Antibiotic resistance genes in bacteria: Occurrence, spread, and control

Detection of KPC-producing Enterobacterales species in wastewater samples from the Gran Concepción Metropolitan area, Chile

BACKGROUND

Carbapenemase-mediated resistance to carbapenems is a significant public health concern due to its potential for widespread dissemination. The KPC family of carbapenemases, encoded by the blaKPC gene and often associated with Tn4401-like transposons, is particularly important for its ability to be transferred through diverse plasmid types. In Chile, KPC-producing Gram-negative bacteria have been detected in clinical settings; however, their occurrence in wastewater (WW) remains unknown. This study addresses this gap by characterizing carbapenem-resistant Enterobacterales isolates from a wastewater treatment plant (WWTP) in the Gran Concepción Metropolitan Area, Chile.

RESULTS

This study identifies three carbapenem-resistant Enterobacterales isolates, namely Klebsiella pasteurii M2/A/C/34, Klebsiella pneumoniae subsp. pneumoniae M3/A/M/3, and Citrobacter freundii sensu stricto. M4/A/C/32, all exhibiting multidrug-resistant profiles and carrying the blaKPC-2 gene encoding KPC-like carbapenemases. These isolates also possessed genes for extended-spectrum β-lactamases (ESBLs) and aminoglycoside-modifying enzymes (AMEs). Sequence typing revealed that M2/A/C/34, M3/A/M/3, and M4/A/C/32 belonged to novel sequence types, specifically ST470, ST273, and ST214, respectively. All isolates carried plasmids belonging to groups commonly associated with ARGs, including IncF, IncP, and IncA. Both Klebsiella isolates (M2/A/C/34 and M3/A/M/3) carried the class 1 integron (intl1) gene. Phylogenomic analysis reveals that M2/A/C/34 is related to strains from China and Pakistan, while M3/A/M/3 shares similarities with a strain from Germany, indicating their potential dissemination.

CONCLUSIONS

This study represents the first detection of carbapenem-resistant Enterobacterales carrying blaKPC-2 in Chilean WW, including the novel identification of K. pasteurii. These findings emphasize the critical role of genomic surveillance in WW under the One Health framework, enabling the monitoring of carbapenemase-producing bacteria and associated ARGs. Sustained surveillance efforts are essential to comprehend the dynamics of antibiotic resistance in environmental reservoirs and to develop strategies for its containment and mitigation.

Recent advancements in bacterial anti-phage strategies and the underlying mechanisms altering susceptibility to antibiotics

The rapid spread of multidrug-resistant bacteria and the challenges in developing new antibiotics have brought renewed international attention to phage therapy. However, in bacteria-phage co-evolution, the rapid development of bacterial resistance to phage has limited its clinical application. This review consolidates the latest advancements in research on anti-phage mechanisms, encompassing strategies such as systems associated with reduced nicotinamide adenine dinucleotide (NAD+) to halt the propagation of the phage, symbiotic bacteria episymbiont-mediated modulation of gene expression in host bacteria to resist phage infection, and defence-related reverse transcriptase (DRT) encoded by bacteria to curb phage infections. We conduct an in-depth analysis of the underlying mechanisms by which bacteria undergo alterations in antibiotic susceptibility after developing phage resistance. We also discuss the remaining challenges and promising directions for phage-based therapy in the future.

Antimicrobial resistance: Linking molecular mechanisms to public health impact

BACKGROUND

Antimicrobial resistance (AMR) develops into a worldwide health emergency through genetic and biochemical adaptations which enable microorganisms to resist antimicrobial treatment. β-lactamases (blaNDM, blaKPC) and efflux pumps (MexAB-OprM) working with mobile genetic elements facilitate fast proliferation of multidrug-resistant (MDR) and exttreme drug-resistant (XDR) phenotypes thus creating major concerns for healthcare systems and community health as well as the agricultural sector.

OBJECTIVES

The review dissimilarly unifies molecular resistance pathways with public health implications through the study of epidemiological data and monitoring approaches and innovative therapeutic solutions. Previous studies separating their attention between molecular genetics and clinical outcomes have been combined into our approach which delivers an all-encompassing analysis of AMR.

KEY INSIGHTS

The report investigates the resistance mechanisms which feature enzymatic degradation and efflux pump overexpression together with target modification and horizontal gene transfer because these factors represent important contributors to present-day AMR developments. This review investigates AMR effects on hospital and community environments where it affects pathogens including MRSA, carbapenem-resistant Klebsiella pneumoniae, and drug-resistant Pseudomonas aeruginosa. This document explores modern AMR management methods that comprise WHO GLASS molecular surveillance systems and three innovative strategies such as CRISPR-modified genome editing and bacteriophage treatments along with antimicrobial peptides and artificial intelligence diagnostic tools.

CONCLUSION

The resolution of AMR needs complete scientific and global operational methods alongside state-of-the-art therapeutic approaches. Worldwide management of drug-resistant infection burden requires both enhanced infection prevention procedures with next-generation antimicrobial strategies to reduce cases effectively.

Rapid whole genome sequencing for AMR surveillance in low- and middle-income countries: Oxford Nanopore Technology reveals multidrug-resistant Enterobacter cloacae complex from dairy farms in Sri Lanka

BACKGROUND

Antimicrobial resistance (AMR) is a major global challenge that disproportionately affects low- and middle-income countries (LMICs). Environmental contamination by resistant bacteria from animal production facilities is a major driver of the spread of AMR through the food chain, requiring a robust one-health control approach. Traditional culture-based AMR surveillance is time-consuming and less sensitive, and fails to fully capture the spectrum of AMR, evolutionary trends, and epidemiological patterns of AMR spread. Whole-genome sequencing (WGS) has revolutionized AMR surveillance capabilities. Rapid WGS captures the full AMR spectrum with minimum samples, aids source attribution, and provides insights into trends in AMR spread. The portable Oxford Nanopore® Technology (ONT) platform, coupled with open-source software such as Galaxy and Konstanz Information Miner (KNIME), enables the establishment of a potentially portable, transferable workflow for low-resource settings. This study aimed to assess the AMR burden on four dairy farms in Kandy, Sri Lanka, via a resource-limited LMIC using a low-cost high-throughput screening assay and rapid WGS via ONT with Galaxy and KNIME processing to obtain full antibiotic resistomes.

RESULTS

The four isolates exhibiting the highest minimum inhibitory concentrations for amoxicillin were identified as Enterobacter cloacae and E. hormaechei by WGS. Chromosomes (4.8 to 4.9 Mb) carry the strain-specific resistance genes blaCMH-1, blaACT-25, fosA_7, and ramA, which are associated with diverse antibiotic classes. Plasmids, including IncFIB (pECLA), IncFII (pECLA), and IncX3, carry multiple resistance genes, including AAC(3)-IIe, AAC(6')-Ib-cr, APH(3″)-Ib, APH(6)-Id, blaCTX-M-15, blaNDM, blaOXA-1, blaTEM-1, dfrA14, QnrB17, catII, determinant-of-bleomycin-resistance, and sul2. Novel arrangements of insertion sequences were observed in E. hormaechei plasmids. The phenotypic resistance of all the isolates matched the genotypic MDR profiles, including resistance to chloramphenicol, gentamicin, tetracycline, and cotrimoxazole.

CONCLUSIONS

ONT WGS with Galaxy and KNIME processing may be a feasible option for AMR surveillance in resource-limited LMICs. To the best of our knowledge, this is the first in-house whole-genome analysis workflow in the country tailored for AMR surveillance. The presence of potentially pathogenic high-MIC, MDR Enterobacter spp. with wide resistomes, including the blaNDM gene, emphasizes the urgent need to address AMR in animal production facilities within a one-health framework.

Metagenomic Comparison of Gut Microbes of Lemur catta in Captive and Semi-Free-Range Environments

In order to protect endangered species, many zoos adopt diverse rearing models to achieve optimal conservation outcomes. This study employed metagenomic approaches to assess differences in the fecal microbiome of captive and semi-free-ranging ring-tailed lemurs (Lemur catta). The results show that captivity significantly altered the microbial community structure. The inter-individual variability in the microbial community within the captive-bred (CB) group was lower than that in the semi-free-ranging (FR) group, yet these individuals harbored a higher abundance of potential pathogens (Treponema_D). In contrast, microbial genera associated with fiber degradation and short-chain fatty acid production in the FR group were significantly elevated (Faecalibacterium, Roseburia, and Megamonas) as compared to the CB group. Environmental variations between the two rearing systems led to distinct profiles in microbial functions and carbohydrate-active enzyme gene composition. Notably, the FR group of lemurs exhibited an increased abundance of enzyme genes associated with the degradation of complex polysaccharides (cellulose, hemicellulose, and pectin), suggesting that their diet, rich in natural plant fibers, enhances the capacity of their gut microbiota to extract essential energy and nutrients. Conversely, the CB group displayed a more homogeneous microbial community with a higher prevalence of potential pathogens, implying that a captive lifestyle may negatively impact gastrointestinal health. These findings offer valuable insights into the influence of rearing conditions on gut microbial ecology and its potential implications for the health management of ring-tailed lemurs.

3,3'-((3-Hydroxyphenyl)azanediyl)dipropionic Acid Derivatives as a Promising Scaffold Against Drug-Resistant Pathogens and Chemotherapy-Resistant Cancer

The synthesis and antimicrobial and anticancer activity of 3,3'-((3-hydroxyphenyl)azanediyl)dipropionic acid derivatives (2-25) against drug-resistant bacterial pathogens and FaDu head and neck cancer cells were investigated. The derivatives were synthesized through various methods, including esterification, hydrazinolysis, and condensation reactions. The compounds demonstrated structure-dependent antimicrobial activity, predominantly targeting Gram-positive pathogens. Compounds containing 4-nitrophenyl, 1-naphthyl, and 5-nitro-2-thienyl groups exhibited enhanced activity against S. aureus and E. faecalis. Additionally, compounds 5, 6, and 25 showed antiproliferative activity in cisplatin-resistant FaDu cells at low micromolar concentrations. The in silico modeling revealed that compound 25 interacts with the HER-2 and c-MET proteins. These compounds also induced significant oxidative stress in FaDu cells and demonstrated low cytotoxic activity in non-cancerous HEK293 cells. These results highlight the potential of N-aryl-substituted β-amino acid derivatives as promising scaffolds for the further development of novel amino acid-based antimicrobial and anticancer agents targeting drug-resistant pathogens and cancers.

Unraveling the dual role in enhancing methane production and mitigating antibiotic resistance gene spread in anaerobic co-digestion of microalgae and waste activated sludge

Waste activated sludge (WAS) is a double-edged sword - a recognized repository for antibiotic resistance genes (ARGs) but also a renewable substrate for methane production. Developing effective WAS treatment strategies is therefore of both ecological and practical importance. In this study, we proposed an anaerobic co-digestion approach of WAS and microalgae Chlorella sp. at a 1:2 ratio (MAcoD-1:2). Results showed that MAcoD-1:2 notably increased cumulative methane production by 52.7 %. Co-digestion also demonstrated a significant increase in the abundance of hydrolyzing acidifying bacteria Candidatus_Promineofilum (12.25 %) and methanogenic archaea Methanothrix (61.2 %). This microbial shift suggested that cosubstrates availability fostered a stable bacterial community structure and synergistic metabolic interactions, thus enhancing methane production. Metagenomic analysis revealed a significant reduction in both ARGs and mobile genetic elements in MAcoD-1:2. Notably, substrate level regulation was found to drive restructuring of microbial communities and metabolic patterns. Investigation showed that the Embden-Meyerhof-Parnas pathways were significantly inhibited while the pentose phosphate pathway was promoted, which constrained the cellular energy budget available for ARG horizontal transfer. Partial least squares path modelling (PLS-PM) further substantiated these findings, revealing methane metabolism negatively affected ARGs (-4.52), whereas confirming its positive correlation with methane production (0.22). Our findings provided distinctive perspectives on WAS resource utilization and novel technologies to inhibit the spread of ARGs.

Staphylococcus aureus: A Review of the Pathogenesis and Virulence Mechanisms

Staphylococcus aureus is a formidable human pathogen responsible for infections ranging from superficial skin lesions to life-threatening systemic diseases. This review synthesizes current knowledge on its pathogenesis, emphasizing colonization dynamics, virulence mechanisms, biofilm formation, and antibiotic resistance. By analyzing studies from PubMed, Scopus, and Web of Science, we highlight the pathogen's adaptability, driven by surface adhesins (e.g., ClfB, SasG), secreted toxins (e.g., PVL, TSST-1), and metabolic flexibility in iron acquisition and amino acid utilization. Nasal, skin, and oropharyngeal colonization are reservoirs for invasive infections, with biofilm persistence and horizontal gene transfer exacerbating antimicrobial resistance, particularly in methicillin-resistant S. aureus (MRSA). The review underscores the clinical challenges of multidrug-resistant strains, including vancomycin resistance and decolonization strategies' failure to target single anatomical sites. Key discussions address host-microbiome interactions, immune evasion tactics, and the limitations of current therapies. Future directions advocate for novel anti-virulence therapies, multi-epitope vaccines, and AI-driven diagnostics to combat evolving resistance. Strengthening global surveillance and interdisciplinary collaboration is critical to mitigating the public health burden of S. aureus.

LPS-enriched interaction drives spectrum conversion in antimicrobial peptides: Design and optimization of AA16 derivatives for targeting gram-negative bacteria

The increasing prevalence of antibiotic-resistant Gram-negative bacteria necessitates the development of novel antimicrobial agents with targeted specificity. In this study, we designed and optimized derivatives of the antimicrobial peptide AA16, which truncated from CD14 protein α-helical region, to selectively target Gram-negative bacteria by enhancing lipopolysaccharide (LPS)-enriched interactions, thereby achieving antibacterial spectrum conversion. Starting from the parent peptide AA16 (Ac-AARIPSRILFGALRVL-Amide), we performed strategic amino acid substitutions based on structure-activity relationship analysis. This led to the identification of AA16-10R, a derivative with a specific substitution at position 10, which demonstrated significantly enhanced antibacterial activity against Gram-negative strains such as Escherichia coli and Pseudomonas aeruginosa, while maintaining low hemolytic activity. Mechanistic studies revealed that AA16-10R exhibited a strong binding affinity to LPS (Kd = 0.15 μM), and its interaction with LPS induced the formation of an α-helical structure. This conformational change facilitated its accumulation on the bacterial outer membrane and disrupted membrane integrity. Our innovative approach of exploiting LPS-enriched interactions successfully converted the antimicrobial spectrum of AA16 derivatives from broad-spectrum to Gram-negative-specific. This study highlights a novel strategy for the rational design of antimicrobial peptides based on specific protein-protein interactions, offering a promising avenue for targeted antimicrobial therapy against Gram-negative pathogens.

Artificial intelligence in drug resistance management

This review highlights the application of artificial intelligence (AI), particularly deep learning and machine learning (ML), in managing antimicrobial resistance (AMR). Key findings demonstrate that AI models, such as Naïve Bayes, Decision Trees (DT), Random Forest (RF), Support Vector Machines (SVM), and Artificial Neural Networks (ANN), have significantly advanced the prediction of drug resistance patterns and the identification of novel antibiotics. These algorithms have effectively optimized antibiotic use, predicted resistance phenotypes, and identified new drug candidates. AI has also facilitated the detection of AMR-associated mutations, offering new insights into the spread of resistance and potential interventions. Despite data privacy and algorithm transparency challenges, AI presents a promising tool in combating AMR, with implications for improving patient outcomes, enhancing disease management, and addressing global public health concerns. However, realizing its full potential requires overcoming issues related to data scarcity, ethical considerations, and fostering interdisciplinary collaboration.

Comparison of CRISPR-Cas9, CRISPR-Cas12f1, and CRISPR-Cas3 in eradicating resistance genes KPC-2 and IMP-4

Bacterial plasmid encoding antibiotic resistance could be eradicated by various CRISPR systems, such as CRISPR-Cas9, Cas12f1, and Cas3. However, the efficacy of these gene editing tools against bacterial resistance has not been systematically assessed and compared. This study eliminates carbapenem resistance genes KPC-2 and IMP-4 via CRISPR-Cas9, Cas12f1, and Cas3 systems, respectively. The eradication efficiency of the three CRISPR systems was evaluated. First, the target sites for the three CRISPR systems were designed within the regions 542-576 bp of the KPC-2 gene and 213-248 bp of the IMP-4 gene, respectively. The recombinant CRISPR plasmids were transformed into Escherichia coli carrying KPC-2 or IMP-4-encoding plasmid. Colony PCR of transformants showed that KPC-2 and IMP-4 were eradicated by the three different CRISPR systems, and the elimination efficacy was both 100.00%. The drug sensitivity test results showed that the resistant E. coli strain was resensitized to ampicillin. In addition, the three CRISPR plasmids could block the horizontal transfer of drug-resistant plasmids, with a blocking rate as high as 99%. Importantly, a qPCR assay was performed to analyze the copy number changes of drug-resistant plasmids in E. coli cells. The results indicated that CRISPR-Cas3 showed higher eradication efficiency than CRISPR-Cas9 and Cas12f1 systems.

IMPORTANCE

With the continuous development and application of CRISPR-based resistance removal technologies, CRISPR-Cas9, Cas12f1, and Cas3 have gradually come into focus. However, it remains uncertain which system exhibits more potent efficacy in the removal of bacterial resistance. This study verifies that CRISPR-Cas9, Cas12f1, and Cas3 can eradicate the carbapenem-resistant genes KPC-2 and IMP-4 and restore the sensitivity of drug-resistant model bacteria to antibiotics. Among the three CRISPR systems, the CRISPR-Cas3 system showed the highest eradication efficiency. Although each system has its advantages and characteristics, our results provide guidance on the selection of the CRISPR system from the perspective of resistance gene removal efficiency, contributing to the further application of CRISPR-based bacterial resistance removal technologies.

A Cross-Sectional Study Assessing Antibiotic Resistance Awareness Among University Students in Samborondón, Greater Guayaquil, Ecuador

Background/Objectives: Education on antibiotic use has the potential to positively shape the practices and perspectives of future professionals. Assessing awareness levels of antibiotic resistance among university students is, therefore, critical, as they represent a vital demographic capable of influencing public health outcomes, especially in low- and middle-income countries. Methods: This cross-sectional study employed the World Health Organization's Antibiotic Resistance: Multi-Country Public Awareness Survey, which examines demographics, antibiotic use, knowledge, perspectives, and sources of information. A total of 922 surveys were collected from students across various disciplines at two universities in Greater Guayaquil. Results: Most participants reported obtaining antibiotics through healthcare professionals, adhering to proper usage instructions, and purchasing them primarily from pharmacies. However, only 56% of the responses were correct, with many students incorrectly associating antibiotic use with conditions where they are typically ineffective. Despite these gaps, the students expressed positive attitudes toward proposed measures to address antibiotic resistance. While the participants demonstrated familiarity with terms related to antibiotic resistance and identified doctors and educators as their main sources of information, educational campaigns were not widely recognized as important. Conclusions: These findings evidence knowledge gaps among an essential group, suggesting the need for targeted health programs, preventive strategies, and educational initiatives to combat misinformation regarding antimicrobial resistance.

Genetically Modified Mesenchymal Stromal/Stem Cells as a Delivery Platform for SE-33, a Cathelicidin LL-37 Analogue: Preclinical Pharmacokinetics and Tissue Distribution in C57BL/6 Mice

BACKGROUND

The genetic modification of mesenchymal stromal/stem cells (MSCs) to express antimicrobial peptides may provide a promising strategy for developing advanced cell-based therapies for bacterial infections, including those caused or complicated by antibiotic-resistant bacteria. We have previously demonstrated that genetically modified Wharton's jelly-derived MSCs expressing an antimicrobial peptide SE-33 (WJ-MSC-SE33) effectively reduce bacterial load, inflammation, and mortality in a mouse model of Staphylococcus aureus-induced pneumonia compared with native WJ-MSCs. The present study aimed to evaluate the pharmacokinetics and tissue distribution of the SE-33 peptide expressed by WJ-MSC-SE33 following administration to animals.

METHODS

WJ-MSC-SE33 were administered to C57BL/6 mice at therapeutic and excess doses. The biodistribution and pharmacokinetics of the SE-33 peptide were analyzed in serum, lungs, liver, and spleen using chromatographic methods after single and repeated administrations.

RESULTS

The SE-33 peptide exhibited dose-dependent pharmacokinetics. The highest levels of SE-33 peptide were detected in the liver and lungs, with persistence in tissues for up to 48 h at medium and high doses of administered WJ-MSC-SE33. A repeated administration of WJ-MSC-SE33 increased SE-33 levels in target organs.

CONCLUSIONS

The SE-33 peptide expressed by genetically modified WJ-MSCs demonstrated predictable pharmacokinetics and effective biodistribution. These findings, together with the previously established safety profile of WJ-MSC-SE33, support its potential as a promising cell-based therapy for bacterial infections, particularly those associated with antibiotic resistance.

Mapping dihydropteroate synthase evolvability through identification of a novel evolutionarily critical substructure

Protein evolution shapes pathogen adaptation-landscape, particularly in developing drug resistance. The rapid evolution of target proteins under antibiotic pressure leads to escape mutations, resulting in antibiotic resistance. A deep understanding of the evolutionary dynamics of antibiotic target proteins presents a plausible intervention strategy for disrupting the resistance trajectory. Mutations in Dihydropteroate synthase (DHPS), an essential folate pathway protein and sulfonamide antibiotic target, reduce antibiotic binding leading to anti-folate resistance. Deploying statistical analyses on the DHPS sequence-space and integrating deep mutational analysis with structure-based network-topology models, we identified critical DHPS subsequences. Our frustration landscape analysis suggests how conformational and mutational changes redistribute energy within DHPS substructures. We present an epistasis-based fitness prediction model that simulates DHPS adaptive walks, identifying residue positions that shape evolutionary constraints. Our optimality analysis revealed a substructure central to DHPS evolvability, and we assessed its druggability. Combining evolution and structure, this integrated framework identifies a DHPS substructure with significant evolutionary and structural impact. Targeting this region may constrain DHPS evolvability and slow resistance emergence, offering new directions for antibiotic development.

Genomic Characterization of Potential Opportunistic Zoonotic Streptococcus parasuis Isolated in China

(1) Background: S. parasuis is a potential opportunistic zoonotic pathogen that can infect pigs, cattle, and humans, composed of former members of S. suis serotypes 20, 22, and 26. In recent years, unclassified serotypes and a serotype 11 S. parasuis have been discovered. (2) Methods: We characterized two S. parasuis strains (FZ1 and FZ2) isolated from brain samples of paralyzed pigs and examined evolutionary divergence among 22 available S. parasuis and 8 serotype 2 S. suis genomes through whole-genome sequencing and comparative genomic analysis. We compared virulence genes (VGs) and antibiotic resistance genes (ARGs) and analyzed mobile genetic elements (MGEs) in FZ1 and FZ2. (3) Results: Comparative genomics revealed that srtC, ctpV, and sugC may represent key virulence determinants in S. parasuis, although their pathogenic potential appears attenuated compared to serotype 2 S. suis. In addition, S. parasuis exhibited primary resistance to aminoglycosides, macrolides, tetracyclines, and oxazolidinones, while demonstrating heightened susceptibility to oxazolidinone-class antibiotics. Moreover, we found an important association between MGEs and antibiotic resistance in S. parasuis FZ1 and FZ2. (4) Conclusions: This study provides new insights into the genomic and evolutionary characteristics of S. parasuis and provides a new basis for the study of bacterial pathogenesis and drug resistance in the future.

Novel Antibacterial Approaches and Therapeutic Strategies

The increase in multidrug-resistant organisms worldwide is a major public health threat driven by antibiotic overuse, horizontal gene transfer (HGT), environmental drivers, and deficient infection control in hospitals. In this article, we discuss these factors and summarize the new drugs and treatment strategies suggested to combat the increasing challenges of multidrug-resistant (MDR) bacteria. New treatments recently developed involve targeting key processes involved in bacterial growth, such as riboswitches and proteolysis, and combination therapies to improve efficacy and minimize adverse effects. It also tackles the challenges of the Gram-negative bacterial outer membrane, stressing that novel strategies are needed to evade permeability barriers, efflux pumps, and resistance mechanisms. Other approaches, including phage therapy, AMPs, and AI in drug discovery, are also discussed as potential alternatives. Finally, this review points out the urgency for continued research and development (R&D), industry-academic partnerships, and financial engines to ensure that MDR microbes do not exceed the value of antibacterial therapies.

Emerging antibiotic resistance by various novel proteins/enzymes

BACKGROUND

The emergence and dissemination of antibiotic resistance represents a significant and ever-increasing global threat to human, animal, and environmental health. The explosive proliferation of resistance has ultimately been seen in all clinically used antibiotics. Infections caused by antibiotic-resistant bacteria have been associated with an estimated 4,950,000 deaths annually, with extremely limited therapeutic options and only a few new antibiotics under development. To combat this silent pandemic, a better understanding of the molecular mechanisms of antibiotic resistance is immensely needed, which not only helps to improve the efficacy of current drugs in clinical use but also design new antimicrobial agents that are less susceptible to resistance.

RESULTS

The past few years have witnessed a number of new advances in revealing the molecular mechanisms of AMR. Following five sophisticated mechanisms (efflux pump, antibiotics inactivation by enzymes, alteration of membrane permeability, target modification, and target protection), the roles of various novel proteins/enzymes in the acquisition of antibiotic resistance are constantly being described. They are widely used by clinical bacterial strains, playing a key role in the emergence of resistance.

CONCLUSION

While most of these have so far received less attention, expanding our understanding of these emerging resistance mechanisms is of crucial importance to combat the antibiotic resistance crisis in the world. This review summarizes recent advances in our knowledge of emerging resistance mechanisms in bacteria, providing an update on the current antibiotic resistance threats and encouraging researchers to develop critical strategies for overcoming the resistance.

Species and functional composition of cecal microbiota and resistance gene diversity in different Yunnan native chicken breeds: A metagenomic analysis

The gut microbiota of chickens not only modulates host immune function and production performance through nutrient metabolism but also serves as a reservoir for antibiotic resistance genes (ARGs), whose accumulation exacerbates bacterial resistance. This study integrated 108 cecal microbiome samples from six Yunnan native chicken breeds under free-range and caged farming systems, constructing a comprehensive catalog comprising 12,715 microbial genomes. We systematically revealed the dual mechanisms by which the gut microbiota regulates host phenotypes and ARG dissemination. Metagenomic analysis demonstrated that Alistipes, Prevotella, and Spirochaeta synergistically regulate body weight and immune indices through metabolic networks, which are linked to the significant enrichment of carbohydrate-active enzymes. GH23 and GT2 presented the greatest abundance, highlighting their pivotal role in dietary fiber metabolism. A total of 1327 ARGs were identified, spanning seven resistance mechanisms dominated by antibiotic efflux and target alteration. Alistipes_sp._CAG:831 presented the highest ARG abundance and diversity, with ARG levels strongly correlated with host bacterial abundance. Metagenomic-phenotype association networks further revealed that environmental stress drives disparities in ARG enrichment by altering the microbial community structure. This study elucidates the gut microbiota-host interaction network in Yunnan native chickens and provides critical insights into ARG transmission dynamics, offering a theoretical foundation for antibiotic resistance risk assessment and sustainable poultry farming strategies.

Emergence of highly virulent multidrug and extensively drug resistant Escherichia coli and Klebsiella pneumoniae in buffalo subclinical mastitis cases

This study aimed to characterize virulence and antibiotic resistance genes in multidrug-resistant (MDR) and extensively drug-resistant (XDR) Escherichia coli and Klebsiella pneumoniae isolated from cases of subclinical mastitis (SCM) in buffaloes. A cross-sectional study was conducted on 1540 quarter milk samples collected from 385 buffaloes. Milk samples were screened using the California Mastitis Test and Modified Whiteside Test. Positive samples underwent bacterial culture, biochemical tests, biofilm detection and molecular analysis for pathogen identification and detection of virulence, resistance, and extended-spectrum beta-lactamase (ESBL) genes. The prevalence of SCM was 67.9% (1046/1540) at the quarter level and 80.8% (311/385) at the animal level. E. coli was identified in 9.5% (146/1540) of the samples, while K. pneumoniae was detected in 9.09% (140/1540). Virulence genes, such as stx1 (27.4%), and resistance genes, including aac(3)-iv (77.4%) and tetA (76.7%), exhibited higher prevalence. Additionally, β-lactamase genes, notably blaTEM (67.1%), and ESBL genes, such as blaCTX-M1, were detected. Biofilm formation was detected in 83.6% (122/146) of E. coli isolates and 75.7% (106/140) of K. pneumoniae isolates. Antimicrobial susceptibility testing revealed significant resistance to ampicillin, amoxicillin-clavulanic acid, and aminoglycosides. MDR was observed in 31.5% of E. coli and 39.3% of K. pneumoniae isolates, with XDR rates of 8.9% and 12.9%, respectively. These findings underscore the alarming spread of resistant pathogens in SCM-affected buffaloes, emphasizing the urgent need for ongoing surveillance and targeted intervention strategies.

Telemedicine interventions for improving antibiotic stewardship and prescribing: A systematic review

The global antibiotic resistance crisis necessitates optimized stewardship programs, with telemedicine emerging as a promising delivery strategy. This systematic review evaluated the effectiveness of telemedicine interventions in improving antibiotic stewardship across clinical settings. Following Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, we systematically searched seven databases from January 2010 to July 2024. Two independent reviewers assessed studies using Risk of Bias in Non-randomized Studies (ROBINS-I) and Cochrane Risk of Bias 2.0 tools, with evidence certainty evaluated using Grading of Recommendations Assessment, Development, and Evaluation (GRADE). Twenty-one studies met inclusion criteria (10 observational, 8 quasi-experimental, 2 Randomized Controlled Trials [RCTs], 1 mixed-methods), predominantly from the United States (57.0%, n = 12). Among studies reporting antibiotic use outcomes (52.4%, n = 11), 90.9% demonstrated significant reductions ranging from 5.3% to 62.7%, with the highest-quality evidence showing a 28% reduction (95% Confidence Interval [CI]: 22-34%). Guideline adherence studies (57.1%, n = 12) showed acceptance rates of 67.7% to 98%, with comparable effectiveness between telemedicine and in-person consultation (79.1% vs 80.4%, p = 0.36). Prescribing rate outcomes (38.1%, n = 8) revealed setting-dependent variations: inpatient implementations demonstrated significant reductions (Relative Risk [RR] 0.68; 95% CI: 0.63-0.75), while outpatient findings showed mixed results. Quality assessment revealed predominantly low risk of bias [ROB] (66.7%, n = 14). These findings suggest that telemedicine effectively improves antibiotic stewardship compared to traditional care models, particularly in hospital settings, while outpatient applications demonstrated variable effectiveness. This review was registered with the International Prospective Register of Systematic Reviews (PROSPERO: CRD42023454663).

Whole genome analysis and biocontrol potential of endophytic Bacillus cereus EMS1 against Fusarium wilt in banana

Endophytic bacteria are essential for promoting plant growth and increasing plant resilience to various environmental stresses. Although it is well-documented that several endophytic Bacillus species exhibit plant growth-promoting properties, this is the first report on the genome study of Bacillus cereus EMS1, isolated from Musa acuminata G9 in India. This study analyzed the genomics, plant growth traits, and fusarium wilt mitigation potential of Bacillus cereus EMS1. This analysis identified specific genomic features, including potential mechanisms contributing to plant growth promotion, which were also submitted to NCBI (Bioproject ID: PRJNA784269). The in vivo study showed that EMS1 mitigated the impact of Fusarium oxysporum f. sp. cubense on banana plants. Although it did not affect the number of leaves, other parameters influenced by pathogen infection and EMS1 treatment showed notable differences, including fresh weight (Fusarium oxysporum only: 15 g; EMS1 + Fusarium oxysporum: 21 g), dry weight (Fusarium oxysporum only: 1 g; EMS1 + Fusarium oxysporum: 4.7 g), and root length (Fusarium oxysporum only: 6.5 cm; EMS1 + Fusarium oxysporum: 9 cm). Additionally, genomic analysis revealed that the EMS1 genome contains distinctive genes linked to plant growth and antimicrobial activity. Overall, the findings highlight the potential of endophytic Bacillus cereus EMS1 in promoting plant growth and enhancing banana plant resistance against Fusarium oxysporum.

Geographical and Environmental Factors Differentially Shape Planktonic Microbial Community Assembly and Resistomes Composition in Urban Rivers

Global urbanization accelerates pollution challenges in urban rivers, including increased transmission of bacterial antibiotic resistance genes (ARGs), severely threatening the health of aquatic ecosystems and human health. Yet, systematic knowledge of differences in distribution and community assembly patterns of bacterial resistance across urban rivers at a continental scale is still insufficient. In this study, we conducted extensive sampling in nine representative urban rivers across China. We used amplicon and shotgun metagenomic sequencing, state-of-the-art bioinformatics, and multivariate statistics to investigate distribution patterns and community assembly mechanisms of planktonic microbiomes (i.e., bacterioplankton and planktonic microeukaryotes), including their resistomes, i.e., ARGs and metal resistance genes (MRGs). Geographical and environmental factors played a pivotal role in shaping distribution patterns of planktonic microbiomes vs. resistomes in the studied urban rivers. Phylogenetic-bin-based null model analysis (iCAMP) indicated that planktonic microbiomes, dominated by dispersal limitation and drift, tend toward spatial heterogeneity. In contrast, planktonic resistomes, driven by deterministic processes, display more similar distribution patterns. Cross-validated Mantel tests revealed that geographical factors (i.e., geographic distance) were the primary regulators of planktonic microbial community assembly, while environmental factors (i.e., temperature) control assembly processes of planktonic resistomes. Our findings provide crucial insights into the mechanisms driving the biogeographical distribution and community assembly of planktonic microbial entities in urban rivers at a continental scale, offering valuable implications for mitigating and managing the spread of ARGs from the environment to humans.

Bacteriophage therapy: a possible alternative therapy against antibiotic-resistant strains of Klebsiella pneumoniae

Klebsiella pneumoniae is a notorious, Gram-negative pathogen and is a leading cause of healthcare settings and community-acquired infections. This is the commensal of human microbiota and can invade and cause infections in different body parts. The global emergence of antibiotic resistance in K. pneumoniae has become a major challenge in the whole medical community. Alternative paths to treat the infections caused by these MDR pathogens are needed as these bacteria become resistant to last-resort antibiotics like colistin. The lytic bacteriophages (phages) are the bacteria's natural predators and can rapidly eliminate the bacterial cells. Phages are abundant in nature and have recently been found to be effective tools in modern biotechnology. They can be used to control the bacterial infectious diseases. They can be manipulated easily and potentially used in therapeutics, biotechnology, and research. Several studies, both in vitro and in vivo, have demonstrated the possible applications of the lytic phages in treating K. pneumoniae superbug strains. Phage endolysins have drawn the scientific world's attention because of their involvement in phage adsorption and bacterial capsules digestion. These phage-encoded enzymes digest the polysaccharide components of bacterial cell walls by recognizing and binding them. Phage lysins, being strong biological agents, are capable of effectively and swiftly eliminating bacteria. This review summarizes the information on phages of K. pneumoniae and phage-based therapies to target their bacterial hosts.

Virulence and resistance gene analysis of Rothia nasimurium by whole gene sequencing

A batch of sheep in a sheep farm in Xinjiang, China, died suddenly; a bacterial strain was isolated from the abdominal fluid of the sick and dead sheep, and identified as Rothia nasimurium by 16S sequencing, and the strain Y1 was subjected to drug sensitivity test with Draft gene sequencing. The results of the drug sensitivity test revealed the strain's resistance to 9 antibiotics, with sensitivity exhibited solely towards amikacin and vancomycin. Phylogenetic tree analysis confirmed that it was related to Rothia nasimurium strain E1706032 and Rothia sp.SD9660Na. The draft genome sequencing results showed that the total length of the gene was 2,387,685 bp, and the GC content was 59.35%. VFDB database analysis identified 112 annotated genes in Y1, including those related to bacterial adhesion, regulation, nutrient metabolism factors, hemolysin, immunomodulation, and iron uptake proteins. CARD database analysis showed that Y1 was resistant to a variety of antibiotics such as glycopeptides, tetracyclines, aminoglycosides and polypeptides. Animal pathogenicity tests have shown that Y1 can cause lung damage, coat loss and skin inflammation. This study revealed a series of virulence and drug resistance genes and pathogenicity of Y1. The results of this study have important reference value for prevention and treatment of Rothia infection in the future.

Genetic characterization and transmission of the multidrug resistance gene cfr in fecal and environmental pathways on a chicken farm in China

The emergence and spread of the multidrug-resistant gene cfr have raised significant public health concerns worldwide. To investigate its prevalence and dissemination dynamics, 18 cfr-positive strains were isolated in 2021 from fecal and environmental samples. Antimicrobial susceptibility testing showed that all strains were 100 % multidrug-resistant. Conjugation experiments demonstrated that a cfr- carrying IncFII(K)-IncR-IncFIB multi-replicon plasmid could transfer to E. coli J53. S1-nuclease digestion and Southern blotting identified cfr on plasmids of varying sizes, while whole-genome sequencing confirmed its presence on multiple plasmid types: IncX4, IncN, IncFII(K)-IncR-IncFIB, IncFIB-IncFII-IncR-IncHI2-IncHI2A multi-replicon plasmids, and two plasmids of unknown types. Genetic environment analysis revealed that cfr is categorized into five distinct structures (Types I-V). Reverse PCR results showed that Types I, II, and IV can form three circular intermediates of varying lengths (cfr-IS26). Network analysis further indicated strong association between cfr, tet(M), and dfrA14 mediated by IS26. Phylogenetic analysis revealed that the four ST1140 E. coli strains and all nine K. pneumoniae strains showed minimal genetic divergence. These findings suggest both clonal and horizontal transmission of cfr within the poultry farm. Continuous monitoring of cfr in animal-related environments is essential to mitigate its potential transfer to humans.

Exploring the antibacterial efficacy of Opuntia monacantha in combatting methicillin-resistant Staphylococcus aureus

Public health is seriously threatened by the rise of antibiotic-resistant strains of bacteria, especially methicillin resistant Staphylococcus aureus (MRSA). This study investigated the phytochemical compounds, and possible antibacterial effects of a methanolic extract of the cactus species Opuntia monacantha Haw. against MRSA. The powdered substance was extracted with methanol and filtered, and the filtrate was partitioned with n-hexane, chloroform and ethyl acetate. The fractions with higher percentage yields such as the n-hexane and chloroform fractions went through GC-MS analysis. They consist of various compounds that are known to have strong antioxidant and antimicrobial activities. The antimicrobial activity of the plant was measured via a diffusion assay. On the basis of these results, the Opuntia monacantha crude methanolic extract, and the n-hexane and chloroform fractions significantly inhibited all the MRSA strains used in the test at 100, 75 and 50 mg/mL. Furthermore, the minimum inhibitory concentrations of various fractions of the methanolic extract of Opuntia monacantha were also examined. Therefore, Opuntia could be a promising candidate for strengthening the existing formulations in pharmaceutical science for the treatment of MRSA. However, additional research is necessary before its therapeutic use is recommended. The results are intended to provide important new information for the creation of sustainable and alternative antimicrobial agents.

Explore the Contamination of Antibiotic Resistance Genes (ARGs) and Antibiotic-Resistant Bacteria (ARB) of the Processing Lines at Typical Broiler Slaughterhouse in China

Farms are a major source of antibiotic resistance genes (ARGs) and antibiotic-resistant bacteria (ARB), and previous research mainly focuses on polluted soils and breeding environments. However, slaughtering is an important link in the transmission of ARGs and ARB from farmland to dining table. In this study, we aim to reveal the pollution of ARGs and ARB in the slaughter process of broilers. First, by qualitative and quantitative analysis of ARGs in samples collected from the broiler slaughtering and processing production chain, the contamination level of ARGs was reflected; secondly, potential hosts for ARGs and microbial community were analyzed to reflect the possible transmission rules; thirdly, through the antibiotic susceptibility spectrum analysis of four typical food-borne pathogens, the distribution of ARB was revealed. The results showed that 24 types of ARGs were detected positive on the broiler slaughter production line, and tetracycline-resistance genes (20.45%) were the most frequently detected. The types of ARGs vary with sampling process, and all sampling links contain high levels of sul2 and intI1. The most abundant ARGs were detected in chicken surface in the scalding stage and entrails surface in the evisceration stage. There was a significant correlation between intI1 and tetM, suggesting that tetM might be able to enter the human food chain through class-1 integrons. The host range of the oqxB gene is the most extensive, including Sphingobacterium, Bacteroidia unclassified, Rothia, Microbacterium, Algoriella, etc. In the relevant links of the slaughter production line, the microbial community structure is similar. Removing viscera may cause diffusion of ARGs carried by intestinal microorganisms and contaminate chicken and following processing production. The four food-borne pathogens we tested are widely present in all aspects of the slaughter process, and most of them have multi-drug resistance and even have a high degree of resistance to some veterinary drugs banned by the Ministry of Agriculture. Our study preliminarily revealed the pollution of ARGs and ARB in the slaughter process of broilers, and these results are helpful to carry out food safety risk assessment and formulate corresponding control measures.

FGeneBERT: function-driven pre-trained gene language model for metagenomics

Metagenomic data, comprising mixed multi-species genomes, are prevalent in diverse environments like oceans and soils, significantly impacting human health and ecological functions. However, current research relies on K-mer, which limits the capture of structurally and functionally relevant gene contexts. Moreover, these approaches struggle with encoding biologically meaningful genes and fail to address the one-to-many and many-to-one relationships inherent in metagenomic data. To overcome these challenges, we introduce FGeneBERT, a novel metagenomic pre-trained model that employs a protein-based gene representation as a context-aware and structure-relevant tokenizer. FGeneBERT incorporates masked gene modeling to enhance the understanding of inter-gene contextual relationships and triplet enhanced metagenomic contrastive learning to elucidate gene sequence-function relationships. Pre-trained on over 100 million metagenomic sequences, FGeneBERT demonstrates superior performance on metagenomic datasets at four levels, spanning gene, functional, bacterial, and environmental levels and ranging from 1 to 213 k input sequences. Case studies of ATP synthase and gene operons highlight FGeneBERT's capability for functional recognition and its biological relevance in metagenomic research.

Blue benzoquinone from scorpion venom shows bactericidal activity against drug-resistant strains of the priority pathogen Acinetobacter baumannii

Antibiotic-resistant bacteria pose a significant global health threat, particularly pathogens resistant to last-resort antibiotics, such as those listed as priority pathogens by the World Health Organization. Addressing this challenge requires the development of novel antimicrobial agents. Previously, we identified a blue 1,4-benzoquinone isolated from the venom of the Mexican scorpion Diplocentrus melici as a potent antimicrobial compound effective against Staphylococcus aureus and Mycobacterium tuberculosis. Moreover, we devised a cost-effective synthetic route for its production. In this study, we demonstrate that the blue benzoquinone exhibits antibacterial activity against additional pathogens, including the priority pathogen Acinetobacter baumannii. Notably, the compound effectively killed clinical strains of A. baumannii resistant to multiple antibiotics, including carbapenem and colistin. Furthermore, A. baumannii did not develop resistance to the benzoquinone even after multiple growth cycles under sub-inhibitory concentrations, unlike the tested antibiotics. These findings underscore the potential of this blue benzoquinone as a lead compound for the development of a new class of antibiotics targeting multidrug-resistant bacteria.

Phage treatment of multidrug-resistant bacterial infections in humans, animals, and plants: The current status and future prospects

Phages, including the viruses that lyse bacterial pathogens, offer unique therapeutic advantages, including their capacity to lyse antibiotic-resistant bacteria and disrupt biofilms without harming the host microbiota. The lack of new effective antibiotics and the growing limitations of existing antibiotics have refocused attention on phage therapy as an option in complex clinical cases such as burn wounds, cystic fibrosis, and pneumonia. This review describes clinical cases and preclinical studies in which phage therapy has been effective in both human and veterinary medicine, and in an agricultural context. In addition, critical challenges, such as the narrow host range of bacteriophages, the possibility of bacterial resistance, and regulatory constraints on the widespread use of phage therapy, are addressed. Future directions include optimizing phage therapy through strategies ranging from phage cocktails to broadening phage host range through genetic modification, and using phages as vaccines or biocontrol agents. In the future, if phage can be efficiently delivered, maintained in a stable state, and phage-antibiotic synergy can be achieved, phage therapy will offer much needed treatment options. However, the successful implementation of phage therapy within the current standards of practice will also require the considerable development of regulatory infrastructure and greater public acceptance. In closing, this review highlights the promise of phage therapy as a critical backup or substitute for antibiotics. It proposes a new role as a significant adjunct to, or even replacement for, antibiotics in treating multidrug-resistant bacterial infections.

Acquired Bacterial Resistance to Antibiotics and Resistance Genes: From Past to Future

The discovery, commercialization, and regular administration of antimicrobial agents have revolutionized the therapeutic paradigm, making it possible to treat previously untreatable and fatal infections. However, the excessive use of antibiotics has led to develop resistance soon after their use in clinical practice, to the point of becoming a global emergency. The mechanisms of bacterial resistance to antibiotics are manifold, including mechanisms of destruction or inactivation, target site modification, or active efflux, and represent the main examples of evolutionary adaptation for the survival of bacterial species. The acquirement of new resistance mechanisms is a consequence of the great genetic plasticity of bacteria, which triggers specific responses that result in mutational adaptation, acquisition of genetic material, or alteration of gene expression, virtually producing resistance to all currently available antibiotics. Understanding resistance processes is critical to the development of new antimicrobial agents to counteract drug-resistant microorganisms. In this review, both the mechanisms of action of antibiotic resistance (AMR) and the antibiotic resistance genes (ARGs) mainly found in clinical and environmental bacteria will be reviewed. Furthermore, the evolutionary background of multidrug-resistant bacteria will be examined, and some promising elements to control or reduce the emergence and spread of AMR will be proposed.

Whole-Genome Sequencing of Extended-Spectrum β-Lactamase-Producing Klebsiella pneumoniae Isolated from Human Bloodstream Infections

Klebsiella pneumoniae is a Gram-negative bacterium commonly associated with bloodstream infections (BSIs), which can lead to severe clinical outcomes, especially in immunocompromised individuals or patients with underlying health conditions. The increasing prevalence of K. pneumoniae that produces extended-spectrum β-lactamases (ESBL) poses a significant challenge for treatment and infection control, necessitating a swift diagnostic approach and tailored antimicrobial therapy to improve patient outcomes. A total of 32 K. pneumoniae isolates were recovered from BSIs from December 2021 to August 2022. Whole-genome sequencing (WGS) was performed on the 14 ESBL-producing isolates. All ESBL isolates carried the blaCTX-M-15 gene, together with other β-lactamase-encoding genes (blaTEM-1, blaSHV-28, blaSHV-26, or blaOXA-1). Three of the isolates also carried the blaKPC-3 gene. Resistance genes to quinolones, sulfonamides, tetracycline, aminoglycosides, and chloramphenicol were also detected. We can conclude that the presence of ESBL-producing isolates among K. pneumoniae of BSIs raises concerns, since these enzymes limit the available treatment options, and future research must include studies on alternative therapies for dealing with resistant bacterial infections and developing new approaches to disease treatment.

Characterization of the genome editing with miniature DNA nucleases TnpB and IscB in Escherichia coli strains

DNA endonucleases TnpB and IscB are emerging candidates for combating drug-resistant bacteria, particularly Escherichia coli, due to their specificity in targeting DNA and smaller size. However, the genome-editing of TnpB/IscB in E. coli remains unclear. This study characterized the genome editing of TnpB/IscB in different E. coli strains. First, the toxicity and cleavage results indicated TnpB was effective only in MG1655, whereas IscB and enIscB demonstrated functionality in ATCC9637/BL21(DE3). