Skip to main content
Heliyon logoLink to Heliyon
. 2025 Jan 18;11(2):e42013. doi: 10.1016/j.heliyon.2025.e42013

New frontiers in CRISPR: Addressing antimicrobial resistance with Cas9, Cas12, Cas13, and Cas14

Ahmed SA Ali Agha a, Ali Al-Samydai b, Talal Aburjai a,
PMCID: PMC11791237  PMID: 39906792

Abstract

Background

The issue of antimicrobial resistance (AMR) poses a major challenge to global health, evidenced by alarming mortality predictions and the diminishing efficiency of conventional antimicrobial drugs. The CRISPR-Cas system has proven to be a powerful tool in addressing this challenge. It originated from bacterial adaptive immune mechanisms and has gained significant recognition in the scientific community.

Objectives

This review aims to explore the applications of CRISPR-Cas technologies in combating AMR, evaluating their effectiveness, challenges, and potential for integration into current antimicrobial strategies.

Methods

We conducted a comprehensive review of recent literature from databases such as PubMed and Web of Science, focusing on studies that employ CRISPR-Cas technologies against AMR.

Conclusions

CRISPR-Cas technologies offer a transformative approach to combat AMR, with potential applications that extend beyond traditional antimicrobial strategies. Integrating these technologies with existing methods could significantly enhance our ability to manage and potentially reverse the growing problem of antimicrobial resistance. Future research should address technical and ethical barriers to facilitate safe and effective clinical and environmental applications. This review underscores the necessity for interdisciplinary collaboration and international cooperation to harness the full potential of CRISPR-Cas technologies in the fight against superbugs.

Keywords: CRISPR-Cas, Superbugs, Anti-microbial resistance, Gene-editing, Antimicrobial therapy, Cas12, Cas13, Cas14

1. Introduction

1.1. The rising crisis of antimicrobial resistance and the urgent need for innovative solutions

The Nevada tragedy of 2016, when an untreated bacterial infection claimed a woman's life, highlighted antimicrobial resistance (AMR), a dangerous global health issue [1]. This case revealed the risks posed by AMR and highlighted its urgent need for attention. The event also demonstrated how quickly such an illness can spread, highlighting the importance of addressing this major public health significance. This life-threatening phenomenon, accelerated by the overuse of antibiotics and the evolution of multidrug-resistant "superbugs," is linked to roughly 700,000 deaths yearly [2]. Without intervention, this number could skyrocket to a staggering 10 million deaths by 2050 - surpassing cancer as humanity's leading cause of mortality [3,4]. Unfortunately, progress in new drugs has stalled, leaving healthcare professionals with few solutions for resistant diseases. International health organizations now demand inventive approaches; luckily, CRISPR-Cas technology provides hope. This precise and flexible gene-editing tool offers numerous potential applications, such as novel treatments against infections, diagnostics development, and fresh antimicrobial strategies – presenting us with an unprecedented opportunity to combat AMR effectively [5].

Given the increasing global threat of AMR, the effectiveness of traditional antibiotics is diminishing. This review comprehensively analyzes recent developments, their impact, and their challenges. It aims to guide future research and applications in addressing AMR.

1.2. Historical perspective

The ongoing battle against superbugs has primarily relied on conventional approaches such as the discovery of novel substances or modifications to current medications. However, it is frequently necessary to reassess these endeavors [6]. The emergence of CRISPR-Cas technology, a gene-editing technique derived from natural bacterial defense systems, represents unprecedented specificity, adaptability, and ease of use and notable progress in this ongoing battle [[7], [8], [9]] as illustrated in Table 1.

Table 1.

CRISPR-Cas strategies against antimicrobial resistance, summarizing key applications, advantages, challenges, and future potential.

Therapeutic Applications
Application CRISPR-Cas Strategy Advantages Challenges References
Targeted antimicrobial therapy Design CRISPR-Cas systems to selectively target and disable resistance-conferring genes or induce bacterial cell death High specificity, minimal impact on host microbiota Potential off-target effects, delivery challenges [19]
Bacterial genome engineering Use CRISPR-Cas to create engineered bacterial strains with reduced pathogenicity or susceptibility to antimicrobials Potential for studying virulence factors and resistance mechanisms Ethical concerns, unintended consequences [20]
Enhancing host immunity Utilize CRISPR-Cas to modify host immune cells, increasing their ability to recognize and eliminate antibiotic-resistant bacteria Boosts host defenses, potential for personalized therapy Ethical concerns, safety, and delivery challenges [21]
Bacterial persistence targeting Target and eliminate bacterial persister cells, which can survive antibiotic treatment and repopulate infections, using CRISPR-Cas systems Addresses a key factor in recurrent infections Delivery challenges, potential off-target effects [22]
Novel antimicrobial agent development Use CRISPR-Cas to create modified antimicrobial peptides or other novel agents, bypassing existing resistance mechanisms Opportunity for innovative, highly effective antimicrobial agents Cost, complexity of development, regulatory approval process [23]
Anti-virulence strategies Leverage CRISPR-Cas to target and disrupt bacterial virulence factors, reducing pathogenicity without exerting selective pressure for resistance development Minimizes selective pressure, potential for combination therapies Delivery challenges, potential off-target effects [24]
Phage therapy enhancement Employ CRISPR-Cas to modify bacteriophages, increasing their efficacy against resistant bacteria or enabling them to target specific bacterial strains Potential for highly specific, effective antimicrobial therapy Phage resistance, regulatory approval process [25]
CRISPR-Cas-based vaccines Develop CRISPR-engineered bacterial strains that can serve as live vaccines, stimulating the immune system without causing disease Potential for long-lasting, broad-spectrum protection Safety concerns, regulatory approval process [26]
Prophylactic CRISPR-Cas systems Introduce CRISPR-Cas systems into susceptible hosts or microbiota, providing resistance against incoming pathogens Prevention of infections, potential for reducing AMR spread Delivery challenges, ecological considerations [27]
Diagnostic Applications
Rapid diagnostics Use CRISPR-Cas tools to detect specific genetic signatures of resistant bacteria, enabling rapid identification of resistance profiles Speed, accuracy, potential for point-of-care diagnostics Development of robust, user-friendly diagnostic platforms [28]
Synthetic biology and biosensors Develop CRISPR-Cas-based biosensors to detect and respond to the presence of antimicrobial-resistant bacteria, triggering tailored responses Real-time detection and response, customizable Complexity of design, implementation challenges [29]
Environmental Applications
Environmental applications Utilize CRISPR-Cas to reduce the spread of resistance genes in agricultural and aquacultural settings, as well as in wastewater treatment Potential for large-scale impact on AMR spread Ethical and ecological concerns, regulatory approval process [30]
Combating resistance gene transfer Use CRISPR-Cas to disrupt plasmids, transposons, or other mobile genetic elements responsible for resistance gene transfer among bacteria Reduces horizontal gene transfer, limits AMR spread Delivery challenges, potential off-target effects [31]
Other Applications
Quorum sensing interference Employ CRISPR-Cas to disrupt quorum sensing, the communication system used by bacteria to coordinate behaviors, including resistance mechanisms Interferes with bacterial coordination and resistance Delivery challenges, potential off-target effects [32]
Biofilm disruption Use CRISPR-Cas to target and disrupt genes involved in biofilm formation, rendering bacteria more susceptible to antimicrobials Enhances antimicrobial efficacy, reduces chronic infections Delivery challenges, potential off-target effects [33]
Resistance mechanism investigation Employ CRISPR-Cas-mediated knockout screens to identify genes involved in antibiotic resistance, providing insights into the molecular basis of drug resistance Systematic, high-throughput investigation of gene function Time-consuming, labor-intensive [34]
CRISPR-Cas interference (CRISPRi) Use deactivated Cas9 (dCas9) to block transcription of resistance genes or essential bacterial genes, inhibiting bacterial growth and resistance Precise, reversible gene regulation Delivery challenges, potential off-target effects [35]

Footnote: CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats), AMR (Antimicrobial Resistance), dCas9 (deactivated Cas9).

CRISPR-Cas systems, including Cas9, Cas12, Cas13, and the recently identified Cas14, offer precise, adaptable, and promising tools for combating antimicrobial resistance [10]. Fig. 1 provides an overview of these CRISPR-Cas systems, highlighting their key characteristics and applications.

Fig. 1.

Fig. 1

Overview of CRISPR-Cas system types, highlighting the mechanisms, target specificities, and trans-cleavage activities of Cas9, Cas12, Cas13, and Cas14.

Cas9 is the most extensively studied and utilized, known for its ability to introduce targeted double-strand breaks in DNA guided by a single guide RNA (sgRNA) [11]. Cas12, particularly Cas12a, shares similar DNA-targeting capabilities but also provides the unique ability to cleave single-stranded DNA (ssDNA) nonspecifically after activation, a feature that enhances its utility in diagnostic applications [12]. Cas13 distinguishes itself by targeting RNA rather than DNA, making it a powerful tool for RNA-based diagnostics and therapies [13]. Cas14, notable for its small size, can target ssDNA with high specificity without requiring a PAM sequence, broadening its potential applications in precise genome editing [14].

These CRISPR-Cas systems are not only advancing targeted therapies that selectively eliminate resistant bacteria while preserving beneficial microbiota [[15], [16], [17]]. As a research tool for illuminating molecular mechanisms behind antimicrobial resistance and potential intervention targets for the future, CRISPR-Cas is changing the game in combatting this global crisis [18]. However, it has limitations; off-target effects must be closely monitored to ensure safe application alongside ethical considerations made through interdisciplinary collaboration.

2. Exploiting CRISPR-cas capabilities for neutralizing antibiotic-resistant bacteria

CRISPR-Cas technology has enabled the development of precise antibacterial strategies due to its extraordinary specificity and adaptability [36]. By customizing guide RNA molecules, CRISPR-Cas systems can target unique genetic sequences in resistant bacteria [37], leading to innovative applications such as disabling resistance genes in Klebsiella pneumoniae [38]. Gene disruption is a viable approach for utilizing CRISPR-Cas technology against antibiotic resistance by directly targeting and deactivating the responsible genes [39]. Studies have successfully illustrated this technique in Staphylococcus aureus [40], rendering it susceptible once more to antibiotics after gene inhibition. Additionally, sequence-specific bacterial erosion through CRISPR antimicrobial nucleases (CANs) effectively eradicates tough bacteria without disturbing beneficial microbiota via targeted DNA fragmentation [41]. The ongoing development of novel CRISPR variants, including Cas13 and base/prime editors, progressively broadens the scope for antibacterial applications with this transformative technology [42].

