Abstract
Introduction
Microplastics (MPs) are widely distributed in the environment, causing damage to biota and human health. Due to their physicochemical characteristics, they become resistant particles to environmental degradation, leading to their accumulation in large quantities in the terrestrial ecosystem. Thus, there is an urgent need for measures to mitigate such pollution, with biological degradation being a viable alternative, where bacteria play a crucial role, demonstrating high efficiency in degrading various types of MPs. Therefore, the study aimed to identify bacteria with the potential for MP biodegradation and the enzymes produced during the process.
Methods
The methodology used followed the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol.
Results and Discussion
The research yielded 68 eligible studies, highlighting bacteria from the genera Bacillus, Pseudomonas, Stenotrophomonas, and Rhodococcus as the main organisms involved in MP biodegradation. Additionally, enzymes such as hydrolases and alkane hydroxylases were emphasized for their involvement in this process. Thus, the potential of bacterial biodegradation is emphasized as a promising pathway to mitigate the environmental impact of MPs, highlighting the relevance of identifying bacteria with biotechnological potential for large-scale applications in reducing MP pollution.
Keywords: bacteria, bioremediation, synthetic polymers, microorganisms, xenobiotic
1 Introduction
The microplastics (MPs) are considered emerging contaminants due to their occurrence in different environmental compartments, including atmospheric, aquatic, and terrestrial. They are defined as plastic particles ranging in size from 1 μm to 5 mm and are found in various types, sizes, shapes, and primary and secondary polymeric compositions (Miri et al., 2022; Thakur et al., 2023).
Microplastics (MPs) are considered harmful to wildlife and humans due to their persistent properties and bioaccumulation. This is attributed to the addition of various substances during their manufacturing process, such as pigments, plasticizers, and flame retardants. Additionally, due to their chemical-physical characteristics, they exhibit high durability, requiring an extended period for degradation in the environment (Cai et al., 2023; Niu et al., 2023).
Therefore, the production of plastics in the industry has been going on since the 1950s, with annual production reaching around 2 million tons, so that in 2015 this production rose significantly to 380 million tons per year. As a result, looking back from 1950 to 2015, approximately more than 7,800 million tons of plastics were produced, resulting in approximately 6,300 million tons of waste. Over the past 70 years, global plastic production has increased from 1.5 million tons to approximately 359.0 million tons, with an estimated projection of reaching 500.0 million tons by 2025. This trend raises significant concerns within civil society, as MPs are primarily generated through the degradation of larger polymers, a process influenced by physical, chemical, or biological factors (Cverenkárová et al., 2021; Torena et al., 2021; Villalobos et al., 2022; Osman et al., 2023). As microplastics increasingly contaminate the environment, the food chain has also been significantly impacted. Plastic contamination has occurred in invertebrates such as polychaetes, 51 crustaceans, echinoderms, bivalves, and vertebrates, including fish, seabirds, and mammals. These particles have entered the food chain either directly or through trophic transfer. Indeed, one of the main concerns arising from microplastic contamination is its bioaccumulative effect in the digestive tract (Cverenkárová et al., 2021).
Microplastics (MPs) enter the environment through various pathways due to poor management and dumping practices. However, there are mechanisms that can be employed to control their presence in the environment, such as biological, thermal, and photocatalytic degradation. Biological degradation occurs through the use of different types of microorganisms, as some have the potential to be employed in bioremediation processes (Park and Kim, 2019).
These microorganisms are widely distributed in nature, with abundance among bacteria due to their rapid reproduction, diverse nutritional capabilities, strong adaptability, and significant potential for degrading MPs. They demonstrate high efficiency in degrading MPs such as Polyethylene terephthalate (PET), Polyethylene (PE), and Polypropylene (PP) in the natural environment (Yuan et al., 2020; Li et al., 2022). Although polymers have a relatively simple chemical structure, they are known for their high resistance to biodegradation, especially due to their hydrophobic structure, high molecular weight, and lack of a favorable functional group. Consequently, when present in the environment in combination with biotic and abiotic factors, they can undergo transformations leading to the formation of alcoholic or carbonyl groups. This process increases plastic hydrophilicity and provides anchors that facilitate the attachment of bacterial species (Villalobos et al., 2022; Pathak, 2023; Thakur et al., 2023).
Thus, exploring the capability of bacteria and the interaction between bacterial enzymes and microplastics is crucial for obtaining and identifying key microorganisms with potential for bioremediation through the biodegradation of synthetic polymers. Therefore, the present study aims to identify the main bacteria that demonstrate viability for the biodegradation of MPs in various environments, as well as the enzymes produced during the degradation process.
2 Materials and methods
2.1 Protocol
This systematic review was conducted in accordance with the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) protocol, organized into the respective phases of planning, execution, and data reporting.
2.2 Eligibility criteria
For the conduct of this investigation, the PECO strategy was employed: Population—Microorganisms, Exposure—Microplastics, Comparison—Not applicable, and Outcomes—Potential of bacteria for microplastic biodegradation.
Thus, according to the aforementioned strategy, studies that considered the key microorganisms involved in microplastic biodegradation were deemed eligible without restrictions on the year and/or language. Consequently, the exclusion criteria encompassed studies and editorial files, typical discussion documents, comments, letters, reviews, studies with incomplete or insufficient data regarding methodology and microorganism identification, as well as duplicates and titles that did not align with the proposed theme.
2.3 Information and research sources
Searches were conducted in the electronic databases PubMed, Medline, and LILACS. Subsequently, the definition of Medical Subject Headings (MeSH) and Health Sciences Descriptors (Decs) descriptors and synonyms, in addition to keywords and Boolean operators, was carried out for the composition of the controlled search strategy. Thus, the terms “Microplastics” AND “Bacteria” AND “Ecosystem” AND “Environment” AND “Biodegradation” AND “Bioremediation” were obtained.
2.4 Articles selection
For study selection, two reviewers participated independently and blindly, resulting in the following stages for the inclusion and exclusion of studies. The first stage involved title analysis, excluding duplicates. The second stage involved discussing eligibility criteria separately according to the PECO strategy, enabling the exclusion of studies not related to the proposed strategy. The third stage consisted of eliminating studies after reading the abstracts, which could not provide sufficient information and data for the fulfillment of the current proposal.
2.5 Data collection process
Subsequently, following the selection of studies, information from the main data of eligible studies was extracted using a form created by the authors with predefined items. The key items included: first author, year of publication, genus and species of the isolated microorganism, source of microorganisms, type of microplastics, and microbial enzymes with potential for microplastic biodegradation. The aforementioned data was then tabulated in an Excel spreadsheet, and any additional calculations and necessary tabulations were performed by two researchers.
2.6 Bias risk
The publication bias was assessed using the Joanna Briggs Institute’s (JBI) critical appraisal checklist for qualitative research (Lockwood et al., 2017). This checklist involves three respective classifications: High, Moderate, and Low. A High-risk rating results in more than 49% scoring “yes,” Moderate involves achieving 50–69% scoring “yes,” and Low consists of a score of “yes” ≥ 70%. According to this assessment, studies with a high risk of publication bias will be excluded.
3 Results
In this systematic search, initially, 954 studies were found. Of these, 58 were excluded due to duplication, 685 due to title, 69 due to abstract, and 74 did not meet eligibility criteria, resulting in a total of 68 eligible studies for systematic review. Figure 1 presents the flowchart demonstrating the main quantitative and qualitative data of the excluded and included articles.
FIGURE 1.
Flowchart with quantitative and qualitative data of excluded and included articles.
According to the eligible studies, the first analysis was conducted to identify the pre-dominance of microorganisms with the potential for microplastic biodegradation. Table 1 presents the main genera and species of microorganisms and their action in the biodegradation of different types of microplastics and the main enzymes analysis related to the degradation of microplastics.
TABLE 1.
Qualitative synthesis of the main genera and species of microorganisms with potential for microplastic biodegradation.
Genus | Species | Source | Microplastic | Enzymes | Analysis of biodegradation | References |
Achromobacter | Achromobacter xylosoxidans | Garbage disposal | HDPE, PCL | Lipase | ATR-FTIR | Oda et al., 1997; Kowalczyk et al., 2016 |
Actinomycetes | Actinomycetes sp. | Mangroves | PP | – | Determination of dry weight | Auta et al., 2017 |
Alcaligenes | Alcaligenes faecalis | Laboratory isolate | PCL | – | HPLC | Oda et al., 1997 |
Alcanivorax | Alcanivorax borkumensis | Marine environment | LDPE | – | ATR-FTIR | Delacuvellerie et al., 2019 |
Alicycliphilus | Alicycliphilus sp. | Garbage disposal | PU | Esterase | IRS-FTIR, SEM, HPLC | Oceguera-Cervantes et al., 2007 |
Aneurinibacillus | Aneurinibacillus sp. | Waste management landfills and sewage treatment plants, mangroves | HDPE, LDPE, PP | – | Determination of dry weight, AFM, EDS, NMR, FTIR, SEM | Auta et al., 2017; Skariyachan et al., 2018 |
Arthrobacter | Arthrobacter sp. | Marine environment | HDPE | – | FTIR | Balasubramanian et al., 2010 |
Azotobacter | Azotobacter vinelandii | Laboratory isolate | PHB | PHB-depolymerase | HPLC | Adaya et al., 2018 |
Bacillus | Bacillus sp. | Landfill, mangrove sediment | PE, PP | Oxidoreductase, alkane- monooxygenase, hydrolases | Determination of dry weight | Auta et al., 2018; Wei et al., 2018; Park et al., 2019 |
Bacillus cereus | Waste disposal, landfill, mangroves, marine environment | HDPE, PET, PP | Hydrolase, Oxidoreductase, laccase, and alkane hydroxylase | Determination of dry weight, FTIR | Satlewal et al., 2008; Sudhakar et al., 2008; Auta et al., 2017, 2018; Muhonja et al., 2018; Zerhouni et al., 2018; Maroof et al., 2021 | |
Bacillus vallismortis | Cow dung | HDPE | Hydrolase and oxidoreductase | AFM, EDS, NMR, FTIR, SEM | Skariyachan et al., 2018 | |
Bacillus siamensis | Garbage disposal | LDPE | Laccase and alkane hydroxylase | FTIR, X-ray diffraction (XRD) | Maroof et al., 2021 | |
Bacillus wiedmannii | Garbage disposal | LDPE | Laccase and alkane hydroxylase | FTIR, XRD | Maroof et al., 2021 | |
Bacillus subtilis | Garbage disposal, marine environment, soil | LDPE, PE, PS, PUR | Laccase and alkane hydroxylase, esterase | MEV, FTIR | Harshvardhan and Jha, 2013; Shah et al., 2013; Asmita et al., 2015; Maroof et al., 2021 | |
Bacillus niacini | Activated sludge in a wastewater treatment plant | PVA | PVAase | Determination of dry weight | Bian et al., 2019 | |
B. paralicheniformis | Marine deep-sea sediment | PS | Peroxidase, esterase, dioxygenase and monooxygenase | TG-DSC, SEM, NMR, FTIR | Kumar et al., 2021 | |
Bacillus gottheilii | Mangroves | PE, PET, PP, PS | – | Determination of dry weight | Auta et al., 2017 | |
Bacillus brevies | Soil | PE | – | MEV | Kuroki et al., 2009 | |
Bacillus pumilus | Laboratory insulation, garbage dump, soil | PE, LDPE | – | MEV, FTIR, GC-MS | Roy et al., 2008; Satlewal et al., 2008; Nowak et al., 2011; Harshvardhan and Jha, 2013 | |
Bacillus sphericus | Marine environment | LDPE | – | FTIR | Sudhakar et al., 2008 | |
Bacillus amyloliquefaciens | Garbage disposal | LDPE | – | Determination of dry weight | Das and Kumar, 2013 | |
Brevibacillus | Brevibacillus sp. | Waste management landfills and sewage treatment plants | PE, PP | – | AFM, EDS, NMR, FTIR, SEM | Skariyachan et al., 2018 |
Brevibacillus borstelensis | Soil | PE | – | FTIR | Hadad et al., 2005 | |
Citrobacter | Citrobacter sp. | Intestinal isolates in larvae of Tenebrio molitor | PS | – | FTIR, NMR | Brandon et al., 2018 |
Cryptococcus | Cryptococcus sp. | Laboratory isolate | PLA | Cutinase | Determination of dry weight | Masaki et al., 2005 |
Cupriavidus | Cupriavidus sp. | Marine litter and water | PVC | – | TGA, GPC | Giacomucci et al., 2020 |
Cupriavidus necator | Laboratory isolate | LDPE | – | FTIR | Montazer et al., 2019 | |
Desulfovibrio | Desulfovibrio sp. | Marine litter and water | PVC | – | TGA, GPC | Giacomucci et al., 2020 |
Exiguobacterium | Exiguobacterium sp. | Soil | PS | Oxygenase | FTIR | Parthasarathy et al., 2022 |
Ideonella | Ideonella sakaiensis | Laboratory isolate, sediments, soil, wastewater and activated sludge | PET | PETase, MHETase, glycosidic hydrolases | FTIR | Tanasupawat et al., 2016; Liu et al., 2019; Palm et al., 2019 |
Klebsiella | Klebsiella pneumoniae | Laboratory isolate | HDPE | Lipase | AFM, UTM, FTIR, SEM | Awasthi et al., 2017 |
Lysinibacillus | Lysinibacillus sp. | Soil, laboratory isolate | PE, PP | – | GC-MS, FTIR, SEM, XRD | Esmaeili et al., 2013; Mukherjee et al., 2016; Jeon et al., 2021 |
Lysinibacillus xylanilyticus | Landfill | LDPE | – | FTIR, SEM, XRD | Esmaeili et al., 2013 | |
Microbacterium | Microbacterium paraoxydans | Laboratory isolate | LDPE | – | ATR-FTIR | Rajandas et al., 2012 |
Micrococcus | Micrococcus luteus | Laboratory isolate | LDPE | – | FTIR | Montazer et al., 2019 |
Mycobacterium | Mycobacterium neoaurum | Soil | Dimethylphenol | – | HPLC | Xiong et al., 2020 |
Oscillatoria | Oscillatoria subbrevis | Domestic sewage water | PE | – | Determination of dry weight | Sarmah and Rout, 2018 |
Paenibacillus | Paenibacillus sp. | Landfill | PE | Alkane monooxygenase | FTIR, SEM | Bardají et al., 2019; Park et al., 2019 |
Pseudomonas | Pseudomonas sp. | Soil, Antarctic soil | BPA, PP, PE, PET, PS | Alkane hydroxylase | HPLC, FTIR | Matsumura et al., 2009; Jeon and Kim, 2015; Wilkes and Aristilde, 2017; Habib et al., 2020; Taghavi et al., 2021 |
Pseudomonas fluorescens | Soil, garbage disposal | PE | Alkane hydroxylase | FTIR | Balasubramanian et al., 2010; Nowak et al., 2011; Jeon and Kim, 2015; Thomas et al., 2015 | |
Pseudomonas aeruginosa | Garbage dump, laboratory insulation, surface water, soil | LDPE, PE, PLA, PS | Alkane hydroxylase | ATR-FTIR | Rajandas et al., 2012; Shimpi et al., 2012; Yoon et al., 2012; Tribedi and Sil, 2013; Taghavi et al., 2021; Tamnou et al., 2021 | |
Pseudomonas aestusnigri | Marine environment | PU | Polyester hydrolase | IMAC, SEC | Bollinger et al., 2020 | |
Pseudomonas protegens | Laboratory isolate | PU | Lipase | NMR, HPLC | Hung et al., 2016 | |
Pseudomonas geniculata | Soil and wastewater sludge | PLA | Protease | GPC, FTIR | Bubpachat et al., 2018 | |
Pseudomonas citronellolis | Landfill | LDPE | – | SEM, FTIR | Bhatia et al., 2014 | |
Pseudozyma | Pseudozyma antártica | Soil | Biodegradable plastic | Esterase | SEM | Sameshima-Yamashita et al., 2019 |
Rhodococcus | Rhodococcus sp. | Antarctic soil, mangrove sediment, laboratory isolate | PP | Monooxygenase, hydrolases | Determination of dry weight, FTIR | Auta et al., 2018; Habib et al., 2020 |
Rhodococcus ruber | Laboratory isolate | PE, PS | Laccase, hydrolases | Determination of dry weight, GPC | Mor and Sivan, 2008; Santo et al., 2013 | |
Rhodococcus rhodochrous | Laboratory isolate | PE | – | FTIR | Fontanella et al., 2010 | |
Serratia | Serratia sp. | Intestinal isolates in larvae of Galleria mellonella L. | PS | – | FTIR | Lou et al., 2022 |
Sporobacter | Sporobacter sp. | Marine litter and water | PVC | – | TGA, GPC | Giacomucci et al., 2020 |
Sporosarcina | Sporosarcina globispora | Mangroves | PP | – | Determination of dry weight | Auta et al., 2017 |
Staphylococcus | Staphylococcus sp. | Garbage disposal | PP | – | FTIR, SEM | Oliya et al., 2020 |
Staphylococcus aureus | Soil | PS | – | MEV, FTIR | Asmita et al., 2015 | |
Stenotrophomonas | Stenotrophomonas sp. | Soil | Nylon | – | SEM, MALDI-TOF | Tachibana et al., 2010 |
Stenotrophomonas rhizophila | Forest | PVA | PVA-dehydrogenase | MAF | Wei et al., 2019 | |
Stenotrophomonas panacihumi | Garbage disposal | PP | – | Determination of dry weight | Jeon et al., 2016 | |
Stenotrophomonas pavanii | Garbage disposal | LDPE | – | XRD, SEM | Mehmood et al., 2016 | |
Streptococcus | Streptococcus pyogenes | Soil | PS | – | MEV, FTIR | Asmita et al., 2015 |
Streptomyces | Streptomyces sp. | Marine environment | PET, PCL | Lacase, SM14est (PETase) | GC-MS, FTIR, NMR | Alshehrei, 2017; Almeida et al., 2019 |
Streptomyces bangladeshensis | Soil | PHB | PHB depolymerase | FTIR | Hsu et al., 2012 | |
Vibrio | Vibrio sp. | Solid waste dumped into water bodies | PET | – | FTIR, SEM, XRD | Sarkhel et al., 2020 |
The literature describes different types of microplastics (MPs), and for this study, the biodegradation actions were investigated for the following types: Polyethylene (PE), Poly-propylene (PP), Polyvinyl chloride (PVC), Polyethylene terephthalate (PET), Polystyrene (PS), High-density polyethylene (HDPE), Low-density polyethylene (LDPE), Polycaprolactone (PCL), Polyhydroxybutyrate (PHB), Polylactic acid (PLA), Bisphenol (Dimethylphenol, BPA), Polyurethane (PU), Biodegradable plastic, Nylon, and Polyvinyl acetate (PVA).
Also for this study, biodegradation analysis actions were investigated: attenuated total reflectance Fourier transform infrared spectroscopy (ATR-FTIR) as well as electron microscope (SEM), Fourier transform infrared spectroscopy (IRS-FTIR), and gas chromatography-mass spectrometry analyses of hydroform (GC-MS), high-performance liquid chromatography (HPLC), atomic force microscopy (AFM), energy dispersive spectroscopy (EDS), nuclear magnetic resonance (NMR), X-ray diffraction (XRD), Fourier transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM), thermogravimetry and differential scanning calorimetry (TG-DSC), nuclear magnetic resonance (NMR), gel permeation chromatography (GPC), thermogravimetric analysis (TGA), universal tensile machine (UTM), atomic force microscope (AFM), immobilized metal ion affinity chromatography (IMAC), size exclusion chromatography (SEC), gel permeation chromatography (GPC), matrix assisted laser desorption/ionization time of flight (MALDI TOF), mobile amorphous fraction (MAF) and determination of dry weight.
A total of 34 different bacterial genera and 63 species were observed. The most frequently found genera were Bacillus (n = 20), Pseudomonas (n = 14), Stenotrophomonas (n = 4), Rhodococcus (n = 3), and their respective species. For the genus Bacillus, the following species were identified: Bacillus sp., B. cereus, B. vallismortis, B. siamensis, B. wiedmannii, B. subtilis, B. niacini, B. paralicheniformis, B. gottheilii, B. brevies, B. pumilus, B. sphericus, and B. amyloliquefaciens. For the genus Pseudomonas, the identified species included Pseudomonas sp., P. fluorescens, P. aeruginosa, P. aestusnigri, P. protegens, P. geniculata, and P. citronellolis. Stenotrophomonas genus included the species Stenotrophomonas sp., S. rhizophila, S. panacihumi, and S. pavanii. For the genus Rhodococcus, the identified species were Rhodococcus sp., R. ruber, and R. rhodochrous.
In the qualitative synthesis regarding the main enzymes found with biodegradation activities, hydrolases and alkane hydroxylase were described as more abundant, especially for the genera Bacillus, Pseudomonas, Rhodococcus, and Ideonella.
Regarding the bias risk from the JBI checklist, it was observed that the majority of responses to the critical appraisal questionnaire from the 68 studies consisted of > 80% “Yes” responses. This indicates that the eligible studies in this investigation had a low risk of bias, meaning they demonstrated high methodological quality.
4 Discussion
The degradation of MPs in the environment is considered an integrated process, involving biological, physical, and chemical actions. Studies have shown that biodegradation has been the most frequent and represents a future perspective for reducing these pollutants in aquatic and terrestrial environments, known as bioremediation (Yuan et al., 2020).
Thus, this work aimed to conduct a literature review on the main bacteria and microbial enzymes involved in the degradation of MPs.
Approximately 80% of commercially marketed plastic materials are obtained from thermoplastic polymers, named for their ability to change from a solid to a viscous state when subjected to high temperatures. The main industrial polymers derived from these thermoplastics and marketed worldwide are Polyethylene, Polypropylene, Polyvinyl chloride, Polyethylene terephthalate, and Polystyrene (Kotova et al., 2021).
This review found that the degradation of MPs through microbial biodegradation can occur in various sediments, including wastewater, landfill deposits, sanitary landfills, sewage residues, soil, among others (Yuan et al., 2020). This occurs because MPs represent a favorable compartment for bacterial colonization and growth, mainly by providing carbon as an energy source (Rujnić-Sokele and Pilipović, 2017). Therefore, studying pure cultures of bacterial isolates is advantageous most of the time, as it enables a controlled analysis of the metabolic pathways of these respective MPs degrading organisms. In this study, the main species and bacterial enzymes (Table 1) involved in this process of MP degradation can be observed, although this data is still not sufficient to understand the entire degradation mechanism (Bacha et al., 2021).
Over the years, an increase in the number of bacterial species with the potential for MP degradation has been observed. The most reported genera are Bacillus, Pseudomonas, Stenotrophomonas, and Rhodococcus (Auta et al., 2018; Wei et al., 2018; Amobonye et al., 2021; Li et al., 2023; Thakur et al., 2023).
The action of these bacteria occurs mainly by forming pores and irregularities on the surfaces of MPs, making them rough with various grooves and fissures, as well as by gaining the ability to adhere, colonize, and damage the MPs (Du et al., 2021; Golmohammadi et al., 2023).
Auta et al. (2017, 2018), used isolates from the genera Rhodococcus sp. and Bacillus sp. and detected a weight reduction of PP by 6.4 and 4.0%, respectively, after a period of just over a month of incubation with the MPs. Additionally, the authors found that the species B. cereus and B. gottheilii showed degradative capacity for PE of 1.6 and 6.2%, for PET of 6.6 and 3.0%, and for PS of 7.4 and 5.8%, respectively. In this perspective, Shimpi et al. (2012) identified a biodegradative capacity of 10% for PS and PLA by the species P. aeruginosa.
The studies demonstrate that these microorganisms not only cause changes in the appearance of MPs but also enable conformational changes in their structures, especially in the functional groups, in addition to reducing the molecular weight and tensile properties, as seen in the work of Yuan et al. (2020) using Stenotrophomonas maltophilia.
Biodegradation of some plastic materials such as PVC and PET is challenging because PVC contains various additives in its composition, such as plasticizers, heat stabilizers, flame retardants, and/or biocides, resulting in a total weight of approximately 50–75% of the final material. PET, due to its high content of aromatic terephthalate elements, limits the mobility of the polymeric chains, making it highly resistant to degradation by bacteria (Kotova et al., 2021).
Thus, it can be observed that the respective studies addressed have shown a more significant effect on the degradation of modified plastics such as PS, PE, and PLA, which can be explained by these plastic materials presenting better biodegradability (Chandra and Singh, 2020; Yuan et al., 2020).
Initially, the biodegradation of MPs by bacteria occurs from the degradation of larger polymer structures to smaller particles, consequently, degradation into oligomers, dimers, and monomers, finally leading to mineralization through microbial biomass. Therefore, this decomposition is aided by a diversity of enzymes that produce intermediate products (Miri et al., 2022).
Such bacterial enzymes with the potential for biodegradation are demonstrated in the studies of Shahnawaz et al. (2019), Taniguchi et al. (2019), and Sol et al. (2020). These studies reinforce that extracellular enzymes are the most studied in the literature, such as esterases, lipases, lignin peroxidases, laccases, depolymerases, cutinases, and manganese peroxidases, as they increase the hydrophilicity of MPs, allowing the conversion of carboxylic and/or alcoholic groups and significantly improving bacterial attachment and the degradation of these compounds.
Thus, the biodegradation of microplastics by bacteria through enzymes is capable of digesting these particles into carbon sources, thus changing the structure, function, molecular weight, etc., making it less toxic to the environment. Therefore, the main products obtained after mineralization by biodegradation of microplastics by bacteria are CO2 and H2O molecules (Anand et al., 2023).
The biodegradation of MPs by bacteria has been significantly reported in several studies as a bioremediation factor for the elimination of these compounds in the environment, as plastic materials have been increasingly used extensively and indiscriminately, causing pollution in terrestrial and aquatic environments and even impacting the public and health due to its cumulative effect. Thus, promising biotechnological techniques such as biodegradation of MPs by bacteria, however, is a challenging approach, given its high cost, since the species of bacteria and their main enzymes involved in the degradation process is still considered a high-quality treatment. Therefore, studies have intensified so that this biotechnological tactic can be incorporated into practice in order to reduce its cost, be reproducible and apply it appropriately on a large scale. Therefore, even though it is a methodology with a future perspective, it is still necessary at present for there to be a worldwide economy of polymers so that it can be directed toward a green and sustainable environmental future.
5 Conclusion
The findings in this investigation highlighted that the genera Bacillus, Pseudomonas, Stenotrophomonas, and Rhodococcus, along with their corresponding species and enzymes—hydroxylases, lipases, proteases, esterases, hydrolases, and laccases—were the main ones reported in the scientific literature regarding the potential for MP biodegradation. This indicates that these microorganisms can act as functional agents in reducing MPs.
Therefore, studies like this emphasize the importance of conducting further research, especially considering the establishment of protocols with experiments under real environmental conditions. This is crucial so that, in the future, the interaction of bacteria with MPs holds practical and biotechnological value on a large scale, aiming to reduce the impacts caused by these compounds in the environment.
Data availability statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: PubMed, Medline, and LILACS.
Author contributions
MS: Writing – original draft, Writing – review & editing. KS: Formal Analysis, Investigation, Methodology, Validation, Writing – original draft, Writing – review & editing. FM: Writing – original draft, Writing – review & editing. LA: Writing – original draft, Writing – review & editing. RS: Writing – original draft, Writing – review & editing. RB: Writing – original draft, Writing – review & editing. MO: Supervision, Writing – original draft, Writing – review & editing.
Acknowledgments
The authors would like to thank Francisco Henrique Santana da Silva for the critical review of the manuscript and translation.
Funding Statement
The authors declare financial support was received for the research, authorship, and/or publication of this article. This research was funded by Coordination for the Improvement of Higher Education Personnel (CAPES/Brazil—Proc. no 88887.500819/2020-00).
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
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.
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Associated Data
This section collects any data citations, data availability statements, or supplementary materials included in this article.
Data Availability Statement
The datasets presented in this study can be found in online repositories. The names of the repository/repositories and accession number(s) can be found below: PubMed, Medline, and LILACS.