos A., TinocoValencia R., Díaz-Méndez R., Sánchez-Salinas E., et al. (2012). Isolation of the opdE gene that encodes for a new hydrolase of Enterobacter sp. capable of degrading organophosphorus pesticides. Biodegradation 23, 387–397. doi: 10.1007/s10532-011-9517-6 [DOI] [PubMed] [Google Scholar]
  42. Conde-Avila V., Peña C., Pérez-Armendáriz B., Loera O., Martínez Valenzuela C., Leyva Morales J. B., et al. (2021). Growth, respiratory activity and chlorpyrifos biodegradation in cultures of Azotobacter vinelandii ATCC 12837. AMB Express 11:177. doi: 10.1186/s13568-021-01339-w [DOI] [PMC free article] [PubMed] [Google Scholar]
  43. Cui Z. L., Li S. P., Fu G. P. (2001). Isolation of methyl parathion degrading strain M6 and cloning of the methyl parathion hydrolase gene. Appl. Environ. Microbiol. 67, 4922–4925. doi: 10.1128/AEM.67.10.4922-4925.2001 [DOI] [PMC free article] [PubMed] [Google Scholar]
  44. Cui J., Zhang R., Wu G. L., Zhu H. M., Yang H. (2010). Salicylic acid reduces napropamide toxicity by preventing its accumulation in rapeseed (Brassica napus L.). Arch. Environ. Contam. Toxicol. 59, 100–108. doi: 10.1007/s00244-009-9426-4, [DOI] [PubMed] [Google Scholar]
  45. Cycoń M., Mrozik A., Piotrowska-Seget Z. (2017). Bioaugmentation as a strategy for the remediation of pesticide-polluted soil: A review. Chemosphere 172, 52–71. doi: 10.1016/j.chemosphere.2016.12.129, [DOI] [PubMed] [Google Scholar]
  46. da Sales Silva I. G., de Gomes Almeida F. C., da Padilha Rocha e Silva N. M., Casazza A. A., Converti A., Asfora Sarubbo L. (2020). Soil bioremediation: overview of technologies and trends. Energies 13:4664. doi: 10.3390/en13184664 [DOI] [Google Scholar]
  47. Dar M. A., Baba Z. A., Kaushik G. (2022). A review on phorate persistence, toxicity and remediation by bacterial communities. Pedosphere 32, 171–183. doi: 10.1016/s1002-0160(21)60043-7 [DOI] [Google Scholar]
  48. Das T. K., Behera B., Nath C. P., Ghosh S., Sen S., Raj R., et al. (2024). Herbicides use in crop production: an analysis of cost-benefit, non-target toxicities and environmental risks. Crop Prot. 181:106691. doi: 10.1016/j.cropro.2024.106691 [DOI] [Google Scholar]
  49. Daunoras J., Kačergius A., Gudiukaitė R. (2024). Role of soil microbiota enzymes in soil health and activity changes depending on climate change and the type of soil ecosystem. Biology 13:85. doi: 10.3390/biology13020085 [DOI] [PMC free article] [PubMed] [Google Scholar]
  50. de Souza Pomacena M., Lisboa P. C., de Moura E. G., Miranda R. A. (2025). Impact of pesticides on reproductive health: insights from animal and in vitro models in both sexes. J. Endocrinol. 266:2. doi: 10.1530/JOE-24-0379 [DOI] [PubMed] [Google Scholar]
  51. de Souza M. L., Sadowsky M. J., Wackett L. P. (1996). Atrazine chlorohydrolase from Pseudomonas sp. strain ADP: gene sequence, enzyme purification, and protein characterization. J. Bacteriol. 178, 4894–4900. doi: 10.1128/jb.178.16.4894-4900.1996, [DOI] [PMC free article] [PubMed] [Google Scholar]
  52. Dehghani M., Nasseri S., Zamanian Z. (2013). Biodegradation of alachlor in liquid and soil cultures under variable carbon and nitrogen sources by bacterial consortium isolated from corn field soil. Iran. J. Environ. Health. Sci. Eng. 10:21. doi: 10.1186/1735-2746-10-21, [DOI] [PMC free article] [PubMed] [Google Scholar]
  53. Deng X. (2022). Current advances in the action mechanisms of safeners. Agronomy 12:2824. doi: 10.3390/agronomy12112824 [DOI] [Google Scholar]
  54. Deng W., Takada Y., Nanasato Y., Kishida K., Stari L., Ohtsubo Y., et al. (2024). Transgenic Arabidopsis thaliana plants expressing bacterial γ-hexachlorocyclohexane dehydrochlorinase LinA. BMC Biotechnol. 24:42. doi: 10.1186/s12896-024-00867-0, [DOI] [PMC free article] [PubMed] [Google Scholar]
  55. Dhakal G., Thapa Magar S., Fujino T. (2025). Pesticide degradation by soil bacteria: mechanisms, bioremediation strategies, and implications for sustainable agriculture. Environments 12:492. doi: 10.3390/environments12120492 [DOI] [Google Scholar]
  56. Dhankhar N., Kumar J. (2023). Impact of increasing pesticides and fertilizers on human health: a review. Mater Today Proc. (In Press). [Google Scholar]
  57. Dimaano N. G., Iwakami S. (2021). Cytochrome P450-mediated herbicide metabolism in plants: current understanding and prospects. Pest Manag. Sci. 77, 22–32. doi: 10.1002/ps.6040, [DOI] [PubMed] [Google Scholar]
  58. Dinakarkumar Y., Ramakrishnan G., Gujjula K. R., Vasu V., Balamurugan P., Murali G. (2024). Fungal bioremediation: an overview of the mechanisms, applications and future perspectives. Environ. Chem. Ecotoxicol. 6, 293–302. doi: 10.1016/j.enceco.2024.07.002 [DOI] [Google Scholar]
  59. Ding J., Liu Y., Gao Y., Zhang C., Wang Y., Xu B., et al. (2022). Biodegradation of lambda-cyhalothrin through cell surface display of bacterial carboxylesterase. Chemosphere 289:133130. doi: 10.1016/j.chemosphere.2021.133130 [DOI] [PubMed] [Google Scholar]
  60. Dong Y. J., Bartlam M., Sun L., Zhou Y. F., Zhang Z. P., Zhang C. G., et al. (2005). Crystal structure of methyl parathion hydrolase from Pseudomonas sp. WBC-3. J. Mol. Biol. 353, 655–663. doi: 10.1016/j.jmb.2005.08.057 [DOI] [PubMed] [Google Scholar]
  61. Donley N. (2019). The USA lags behind other agricultural nations in banning harmful pesticides. Environ. Health 18:44. doi: 10.1186/s12940-019-0488-0, [DOI] [PMC free article] [PubMed] [Google Scholar]
  62. Dreistadt S. H. (2016). Pests of Landscape Trees and Shrubs: an Integrated Pest Management Guide. New York, NY: UCANR Publications. [Google Scholar]
  63. Duan X. Q., Zheng J. W., Zhang J., Hang B. J., He J., Li S. P. (2011). Characteristics of a 3-phenoxybenzoic acid degrading-bacterium and the construction of a engineering bacterium. Huan Jing Ke Xue 32, 240–246, [PubMed] [Google Scholar]
  64. EFSA. Carrasco Cabrera L., Di Piazza G., Dujardin B., Marchese E., Medina Pastor P. (2024). The 2022 European Union report on pesticide residues in food. EFSA J. 22:e8753. [DOI] [PMC free article] [PubMed] [Google Scholar]
  65. EFSA. Carrasco Cabrera L., Di Piazza G., Dujardin B., Medina Pastor P. (2023). The 2021 European Union report on pesticide residues in food. EFSA J. 21:e07939. [DOI] [PMC free article] [PubMed] [Google Scholar]
  66. Egbuna C., Sawicka B. (2020). Natural Remedies for Pest, Disease and Weed Control. Amsterdam: Academic Press. [Google Scholar]
  67. Egelkamp R., Zimmermann T., Schneider D., Hertel R., Daniel R. (2019). Impact of nitriles on bacterial communities. Front. Environ. Sci. 7:103. doi: 10.3389/fenvs.2019.00103 [DOI] [Google Scholar]
  68. Endo R., Kamakura M., Miyauchi K., Fukuda M., Ohtsubo Y., Tsuda M., et al. (2005). Identification and characterization of genes involved in the downstream degradation pathway of γ-hexachlorocyclohexane in Sphingomonas paucimobilis UT26. J. Bacteriol. 187, 847–853. doi: 10.1128/JB.187.3.847-853.2005, [DOI] [PMC free article] [PubMed] [Google Scholar]
  69. Erguven G. O., Yildirim N. (2019). The evaluation of imidacloprid remediation in soil media by two bacterial strains. Curr. Microbiol. 76, 1461–1466. doi: 10.1007/s00284-019-01774-w, [DOI] [PubMed] [Google Scholar]
  70. Erina R, Ariel F, Rachel A, Amruta K. (2023). Microbial Electrochemical Technology to Detect and Degrade Organophosphate Pesticides. Available online at: http://Www.Patentbuddy.Com/Patent/Wo-2023044345-A1
  71. FAOSTAT . (2023). FAOSTAT Pesticides Use. Available online at: https://www.fao.org/faostat/en/#data/RP (accessed October 1, 2025).
  72. Fleck A. (2025) Pesticides banned in the EU are still being sent abroad. Available online at: https://www.statista.com/chart/35310/weight-of-eu-banned-pesticides-notified-for-export-to-and-from-selected-countries/ (accessed October 15, 2025).
  73. Fosu P. O., Donkor A., Ziwu C., Dubey B., Kingsford-Adaboh R., Asante I., et al. (2017). Surveillance of pesticide residues in fruits and vegetables from Accra Metropolis markets, Ghana, 2010–2012: a case study in Sub-Saharan Africa. Environ. Sci. Pollut. Res. 24, 17187–17205. doi: 10.1007/s11356-017-9287-8, [DOI] [PubMed] [Google Scholar]
  74. Gao Y., Chen S. H., Hu M. Y., Hu Q. B., Luo J. J., Li Y. N. (2012). Purification and characterization of a novel chlorpyrifos hydrolase from Cladosporium cladosporioides Hu-01. PLoS One 7:e38137. doi: 10.1371/journal.pone.0038137, [DOI] [PMC free article] [PubMed] [Google Scholar]
  75. García-Vara M., Postigo C., Palma P., Bleda M. J., de Alda M. L. (2022). QuEChERS-based analytical methods developed for LC-MS/MS multiresidue determination of pesticides in representative crop fatty matrices: olives and sunflower seeds. Food Chem. 386:132558. doi: 10.1016/j.foodchem.2022.132558, [DOI] [PubMed] [Google Scholar]
  76. Ghattas A. K., Fischer F., Wick A., Ternes T. A. (2017). Anaerobic biodegradation of (emerging) organic contaminants in the aquatic environment. Water Res. 116, 268–295. doi: 10.1016/j.watres.2017.02.001 [DOI] [PubMed] [Google Scholar]
  77. Ghosh S., Rusyn I., Dmytruk O. V., Dmytruk K. V., Onyeaka H., Gryzenhout M., et al. (2023). Filamentous fungi for sustainable remediation of pharmaceutical compounds, heavy metal and oil hydrocarbons. Front. Bioeng. Biotechnol. 11:1106973. doi: 10.3389/fbioe.2023.1106973 [DOI] [PMC free article] [PubMed] [Google Scholar]
  78. Gonçalves C. R., Delabona P. d. S. (2022). Strategies for bioremediation of pesticides: challenges and perspectives of the Brazilian scenario for global application – a review. Environ. Adv. 8:100220. doi: 10.1016/j.envadv.2022.100220 [DOI] [Google Scholar]
  79. Gong T., Liu R., Zuo Z., Che Y., Yu H., Song C., et al. (2016). Metabolic engineering of Pseudomonas putida KT2440 for complete mineralization of methyl parathion and γ-hexachlorocyclohexane. ACS Synth. Biol. 5, 434–442. doi: 10.1021/acssynbio.6b00025 [DOI] [PubMed] [Google Scholar]
  80. Góngora-Echeverría V. R., García-Escalante R., Rojas-Herrera R., Giácoman-Vallejos G., Ponce-Caballero C. (2020). Pesticide bioremediation in liquid media using a microbial consortium and bacteria-pure strains isolated from a biomixture used in agricultural areas. Ecotoxicol. Environ. Saf. 200:110734. doi: 10.1016/j.ecoenv.2020.110734, [DOI] [PubMed] [Google Scholar]
  81. González-Abradelo D., Pérez-Llano Y., Rodríguez-Campos J., Navarro-Noya Y. E., Hernández-Mendoza E., Dávila-Ramos S., et al. (2019). First demonstration that ascomycetous halophilic fungi (Aspergillus sydowii and Aspergillus destruens) are useful in xenobiotic mycoremediation under high salinity conditions. Bioresour. Technol. 279, 287–296. doi: 10.1016/j.biortech.2019.02.002 [DOI] [PubMed] [Google Scholar]
  82. Gu L. F., He J., Huang X., Jia K. Z., Li S. P. (2006). Construction of a versatile degrading bacteria Pseudomonas putida KT2440-DOP and its degrading characteristics. Wei Sheng Wu Xue Bao 46, 763–766. [PubMed] [Google Scholar]
  83. Guedes R. N. C., Biondi A., Agathokleous E., Nunes-Nesi A. (2023). (Systemic) insecticides in plants: phytotoxicity, bioactivation, or hormesis? Agriculture Communications 1:100002. doi: 10.1016/j.agrcom.2023.100002 [DOI] [Google Scholar]
  84. Guerrero Ramírez J. R., Ibarra Muñoz L. A., Balagurusamy N., Frías Ramírez J. E., Alfaro Hernández L., Carrillo Campos J. (2023). Microbiology and biochemistry of pesticides biodegradation. Int. J. Mol. Sci. 24:15969. doi: 10.3390/ijms242115969 [DOI] [PMC free article] [PubMed] [Google Scholar]
  85. Gul N., Wani I. A., Mir R. A., Nowshehri J. A., Aslam S., Gupta R., et al. (2023). Plant growth promoting microorganisms mediated abiotic stress tolerance in crop plants: a critical appraisal. Plant Growth Regul. 100, 7–24. doi: 10.1007/s10725-022-00951-5 [DOI] [Google Scholar]
  86. Guo K., Yang J., Yu N., Luo L., Wang E. (2023). Biological nitrogen fixation in cereal crops: Progress, strategies, and perspectives. Plant Commun. 4:100499. doi: 10.1016/j.xplc.2022.100499, [DOI] [PMC free article] [PubMed] [Google Scholar]
  87. Guowen L., Chen Z., Jianglong C., Cao L., Miaoxin B., Lieyu Z. (2023). Research progress of slurry bioreactor bioremediation of refractory organic matter contaminated soil. J. Environ. Eng. Technol. 13, 1694–1700. doi: 10.12153/j.issn.1674-991X.20230161 [DOI] [Google Scholar]
  88. Hai F. I., Modin O., Yamamoto K., Fukushi K., Nakajima F., Nghiem L. D. (2012). Pesticides removal by a mixed culture of bacteria and white-rot fungi. J. Taiwan Inst. Chem. Eng. 43, 459–462. doi: 10.1016/j.jtice.2011.11.002 [DOI] [Google Scholar]
  89. Haldhar S. M., Bhargava R., Berwal M. K., Saroj P. L. (2022). Bio-pesticide compositions and formulation from Citrullus colocynthis for insect control. ICAR–CIAH Patent. [Google Scholar]
  90. Harcombe W. R., Chacon J. M., Adamowicz E. M., Chubiz L. M., Marx C. J. (2018). Evolution of bidirectional costly mutualism from byproduct consumption. Proc. Natl. Acad. Sci. USA 115, 12000–12004. doi: 10.1073/pnas.1810949115, [DOI] [PMC free article] [PubMed] [Google Scholar]
  91. Harel M., Drewes R., Carpenter B., Artimovich E. (2022). Stable dry powder composition comprising biologically active microorganisms and/or bioactive materials and methods of making (US11214597B2). Available online at; https://patents.google.com/patent/US11214597B2/en
  92. Hasanuzzaman M., Bhuyan M. H. M. B., Zulfiqar F., Raza A., Mohsin S. M., Mahmud J. A., et al. (2020). Reactive oxygen species and antioxidant defense in plants under abiotic stress: revisiting the crucial role of a universal defense regulator. Antioxidants 9:681. doi: 10.3390/antiox9080681, [DOI] [PMC free article] [PubMed] [Google Scholar]
  93. Hatamleh A. A., Danish M., Al-Dosary M. A., El-Zaidy M., Ali S. (2022). Physiological and oxidative stress responses of Solanum lycopersicum (L.)(tomato) when exposed to different chemical pesticides. RSC Adv. 12, 7237–7252. doi: 10.1039/d1ra09440h, [DOI] [PMC free article] [PubMed] [Google Scholar]
  94. He L., Xiu Y., Jones J. A., Baidoo E. E. K., Keasling J. D., Tang Y. J., et al. (2017). Deciphering flux adjustments of engineered E. coli cells during fermentation with changing growth conditions. Metab. Eng. 39, 247–256. doi: 10.1016/j.ymben.2016.12.008, [DOI] [PubMed] [Google Scholar]
  95. Heeb N. V., Hubeli J., Fleischmann T., Lienemann P., Nayyar N., Lal R., et al. (2021). Transformation of ε-HBCD with the Sphingobium Indicum enzymes LinA1, LinA2 and LinATM, a triple mutant of LinA2. Chemosphere 267:129217. doi: 10.1016/j.chemosphere.2020.129217 [DOI] [PubMed] [Google Scholar]
  96. Horne I., Sutherland T. D., Harcourt R. L., Russell R. J., Oakeshott J. G. (2002). Identification of an opd (organophosphate degradation) gene in an Agrobacterium isolate. Appl. Environ. Microbiol. 68, 3371–3376. doi: 10.1128/AEM.68.7.3371-3376.2002, [DOI] [PMC free article] [PubMed] [Google Scholar]
  97. Hou K., Cheng C., Shi B., Liu W., Du Z., Li B. (2023). New insights into the effects of chlorpyrifos on soil microbes: carbon and nitrogen cycle related microbes in wheat/maize rotation agricultural field. Environ. Pollut. 318:120908. doi: 10.1016/j.envpol.2022.120908 [DOI] [PubMed] [Google Scholar]
  98. Hou Y., Tao J., Shen W., Liu J., Li J., Li Y., et al. (2011). Isolation of the fenoxaprop-ethyl (FE)-degrading bacterium Rhodococcus sp. T1, and cloning of FE hydrolase gene feh. FEMS Microbiol. Lett. 323, 196–203. doi: 10.1111/j.1574-6968.2011.02376.x, [DOI] [PubMed] [Google Scholar]
  99. Huo K., Liu Y., Huang R., Zhang Y., Liu H., Che Y., et al. (2022). Development of a novel promoter engineering-based strategy for creating an efficient para-nitrophenol-mineralizing bacterium. J. Hazard. Mater. 424:127672. doi: 10.1016/j.jhazmat.2021.127672, [DOI] [PubMed] [Google Scholar]
  100. Huo K., Wang S., Zhao W., Guo H., Xiong W., Liu R., et al. (2023). Creating an efficient 1,2-dichloroethane-mineralizing bacterium by a combination of pathway engineering and promoter engineering. Sci. Total Environ. 878:163140. doi: 10.1016/j.scitotenv.2023.163140 [DOI] [PubMed] [Google Scholar]
  101. Inthama P., Pumas P., Pekkoh J., Pathom-Aree W., Pumas C. (2021). Plant growth and drought tolerance-promoting bacterium for bioremediation of paraquat pesticide residues in agriculture soils. Front. Microbiol. 12:604662. doi: 10.3389/fmicb.2021.604662, [DOI] [PMC free article] [PubMed] [Google Scholar]
  102. Islam F., Khan M. S. S., Ahmed S., Ikram A. U., Hannan F., Jan M., et al. (2024). Transcriptomic reprogramming of rice cultivars in response to herbicide, salt and their combined stresses. Plant Stress 12:100504. doi: 10.1016/j.stress.2024.100504 [DOI] [Google Scholar]
  103. Islam S. M. A., Math R. K., Cho K. M., Lim W. J., Hong S. Y., Kim J. M., et al. (2010). Organophosphorus hydrolase OpdB of Lactobacillus brevis WCP902 from kimchi is able to degrade organophosphorus pesticides. J. Agric. Food Chem. 58, 5380–5386. doi: 10.1021/jf903878e, [DOI] [PubMed] [Google Scholar]
  104. Ito S., Sakugawa K., Novianti F., Arie T., Komatsu K. (2024). Local application of Acibenzolar-S-Methyl treatment induces antiviral responses in distal leaves of Arabidopsis thaliana. Int. J. Mol. Sci. 25:1808. doi: 10.3390/ijms25031808 [DOI] [PMC free article] [PubMed] [Google Scholar]
  105. Jaiswal S., Dhingra I., Joshi A., Kodgire P. (2025). Efficacious bioremediation of pesticide-contaminated water using immobilized organophosphorus acid anhydrolase-FL–FL variant enzyme in a lab-scale bioreactor. J Water Process Eng 71:107357. doi: 10.1016/j.jwpe.2025.107357 [DOI] [Google Scholar]
  106. Jallow M. F. A., Awadh D. G., Albaho M. S., Devi V. Y., Ahmad N. (2017). Monitoring of pesticide residues in commonly used fruits and vegetables in Kuwait. Int. J. Environ. Res. Public Health 14:833. doi: 10.3390/ijerph14080833, [DOI] [PMC free article] [PubMed] [Google Scholar]
  107. Jia W., Li N., Yang T., Dai W., Jiang J., Chen K., et al. (2021). Bioaugmentation of atrazine-contaminated soil with Paenarthrobacter sp. strain AT-5 and its effect on the soil microbiome. Front. Microbiol. 12:771463. doi: 10.3389/fmicb.2021.771463, [DOI] [PMC free article] [PubMed] [Google Scholar]
  108. Jiang Z., Ma B., Erinle K. O., Cao B., Liu X., Ye S., et al. (2016). Enzymatic antioxidant defense in resistant plant: Pennisetum americanum (L.) K. schum during long-term atrazine exposure. Pestic. Biochem. Physiol. 133, 59–66. doi: 10.1016/j.pestbp.2016.03.003 [DOI] [PubMed] [Google Scholar]
  109. Karimi H., Mahdavi S., Asgari Lajayer B., Moghiseh E., Rajput V. D., Minkina T., et al. (2022). Insights on the bioremediation technologies for pesticide-contaminated soils. Environ. Geochem. Health 44, 1329–1354. doi: 10.1007/s10653-021-01081-z, [DOI] [PubMed] [Google Scholar]
  110. Karnwal A., Kumar G., Mahmoud A. E. D., Dutta J., Singh R., Al-Tawaha A. R. M. S., et al. (2025). Eco-engineered remediation: microbial and rhizosphere-based strategies for heavy metal detoxification. Curr. Res. Biotechnol. 9:100297. doi: 10.1016/j.crbiot.2025.100297 [DOI] [Google Scholar]
  111. Kashyap U., Garg S., Arora P. (2024). Pesticide pollution in India: environmental and health risks, and policy challenges. Toxicol. Rep. 13:101801. doi: 10.1016/j.toxrep.2024.101801, [DOI] [PMC free article] [PubMed] [Google Scholar]
  112. Kaur R., Mavi G. K., Raghav S., Khan I. (2019). Pesticides classification and its impact on environment. Int. J. Curr. Microbiol. Appl. Sci. 8, 1889–1897. doi: 10.20546/ijcmas.2019.803.224 [DOI] [Google Scholar]
  113. Khan M., Khan T., Tabassum B., Hashim M. (2025). “Overview of Advancements in Bioremediation Techniques” in Management of Waste to Control Environmental Pollutions: Sustainability and Economic Feasibility. eds. Parray J. A., Shameem N., Haghi A. K. (Cham: Springer Nature Switzerland; ), 87–103. [Google Scholar]
  114. Kim K. H., Kabir E., Jahan S. A. (2017). Exposure to pesticides and the associated human health effects. Sci. Total Environ. 575, 525–535. doi: 10.1016/j.scitotenv.2016.09.009 [DOI] [PubMed] [Google Scholar]
  115. Komicho J. D., Tipayno S. C. (2025). Organophosphate degradation and plant growth-promoting activity of soil bacteria isolated from vegetable farms in Benguet, Philippines. J. Pure Appl. Microbiol. 19, 2184–2199. doi: 10.22207/JPAM.19.3.46 [DOI] [Google Scholar]
  116. Kour D., Khan S. S., Kour H., Kaur T., Devi R., Rai P. K., et al. (2022). Microbe-mediated bioremediation: current research and future challenges. J. Appl. Bio. Biotechnol. 10, 6–24. doi: 10.7324/JABB.2022.10s202 [DOI] [Google Scholar]
  117. Książek-Trela P., Potocki L., Szpyrka E. (2025). The impact of novel bacterial strains and their consortium on diflufenican degradation in the mineral medium and soil. Sci. Rep. 15:18051. doi: 10.1038/s41598-025-02696-3, [DOI] [PMC free article] [PubMed] [Google Scholar]
  118. Kulshrestha G., Singh S. B. (2001). Residual fate of metribuzin on carrot (Daucus carota) crop. Bull. Environ. Contam. Toxicol. 66:59. doi: 10.1007/s001280059 [DOI] [PubMed] [Google Scholar]
  119. Kumar S., Diksha, Sindhu S. S., Kumar R. (2022). Biofertilizers: an ecofriendly technology for nutrient recycling and environmental sustainability. Curr. Res. Microb. Sci. 3:100094. doi: 10.1016/j.crmicr.2021.100094 [DOI] [PMC free article] [PubMed] [Google Scholar]
  120. Kumar G., Lal S., Soni S. K., Maurya S. K., Shukla P. K., Chaudhary P., et al. (2022). Mechanism and kinetics of chlorpyrifos co-metabolism by using environment restoring microbes isolated from rhizosphere of horticultural crops under subtropics. Front. Microbiol. 13:891870. doi: 10.3389/fmicb.2022.891870, [DOI] [PMC free article] [PubMed] [Google Scholar]
  121. Kumar P., Rai A. K., Gupta A., Phukon H., Singh A., Kalita D., et al. (2021b). Pesticide-degrading and phosphate-solubilizing bacilli isolated from agricultural soil of Punjab (India) enhance plant growth. Microbiology 90, 848–856. doi: 10.1134/S0026261722010076 [DOI] [Google Scholar]
  122. Kumar P., Singh A., Tripathi M., Diwan D., Manimekalai R., Sharma M., et al. (2025). Microbial degradation of persistent organic pollutants in food supply chain. Discov. Food 5:270. doi: 10.1007/s44187-025-00569-2 [DOI] [Google Scholar]
  123. Kumar M., Yadav A. N., Saxena R., Paul D., Tomar R. S. (2021a). Biodiversity of pesticides degrading microbial communities and their environmental impact. Biocatal. Agric. Biotechnol. 31:101883. doi: 10.1016/j.bcab.2020.101883 [DOI] [Google Scholar]
  124. Kuppan N., Padman M., Mahadeva M., Srinivasan S., Devarajan R. (2024). A comprehensive review of sustainable bioremediation techniques: eco friendly solutions for waste and pollution management. Waste Manag. Bull. 2, 154–171. doi: 10.1016/j.wmb.2024.07.005 [DOI] [Google Scholar]
  125. Latifi A. M., Karami A., Khodi S. (2015). Efficient surface display of diisopropylfluorophosphatase in E. coli for biodegradation of toxic organophosphorus compounds. Appl. Biochem. Biotechnol. 177, 624–636. doi: 10.1007/s12010-015-1766-0 [DOI] [PubMed] [Google Scholar]
  126. Lau Y. Y. (2023). Exploring the potential of composting and biopile systems for remediation of pesticide-contaminated soils. Int. J. Waste Resour. Manag. 245, 1–12. [Google Scholar]
  127. Lea-Smith D. J., Hassard F., Coulon F., Partridge N., Horsfall L., Parker K. D. J., et al. (2025). Engineering biology applications for environmental solutions: potential and challenges. Nat. Commun. 16:3538. doi: 10.1038/s41467-025-58492-0, [DOI] [PMC free article] [PubMed] [Google Scholar]
  128. Lee Y., Jeong S. E., Hur M., Ko S., Jeon C. O. (2018). Construction and evaluation of a Korean native microbial consortium for the bioremediation of diesel fuel-contaminated soil in Korea. Front. Microbiol. 9:2594. doi: 10.3389/fmicb.2018.02594, [DOI] [PMC free article] [PubMed] [Google Scholar]
  129. Leskovac A., Petrović S. (2023). Pesticide use and degradation strategies: food safety, challenges and perspectives. Foods. 12:2709. doi: 10.3390/foods12142709 [DOI] [PMC free article] [PubMed] [Google Scholar]
  130. Li Y., Chen Q., Wang C. H., Cai S., He J., Huang X., et al. (2013). Degradation of acetochlor by consortium of two bacterial strains and cloning of a novel amidase gene involved in acetochlor-degrading pathway. Bioresour. Technol. 148, 628–631. doi: 10.1016/j.biortech.2013.09.038, [DOI] [PubMed] [Google Scholar]
  131. Li R., Dorfler U., Munch J. C., Schroll R. (2017). Enhanced degradation of isoproturon in an agricultural soil by a Sphingomonas sp. strain and a microbial consortium. Chemosphere 168:27817898, 1169–1176. doi: 10.1016/j.chemosphere.2016.10.084 [DOI] [PubMed] [Google Scholar]
  132. Li Q., Li J., Kang K. L., Wu Y. J. (2020). A safety type of genetically engineered bacterium that degrades chemical pesticides. AMB Express 10:33. doi: 10.1186/s13568-020-00967-y, [DOI] [PMC free article] [PubMed] [Google Scholar]
  133. Li X., Lu C., Dai Y., Yu Z., Gu W., Li T., et al. (2022). Characterizing the microbial consortium L1 capable of efficiently degrading chlorimuron-ethyl via metagenome combining 16S rDNA sequencing. Front. Microbiol. 13:912312. doi: 10.3389/fmicb.2022.912312, [DOI] [PMC free article] [PubMed] [Google Scholar]
  134. Li X., Wu S., Dong Y., Li J. (2020). Biostimulation of chlorpyrifos degradation in soil by adding organic amendments. J. Soils Sediments 20, 1–10. [Google Scholar]
  135. Li Y., Wu S., Wang S., Zhao S., Zhuang X. (2021). Anaerobic degradation of xenobiotic organic contaminants (XOCs): The role of electron flow and potential enhancing strategies. J. Environ. Sci. 101, 397–412. doi: 10.1016/j.jes.2020.08.030, [DOI] [PubMed] [Google Scholar]
  136. Li D., Zhou C., Wang S., Hu Z., Xie J., Pan C., et al. (2023). Imidacloprid-induced stress affects the growth of pepper plants by disrupting rhizosphere-plant microbial and metabolite composition. Sci. Total Environ. 898:165395. doi: 10.1016/j.scitotenv.2023.165395 [DOI] [PubMed] [Google Scholar]
  137. Lin Z., Zhang W., Pang S., Huang Y., Mishra S., Bhatt P., et al. (2020). Current approaches to and future perspectives on methomyl degradation in contaminated soil/water environment. Molecules 25:738. doi: 10.3390/molecules25030738, [DOI] [PMC free article] [PubMed] [Google Scholar]
  138. Liu N., Huang J., Liu X., Wu J., Huang M. (2024). Pesticide-induced metabolic disruptions in crops: a global perspective at the molecular level. Sci. Total Environ. 957:177665. doi: 10.1016/j.scitotenv.2024.177665, [DOI] [PubMed] [Google Scholar]
  139. Liu N., Li J., Lv J., Yu J., Xie J., Wu Y., et al. (2021). Melatonin alleviates imidacloprid phytotoxicity to cucumber (Cucumis sativus L.) through modulating redox homeostasis in plants and promoting its metabolism by enhancing glutathione dependent detoxification. Ecotoxicol. Environ. Saf. 217:112248. doi: 10.1016/j.ecoenv.2021.112248 [DOI] [PubMed] [Google Scholar]
  140. Liu X., Mei S., Salles J. F. (2023). Do inoculated microbial consortia perform better than single strains in living soil? A meta-analysis. BioRxiv. doi: 10.1101/2023.03.17.533112 [DOI] [Google Scholar]
  141. Liu X., Sathishkumar K., Zhang H., Saxena K. K., Zhang F., Naraginti S., et al. (2024). Frontiers in environmental cleanup: recent advances in remediation of emerging pollutants from soil and water. J. Hazard. Mater. Adv. 16:100461. doi: 10.1016/j.hazadv.2024.100461 [DOI] [Google Scholar]
  142. Liu J., Tan L., Wang J., Wang Z., Ni H., Li L. (2016). Complete biodegradation of chlorpyrifos by engineered Pseudomonas putida cells expressing surface-immobilized laccases. Chemosphere 157, 200–207. doi: 10.1016/j.chemosphere.2016.05.031, [DOI] [PubMed] [Google Scholar]
  143. Liu Y., Wang Z., Liu M., Zhang T., Liu S., Lu K. (2025). Characterization, sources and risk assessment of organochlorine pesticides (OCPs), organophosphorus pesticides (OPPs) and polycyclic aromatic hydrocarbons (PAHs) in agricultural soils from Jilin Province in Northeast China. Stoch. Environ. Res. Risk Assess. 39, 1741–1755. doi: 10.1007/s00477-025-02944-y [DOI] [Google Scholar]
  144. Liu Y., Wang X., Nong S., Bai Z., Han N., Wu Q., et al. (2022). Display of a novel carboxylesterase CarCby on Escherichia coli cell surface for carbaryl pesticide bioremediation. Microb. Cell Factories 21:97. doi: 10.1186/s12934-022-01821-5, [DOI] [PMC free article] [PubMed] [Google Scholar]
  145. Long Y., Li X., Fang T., Gui H., Wang M., Wang H. (2024). Strain of Glutamicibacter originating from insects capable of efficiently degrading bifenthrin (US12091653B2). Available online at: https://patents.google.com/patent/US12091653B2/en
  146. Lopes P. R. M., Cruz V. H., de Menezes A. B., Gadanhoto B. P., Moreira B. R. A., Mendes C. R., et al. (2022). Microbial bioremediation of pesticides in agricultural soils: an integrative review on natural attenuation, bioaugmentation and biostimulation. Rev. Environ. Sci. Biotechnol. 21, 851–876. doi: 10.1007/s11157-022-09637-w [DOI] [Google Scholar]
  147. López-Benítez A., Guevara-Lara A., Domínguez-Crespo M. A., Andraca-Adame J. A., Torres-Huerta A. M. (2024). Concentrations of organochlorine, organophosphorus, and pyrethroid pesticides in RiversWorldwide (2014–2024): a review. Sustainability 16:8066. doi: 10.3390/su16188066 [DOI] [Google Scholar]
  148. Lourthuraj A. A., Hatshan M. R., Hussein D. S. (2022). Biocatalytic degradation of organophosphate pesticide from the wastewater and hydrolytic enzyme properties of consortium isolated from the pesticide contaminated water. Environ. Res. 205:112553. doi: 10.1016/j.envres.2021.112553, [DOI] [PubMed] [Google Scholar]
  149. Lu P., Li Q., Liu H., Feng Z., Yan X., Hong Q., et al. (2013). Biodegradation of chlorpyrifos and 3,5,6-trichloro-2-pyridinol by Cupriavidus sp. DT-1. Bioresour. Technol. 27, 337–342. doi: 10.1016/j.biortech.2012.09.116 [DOI] [PubMed] [Google Scholar]
  150. Luan H., Zhang Y., Qiu W., Zhang X., Liu M., Feng W., et al. (2025). Research progress on microbial pesticides. Pestic. Biochem. Physiol. 213:106512. doi: 10.1016/j.pestbp.2025.106512 [DOI] [PubMed] [Google Scholar]
  151. Mahalle S., Bhende R. S., Bokade P., Bajaj A., Dafale N. A. (2025). Emerging microbial remediation methods for rejuvenation of pesticide-contaminated sites, Total Environment Microbiology 1:100026. doi: 10.1016/j.temicr.2025.100026 [DOI] [Google Scholar]
  152. Mahmoud G. A. E., Abd-El Salam A. B., Ahmed L. I. (2025). “Insecticides: Current status, properties, and the biological degradation strategies” in Development in Waste Water Treatment Research and Processes. eds. Sonune A., Ghate R. (Amsterdam, Netherlands: Elsevier; ), 45–70. [Google Scholar]
  153. Mahmoud A. M., Khan B., Chaudhary H. J. (2025). “Microbial enzymes for biodegradation and detoxification of pesticides” in Current Developments in Biotechnology and Bioengineering: Pesticides: Human Health, Environmental Impacts and Management. eds. Panwar J. S., Pandey A., Singh S., Garg V. K., Ramamurthy P. C. (Amsterdam, Netherlands: Elsevier; ), 321–355. [Google Scholar]
  154. Manna R. N., Zinovjev K., Tunon I., Dybala-Defratyka A. (2015). Dehydrochlorination of hexachlorocyclohexanes catalyzed by the LinA dehydrohalogenase. A QM/MM study. J. Phys. Chem. B 119, 15100–15109. doi: 10.1021/acs.jpcb.5b07538, [DOI] [PubMed] [Google Scholar]
  155. Mayung H. (2024). Innovative technologies transforming nitrogen fixation in farming. Int. Res. J. Plant Sci. 15, 1–2. doi: 10.14303/irjps.2024.53 [DOI] [Google Scholar]
  156. Medić A. B., Karadžić I. M. (2022). Pseudomonas in environmental bioremediation of hydrocarbons and phenolic compounds-key catabolic degradation enzymes and new analytical platforms for comprehensive investigation. World J. Microbiol. Biotechnol. 38:165. doi: 10.1007/s11274-022-03349-7 [DOI] [PubMed] [Google Scholar]
  157. Medina M. B., Munitz M. S., Resnik S. L. (2021). Fate and health risks assessment of some pesticides residues during industrial rice processing in Argentina. J. Food Compos. Anal. 98:103823. doi: 10.1016/j.jfca.2021.103823 [DOI] [Google Scholar]
  158. Mekonnen B. A., Aragaw T. A., Genet M. B. (2024). Bioremediation of petroleum hydrocarbon contaminated soil: a review on principles, degradation mechanisms, and advancements. Front. Environ. Sci. 12:1354422. doi: 10.3389/fenvs.2024.1354422 [DOI] [Google Scholar]
  159. Michael-Igolima U., Abbey S. J., Ifelebuegu A. O. (2022). A systematic review on the effectiveness of remediation methods for soil contamination. Environ. Adv. 9:100319. doi: 10.1016/j.envadv.2022.100319 [DOI] [Google Scholar]
  160. Mishra S., Zhang W., Lin Z., Pang S., Huang Y., Bhatt P., et al. Carbofuran toxicity and its microbial degradation in contaminated environments. Chemosphere 2020;259:127419. doi: 10.1016/j.chemosphere.2020.127419 [DOI] [PubMed] [Google Scholar]
  161. Misu I. J., Kayess M. O., Siddiqui M. N., Gupta D. R., Islam M. N., Islam T. (2025). Microbiome engineering for sustainable rice production: Strategies for biofertilization, stress tolerance, and climate resilience. Microorganisms 13:233. doi: 10.3390/microorganisms13020233, [DOI] [PMC free article] [PubMed] [Google Scholar]
  162. Miyauchi K., Adachi Y., Nagata Y., Takagi M. (1999). Cloning and sequencing of a novel meta-cleavage dioxygenase gene whose product is involved in degradation of γ-hexachlorocyclohexane in Sphingomonas paucimobilis. J. Bacteriol. 181, 6712–6719. doi: 10.1128/JB.181.21.6712-6719.1999, [DOI] [PMC free article] [PubMed] [Google Scholar]
  163. Miyauchi K., Suh S.-K., Nagata Y., Takagi M. (1998). Cloning and sequencing of a 2,5-dichlorohydroquinone reductive dehalogenase gene whose product is involved in degradation of γ-hexachlorocyclohexane by Sphingomonas paucimobilis. J. Bacteriol. 180, 1354–1359. doi: 10.1128/jb.180.6.1354-1359.1998, [DOI] [PMC free article] [PubMed] [Google Scholar]
  164. Mu Q., Zhang M., Li Y., Feng F., Yu X., Nie J. (2022). Metabolomic analysis reveals the effect of insecticide Chlorpyrifos on rice plant metabolism. Meta 12:1289. doi: 10.3390/metabo12121289 [DOI] [PMC free article] [PubMed] [Google Scholar]
  165. Mukherjee P., Banerjee G., Saha N., Mazumdar A. (2024). Overview on the emergence of pesticide contamination and treatment methodologies. Water Air Soil Pollut. 235:587. doi: 10.1007/s11270-024-07400-1 [DOI] [Google Scholar]
  166. Mukherjee A., Gaurav A. K., Singh S., Yadav S., Bhowmick S., Abeysinghe S., et al. (2022). The bioactive potential of phytohormones: a review. Biotechnol. Rep. 35:e00748. doi: 10.1016/j.btre.2022.e00748 [DOI] [PMC free article] [PubMed] [Google Scholar]
  167. Mulbry W. W., Karns J. S. (1989). Parathion hydrolase specified by the Flavobacterium opd gene relationship between the gene and protein. J. Bacteriol. 171, 6740–6746. [DOI] [PMC free article] [PubMed] [Google Scholar]
  168. Mulbry W. W., Zhu H., Nour S. M., Topp E. (2002). The triazine hydrolase gene trzN from Nocardioides sp. strain C190: cloning and construction of gene-specific primers. FEMS Microbiol. Lett. 206, 75–79. doi: 10.1111/j.1574-6968.2002.tb10989.x [DOI] [PubMed] [Google Scholar]
  169. Mulla S. I., Ameen F., Tallur P. N., Bharagava R. N., Bangeppagari M., Eqani S. A. M. A. S., et al. (2017). Aerobic degradation of fenvalerate by a Gram-positive bacterium, Bacillus flexus strain XJU-4. 3 Biotech 7:320. doi: 10.1007/s13205-017-0957-5, [DOI] [PMC free article] [PubMed] [Google Scholar]
  170. Nagata Y., Hatta T., Imai R., Kimbara K., Fukuda M., Yano K., et al. (1993). Purification and characterization of γ-hexachlorocyclohexane (γ-HCH) dehydrochlorinase (LinA) from Pseudomonas paucimobilis. Biosci. Biotech. Biochem. 57, 1582–1583. doi: 10.1271/bbb.57.1582 [DOI] [PubMed] [Google Scholar]
  171. Nagata Y., Miyauchi K., Damborsky J., Manova K., Ansorgova A., Takagi M. (1997). Purification and characterization of a haloalkane dehalogenase of a new substrate class from a γ-hexachlorocyclohexane-degrading bacterium, Sphingomonas paucimobilis UT26. Appl. Environ. Microbiol. 63, 3707–3710. doi: 10.1128/aem.63.9.3707-3710.1997 [DOI] [PMC free article] [PubMed] [Google Scholar]
  172. Nagata Y., Tabata M., Ohtsubo Y., Tsuda M. (2016). Biodegradation of organochlorine pesticides. (Fourth Edition. ASM Press) 22, 5–1. doi: 10.1128/9781555818821.ch5.1.2 [DOI] [Google Scholar]
  173. Naidenko O. V. (2020). Application of the food quality protection act children’s health safety factor in the U.S. EPA pesticide risk assessments. Environ. Health 19:16. doi: 10.1186/s12940-020-0571-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
  174. Nandavaram A., Nandakumar A., Kashif G. M., Sagar A. L., Shailaja G., Ramesh A., et al. (2023) Unusual Relationship between Iron Deprivation and Organophosphate Hydrolase Expression. Appl. Environ. Microbiol. 89:e0190322. doi: 10.1128/aem.01903-22, [DOI] [PMC free article] [PubMed] [Google Scholar]
  175. Nath S. (2024). Advancements in food quality monitoring: Integrating biosensors for precision detection. Sust. Food Technol. 2, 976–992. doi: 10.1039/D4FB00094C [DOI] [Google Scholar]
  176. Neumann G., Teras R., Monson L., Kivisaar M., Schauer F., Heipieper H. J. (2004). Simultaneous degradation of atrazine and phenol by Pseudomonas sp. strain ADP: effects of toxicity and adaptation. Appl. Environ. Microbiol. 70, 1907–1912. doi: 10.1128/AEM.70.4.1907-1912.2004, [DOI] [PMC free article] [PubMed] [Google Scholar]
  177. Nie Y., Yang X., Yin M., Wang Z., Wang Q., Dong B., et al. (2024). Simulated bio-slurry reactor for bioremediation of highly contaminated soils by 2, 4, 6-trinitrotoluene (TNT). Int. Biodeterior. Biodegrad. 190:105789. doi: 10.1016/j.ibiod.2024.105789 [DOI] [Google Scholar]
  178. Njoku K. L., Eludini P. O., Adesuyi A. A., Ude E. O. (2020). Physiological and molecular characterization of active fungi in pesticides contaminated soils for degradation of glyphosate. Asian Plant Res. J. 11, 29–45. doi: 10.21203/rs.3.rs-27821/v1 [DOI] [Google Scholar]
  179. Nunes P. S., Lacerda-Junior G. V., Mascarin G. M., Guimarães R. A., Medeiros F. H., Arthurs S., et al. (2024). Microbial consortia of biological products: do they have a future? Biol. Control 188:105439. doi: 10.1016/j.biocontrol.2024.105439 [DOI] [Google Scholar]
  180. Okoffo E. D., Fosu-Mensah B. Y., Gordon C. (2017). Contamination levels of organophosphorus and synthetic pyrethroid pesticides in cocoa beans from Ghana. Food Control 73, 1371–1378. doi: 10.1016/j.foodcont.2016.11.004 [DOI] [Google Scholar]
  181. Orser C. S., Lange C. C., Xun L., Zahrt T. C., Schneider B. J. (1993). Cloning, sequence analysis, and expression of the Flavobacterium pentachlorophenol-4-monooxygenase gene in Escherichia coli. J. Bacteriol. 175, 411–416. [DOI] [PMC free article] [PubMed] [Google Scholar]
  182. Panfili I., Bartucca M. L., Marrollo G., Povero G., Del Buono D. (2019). Application of a plant biostimulant to improve maize (Zea mays) tolerance to metolachlor. J. Agric. Food Chem. 67, 12164–12171. doi: 10.1021/acs.jafc.9b04949, [DOI] [PubMed] [Google Scholar]
  183. Pant G., Garlapati D., Agrawal U., Prasuna R. G., Mathimani T., Pugazhendhi A. (2021). Biological approaches practised using genetically engineered microbes for a sustainable environment: A review. J. Hazard. Mater. 405:124631. doi: 10.1016/j.jhazmat.2020.124631 [DOI] [PubMed] [Google Scholar]
  184. Parween T., Jan S., Fatma T. (2018). Variation in elemental composition as influenced by chlorpyrifos application in mung bean (Vigna radiata L.). Saudi J. Biol. Sci. 25, 1439–1445. doi: 10.1016/j.sjbs.2016.01.006, [DOI] [PMC free article] [PubMed] [Google Scholar]
  185. Pattanasupong A., Nagase H., Inoue M., Hirata K., Tani K., Nasu M., et al. (2004). Ability of a microbial consortium to remove pesticide, carbendazim and 2,4-dichlorophenoxyacetic acid. World Microbiol Biotechnol. 20, 517–522. doi: 10.1023/B:WIBI.0000040405.56291.52 [DOI] [Google Scholar]
  186. Paul D., Pandey G., Meier C., van der Meer J. R., Jain R. K. (2006). Bacterial community structure of a pesticide-contaminated site and assessment of changes induced in community structure during bioremediation. FEMS Microbiol. Ecol. 57, 116–127. doi: 10.1111/j.1574-6941.2006.00103.x [DOI] [PubMed] [Google Scholar]
  187. Pelosi P., Gazza L., Beni C., Barbini D. A., Picardo V., Gambale C., et al. (2025). Processing factors of pesticide residues in durum wheat milling fractions and pasta. Food Chem. 477:143622. doi: 10.1016/j.foodchem.2025.143622, [DOI] [PubMed] [Google Scholar]
  188. Peñaloza-Vazquez A., Mena G. L., Herrera-Estrella L., Bailey A. M. (1995). Cloning and sequencing of the genes involved in glyphosate utilization by Pseudomonas pseudomallei. Appl. Environ. Microbiol. 61, 538–543. doi: 10.1128/aem.61.2.538-543.1995, [DOI] [PMC free article] [PubMed] [Google Scholar]
  189. Peng Z., Liu X., Zhang W., Zeng Z., Liu Z., Zhang C., et al. (2020). Advances in the application, toxicity and degradation of carbon nanomaterials in environment: a review. Environ. Int. 134:105298. doi: 10.1016/j.envint.2019.105298, [DOI] [PubMed] [Google Scholar]
  190. Perez-Vazquez A., Barciela P., Prieto M. A. (2024). In situ and ex situ bioremediation of different persistent soil pollutants as agroecology tool. PRO 12:2223. doi: 10.3390/pr12102223 [DOI] [Google Scholar]
  191. Pettinato E., Böhnert P., Berg I. A. (2022). Succinyl-CoA: acetate CoA-transferase functioning in the oxidative tricarboxylic acid cycle in Desulfurella acetivorans. Front. Microbiol. 13:1080142. doi: 10.3389/fmicb.2022.1080142, [DOI] [PMC free article] [PubMed] [Google Scholar]
  192. Prakash V., Basu K. (2022). Novel microbial formulation for endosulfan bioremediation and a process of manufacturing (Patent No. 404587). London: International Panacea Limited. [Google Scholar]
  193. Purnomo A. S., Sariwati A., Kamei I. (2020). Synergistic interaction of a consortium of the brown-rot fungus Fomitopsis pinicola and the bacterium Ralstonia pickettii for DDT biodegradation. Heliyon. 6:e04027. doi: 10.1016/j.heliyon.2020.e04027 [DOI] [PMC free article] [PubMed] [Google Scholar]