3. Exploiting bacterial mechanisms: leveraging the natural origins of CRISPR-Cas for antimicrobial applications

CRISPR-Cas systems have revolutionized bacterial defense, providing a robust natural adaptive immune response for bacteria and archaea [43]. This cutting-edge gene editing technology has been effectively utilized to combat antimicrobial resistance [44], using these precise techniques as an alternative to traditional antibiotics. To enhance bacteriophage therapy, researchers are leveraging CRISPR-Cas9 technology by engineering phages to deliver this system into bacterial cells, which precisely targets and disrupts drug resistance genes [45]. This approach selectively eradicates resistant bacteria while sparing beneficial microbes [45]. Additionally, these engineered phages can carry genetic payloads, such as biofilm-degrading enzymes, to further improve antimicrobial efficacy, representing a significant advancement in combating antibiotic-resistant infections [45]. Moreover, scientists can exploit bacterial quorum sensing by interfering with its communication pathways through CRISPR-Cas systems; targeting related genes weakens populations of bacteria, making them susceptible to existing antibiotics – offering potential combination therapies that could increase efficacy overall. Bikard and Barrangou (2017) discuss how various CRISPR-Cas systems, particularly Type I and II, can be engineered to selectively eliminate pathogenic bacteria by targeting and cleaving specific chromosomal sequences. Delivered through phages or phagemids, these systems have shown the ability to efficiently eradicate resistant bacteria or eliminate plasmids carrying antibiotic-resistance genes. This approach not only targets pathogens with high specificity but also minimizes the impact on beneficial microbiota, offering a promising alternative to traditional broad-spectrum antibiotics [46].

Earlier, Bikard et al. (2014) developed a CRISPR-Cas9-based antimicrobial approach that selectively targets and eliminates virulent strains of Staphylococcus aureus by destroying antibiotic resistance genes. This sequence-specific targeting was effective in vivo, as demonstrated in a mouse skin colonization model, highlighting the potential of CRISPR-Cas9 as a powerful tool against multidrug-resistant pathogens [47].

CRISPR-Cas is a versatile tool that can effectively address even the most challenging microbial issues, as shown in Table 2. They can be used in conjunction with other strategies, such as capitalizing on bacterial competition and microbiota modulation, unleashing the power of CRISPR-Cas systems [48] enables researchers to promote the growth of beneficial bacteria while suppressing the expansion of pathogens via targeted elimination of specific strains from their rivals - giving us unprecedented control over therapeutic agents without side effects like those associated with traditional treatments like antibiotics. As research advances, CRISPR-Cas holds substantial promise in addressing global antimicrobial resistance, necessitating careful consideration of its scientific impact and ethical issues, including ecological effects and Genetically Modified Organism (GMO) utilization.

Table 2.

CRISPR-Cas systems against bacterial antimicrobial resistance, detailing targeted genes, mechanisms, and advantages in combating resistant infections.

Bacterial Species CRISPR-Cas System Target Resistance Gene(s) Mechanism of Action Application Area Key Advantages Reference
Streptococcus pyogenes Cas9 mecA, blaZ Cleavage of resistance genes in target bacteria Treatment of MRSA infections High specificity, reduced off-target effects [49]
Francisella novicida Cas9 FPI genes Inhibition of intracellular growth and virulence Attenuation of pathogen virulence Potential vaccine development, improved understanding of virulence [50]
Campylobacter jejuni Cas9 blaOXA-61 Cleavage of resistance gene, reduction in β-lactam resistance Treatment of Campylobacter infections Improved antibiotic susceptibility, potential for reduced resistance development [51]
Streptococcus thermophilus Cas9 ermB, Targeting and destruction of antibiotic-resistant plasmids Treatment of Streptococcus infections Prevention of horizontal gene transfer, reduced resistance [52]
Klebsiella pneumoniae Cas3 blaKPC Selective elimination of carbapenem-resistant strains Treatment of carbapenem-resistant K. pneumoniae infections High specificity, reduced off-target effects, potential for combinatorial therapy [21]
Escherichia coli Cas3 blaNDM-1 Disruption of resistance genes, selective elimination of target bacteria Treatment of multidrug-resistant E. coli infections High specificity, efficient removal of resistant bacteria [53]
Pseudomonas aeruginosa Cas12a mexZ Targeting and cleavage of multidrug efflux pump genes Treatment of P. aeruginosa infections Improved antibiotic susceptibility, reduced resistance [54]
Enterococcus faecalis Cas9 vanA, vanB Targeting and destruction of vancomycin resistance genes Treatment of VRE infections High specificity, restoration of vancomycin sensitivity [55]
Neisseria meningitidis Cas9 penA Disruption of penicillin resistance gene, restoration of susceptibility Treatment of N. meningitidis infections Enhanced antibiotic efficacy, potential for combinatorial therapy [56]
Acinetobacter baumannii Cas12a blaOXA-23 Targeting and cleavage of carbapenem resistance gene Treatment of carbapenem-resistant A. baumannii infections High specificity, potential for combinatorial therapy [54]
Mycobacterium tuberculosis Cas9 rpoB, katG Disruption of rifampicin and isoniazid resistance genes Treatment of multidrug-resistant tuberculosis Enhanced treatment efficacy, potential for personalized therapy [57]
Lactobacillus plantarum Cas9 Various Use of bacteriocin-producing probiotic bacteria armed with CRISPR-Cas9 Probiotic therapy for gut infections Enhanced antimicrobial activity, improved gut health [58]

Footnote: MRSA (Methicillin-Resistant Staphylococcus aureus), FPI (Francisella Pathogenicity Island), blaZ (β-lactamase gene), ermB (erythromycin resistance gene), blaKPC (Klebsiella pneumoniae carbapenemase), blaNDM-1 (New Delhi metallo-β-lactamase 1), mexZ (multidrug efflux pump repressor gene), vanA and vanB (vancomycin resistance genes), penA (penicillin-binding protein gene), blaOXA-23 (oxacillinase gene), rpoB (RNA polymerase beta subunit gene), katG (catalase-peroxidase gene).

4. Revolutionizing diagnostics: CRISPR-Cas tools for rapid detection of antimicrobial resistance

The increasing problem of antimicrobial resistance (AMR) has prompted the development of efficient and precise diagnostic methods to identify and categorize resistant pathogens. CRISPR-Cas systems such as Cas9, Cas12a, and Cas13 have been utilized to create a variety of inventive diagnostics that specifically target resistance genes in an array of microbes [38]. These technologies boast multiple benefits when compared with standard diagnosis techniques, including swift analysis timeframes, heightened accuracy, and potential trial for portability and ease of use [38]. Several CRISPR-Cas-based tools have been developed to identify resistant bacteria strains as mentioned in Table 3 - SHERLOCK, DETECTOR, or the Cas13a assay are employed for detection in E. coli, S. aureus & K. pneumonia, respectively [38,59,60]. Similarly, other tests like those based on Cas12a & 13 can be used to swiftly spot genetic markers associated with drug resistance in N. gonorrhea, M. tuberculosis & P. aeruginosa [[61], [62], [63]]. Different analytical methodologies may be adopted depending on need – lateral flow strips, fluorometric testing, real-time fluorescence readouts, or electrochemical reactions are some examples, amongst many more available options offering flexibility while choosing a test type. Recent developments in this field have expanded the scope by offering specialized diagnostic measures towards Enterococcus species, Salmonella enterica, Staphylococcus epidermidis, etc. [[64], [65], [66], [67], [68]].

Table 3.

CRISPR-Cas diagnostics for antimicrobial resistance, detailing methods, targets, and key advantages in rapid and precise detection.

Diagnostic Tool Target Pathogen Target Resistance Gene(s) Detection Method Key Advantages Reference
CRISPR-Chip Staphylococcus epidermidis mecA Electrical readout Label-free, sensitive, high specificity, low sample preparation [64]
DETECTR Staphylococcus aureus mecA Fluorometric detection High specificity, quantitative analysis, low-cost [60]
CRISPR-Cas12a assay Neisseria gonorrhoeae 23S rRNA Lateral flow strip Rapid, point-of-care diagnosis, specific, and sensitive [63]
Cas13-based RT-LAMP Mycobacterium tuberculosis rpoB Real-time fluorescence Simultaneous detection of multiple resistance genes, high-throughput [62]
Cas9-based PCR-free assay Pseudomonas aeruginosa bla_OXA, bla_VIM, bla_IMP Fluorescence readout PCR-free, rapid, sensitive, and specific [61]
Cas13a-based assay Klebsiella pneumoniae bla_KPC Fluorescence readout High sensitivity, adaptable to various resistance genes [59]
Cas13-based electrochemical detection Escherichia coli bla_TEM, bla_SHV, bla_CTX-M Electrochemical readout Label-free, portable, sensitive, and specific [67]
Cas12a-based paper-based assay Salmonella enterica qnrS, bla_CTX-M Colorimetric detection Rapid, low-cost, portable, easy-to-use [69]
Cas12a-based portable smartphone detection Campylobacter jejuni tet(O) Smartphone readout Rapid, portable, easy-to-use, low-cost [68]
SHERLOCK Escherichia coli bla_CTX-M Lateral flow strip Rapid, sensitive, specific, easy-to-use [38]
Cas12a-based multiplex detection Enterococcus species vanA, vanB Lateral flow strip Simultaneous detection of multiple resistance genes, rapid, easy-to-use [65]

Footnote: CRISPR (Clustered Regularly Interspaced Short Palindromic Repeats), RT-LAMP (Reverse Transcription Loop-Mediated Isothermal Amplification), PCR (Polymerase Chain Reaction), SHERLOCK (Specific High-sensitivity Enzymatic Reporter unLOCKing), mecA (methicillin resistance gene), bla (β-lactamase gene), rpoB (RNA polymerase beta subunit gene), 23S rRNA (23S ribosomal RNA), tet(O) (tetracycline resistance gene).

4.1. Innovations in biosensing: the role of CRISPR-Cas systems in modern diagnostics

Integrating CRISPR/Cas systems into biosensing technologies significantly advances the rapid, specific, and sensitive detection of pathogenic bacteria and viruses [12]. This emerging field combines the precision of CRISPR-based gene editing with the versatility of biosensors, offering new solutions for food safety, clinical diagnostics, and environmental monitoring.

4.2. Nanomaterials-assisted CRISPR/Cas detection

One of the promising developments in this area is using nanomaterials to enhance CRISPR/Cas-based detection platforms. These nanomaterials can improve the sensitivity and specificity of CRISPR-based biosensors by facilitating the immobilization of CRISPR components or enhancing signal transduction [70]. The conducted review by Zhao et al. (2023) on nanomaterials-assisted CRISPR/Cas detection highlights the potential of nanomaterials-assisted CRISPR/Cas detection systems in enhancing food safety [71]. The integration of nanomaterials, such as quantum dots, gold nanoparticles, and carbon nanomaterials, with CRISPR/Cas biosensors significantly improves detection sensitivity, specificity, and versatility across various food safety applications [71], including identifying foodborne pathogens, toxins, and genetically modified organisms [71].

Also, a study by Peng et al. developed a novel nano-sieve device integrated with CRISPR/Cas technology to detect methicillin-resistant Staphylococcus aureus (MRSA) [72]. The device uses a pneumatically-regulated chamber and magnetic beads to concentrate bacterial cells, achieving a 15-fold concentration factor and a limit of detection (LOD) of approximately 100 CFU/mL [72]. This approach significantly enhances the sensitivity and efficiency of CRISPR-based biosensing, offering a rapid and effective solution for point-of-care diagnostics in resource-limited settings.

4.3. CRISPR/Cas systems beyond nucleic acids

Traditionally, CRISPR-Cas systems have been employed for detecting nucleic acids, but recent advancements have expanded their use to non-nucleic acid targets [73]. This diversification is driven by the system's adaptability and the development of novel CRISPR/Cas-based biosensors capable of detecting proteins, small molecules, and other analytes [74]. The conducted study by Quan et al. developed the FLASH (Finding Low Abundance Sequences by Hybridization) system to multiplex the detection of AMR genes [75]. By utilizing CRISPR/Cas9 technology, FLASH enhances the enrichment of target DNA sequences by up to five orders of magnitude, allowing for the identification of AMR genes even at sub-attomolar concentrations [75]. This system enables the simultaneous detection of multiple resistance markers in clinical samples, such as respiratory fluids and dried blood spots, making it a valuable tool for managing multidrug-resistant infections [75]. Also, the study by Suea-Ngam et al. introduced an innovative amplification-free CRISPR/Cas12a-based electrochemical biosensor specifically designed to detect MRSA [60]. This system employs a custom-designed guide RNA targeting the mecA gene of MRSA, combined with silver metallization, to achieve highly sensitive detection. The biosensor demonstrated an impressive detection limit of 3.5 fM, and was successfully applied in human serum, positioning it as a promising tool for field-deployable diagnostics in managing antimicrobial resistance [60].

4.4. Ultrasensitive detection of pathogens

Combining CRISPR/Cas systems with advanced fluorescent biosensing technologies has created highly sensitive platforms capable of detecting pathogens at very low concentrations.

For instance, the study conducted by Li et al. developed an electrochemical biosensor using CRISPR/Cas12a to detect Listeria monocytogenes, a pathogen associated with foodborne illnesses and resistance [76]. The biosensor displayed an LOD of 26 CFU/mL and proved effective in both spiked and natural food samples, showcasing its potential for rapid and sensitive detection of AMR pathogens in real-world settings [76].

Another study conducted by Wei et al. introduced a CRISPR/Cas12a-based magnetic relaxation switching (C-MRS) biosensor for the amplification-free detection of MRSA [29]. The biosensor achieved an LOD of 16 CFU/mL in food samples, demonstrating high sensitivity and accuracy without the need for nucleic acid pre-amplification, which is crucial for reducing false positives in AMR detection [29].

4.5. Isothermal amplification and CRISPR/Cas integration

Another promising approach involves integrating isothermal amplification techniques with CRISPR/Cas systems. This combination allows for the rapid and amplification-free detection of nucleic acids, simplifying the diagnostic process and reducing the need for complex laboratory equipment. For instance, the conducted study by Cao et al. developed a CRISPR/Cas12a-based platform integrated with loop-mediated isothermal amplification (LAMP) to detect MRSA rapidly [65]. The system demonstrated a high sensitivity with a limit of detection (LOD) of 1 aM (∼1 copy μL−1) and showed 100 % specificity and sensitivity in clinical bacterial isolates within approximately 80 min [65]. This integration allows for effective point-of-care diagnostics in identifying AMR pathogens. Also, Xu et al. developed a method combining loop-mediated isothermal amplification (LAMP) with CRISPR/Cas12a and a lateral flow immunochromatographic strip to detect carbapenem-resistant Klebsiella pneumoniae and New Delhi metallo-β-lactamase (NDM) genes [77]. This assay detects bacteria directly in samples with a concentration as low as 3 × 105 CFU/mL without bacterial culture, offering a rapid and sensitive solution for identifying resistant strains in clinical settings [77].

5. Precision medicine and CRISPR-Cas: an integrated strategy for addressing antimicrobial resistance

The integration of precision medicine and CRISPR-Cas technology can revolutionize antimicrobial therapy in the fight against growing microbial resistance [38]. Addressing a tailored approach, precision medicine allows us to target resistant pathogens while preserving essential elements of the host's microbiome [25]. Using sequence-specific targeting, CRISPR-Cas systems can be a versatile platform for developing such therapies, selectively eliminating resilient bacteria, and reducing the risk of dysbiosis [24]. One promising strategy is utilizing bacteriophages with these systems to create highly specific antimicrobial agents that eradicate resistant microbes without exhibiting any drawbacks associated with traditional antibiotics [78]; an example is successful treatment using personalized phage cocktails for multidrug-resistant Acinetobacter baumannii infections [79]. Furthermore, gene editing through CRISPR-Cas9 may also be employed by disabling resistance genes on microorganisms like MRSA (methicillin-resistant Staphylococcus aureus) [52], this increases their susceptibility to current antibiotics, enhancing their effectiveness and reducing the demand for new drug research and development.

6. Interdisciplinary collaboration: advancing CRISPR-Cas solutions against antimicrobial resistance

Organizations like IGI and IPATH exemplify the benefits of multi-disciplinary collaboration, merging basic and applied research to innovate solutions. Computational tools such as CRISPR-offender enhance gene editing safety and facilitate translational medicine by predicting off-target effects [80]. In bioengineering, developing delivery systems like lipid-polymer hybrid nanoparticles is crucial for the clinical application of CRISPR Cas9 therapies as it has great potential for improving the delivery efficiency and stability of CRISPR/Cas9. These hybrid systems can provide better control over particle size, loading capacity, and release profiles, making them suitable for various therapeutic applications [81]. Educational initiatives, such as “CRISPR in the Classroom,” are critical in training researchers to appreciate the importance of interdisciplinary collaboration [82]. Moreover, global partnerships, like the “CRISPR for Health” consortium, leverage open science to accelerate development by integrating worldwide scientific expertise [83].

7. CRISPR-Cas applications in agriculture, aquaculture, and biocontrol: advancing sustainability and productivity

The CRISPR-Cas system is a revolutionary tool that enables the modification of organisms across various industries, such as agriculture, aquaculture, and biocontrol [84]. This technology provides numerous advantages over traditional methods through gene editing to boost resistance or immunity. Regarding crop production, it has been used to create wheat and rice varieties with enhanced tolerance against diseases like Lr34 and Xa21, respectively [85,86]. Consequently, farmers can reduce their reliance on chemical pesticides and adopt more sustainable farming practices. Also, in livestock breeding, animals have been given increased protection from porcine reproductive respiratory syndrome (PRRS) via targeting the CD163 gene [87], along with bovine spongiform encephalopathy (BSE) by focusing on the PRNP gene [88]- ultimately leading to better animal health and productivity. In addition, bacterial biocontrol agents using CRISPR-Cas systems like Cas9 and Cas12, which effectively target pathogens while editing genes related to resistance, e.g., cA, blaNDM-1, thus providing an environmentally friendly alternative chemical pesticide usage, contributing towards sustainable pest management strategies. In aquaculture, the CRISPR-Cas technology has been employed to enhance the resilience and disease resistance of various strains, improving their health and productivity. For instance, tlr5 gene editing was implemented on tilapia [89], and saCas9 gene editing on Atlantic salmon [90]. Additionally, RPS3 and MyD88 genes were targeted in Pacific oysters for enhanced immune response [91], while shrimp resistance against white spot syndrome virus (WSSV) was increased by modifying the WSSV gene itself [92]. This breakthrough of biotechnology can even be utilized further to engineer probiotic bacteria capable of combating pathogens such as Streptococcus and Vibrio cholerae through targeting respective genes like LytA, ctxA, and ctxB [93,94] leading towards a better aquatic environment with improved water quality - consequently promoting sustainable aquacultural practices. CRISPR-Cas applications have enhanced production efficiencies while concurrently promoting environmental conservation, as illustrated in Table 4; it is therefore clear that this technology has significantly contributed to agriculture/aquaculture advancement.

Table 4.

CRISPR-Cas in agriculture and aquaculture, targeting antimicrobial resistance, boosting productivity, and promoting sustainability.

Application Organism Target Resistance Gene(s) CRISPR-Cas System Used Outcome of Modification Key Advantages Reference
Agriculture Wheat Lr34 Cas9 Disease-resistant crop varieties Reduced need for chemical pesticides [85]
Rice Xa21 Cas9 Disease-resistant crop varieties Reduced need for chemical pesticides [86]
Pigs CD163 Cas9 PRRS-resistant pigs Improved animal health and productivity [87]
Bacterial biocontrol agents MecA, blaNDM-1 Cas9, Cas12a Targeted killing of pathogens Eco-friendly alternative to chemical pesticides [95]
Cattle PRNP Cas9 BSE-resistant cattle Improved animal health and productivity [88]
Aquaculture Probiotic bacteria ctxA, ctxB Cas9 Lysis of V. cholerae Improved water quality and fish health [93]
Probiotic bacteria LytA Cas9, Cas12a Lysis of Streptococcus Improved water quality and fish health [94]
Atlantic salmon saCas9 Cas9 Disease-resistant fish strains Improved fish health and productivity [90]
Pacific oyster MyD88 Cas9 Enhanced immune response Increased yield and reduced disease outbreaks [91]
Shrimp WSSV Cas9 Enhanced resistance to WSSV Increased yield and reduced disease outbreaks [92]
Tilapia tlr5 Cas9 Disease-resistant fish strains Improved fish health and productivity [89]

Footnote: Lr34 (Leaf rust resistance gene 34), Xa21 (bacterial blight resistance gene), CD163 (cluster of differentiation 163), PRRS (Porcine Reproductive and Respiratory Syndrome), PRNP (prion protein gene), BSE (Bovine Spongiform Encephalopathy), mecA (methicillin resistance gene), blaNDM-1 (New Delhi metallo-β-lactamase 1), ctxA and ctxB (cholera toxin genes), LytA (autolysin gene), MyD88 (myeloid differentiation primary response 88 gene), WSSV (White Spot Syndrome Virus), tlr5 (toll-like receptor 5 gene).

8. Challenges and opportunities

Technical issues such as off-target effects and unintended consequences can be addressed through improved specificity, CRISPR-Cas systems design [96], and enhanced delivery methods like nanoparticles [97]. To attenuate the emergence of resistance to these therapies, combinatorial treatments should be utilized alongside consistent updating of targeting sequences [98]. For more specific bacterial species targeting, novel CRISPR-Cas systems and strategies may also be explored [99]. Regulatory concerns, including safety, measures for human applications, misuse risk assessment or dual-use implications, necessitate rigorous testing protocols with transparent communication channels, ethical guidelines pushed forth by international collaboration and oversight [99], strict regulations put in place [100], comprehensive risk assessments conducted [101]. Economic factors such as high-cost complexity for research & development associated with antimicrobials market entry rewards, extended patent protection grants, funding incentives [[102], [103], [104]] should all come into play as well. Additionally, resources need to be allocated equitably across low-income countries so that they can contribute meaningfully towards tackling this global issue. Collaboration and data sharing are integral to combating antimicrobial resistance but raise several challenges. To address these issues, interdisciplinary research networks and data repositories should be established [105] with collaborative licensing agreements and open access policies in place [106]. Furthermore, public awareness is essential to successfully adopting CRISPR-Cas technologies; thus, educational initiatives and transparent public engagement through outreach programs should be implemented while considering ethical implications [107]. Through such measures as mentioned in Table 5, we can move closer to addressing antimicrobial resistance with CRISPR-Cas technology.

Table 5.

Challenges and opportunities in CRISPR-Cas applications against antimicrobial resistance, covering technical, regulatory, ethical, economic, and collaborative aspects.

Challenge Category Specific Challenge Opportunities and Solutions References
Technical Delivery of CRISPR-Cas components to target cells Development of novel delivery methods, e.g., nanoparticles [97]
Off-target effects and unintended consequences Improved specificity and design of CRISPR-Cas systems [108]
Rapid emergence of resistance to CRISPR-Cas therapies Combinatorial therapies, continuous updating of targeting sequences [98]
Difficulty in targeting certain bacterial species Exploration of novel CRISPR-Cas systems and targeting strategies [109]
Regulatory and Ethical Safety concerns regarding human and environmental applications Rigorous testing, transparent communication, and ethical guidelines [99]
Potential for misuse or dual-use concerns International collaboration and oversight, strict regulations [100]
Ethical implications of altering microbial ecosystems Comprehensive risk assessment, ecological impact evaluation [101]
Economic and Funding Market and financial challenges for antimicrobial development Market entry rewards, extended patent protection [102]
Limited resources for low-income countries Global partnerships, allocation of resources and funding [104]
High cost and complexity of CRISPR-Cas research and development Public-private partnerships, research grants, and funding incentives [103]
Collaboration and Data Sharing Intellectual property issues and licensing Collaborative licensing agreements, open access policies [106]
Need for cross-disciplinary collaboration and data sharing Establishment of interdisciplinary research networks and data repositories [105]
Public Awareness and Education Limited public understanding of CRISPR-Cas and antimicrobial resistance Educational initiatives, public engagement, and outreach [110]
Public mistrust in genetic engineering and its applications Transparency, public dialogue, and ethical considerations [107]

9. Future perspectives

To guarantee a healthier future for all moving forward, we must blend CRISPR-Cas with emerging technological tools like artificial intelligence (AI) and machine learning (ML) [111]. By integrating the approaches, we can improve our odds of swiftly developing novel antimicrobial solutions. These technologies can enhance the precision and efficiency of CRISPR applications by optimizing guide RNA design, improving target specificity, and minimizing off-target effects. AI and ML can expedite the analysis and interpretation of extensive genetic datasets, accelerating the development of novel antimicrobial strategies and enabling personalized treatments based on individual genetic profiles. However, this integration also necessitates careful ethical considerations. Issues such as genetic data privacy [112,113], informed consent for genetic modifications [114,115], and the potential for algorithmic biases must be rigorously addressed [[116], [117], [118]].

In addition, recent advancements such as seekRNA and bridgeRNA introduce programmable RNA-guided DNA recombination systems that bypass the need for double-strand breaks, a typical limitation in CRISPR-based technologies [119,120]. These systems, derived from bacterial insertion sequences, employ single RNA molecules (seekRNA or bridgeRNA) to guide a recombinase to specific DNA sites, enabling precise genetic rearrangement, insertion, and excision [119,120]. SeekRNA and bridgeRNA can be reprogrammed to target specific genomic sites, providing a versatile platform for large-scale DNA manipulations with high specificity and minimal errors. This could have profound implications for AMR by allowing targeted excision or replacement of resistance genes, while their precision minimizes the risk of off-target effects, enhancing safety in complex microbial and human systems.

Advanced CRISPR-based gene replacement strategies, such as homology-directed repair (HDR), non-homologous end joining (NHEJ), and PASTE (Programmable Addition via Site-specific Targeting Elements), also hold promise for addressing AMR at the genomic level [[121], [122], [123]]. HDR utilizes a repair template to replace resistance genes with susceptible variants, though it remains technically challenging in bacteria [122]. NHEJ does not rely on a repair template; instead, it repairs DNA double-strand breaks by directly joining the broken DNA ends. This method is more error-prone and typically introduces small insertions or deletions at the break site. In the context of AMR, NHEJ can be used to disrupt resistance genes rather than replace them [123]. PASTE, combining CRISPR-Cas9 with integrase enzymes, enables site-specific DNA insertion, which could theoretically be used to remove or inactivate resistance genes directly [121].

Beyond these methods, other complex technologies offer innovative options for bacterial genome editing. Recombineering via RedET, for example, leverages homologous recombination to introduce large genetic sequences, potentially allowing for targeted replacement of entire resistance-related clusters in bacterial genomes [124]. Furthermore, CRISPR-associated transposon systems (CAST) offer a novel approach, as they integrate genes without relying on DNA repair pathways. CAST could be particularly valuable in bacterial applications, as it enables precise insertion of resistance-susceptibility genes without introducing double-strand breaks, a limitation in traditional CRISPR methods [125].

In agriculture and aquaculture, CRISPR-Cas could be employed to limit the use of antibiotics by developing disease-resistant crops and livestock [126,127]. Future studies should investigate CRISPR's impact on microbial communities and the environment, ensuring ecological safety. Regulatory and ethical considerations will be crucial for clinical, agricultural, and ecological applications of CRISPR, requiring policymakers and scientists to collaborate on global standards to manage these technologies responsibly.

Although there is currently limited data, CRISPR-Cas14a, a highly compact protein capable of cleaving ssDNA, holds significant potential for combating AMR. Its ability to target ssDNA without sequence restriction makes it an ideal tool for disrupting mobile genetic elements, such as plasmids, that often carry AMR genes. By cleaving ssDNA intermediates during plasmid replication or horizontal gene transfer, Cas14a could effectively prevent the spread of resistance genes. Additionally, its sequence-independent activity allows broad-spectrum targeting across diverse bacterial species, offering a promising avenue for future AMR interventions.

10. Conclusion

CRISPR-Cas technologies have emerged as pivotal tools in combating antimicrobial resistance (AMR), offering precise, adaptable interventions that may revolutionize traditional antimicrobial strategies. This review elucidates the efficacy of CRISPR-Cas in gene editing to directly target resistance genes, develop novel antimicrobial agents, and enhance diagnostics, potentially mitigating AMR impacts across clinical, agricultural, and environmental domains. Despite the promise, deploying CRISPR-Cas systems faces substantial challenges, including technical limitations such as off-target effects, complex delivery mechanisms, and robustness of gene editing outcomes. Furthermore, ethical concerns, regulatory compliance, and economic accessibility remain significant hurdles to their global application. Future research should prioritize refining CRISPR specificity and delivery techniques, establishing comprehensive regulatory standards, and fostering global cooperation to ensure equitable access to this technology. It is essential to address these issues to utilize CRISPR-Cas capabilities against AMR effectively. This has the potential to impact infectious disease management and public health greatly.

CRediT authorship contribution statement

Ahmed S.A. Ali Agha: Writing – review & editing, Writing – original draft, Conceptualization. Ali Al-Samydai: Writing – review & editing. Talal Aburjai: Writing – original draft, Conceptualization.

Ethics approval and consent to participate

Not applicable. This article contains no studies performed by authors with human participants or animals. It is a comprehensive review, synthesizing insights from previously published articles.

Data availability statement

No data was used for the research described in the article.

Declaration

We confirm that this manuscript is not under consideration elsewhere and that all authors have consented to its submission.

Declaration of competing interest

The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.

References

  • 1.O'Malley P.A. Clin. Nurse Spec.; 2020. A Most Dangerous Outbreak: New Delhi Metallo-β-Lactamase-1 Carbapenemase-Producing Enterobacteriaceae; p. 34. [DOI] [PubMed] [Google Scholar]
  • 2.Baekkeskov E., Rubin O., Munkholm L., Zaman W. Antimicrobial resistance as a global health crisis. Oxford Research Encyclopedia of Politics. 2020:1–24. [Google Scholar]
  • 3.Lesho E.P., Laguio-Vila M. The slow-motion catastrophe of antimicrobial resistance and practical interventions for all prescribers. Mayo Clin. Proc., Elsevier. 2019:1040–1047. doi: 10.1016/j.mayocp.2018.11.005. [DOI] [PubMed] [Google Scholar]
  • 4.de Kraker M.E., Stewardson A.J., Harbarth S. Will 10 million people die a year due to antimicrobial resistance by 2050? PLoS Med. 2016;13 doi: 10.1371/journal.pmed.1002184. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 5.Neil K., Allard N., Roy P., Grenier F., Menendez A., Burrus V., Rodrigue S. High‐efficiency delivery of CRISPR‐Cas9 by engineered probiotics enables precise microbiome editing. Mol. Syst. Biol. 2021;17 doi: 10.15252/msb.202110335. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 6.McClung Dylan J., Du Y., Antonich Dominic J., Bonet B., Zhang W., Traxler Matthew F. Harnessing rare actinomycete interactions and intrinsic antimicrobial resistance enables discovery of an unusual metabolic inhibitor. mBio. 2022;13 doi: 10.1128/mbio.00393-22. 00322. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 7.McAlpine K. Massey University; Albany, New Zealand: 2021. Virtue Ethics as the Basis of Aotearoa New Zealand's Response to Crispr Cas-9: a Framework and Defence: a Thesis Presented in Partial Fulfilment of the Requirements for the Degree of Master of Arts in Philosophy at Massey University. [Google Scholar]
  • 8.Wang M., Zhang R., Li J. CRISPR/cas systems redefine nucleic acid detection: principles and methods. Biosens. Bioelectron. 2020;165 doi: 10.1016/j.bios.2020.112430. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 9.Zhang D., Hussain A., Manghwar H., Xie K., Xie S., Zhao S., Larkin R.M., Qing P., Jin S., Ding F. Genome editing with the CRISPR‐Cas system: an art, ethics and global regulatory perspective. Plant Biotechnol. J. 2020;18:1651–1669. doi: 10.1111/pbi.13383. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10.Agarwal C. A review: CRISPR/Cas12-mediated genome editing in fungal cells: advancements, mechanisms, and future directions in plant-fungal pathology. Sci. Res. 2023 [Google Scholar]
  • 11.Ran F.A., Cong L., Yan W.X., Scott D.A., Gootenberg J.S., Kriz A.J., Zetsche B., Shalem O., Wu X., Makarova K.S., Koonin E.V., Sharp P.A., Zhang F. In vivo genome editing using Staphylococcus aureus Cas9. Nature. 2015;520:186–191. doi: 10.1038/nature14299. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12.Jia Z., Zhang Y., Zhang C., Wei X., Zhang M. Biosensing intestinal alkaline phosphatase by pregnancy test strips based on target-triggered CRISPR-cas12a activity to monitor intestinal inflammation. Anal. Chem. 2023;95:14111–14118. doi: 10.1021/acs.analchem.3c03099. [DOI] [PubMed] [Google Scholar]
  • 13.Blanchard E.L., Vanover D., Bawage S.S., Tiwari P.M., Rotolo L., Beyersdorf J., Peck H.E., Bruno N.C., Hincapie R., Michel F., Murray J., Sadhwani H., Vanderheyden B., Finn M.G., Brinton M.A., Lafontaine E.R., Hogan R.J., Zurla C., Santangelo P.J. Treatment of influenza and SARS-CoV-2 infections via mRNA-encoded Cas13a in rodents. Nat. Biotechnol. 2021;39:717–726. doi: 10.1038/s41587-021-00822-w. [DOI] [PubMed] [Google Scholar]
  • 14.Harrington L.B., Burstein D., Chen J.S., Paez-Espino D., Ma E., Witte I.P., Cofsky J.C., Kyrpides N.C., Banfield J.F., Doudna J.A. Programmed DNA destruction by miniature CRISPR-Cas14 enzymes. Science. 2018;362:839–842. doi: 10.1126/science.aav4294. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15.Barrangou R., Notebaart R.A. CRISPR-directed microbiome manipulation across the food supply chain. Trends Microbiol. 2019;27:489–496. doi: 10.1016/j.tim.2019.03.006. [DOI] [PubMed] [Google Scholar]
  • 16.Jaumaux F., Gómez de Cadiñanos L.P., Gabant P. In the age of synthetic biology, will antimicrobial peptides be the next generation of antibiotics? Antibiotics. 2020;9:484. doi: 10.3390/antibiotics9080484. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17.Strich J.R., Chertow D.S. CRISPR-Cas biology and its application to infectious diseases. J. Clin. Microbiol. 2019;57 doi: 10.1128/JCM.01307-18. 01318. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18.Kang Y.K., Kwon K., Ryu J.S., Lee H.N., Park C., Chung H.J. Nonviral genome editing based on a polymer-derivatized CRISPR nanocomplex for targeting bacterial pathogens and antibiotic resistance. Bioconjugate Chem. 2017;28:957–967. doi: 10.1021/acs.bioconjchem.6b00676. [DOI] [PubMed] [Google Scholar]
  • 19.Uribe R.V., Rathmer C., Jahn L.J., Ellabaan M.M.H., Li S.S., Sommer M.O.A. Bacterial resistance to CRISPR-Cas antimicrobials. Sci. Rep. 2021;11 doi: 10.1038/s41598-021-96735-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 20.He Y.-Z., Kuang X., Long T.-F., Li G., Ren H., He B., Yan J.-R., Liao X.-P., Liu Y.-H., Chen L., Sun J. Re-engineering a mobile-CRISPR/Cas9 system for antimicrobial resistance gene curing and immunization in Escherichia coli. J. Antimicrob. Chemother. 2022;77:74–82. doi: 10.1093/jac/dkab368. [DOI] [PubMed] [Google Scholar]
  • 21.Wu Y., Battalapalli D., Hakeem M.J., Selamneni V., Zhang P., Draz M.S., Ruan Z. Engineered CRISPR-Cas systems for the detection and control of antibiotic-resistant infections. J. Nanobiotechnol. 2021;19:1–26. doi: 10.1186/s12951-021-01132-8. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 22.Alabresm A., Chandler S.L., Benicewicz B.C., Decho A.W. Nanotargeting of resistant infections with a special emphasis on the biofilm landscape. Bioconjugate Chem. 2021;32:1411–1430. doi: 10.1021/acs.bioconjchem.1c00116. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 23.Getahun Y.A., Ali D.A., Taye B.W., Alemayehu Y.A. Multidrug-resistant microbial therapy using antimicrobial peptides and the CRISPR/Cas9 system. Vet. Med. Res. Rep. 2022:173–190. doi: 10.2147/VMRR.S366533. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 24.Meile S., Du J., Dunne M., Kilcher S., Loessner M.J. Engineering therapeutic phages for enhanced antibacterial efficacy. Curr. Opin. Virol. 2022;52:182–191. doi: 10.1016/j.coviro.2021.12.003. [DOI] [PubMed] [Google Scholar]
  • 25.Nath A., Bhattacharjee R., Nandi A., Sinha A., Kar S., Manoharan N., Mitra S., Mojumdar A., Panda P.K., Patro S. Phage delivered CRISPR-Cas system to combat multidrug-resistant pathogens in gut microbiome. Biomed. Pharmacother. 2022;151 doi: 10.1016/j.biopha.2022.113122. [DOI] [PubMed] [Google Scholar]
  • 26.Guo N., Liu J.-B., Li W., Ma Y.-S., Fu D. The power and the promise of CRISPR/Cas9 genome editing for clinical application with gene therapy. J. Adv. Res. 2022;40:135–152. doi: 10.1016/j.jare.2021.11.018. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 27.Price Valerie J., McBride Sara W., Hullahalli K., Chatterjee A., Duerkop Breck A., Palmer Kelli L. Enterococcus faecalis CRISPR-cas is a robust barrier to conjugative antibiotic resistance dissemination in the murine intestine. mSphere. 2019;4 doi: 10.1128/msphere.00464-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 28.Yang H., Zhang Y., Teng X., Hou H., Deng R., Li J. CRISPR-based nucleic acid diagnostics for pathogens. TrAC, Trends Anal. Chem. 2023 doi: 10.1016/j.trac.2023.116980. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 29.Wei L., Wang Z., Wu L., Chen Y. CRISPR/Cas12a-based magnetic relaxation switching biosensor for nucleic acid amplification-free and ultrasensitive detection of methicillin-resistant Staphylococcus aureus. Biosens. Bioelectron. 2023;222 doi: 10.1016/j.bios.2022.114984. [DOI] [PubMed] [Google Scholar]
  • 30.Liu R., Han G., Li Z., Cun S., Hao B., Zhang J., Liu X. Bacteriophage therapy in aquaculture: current status and future challenges. Folia Microbiol. 2022;67:573–590. doi: 10.1007/s12223-022-00965-6. [DOI] [PubMed] [Google Scholar]
  • 31.Horne T., Orr V.T., Hall J.P. How do interactions between mobile genetic elements affect horizontal gene transfer? Curr. Opin. Microbiol. 2023;73 doi: 10.1016/j.mib.2023.102282. [DOI] [PubMed] [Google Scholar]
  • 32.Qin S., Xiao W., Zhou C., Pu Q., Deng X., Lan L., Liang H., Song X., Wu M. Pseudomonas aeruginosa: pathogenesis, virulence factors, antibiotic resistance, interaction with host, technology advances and emerging therapeutics. Signal Transduct. Targeted Ther. 2022;7:199. doi: 10.1038/s41392-022-01056-1. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 33.Wang Y., Yang J., Sun X., Li M., Zhang P., Zhu Z., Jiao H., Guo T., Li G. CRISPR-cas in acinetobacter baumannii contributes to antibiotic susceptibility by targeting endogenous AbaI. Microbiol. Spectr. 2022;10 doi: 10.1128/spectrum.00829-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 34.Skripova V., Serebriiskii I., Abramova Z., Astsaturov I., Kiyamova R. CRISPR/Cas9 technique for identification of genes regulating oxaliplatin resistance of pancreatic cancer cell line. BioNanoScience. 2017;7:97–100. doi: 10.1007/s12668-016-0272-3. [DOI] [Google Scholar]
  • 35.Yao S., Wei D., Tang N., Song Y., Wang C., Feng J., Zhang G. Efficient suppression of natural plasmid-borne gene expression in carbapenem-resistant Klebsiella pneumoniae using a compact CRISPR interference system. Antimicrob. Agents Chemother. 2022;66 doi: 10.1128/aac.00890-22. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 36.de la Fuente-Núñez C., Lu T.K. CRISPR-Cas9 technology: applications in genome engineering, development of sequence-specific antimicrobials, and future prospects. Integr. Biol. 2017;9:109–122. doi: 10.1039/c6ib00140h. [DOI] [PubMed] [Google Scholar]
  • 37.Klompe S.E., Vo P.L., Halpin-Healy T.S., Sternberg S.H. Transposon-encoded CRISPR–Cas systems direct RNA-guided DNA integration. Nature. 2019;571:219–225. doi: 10.1038/s41586-019-1323-z. [DOI] [PubMed] [Google Scholar]
  • 38.Abavisani M., Khayami R., Hoseinzadeh M., Kodori M., Kesharwani P., Sahebkar A. CRISPR-Cas system as a promising player against bacterial infection and antibiotic resistance. Drug Resist. Updates. 2023 doi: 10.1016/j.drup.2023.100948. [DOI] [PubMed] [Google Scholar]
  • 39.Bhatia S., Yadav S.K. CRISPR-Cas for genome editing: classification, mechanism, designing and applications. Int. J. Biol. Macromol. 2023 doi: 10.1016/j.ijbiomac.2023.124054. [DOI] [PubMed] [Google Scholar]
  • 40.Arroyo-Olarte R.D., Bravo Rodríguez R., Morales-Ríos E. Genome editing in bacteria: CRISPR-Cas and beyond. Microorganisms. 2021;9:844. doi: 10.3390/microorganisms9040844. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 41.Naz M., Benavides-Mendoza A., Tariq M., Zhou J., Wang J., Qi S., Dai Z., Du D. CRISPR/Cas9 technology as an innovative approach to enhancing the phytoremediation: concepts and implications. J. Environ. Manag. 2022;323 doi: 10.1016/j.jenvman.2022.116296. [DOI] [PubMed] [Google Scholar]
  • 42.Xu C., Zhou Y., Xiao Q., He B., Geng G., Wang Z., Cao B., Dong X., Bai W., Wang Y., Wang X., Zhou D., Yuan T., Huo X., Lai J., Yang H. Programmable RNA editing with compact CRISPR–Cas13 systems from uncultivated microbes. Nat. Methods. 2021;18:499–506. doi: 10.1038/s41592-021-01124-4. [DOI] [PubMed] [Google Scholar]
  • 43.Nidhi S., Anand U., Oleksak P., Tripathi P., Lal J.A., Thomas G., Kuca K., Tripathi V. Novel CRISPR–Cas systems: an updated review of the current achievements, applications, and future research perspectives. Int. J. Mol. Sci. 2021;22:3327. doi: 10.3390/ijms22073327. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 44.Bhattacharjee G., Khambhati K., Gohil N., Singh V. Genome Engineering via CRISPR-Cas9 System. Elsevier; 2020. Programmable removal of bacterial pathogens using CRISPR-Cas9 system; pp. 39–44. [Google Scholar]
  • 45.Durr H.A., Leipzig N.D. Advancements in bacteriophage therapies and delivery for bacterial infection. Materials Advances. 2023;4:1249–1257. doi: 10.1039/d2ma00980c. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 46.Bikard D., Barrangou R. Using CRISPR-Cas systems as antimicrobials. Curr. Opin. Microbiol. 2017;37:155–160. doi: 10.1016/j.mib.2017.08.005. [DOI] [PubMed] [Google Scholar]
  • 47.Bikard D., Euler C.W., Jiang W., Nussenzweig P.M., Goldberg G.W., Duportet X., Fischetti V.A., Marraffini L.A. Exploiting CRISPR-Cas nucleases to produce sequence-specific antimicrobials. Nat. Biotechnol. 2014;32:1146–1150. doi: 10.1038/nbt.3043. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 48.Tan X., Letendre J.H., Collins J.J., Wong W.W. Synthetic biology in the clinic: engineering vaccines, diagnostics, and therapeutics. Cell. 2021;184:881–898. doi: 10.1016/j.cell.2021.01.017. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 49.De Oliveira D.M., Forde B.M., Kidd T.J., Harris P.N., Schembri M.A., Beatson S.A., Paterson D.L., Walker M.J. Antimicrobial resistance in ESKAPE pathogens. Clin. Microbiol. Rev. 2020;33 doi: 10.1128/CMR.00181-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 50.Ratner Hannah K., Weiss David S. Francisella novicida CRISPR-cas systems can functionally complement each other in DNA defense while providing target flexibility. J. Bacteriol. 2020;202 doi: 10.1128/jb.00670-19. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 51.Shabbir M.A.B., Wu Q., Shabbir M.Z., Sajid A., Ahmed S., Sattar A., Tang Y., Li J., Maan M.K., Hao H., Yuan Z. The CRISPR-cas system promotes antimicrobial resistance in Campylobacter jejuni. Future Microbiol. 2018;13:1757–1774. doi: 10.2217/fmb-2018-0234. [DOI] [PubMed] [Google Scholar]
  • 52.Wan F., Draz M.S., Gu M., Yu W., Ruan Z., Luo Q. Novel strategy to combat antibiotic resistance: a sight into the combination of CRISPR/Cas9 and nanoparticles. Pharmaceutics. 2021;13:352. doi: 10.3390/pharmaceutics13030352. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 53.Zhang F., Cheng W. The mechanism of bacterial resistance and potential bacteriostatic strategies. Antibiotics. 2022;11:1215. doi: 10.3390/antibiotics11091215. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 54.Kundar R., Gokarn K. CRISPR-Cas system: a tool to eliminate drug-resistant gram-negative bacteria. Pharmaceuticals. 2022;15:1498. doi: 10.3390/ph15121498. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 55.Leigh R.J., McKenna C., McWade R., Lynch B., Walsh F. Comparative genomics and pangenomics of vancomycin-resistant and susceptible Enterococcus faecium from Irish hospitals. J. Med. Microbiol. 2022;71 doi: 10.1099/jmm.0.001590. [DOI] [PubMed] [Google Scholar]
  • 56.Armianinova D., Karpov D., Kotliarova M., Goncharenko A. Genetic engineering in mycobacteria. Mol. Biol. 2022;56:830–841. doi: 10.31857/S0026898422060040. [DOI] [PubMed] [Google Scholar]
  • 57.Tram T.T.B., Ha V.T.N., Trieu L.P.T., Ashton P.M., Crawford E.D., Thu D.D.A., Quang N.L., Thwaites G.E., Walker T.M., Anscombe C. FLASH-TB: an application of next-generation CRISPR to detect drug resistant tuberculosis from direct sputum. J. Clin. Microbiol. 2023 doi: 10.1128/jcm.01634-22. 01622. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 58.Wolfe W., Xiang Z., Yu X., Li P., Chen H., Yao M., Fei Y., Huang Y., Yin Y., Xiao H. Advanced Gut & Microbiome Research; 2023. The Challenge of Applications of Probiotics in Gastrointestinal Diseases; p. 2023. [Google Scholar]
  • 59.Ortiz-Cartagena C., Blasco L., Fernandez-Garcia L., Pacios O., Bleriot I., Lopez Diaz M., Fernandez-Cuenca F., Canton R., Tomas M. Application of RT-LAMP-CRISPR-Cas13a technology to the detection of OXA-48 producing Klebsiella pneumoniae. bioRxiv. 2022 2022.2008. 2029.505698. [Google Scholar]
  • 60.Suea-Ngam A., Howes P.D., DeMello A.J. An amplification-free ultra-sensitive electrochemical CRISPR/Cas biosensor for drug-resistant bacteria detection. Chem. Sci. 2021;12:12733–12743. doi: 10.1039/d1sc02197d. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 61.Fu J., Li J., Chen J., Li Y., Liu J., Su X., Shi S. Ultra-specific nucleic acid testing by target-activated nucleases. Crit. Rev. Biotechnol. 2022;42:1061–1078. doi: 10.1080/07388551.2021.1983757. [DOI] [PubMed] [Google Scholar]
  • 62.Rahman M., Majumder T.R., Apu M., Islam A., Paul A.K., Afrose A., Dash B.K. CRISPR-based programmable nucleic acid-binding protein technology can specifically detect fatal tropical disease-causing pathogens. J. Trop. Med. 2022;2022 doi: 10.1155/2022/5390685. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 63.Shin K., Kwon S., Lee S., Moon Y. Sensitive and rapid detection of citrus scab using an RPA-CRISPR/Cas12a system combined with a lateral flow assay. Plants. 2021;10:2132. doi: 10.3390/plants10102132. s Note: MDPI stays neutral with regard to jurisdictional claims in published …, 2021. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 64.Bonini A., Poma N., Vivaldi F., Kirchhain A., Salvo P., Bottai D., Tavanti A., Di Francesco F. Advances in biosensing: the CRISPR/Cas system as a new powerful tool for the detection of nucleic acids. J. Pharmaceut. Biomed. Anal. 2021;192 doi: 10.1016/j.jpba.2020.113645. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 65.Cao X., Chang Y., Tao C., Chen S., Lin Q., Ling C., Huang S., Zhang H. Cas12a/Guide RNA-based platforms for rapidly and accurately identifying Staphylococcus aureus and methicillin-resistant S. aureus, Microbiology Spectrum. 2023;11 doi: 10.1128/spectrum.04870-22. 04822. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 66.Li Y., Man S., Ye S., Liu G., Ma L. CRISPR‐Cas‐based detection for food safety problems: current status, challenges, and opportunities. Compr. Rev. Food Sci. Food Saf. 2022;21:3770–3798. doi: 10.1111/1541-4337.13000. [DOI] [PubMed] [Google Scholar]
  • 67.Panwar R., Churi H., Dave S. Point-of-care electrochemical biosensors using CRISPR/Cas for RNA analysis. Biosensors for Emerging and Re-Emerging Infectious Diseases. 2022:317–333. Elsevier. [Google Scholar]
  • 68.Qiu M., Zhang J., Pang L., Zhang Y., Zhao Q., Jiang Y., Yang X., Man C. Recent advances on CRISPR/Cas system-enabled portable detection devices for on-site agri-food safety assay. Trends Food Sci. Technol. 2022 [Google Scholar]
  • 69.Cai Q., Wang R., Qiao Z., Yang W. Single-digit Salmonella detection with the naked eye using bio-barcode immunoassay coupled with recombinase polymerase amplification and a CRISPR-Cas12a system. Analyst. 2021;146:5271–5279. doi: 10.1039/D1AN00717C. [DOI] [PubMed] [Google Scholar]
  • 70.Shen Y., Cohen J.L., Nicoloro S.M., Kelly M., Yenilmez B., Henriques F., Tsagkaraki E., Edwards Y.J., Hu X., Friedline R.H. CRISPR-delivery particles targeting nuclear receptor–interacting protein 1 (Nrip1) in adipose cells to enhance energy expenditure. J. Biol. Chem. 2018;293:17291–17305. doi: 10.1074/jbc.RA118.004554. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 71.Zhao Z., Lu M., Wang N., Li Y., Zhao L., Zhang Q., Man S., Ye S., Ma L. Nanomaterials-assisted CRISPR/Cas detection for food safety: advances, challenges and future prospects. TrAC, Trends Anal. Chem. 2023 [Google Scholar]
  • 72.Peng R., Chen X., Xu F., Hailstone R., Men Y., Du K. Pneumatic nano-sieve for CRISPR-based detection of drug-resistant bacteria. Nanoscale Horizons. 2023;8:1677–1685. doi: 10.1039/D3NH00365E. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 73.Zhao J., Tan Z., Wang L., Lei C., Nie Z. A ligation-driven CRISPR–Cas biosensing platform for non-nucleic acid target detections. Chem. Commun. 2021;57:7051–7054. doi: 10.1039/D1CC02578C. [DOI] [PubMed] [Google Scholar]
  • 74.Zhao X., Li S., Liu G., Wang Z., Yang Z., Zhang Q., Liang M., Liu J., Li Z., Tong Y., Zhu G., Wang X., Jiang L., Wang W., Tan G.-Y., Zhang L. A versatile biosensing platform coupling CRISPR–Cas12a and aptamers for detection of diverse analytes. Sci. Bull. 2021;66:69–77. doi: 10.1016/j.scib.2020.09.004. [DOI] [PubMed] [Google Scholar]
  • 75.Quan J., Langelier C., Kuchta A., Batson J., Teyssier N., Lyden A., Caldera S., McGeever A., Dimitrov B., King R., Wilheim J., Murphy M., Ares L.P., Travisano K.A., Sit R., Amato R., Mumbengegwi D.R., Smith J.L., Bennett A., Gosling R., Mourani P.M., Calfee C.S., Neff N.F., Chow E.D., Kim P.S., Greenhouse B., DeRisi J.L., Crawford E.D. FLASH: a next-generation CRISPR diagnostic for multiplexed detection of antimicrobial resistance sequences. Nucleic Acids Res. 2019;47 doi: 10.1093/nar/gkz418. e83-e83. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 76.Li F., Ye Q., Chen M., Zhou B., Zhang J., Pang R., Xue L., Wang J., Zeng H., Wu S., Zhang Y., Ding Y., Wu Q. An ultrasensitive CRISPR/Cas12a based electrochemical biosensor for Listeria monocytogenes detection. Biosens. Bioelectron. 2021;179 doi: 10.1016/j.bios.2021.113073. [DOI] [PubMed] [Google Scholar]
  • 77.Xu H., Tang H., Li R., Xia Z., Yang W., Zhu Y., Liu Z., Lu G., Ni S., Shen J. A new method based on LAMP-CRISPR–Cas12a-lateral flow immunochromatographic strip for detection. Infect. Drug Resist. 2022:685–696. doi: 10.2147/IDR.S348456. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 78.Liu C., Hong Q., Chang R.Y.K., Kwok P.C.L., Chan H.-K. Phage–Antibiotic therapy as a promising strategy to combat multidrug-resistant infections and to enhance antimicrobial efficiency. Antibiotics. 2022;11:570. doi: 10.3390/antibiotics11050570. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 79.Schooley Robert T., Biswas B., Gill Jason J., Hernandez-Morales A., Lancaster J., Lessor L., Barr Jeremy J., Reed Sharon L., Rohwer F., Benler S., Segall Anca M., Taplitz R., Smith Davey M., Kerr K., Kumaraswamy M., Nizet V., Lin L., McCauley Melanie D., Strathdee Steffanie A., Benson Constance A., Pope Robert K., Leroux Brian M., Picel Andrew C., Mateczun Alfred J., Cilwa Katherine E., Regeimbal James M., Estrella Luis A., Wolfe David M., Henry Matthew S., Quinones J., Salka S., Bishop-Lilly Kimberly A., Young R., Hamilton T. Development and use of personalized bacteriophage-based therapeutic cocktails to treat a patient with a disseminated resistant acinetobacter baumannii infection. Antimicrob. Agents Chemother. 2017;61 doi: 10.1128/aac.00954-17. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 80.Bradford J. Queensland University of Technology; 2022. Rapid Detection of Safe and Efficient Gene Editing Targets across Entire Genomes. [Google Scholar]
  • 81.Parveen S., Gupta P., Kumar S., Banerjee M. Lipid polymer hybrid nanoparticles as potent vehicles for drug delivery in cancer therapeutics. Medicine in Drug Discovery. 2023 [Google Scholar]
  • 82.Pieczynski J., Wolyniak M., Pattison D., Hoage T., Carter D., Olson S., Santisteban M., Ruppel N., Challa A. The CRISPR in the Classroom network: a support system for instructors to bring gene editing technology to the undergraduate Classroom. Faseb. J. 2022;36 doi: 10.1096/fasebj.2022.36.S1.R3488. [DOI] [Google Scholar]
  • 83.Doudna J., LeMieux J. CRISPR's second decade: jennifer doudna looks forward and back. GEN Biotechnology. 2022;1:415–420. [Google Scholar]
  • 84.Harshitha N., Rajasekhar A., Saurabh S., Sonalkar R., Tejashwini M., Mitra S.D. Bacteriophages: potential biocontrol agents and treatment options for bacterial pathogens. Clin. Microbiol. Newsl. 2022;44:41–50. [Google Scholar]
  • 85.Liu X., Ao K., Yao J., Zhang Y., Li X. Engineering plant disease resistance against biotrophic pathogens. Curr. Opin. Plant Biol. 2021;60 doi: 10.1016/j.pbi.2020.101987. [DOI] [PubMed] [Google Scholar]
  • 86.Tao H., Shi X., He F., Wang D., Xiao N., Fang H., Wang R., Zhang F., Wang M., Li A. Engineering broad‐spectrum disease‐resistant rice by editing multiple susceptibility genes. J. Integr. Plant Biol. 2021;63:1639–1648. doi: 10.1111/jipb.13145. [DOI] [PubMed] [Google Scholar]
  • 87.Tanihara F., Hirata M., Nguyen N.T., Le Q.A., Wittayarat M., Fahrudin M., Hirano T., Otoi T. Generation of CD163-edited pig via electroporation of the CRISPR/Cas9 system into porcine in vitro-fertilized zygotes. Anim. Biotechnol. 2021;32:147–154. doi: 10.1080/10495398.2019.1668801. [DOI] [PubMed] [Google Scholar]
  • 88.Wang S., Qu Z., Huang Q., Zhang J., Lin S., Yang Y., Meng F., Li J., Zhang K. Application of gene editing technology in resistance breeding of livestock. Life. 2022;12:1070. doi: 10.3390/life12071070. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 89.Wang J., Cheng Y. Harnessing antimicrobial peptide genes to expedite disease-resistant enhancement in aquaculture: transgenesis and genome editing. bioRxiv. 2023 2023.2001. 2005.522886. [Google Scholar]
  • 90.Mark Cigan A., Knap P.W. Technical considerations towards commercialization of porcine respiratory and reproductive syndrome (PRRS) virus resistant pigs. CABI Agriculture and Bioscience. 2022;3:1–20. [Google Scholar]
  • 91.Sunish K.S., Sreedharan K., Shadha Nazreen S.K. Actinomycetes as a promising candidate bacterial group for the health management of aquaculture systems: a review. Rev. Aquacult. 2022 [Google Scholar]
  • 92.Niu S., Zhu Y., Geng R., Luo M., Zuo H., Yang L., Weng S., He J., Xu X. A novel chitinase Chi6 with immunosuppressive activity promotes white spot syndrome virus (WSSV) infection in Penaeus vannamei. Fish Shellfish Immunol. 2023;132 doi: 10.1016/j.fsi.2022.11.038. [DOI] [PubMed] [Google Scholar]
  • 93.O'Sullivan L., Bolton D., McAuliffe O., Coffey A. Bacteriophages in food applications: from foe to friend. Annu. Rev. Food Sci. Technol. 2019;10:151–172. doi: 10.1146/annurev-food-032818-121747. [DOI] [PubMed] [Google Scholar]
  • 94.Shang X. Structure-Guided Engineering of a Multimeric Bacteriophage-Encoded Endolysin PlyC. 2019 [Google Scholar]
  • 95.Li P., Wan P., Zhao R., Chen J., Li X., Li J., Xiong W., Zeng Z. Targeted elimination of bla NDM-5 gene in Escherichia coli by conjugative CRISPR-Cas9 system. Infect. Drug Resist. 2022:1707–1716. doi: 10.2147/IDR.S357470. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 96.Feng S., Wang Z., Li A., Xie X., Liu J., Li S., Li Y., Wang B., Hu L., Yang L. Strategies for high-efficiency mutation using the CRISPR/Cas system. Front. Cell Dev. Biol. 2022;9 doi: 10.3389/fcell.2021.803252. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 97.Wilbie D., Walther J., Mastrobattista E. Delivery aspects of CRISPR/Cas for in vivo genome editing. Acc. Chem. Res. 2019;52:1555–1564. doi: 10.1021/acs.accounts.9b00106. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 98.Li H., Yang Y., Hong W., Huang M., Wu M., Zhao X. Applications of genome editing technology in the targeted therapy of human diseases: mechanisms, advances and prospects. Signal Transduct. Targeted Ther. 2020;5:1. doi: 10.1038/s41392-019-0089-y. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 99.Piergentili R., Del Rio A., Signore F., Umani Ronchi F., Marinelli E., Zaami S. CRISPR-Cas and its wide-ranging applications: from human genome editing to environmental implications, technical limitations, hazards and bioethical issues. Cells. 2021;10:969. doi: 10.3390/cells10050969. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 100.Wani A.K., Akhtar N., Shukla S. CRISPR/Cas9: regulations and challenges for law enforcement to combat its dual-use. Forensic Sci. Int. 2022 doi: 10.1016/j.forsciint.2022.111274. [DOI] [PubMed] [Google Scholar]
  • 101.Perez M., Angers B., Young C.R., Juniper S.K. Shining light on a deep-sea bacterial symbiont population structure with CRISPR. Microb. Genom. 2021;7 doi: 10.1099/mgen.0.000625. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 102.Årdal C., Balasegaram M., Laxminarayan R., McAdams D., Outterson K., Rex J.H., Sumpradit N. Antibiotic development—economic, regulatory and societal challenges. Nat. Rev. Microbiol. 2020;18:267–274. doi: 10.1038/s41579-019-0293-3. [DOI] [PubMed] [Google Scholar]
  • 103.Mali F. Key socio‐economic and (bio) ethical challenges in the CRISPR‐Cas9 patent landscape. Genome Editing in Drug Discovery. 2022:315–327. [Google Scholar]
  • 104.Mazzucato M., Li H.L. A market shaping approach for the biopharmaceutical industry: governing innovation towards the public interest. J. Law Med. Ethics. 2021;49:39–49. doi: 10.1017/jme.2021.8. [DOI] [PubMed] [Google Scholar]
  • 105.Zadissa A., Apweiler R. Data mining, quality and management in the life sciences. Data Mining Techniques for the Life Sciences, Springer. 2022:3–25. doi: 10.1007/978-1-0716-2095-3_1. [DOI] [PubMed] [Google Scholar]
  • 106.Rissberger E.N. The future of biotechnology: accelerating gene-editing advancements through non-exclusive licenses and open-source access of CRISPR-Cas9. Santa Clara High Tech. LJ. 2021;38:95. [Google Scholar]
  • 107.Annas G.J., Beisel C.L., Clement K., Crisanti A., Francis S., Galardini M., Galizi R., Grünewald J., Immobile G., Khalil A.S. A code of ethics for gene drive research. CRISPR J. 2021;4:19–24. doi: 10.1089/crispr.2020.0096. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 108.Manghwar H., Li B., Ding X., Hussain A., Lindsey K., Zhang X., Jin S. CRISPR/Cas systems in genome editing: methodologies and tools for sgRNA design, off‐target evaluation, and strategies to mitigate off‐target effects. Adv. Sci. 2020;7 doi: 10.1002/advs.201902312. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 109.Dubey A.K., Kumar Gupta V., Kujawska M., Orive G., Kim N.-Y., Li C.-z., Kumar Mishra Y., Kaushik A. Exploring nano-enabled CRISPR-Cas-powered strategies for efficient diagnostics and treatment of infectious diseases. Journal of Nanostructure in Chemistry. 2022;12:833–864. doi: 10.1007/s40097-022-00472-7. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 110.Bauer A., Bogner A. Let's (not) talk about synthetic biology: framing an emerging technology in public and stakeholder dialogues. Publ. Understand. Sci. 2020;29:492–507. doi: 10.1177/0963662520907255. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 111.Lawson C.E., Martí J.M., Radivojevic T., Jonnalagadda S.V.R., Gentz R., Hillson N.J., Peisert S., Kim J., Simmons B.A., Petzold C.J. Machine learning for metabolic engineering: a review. Metab. Eng. 2021;63:34–60. doi: 10.1016/j.ymben.2020.10.005. [DOI] [PubMed] [Google Scholar]
  • 112.Al-Akayleh F., Al-Remawi M., Agha A.S.A. AI-driven physical rehabilitation strategies in post-cancer care. 2024 2nd International Conference on Cyber Resilience (ICCR), IEEE. 2024:1–6. [Google Scholar]
  • 113.Adwan S., Qasmieh M., Al-Akayleh F., Ali Agha A.S. Recent advances in ocular drug delivery: insights into lyotropic liquid crystals. Pharmaceuticals. 2024 doi: 10.3390/ph17101315. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 114.Aburub F., Agha A.S.A. AI-driven psychological support and cognitive rehabilitation strategies in post-cancer care. 2024 2nd International Conference on Cyber Resilience (ICCR), IEEE. 2024:1–6. [Google Scholar]
  • 115.Ghunaim L., Agha A.S.A.A., Aburjai T. Integrating artificial intelligence and advanced genomic technologies in unraveling autism spectrum disorder and gastrointestinal comorbidities: a multidisciplinary approach to precision medicine. Jordan Journal of Pharmaceutical Sciences. 2024;17:567–581. [Google Scholar]
  • 116.Al-Akayleh F., Agha A.S.A. Trust, ethics, and user-centric design in AI-integrated genomics. 2024 2nd International Conference on Cyber Resilience (ICCR), IEEE. 2024:1–6. [Google Scholar]
  • 117.Al-Akayleh F., Ali Agha A.S., Abdel Rahem R.A., Al-Remawi M. A mini review on the applications of artificial intelligence (AI) in surface chemistry and catalysis. Tenside Surfactants Deterg. 2024 doi: 10.1515/tsd-2024-2580. [DOI] [Google Scholar]
  • 118.Agha A.S.A., Khalil E., Al-Remawi M., Al-Akayleh F. Infrared microscopy: a multidisciplinary review of techniques, applications, and ethical dimensions. Jordan Journal of Pharmaceutical Sciences. 2024;17:267–291. [Google Scholar]
  • 119.Durrant M.G., Perry N.T., Pai J.J., Jangid A.R., Athukoralage J.S., Hiraizumi M., McSpedon J.P., Pawluk A., Nishimasu H., Konermann S. Bridge RNAs direct programmable recombination of target and donor DNA. Nature. 2024;630:984–993. doi: 10.1038/s41586-024-07552-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 120.Siddiquee R., Pong C.H., Hall R.M., Ataide S.F. A programmable seekRNA guides target selection by IS 1111 and IS 110 type insertion sequences. Nat. Commun. 2024;15:5235. doi: 10.1038/s41467-024-49474-9. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 121.Yarnall M.T.N., Ioannidi E.I., Schmitt-Ulms C., Krajeski R.N., Lim J., Villiger L., Zhou W., Jiang K., Garushyants S.K., Roberts N., Zhang L., Vakulskas C.A., Walker J.A., Kadina A.P., Zepeda A.E., Holden K., Ma H., Xie J., Gao G., Foquet L., Bial G., Donnelly S.K., Miyata Y., Radiloff D.R., Henderson J.M., Ujita A., Abudayyeh O.O., Gootenberg J.S. Drag-and-drop genome insertion of large sequences without double-strand DNA cleavage using CRISPR-directed integrases. Nat. Biotechnol. 2023;41:500–512. doi: 10.1038/s41587-022-01527-4. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 122.Alshammari M., Ahmad A., AlKhulaifi M., Al Farraj D., Alsudir S., Alarawi M., Takashi G., Alyamani E. Reduction of biofilm formation of Escherichia coli by targeting quorum sensing and adhesion genes using the CRISPR/Cas9-HDR approach, and its clinical application on urinary catheter. Journal of Infection and Public Health. 2023;16:1174–1183. doi: 10.1016/j.jiph.2023.05.026. [DOI] [PubMed] [Google Scholar]
  • 123.Zheng X., Li S., Zhao G., Wang J. An efficient system for deletion of large DNA fragments in Escherichia coli via introduction of both Cas9 and the non-homologous end joining system from Mycobacterium smegmatis. Biochem. Biophys. Res. Commun. 2017;485(4):768–774. doi: 10.1016/j.bbrc.2017.02.129. [DOI] [PubMed] [Google Scholar]
  • 124.Sawitzke J.A., Bubunenko M., Thomason L., Li X., Costantino N., Court D. In: Brenner's Encyclopedia of Genetics. second ed. Maloy S., Hughes K., editors. Academic Press; San Diego: 2013. Recombineering: a modern approach to genetic engineering; pp. 109–112. [Google Scholar]
  • 125.Rybarski J.R., Hu K., Hill A.M., Wilke C.O., Finkelstein I.J. Metagenomic discovery of CRISPR-associated transposons. bioRxiv. 2021:2021. doi: 10.1101/2021.08.16.456562. 2008.2016.456562. [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 126.Ahmad S., Wei X., Sheng Z., Hu P., Tang S. CRISPR/Cas9 for development of disease resistance in plants: recent progress, limitations and future prospects. Briefings in Functional Genomics. 2020;19:26–39. doi: 10.1093/bfgp/elz041. [DOI] [PubMed] [Google Scholar]
  • 127.Hoikkala V., Almeida G.M.F., Laanto E., Sundberg L.-R. Aquaculture as a source of empirical evidence for coevolution between CRISPR-Cas and phage. Phil. Trans. Biol. Sci. 2019;374 doi: 10.1098/rstb.2018.0100. [DOI] [PMC free article] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

No data was used for the research described in the article.


Articles from Heliyon are provided here courtesy of Elsevier

RESOURCES