  194. Qattan S. Y. A. (2025). Harnessing bacterial consortia for effective bioremediation: targeted removal of heavy metals, hydrocarbons, and persistent pollutants. Environ. Sci. Eur. 37:85. doi: 10.1186/s12302-025-01103-y [DOI] [Google Scholar]
  195. Qian X., Chen L., Sui Y., Chen C., Zhang W., Zhou J., et al. (2019). Biotechnological potential and applications of microbial consortia. Biotechnol. Adv. 18:107500. doi: 10.1016/j.biotechadv.2019.107500 [DOI] [PubMed] [Google Scholar]
  196. Rafeeq H., Afsheen N., Rafique S., Arshad A., Intisar M., Hussain A., et al. (2023). Genetically engineered microorganisms for environmental remediation. Chemosphere 310:136751. doi: 10.1016/j.chemosphere.2022.136751 [DOI] [PubMed] [Google Scholar]
  197. Raffa C. M., Chiampo F. (2021). Bioremediation of agricultural soils polluted with pesticides: a review. Bioengineering 8:92. doi: 10.3390/bioengineering8070092, [DOI] [PMC free article] [PubMed] [Google Scholar]
  198. Raimondo E. E., Aparicio J. D., Bigliardo A. L., Fuentes M. S., Benimeli C. S. (2020). Enhanced bioremediation of lindane contaminated soils through microbial bioaugmentation assisted by biostimulation with sugarcane filter cake. Ecotoxicol. Environ. Saf. 190:110143. doi: 10.1016/j.ecoenv.2019.110143 [DOI] [PubMed] [Google Scholar]
  199. Ram R. M., Debnath A., Negi S., Singh H. B. (2022). Use of microbial consortia for broad spectrum protection of plant pathogens: regulatory hurdles, present status and future prospects. Biopesticides 22, 319–335. doi: 10.1016/B978-0-12-823355-9.00017-1 [DOI] [Google Scholar]
  200. Rana S., Mardarveran P., Gupta R., Singh L., Wahid Z. A. (2019). Role of Microbes in Degradation of Chemical Pesticides. In: Kumar, A., Sharma, S. (eds) Microbes and Enzymes in Soil Health and Bioremediation. Microorganisms for Sustainability, (Singapore: Springer). doi: 10.1007/978-981-13-9117-0_11 [DOI]
  201. Rani L., Thapa K., Kanojia N., Sharma N., Singh S., Grewal A. S., et al. (2021). An extensive review on the consequences of chemical pesticides on human health and environment. J. Clean. Prod. 283:124657. doi: 10.1016/j.jclepro.2020.124657 [DOI] [Google Scholar]
  202. Rebello S., Nathan V. K., Sindhu R., Binod P., Awasthi M. K., Pandey A. (2021). Bioengineered microbes for soil health restoration: Present status and future. Bioengineered 12, 12839–12853. doi: 10.1080/21655979.2021.2004645, [DOI] [PMC free article] [PubMed] [Google Scholar]
  203. Rizqi H. D., Purnomo A. S., Ulfi A. (2023). The effect of bacteria addition on DDT biodegradation by BROWN-ROT fungus Gloeophyllum trabeum. Heliyon. 9:e18216. doi: 10.1016/j.heliyon.2023.e18216, [DOI] [PMC free article] [PubMed] [Google Scholar]
  204. Rodríguez A., Castrej’on-Godínez M. L., Salazar-Bustamante E., Gama-Martínez Y., S’anchez-Salinas E., Mussali-Galante P., et al. (2020). Omics approaches to pesticide biodegradation. Curr. Microbiol. 77, 545–563. doi: 10.1007/s00284-020-01916-5 [DOI] [PubMed] [Google Scholar]
  205. Roell G. W., Zha J., Carr R. R., Koffas M. A., Fong S. S., Tang Y. J. (2019). Engineering microbial consortia by division of labor. Microb. Cell Factories 18:35. doi: 10.1186/s12934-019-1083-3, [DOI] [PMC free article] [PubMed] [Google Scholar]
  206. Romantschuk M., Lahti-Leikas K., Kontro M., Galitskaya P., Talvenmäki H., Simpanen S., et al. (2023). Bioremediation of contaminated soil and groundwater by in situ biostimulation. Front. Microbiol. 14:1258148. doi: 10.3389/fmicb.2023.1258148, [DOI] [PMC free article] [PubMed] [Google Scholar]
  207. Sadiq F. K., Sadiq A. A., Matsika T. A., Momoh B. A. (2025). Sustainable remediation of persistent organic pollutants: a review on recent innovative technologies. Curr. Res. Biotechnol. 9:100293. doi: 10.1016/j.crbiot.2025.100293 [DOI] [Google Scholar]
  208. Sankhyan S., Kumar P., Pandit S., Sharma K., Ray S. (2025). Degradation of polyaromatic hydrocarbons by biosurfactant-producing Pseudomonas aeruginosa NG4. J. Xenobiotics 15:31. doi: 10.3390/jox15010031, [DOI] [PMC free article] [PubMed] [Google Scholar]
  209. Sariwati A., Purnomo A. S., Kamei I. (2017). Abilities of co-cultures of brown-rot fungus Fomitopsis pinicola and Bacillus subtilis on biodegradation of DDT. Curr. Microbiol. 74, 1068–1075. doi: 10.1007/s00284-017-1286-y, [DOI] [PubMed] [Google Scholar]
  210. Sarker A., Nandi R., Kim J. E., Islam T. (2021). Remediation of chemical pesticides from contaminated sites through potential microorganisms and their functional enzymes: prospects and challenges. Environ. Technol. Innov. 23:101777. doi: 10.1016/j.eti.2021.101777 [DOI] [Google Scholar]
  211. Sarti C., Sforzi L., Martellini T., Cincinelli A. (2025). Status and trends of biosensor technologies for environmental monitoring of brominated flame retardants. Front. Anal. Sci. 5:1527655. doi: 10.3389/frans.2025.1527655 [DOI] [Google Scholar]
  212. Sasu D. D. (2025). Global pesticide agricultural use 2023, by leading country. Available online at: https://www.statista.com/statistics/1263069/global-pesticide-use-by-country/#:~:text=Table_content:%20header:%20%7C%20Characteristic%20%7C%20Consumption%20in,Consumption%20in%20thousand%20metric%20tons:%20262.51%20%7C
  213. Seffernick J. L., Shapir N., Schoeb M., Johnson G., Sadowsky M. J., Wackett L. P. (2002). Enzymatic degradation of chlorodiamino-s-triazine. Appl. Environ. Microbiol. 68, 4672–4675. doi: 10.1128/AEM.68.9.4672-4675.2002, [DOI] [PMC free article] [PubMed] [Google Scholar]
  214. Shahid M., Khan M. S., Ahmed B., Syed A., Bahkali A. H. (2021). Physiological disruption, structural deformation and low grain yield induced by neonicotinoid insecticides in chickpea: A long term phytotoxicity investigation. Chemosphere 262:128388. doi: 10.1016/j.chemosphere.2020.128388 [DOI] [PubMed] [Google Scholar]
  215. Shakeel A. H., Frank J., Zomorodi S., Pourtaheri P. (2024). Compositions and methods for managing pesticide resistance (WO2024238848A2). Available online at: https://patents.google.com/patent/WO2024238848A2/en
  216. Sharma A., Bhardwaj R., Kumar V., Thukral A. K. (2016). GC-MS studies reveal stimulated pesticide detoxification by brassinolide application in Brassica juncea L. plants. Environ. Sci. Pollut. Res. 23, 14518–14525. doi: 10.1007/s11356-016-6650-0, [DOI] [PubMed] [Google Scholar]
  217. Sharma I., Bhardwaj R., Pati P. K. (2013). Stress modulation response of 24-epibrassinolide against imidacloprid in an elite indica rice variety Pusa Basmati-1. Pestic. Biochem. Physiol. 105, 144–153. doi: 10.1016/j.pestbp.2013.01.004 [DOI] [Google Scholar]
  218. Sharma A., Kumar V., Shahzad B., Tanveer M., Sidhu G. P. S., Handa N., et al. (2019a). Worldwide pesticide usage and its impacts on ecosystem. SN Appl. Sci. 1:1446. doi: 10.1007/s42452-019-1485-1 [DOI] [Google Scholar]
  219. Sharma A., Kumar V., Thukral A., Bhardwaj R. (2019b). Responses of Plants to Pesticide Toxicity: an Overview. Planta Daninha 37:e019184291. doi: 10.1590/S0100-83582019370100065 [DOI] [Google Scholar]
  220. Shen Y. J., Lu P., Mei H., Yu H. J., Hong Q., Li S. P. (2010). Isolation of a methyl parathion-degrading strain Stenotrophomonas sp. SMSP-1 and cloning of the ophc2 gene. Biodegradation 21, 785–792. doi: 10.1007/s10532-010-9343-2, [DOI] [PubMed] [Google Scholar]
  221. Singh P, Saini HS, Raj M (2016). Rhamnolipid mediated enhanced degradation of chlorpyrifos by bacterial consortium in soil water system. Ecotoxicol. Environ. Saf. 134, 156–162. doi: 10.1016/j.ecoenv.2016.07.020 [DOI] [PubMed] [Google Scholar]
  222. Singh T., Verma A. K. (2024). In-silico toxicity analysis for interaction between Organophosphates and Acetyl cholinesterase through molecular level simulation. Cham: Springer. [Google Scholar]
  223. Sobiecka E., Mroczkowska M., Olejnik T. P. (2022a). The enzymatic antioxidants activities changes in water plants tissues exposed to chlorpyrifos stress. Antioxidants 11:2104. doi: 10.3390/antiox11112104, [DOI] [PMC free article] [PubMed] [Google Scholar]
  224. Sobiecka E., Mroczkowska M., Olejnik T. P. (2022b). The influence of chlorpyrifos on the nonenzymatic antioxidants content in macrophytes leaves. Antioxidants 11:684. doi: 10.3390/antiox11040684, [DOI] [PMC free article] [PubMed] [Google Scholar]
  225. Srinivasan P., Selvankumar T., Paray B. A., Rehman M. U., Kamala-Kannan S., Govarthanan M., et al. (2020). Chlorpyrifos degradation efficiency of Bacillus sp. laccase immobilized on iron magnetic nanoparticles. 3 Biotech 10:2363. doi: 10.1007/S13205-020-02363-6, [DOI] [PMC free article] [PubMed] [Google Scholar]
  226. Štajner D., Popović M., Štajner M. (2003). Herbicide induced oxidative stress in lettuce, beans, pea seeds and leaves. Biol. Plant. 47, 575–579. [Google Scholar]
  227. Strandberg B., Sørensen P. B., Bruus M., Bossi R., Dupont Y. L., Link M., et al. (2021). Effects of glyphosate spray-drift on plant flowering. Environ. Pollut. 280:116953. doi: 10.1016/j.envpol.2021.116953, [DOI] [PubMed] [Google Scholar]
  228. Sudheer S., Bai R. G., Usmani Z., Sharma M. (2020). Insights on engineered microbes in sustainable agriculture: Biotechnological developments and future prospects. Curr. Genomics 21, 321–333. doi: 10.2174/1389202921999200603165934, [DOI] [PMC free article] [PubMed] [Google Scholar]
  229. Sun J., Wang F., Jia X., Wang X., Xiao X., Dong H. (2023). Research progress of bio-slurry remediation technology for organic contaminated soil. RSC Adv. 13, 9903–9917. doi: 10.1039/d2ra06106f, [DOI] [PMC free article] [PubMed] [Google Scholar]
  230. Swathy K., Vivekanandhan P., Yuvaraj A., Sarayut P., Kim J. S., Krutmuang P. (2024). Biodegradation of pesticide in agricultural soil employing entomopathogenic fungi: current state of the art and future perspectives. Heliyon 10:e23406. doi: 10.1016/j.heliyon.2023.e23406, [DOI] [PMC free article] [PubMed] [Google Scholar]
  231. Tan W., Li Q., Zhai H. (2012). Photosynthesis and growth responses of grapevine to acetochlor and fluoroglycofen. Pestic. Biochem. Physiol. 103, 210–218. doi: 10.1016/j.pestbp.2012.05.010 [DOI] [Google Scholar]
  232. Thanigaivel A. S., Kamalesh R., Thamarai P., Saravanan A., Anbarasu K., Vickram A. S. (2025). Advances in smart biosensors for real-time pollutant monitoring and detoxification: mechanisms, applications, and challenges. TrAC Trends Anal. Chem. 193:118483. doi: 10.1016/j.trac.2025.118483 [DOI] [Google Scholar]
  233. Thirumalaivasan N., Gnanasekaran L., Kumar S., Durvasulu R., Sundaram T., Rajendran S., et al. (2024). Utilization of fungal and bacterial bioremediation techniques for the treatment of toxic waste and biowaste. Front. Mat. 11:1416445. doi: 10.3389/fmats.2024.1416445 [DOI] [Google Scholar]
  234. Tianming C., Liwei C, Shucheng C. (2023). Bacterial strain and microbial inoculum for treating pesticide wastewater and application method and device thereof. Available online at: https://patents.google.com/patent/CN116396911B/en
  235. Tondro H., Musivand S., Zilouei H., Bazarganipour M., Zargoosh K. (2020). Biological production of hydrogen and acetone- butanol-ethanol from sugarcane bagasse and rice straw using co-culture of Enterobacter aerogenes and Clostridium acetobutylicum. Biomass Bioenergy 142:105818. doi: 10.1016/j.biombioe.2020.105818 [DOI] [Google Scholar]
  236. Trantírek L., Hynková K., Nagata Y., Murzin A., Ansorgová A., Sklenár V., et al. (2001). Reaction mechanism and stereochemistry of γ-hexachlorocyclohexane dehydrochlorinase LinA. J. Biol. Chem. 276, 7734–7740. [DOI] [PubMed] [Google Scholar]
  237. Traxler C., Gaines T. A., Küpper A., Luemmen P., Dayan F. E. (2023). The nexus between reactive oxygen species and the mechanism of action of herbicides. J. Biol. Chem. 299:105267. doi: 10.1016/j.jbc.2023.105267, [DOI] [PMC free article] [PubMed] [Google Scholar]
  238. Turkington T. K., Beres B. L., Kutcher H. R., Irvine B., Johnson E. N., O'Donovan J. T., et al. (2016). Winter wheat yields are increased by seed treatment and fall-applied fungicide. Agron. J. 108, 1379–1389. doi: 10.2134/agronj2015.0573 [DOI] [Google Scholar]
  239. Tutika S., Himabindu V. (2025). Prospects of plant growth promoting bacterium, Bacillus megaterium, for the biodegradation of selected novel pesticides. Nat. Environ. Pollut. Technol. 24:25. doi: 10.46488/NEPT.2025.v24i04.B4313 [DOI] [Google Scholar]
  240. Tyagi A., Ali S., Mir R. A., Sharma S., Arpita K., Almalki M. A., et al. (2024). Uncovering the effect of waterlogging stress on plant microbiome and disease development: current knowledge and future perspectives. Front. Plant Sci. 15:1407789. doi: 10.3389/fpls.2024.1407789, [DOI] [PMC free article] [PubMed] [Google Scholar]
  241. Tzanetou E. N., Karasali H. (2022). A comprehensive review of organochlorine pesticide monitoring in agricultural soils: the silent threat of a conventional agricultural past. Agriculture 12:728. doi: 10.3390/agriculture12050728 [DOI] [Google Scholar]
  242. Varghese E. M., Sivadas S., Suresh C. (2021). Biodegradation of chlorpyrifos by an optimized Bacillus consortium isolated from pesticide-contaminated soils of Kerala, India. Int. J. Pest Manag. 70, 348–356. doi: 10.1080/09670874.2021.1973690 [DOI] [Google Scholar]
  243. Vermelho A. B., Moreira J. V., Akamine I. T., Cardoso V. S., Mansoldo F. R. (2024). Agricultural pest management: the role of microorganisms in biopesticides and soil bioremediation. Plants 13:2762. doi: 10.3390/plants13192762, [DOI] [PMC free article] [PubMed] [Google Scholar]
  244. Villaverde J., Rubio-Bellido M., Lara-Moreno A., Merchan F., Morillo E. (2018). Combined use of microbial consortia isolated from different agricultural soils and cyclodextrin as a bioremediation technique for herbicide contaminated soils. Chemosphere 193, 118–125. doi: 10.1016/j.chemosphere.2017.10.172 [DOI] [PubMed] [Google Scholar]
  245. Villaverde J., Rubio-Bellido M., Merchan F., et al. (2017). Bioremediation of diuron contaminated soils by a novel degrading microbial consortium. J. Environ. Manag. 188, 379–386. doi: 10.1016/j.jenvman.2016.12.020 [DOI] [PubMed] [Google Scholar]
  246. Virk A. L., Shakoor A., Abdullah A., Chang S. X., Cai Y. (2024). Pesticide effects on crop physiology, production and soil biological functions. Adv. Agron. 187, 171–212. doi: 10.1016/bs.agron.2024.05.003 [DOI] [Google Scholar]
  247. Walder F., Schmid M. W., Riedo J., Valzano-Held A. Y., Banerjee S., Büchi L., et al. (2022). Soil microbiome signatures are associated with pesticide residues in arable landscapes. Soil Biol. Biochem. 174:108830. doi: 10.1016/j.soilbio.2022.108830 [DOI] [Google Scholar]
  248. Wang Y., Liu C., Wan J., Sun X., Ma W., Ni H. (2018). Molecular cloning and characterization of a methyl parathion hydrolase from an organophosphorus-degrading bacterium, Serratia marcescens MEW06. FEMS Microbiol. Lett. 365:279. doi: 10.1093/femsle/fny279, [DOI] [PubMed] [Google Scholar]
  249. Wang S., Tang H., Peng F., Yu X., Su H., Xu P., et al. (2019). Metabolite-based mutualism enhances hydrogen production in a two-species microbial consortium. Commun. Biol. 2:82. doi: 10.1038/s42003-019-0331-8 [DOI] [PMC free article] [PubMed] [Google Scholar]
  250. Wang Y., Tian H., Huang F., Long W., Zhang Q., Wang J., et al. (2017). Time-resolved analysis of a denitrifying bacterial community revealed a core microbiome responsible for the anaerobic degradation of quinoline. Sci. Rep. 7:14778. doi: 10.1038/s41598-017-15122-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
  251. Wang F., Xie Y., Lü Y., Wang Y., Zhang Z., Xi F., et al. (2024). Unveiling the development trends of environmental and human health concerns for pesticides: Integrating an intelligent approach and data mining across diverse databases. Sci. Total Environ. 954:176477. doi: 10.1016/j.scitotenv.2024.176477 [DOI] [PubMed] [Google Scholar]
  252. Wang X., Xue L., Chang S., He X., Fan T., Wu J., et al. (2019). Bioremediation and metabolism of clothianidin by mixed bacterial consortia enriched from contaminated soils in Chinese greenhouse. Process Biochem. 78, 114–122. doi: 10.1016/j.procbio.2018.12.031 [DOI] [Google Scholar]
  253. Wang Z., Yu J., Wang C., Hua Y., Wang H., Chen J. (2025). The deep mining era: Genomic, metabolomic, and integrative approaches to microbial natural products from 2018 to 2024. Mar. Drugs 23:261. doi: 10.3390/md23070261 [DOI] [PMC free article] [PubMed] [Google Scholar]
  254. Wang X. D., Zhang C. Y., Yuan Y., Hua Y. F., Asami T., Qin Y., et al. (2022). Molecular responses and degradation mechanisms of the herbicide diuron in rice crops. J. Agric. Food Chem. 70, 14352–14366. doi: 10.1021/acs.jafc.2c05142, [DOI] [PubMed] [Google Scholar]
  255. Wei L., Zhang X., Liang X., Cui J., Pan X., Wu X., et al. (2025). Pesticide residues in maize kernels: Monitoring and human dietary risk assessment. Food Control 22:111677. doi: 10.1016/j.foodcont.2025.111677 [DOI] [Google Scholar]
  256. Wend K., Zorrilla L., Freimoser F. M., Gallet A. (2024). Microbial pesticides – challenges and future perspectives for testing and safety assessment with respect to human health. Environ. Health 23:49. doi: 10.1186/s12940-024-01090-2, [DOI] [PMC free article] [PubMed] [Google Scholar]
  257. Wengang L., Haishen S. (2023). Method for degrading residual pesticide in soil. Available online at: https://patents.google.com/patent/CN117244935A/en
  258. Wolfaardt G. M., Lawrence J. R., Robarts R. D., Caldwell S. J., Caldwell D. E. (1994). Multicellular organization in a degradative biofilm community. Appl. Environ. Microbiol. 60, 434–446. doi: 10.1128/aem.60.2.434-446.1994, [DOI] [PMC free article] [PubMed] [Google Scholar]
  259. Wong W. L., Wong G. H. W. (2023). Bioremediation of pesticide-contaminated soils through composting: mechanisms, influencing factors, and future prospects. Int. J. Waste Res. Manage. 338, 45–58. doi: 10.53623/idwm.v3i2.338 [DOI] [Google Scholar]
  260. Xia X.-J., Wu W., Chen J.-P., Shan H.-W. (2023). The gut bacterium Serratia marcescens mediates detoxification of organophosphate pesticide in Riptortus pedestris by microbial degradation. J. Appl. Entomol. 147, 406–415. doi: 10.1111/jen.13122 [DOI] [Google Scholar]
  261. Xie Y., Gong L., Liu S., Yan J., Zhao S., Xia C., et al. (2023). Antioxidants improve β-cypermethrin degradation by alleviating oxidative damage and increasing bioavailability by Bacillus cereus GW-01. Environ. Res. 236:116680. doi: 10.1016/j.envres.2023.116680 [DOI] [PubMed] [Google Scholar]
  262. Xiong W., Liu Y., Meng Y., Jiang Y., Chen H., Liu R., et al. (2025). Metabolic engineering of Halomonas cupida for efficient mineralization of an organochlorine herbicide 2, 4-dichlorophenoxyacetic acid in high saline wastewater. ACS ES&T Eng. 5, 1289–1297. doi: 10.1021/acsestengg.4c00897 [DOI] [Google Scholar]
  263. Xu D., Gao Y., Sun B., Ran T., Zeng L., He J., et al. (2020). Pyrethroid carboxylesterase PytH from Sphingobium faniae JZ-2: structure and catalytic mechanism. Appl. Environ. Microbiol. 86, e02971–e02919. doi: 10.1128/AEM.02971-19, [DOI] [PMC free article] [PubMed] [Google Scholar]
  264. Xu J., Wang B., Wang M. Q., Gao J. J., Li Z. J., Tian Y. S., et al. (2022). Metabolic engineering of Escherichia coli for methyl parathion degradation. Front. Microbiol. 13:679126. doi: 10.3389/fmicb.2022.679126, [DOI] [PMC free article] [PubMed] [Google Scholar]
  265. Yadav I. C., Devi N. L. (2017). Pesticides classification and its impact on human and environment. Environ. Sci. Eng. 6, 140–158. [Google Scholar]
  266. Yadav H., Kumar N. (2024). Contamination levels and distribution of pesticides in crops and its hazardous effects on living beings. Macromol. Symp. 413:2400125. doi: 10.1002/masy.202400125 [DOI] [Google Scholar]
  267. Yadav U., Kushwaha S., Anand V., Kumar S., Prakash O., Singh P. C. (2021). Chlorpyrifos degradation by plant growth-promoting Alcaligenes faecalis bacteria isolated from oil-contaminated soil. Biorem. J. 25, 80–88. doi: 10.1080/10889868.2020.1837066 [DOI] [Google Scholar]
  268. Yan J., Chen Z., Hu D., Ge H., Jiang B., Dong J., et al. (2024). Anaerobic degradation of pesticide wastewater: improving sludge characteristics and reducing membrane fouling with combined tandem UASB+membrane system with high velocity settlers. Water Res. 263:122174. doi: 10.1016/j.watres.2024.122174 [DOI] [PubMed] [Google Scholar]
  269. Yang A., Park J. H., Abd El-Aty A. M., Choi J. H., Oh J. H., Do J. A., et al. (2012). Synergistic effect of washing and cooking on the removal of multi-classes of pesticides from various food samples. Food Control 28, 99–105. doi: 10.1016/j.foodcont.2012.04.018 [DOI] [Google Scholar]
  270. Yu Z. Z., Wang H. X., Yu D. S., Yin N. X., Zhang J. (2024). The effect of aeration and irrigation on the improvement of soil microbial respiration and degradation potential in the root zone. Front. Plant Sci. 15:1464624. doi: 10.3389/fpls.2024.1464624 [DOI] [PMC free article] [PubMed] [Google Scholar]
  271. Yusuf H., Ko, Ito R., Stari L., Kishida K., Ohtsubo Y., et al. (2023). Degradation of DDT by γ-hexachlorocyclohexane dehydrochlorinase LinA. Biosci. Biotechnol. Biochem. 88, 123–130. doi: 10.1093/bbb/zbad141 [DOI] [PubMed] [Google Scholar]
  272. Zhan H., Huang Y., Lin Z., Bhatt P., Chen S. (2020). New insights into the microbial degradation and catalytic mechanism of synthetic pyrethroids. Environ. Res. 182:109138. doi: 10.1016/j.envres.2020.109138, [DOI] [PubMed] [Google Scholar]
  273. Zhang W., Chen W. J., Chen S. F., Liu M., Ghorab M. A., Mishra S., et al. (2024b). Complete biodegradation of glyphosate with microbial consortium YS622: structural analysis, biochemical pathways, and environmental bioremediation. J. Environ. Chem. Eng. 12:114344. doi: 10.1016/j.jece.2024.114344 [DOI] [Google Scholar]
  274. Zhang Y., Chen M., Guo J., Liu N., Yi W., Yuan Z., et al. (2022a). Study on dynamic changes of microbial community and lignocellulose transformation mechanism during green waste composting. Eng. Life Sci. 22, 376–390. doi: 10.1002/elsc.202100102, [DOI] [PMC free article] [PubMed] [Google Scholar]
  275. Zhang Y., Huang L., Liu L., Cao X., Sun C., Lin X. (2022b). Metabolic disturbance in lettuce (Lactuca sativa) plants triggered by imidacloprid and fenvalerate. Sci. Total Environ. 802:149764. doi: 10.1016/j.scitotenv.2021.149764 [DOI] [PubMed] [Google Scholar]
  276. Zhang W., Lin Z., Pang S., Bhatt P., Chen S.. (2020). Insights into the biodegradation of lindane (c hexachlorocyclohexane) using a microbial system. Front. Microbiol. 11:522. doi: 10.3389/fmicb.2020.00522 [DOI] [PMC free article] [PubMed] [Google Scholar]
  277. Zhang J., Sheng X., Cao J., Fang S., Liu X., Liu X., et al. (2023). Occurrence and risk exposure assessment of multiple pesticide residues in edible mint in China. J. Food Compos. Anal. 116:105071. doi: 10.1016/j.jfca.2022.105071 [DOI] [Google Scholar]
  278. Zhang Y., Tang J., Wang S., Zhou X., Peng C., Zhou H., et al. (2024a). Mechanism of deltamethrin biodegradation by Brevibacillus parabrevis BCP-09 with proteomic methods. Chemosphere 350:141100. doi: 10.1016/j.chemosphere.2023.141100 [DOI] [PubMed] [Google Scholar]
  279. Zhang C., Wang X., Zhang X. (2019). Effects of pesticides on soil microbial communities and enzyme activities. Environ. Sci. Pollut. Res. 26, 32090–32100. [Google Scholar]
  280. Zhang T., Zhang H. (2022). Microbial consortia are needed to degrade soil pollutants. Microorganisms 10:261. doi: 10.3390/microorganisms10020261, [DOI] [PMC free article] [PubMed] [Google Scholar]
  281. Zhao Y., Che Y., Zhang F., Wang J., Gao W., Zhang T., et al. (2021). Development of an efficient pathway construction strategy for rapid evolution of the biodegradation capacity of Pseudomonas putida KT2440 and its application in bioremediation. Sci. Total Environ. 761:143239. doi: 10.1016/j.scitotenv.2020.143239 [DOI] [PubMed] [Google Scholar]
  282. Zhao J., Jiang Y., Gong L., Chen X., Xie Q., Jin Y., et al. (2022). Mechanism of β-cypermethrin metabolism by Bacillus cereus GW-01. Chem. Eng. J. 430:132961. doi: 10.1016/j.cej.2021.132961 [DOI] [Google Scholar]
  283. Zhong W., Chen J. (2006). Environmental biotechnology in China: Progress and prospect. Biotechnol. J. 1, 1241–1252. doi: 10.1002/biot.200600129, [DOI] [PubMed] [Google Scholar]
  284. Zhongli C., Shunpeng L., Guoping F. (2001). Isolation of methyl parathion-degrading strain M6 and cloning of the methyl parathion hydrolase gene. Appl. Environ. Microbiol. 67, 4922–4925. doi: 10.1128/AEM.67.10.4922-4925.2001, [DOI] [PMC free article] [PubMed] [Google Scholar]
  285. Zhou W., Li M., Achal V. (2025). A comprehensive review on environmental and human health impacts of chemical pesticide usage. Emerg. Contam. 11:100410. doi: 10.1016/j.emcon.2024.100410 [DOI] [Google Scholar]
  286. Zhu S., Qiu J., Wang H., Wang X., Jin W., Zhang Y., et al. (2018). Cloning and expression of the carbaryl hydrolase gene mcbA and the identification of a key amino acid necessary for carbaryl hydrolysis. J. Hazard. Mater. 344, 1126–1135. doi: 10.1016/j.jhazmat.2017.12.006 [DOI] [PubMed] [Google Scholar]
  287. Zhu J., Wang B., Zhang Y., Wei T., Gao T. (2023). Living electrochemical biosensing: Engineered electroactive bacteria for biosensor development and the emerging trends. Biosens. Bioelectron. 237:115480. doi: 10.1016/j.bios.2023.115480, [DOI] [PubMed] [Google Scholar]
  288. Zikankuba V. L., Mwanyika G., Ntwenya J. E., James A. (2019). Pesticide regulations and their malpractice implications on food and environment safety. Cogent Food Agric. 5:1601544. doi: 10.1080/23311932.2019.1601544 [DOI] [Google Scholar]

Articles from Frontiers in Microbiology are provided here courtesy of Frontiers Media SA

RESOURCES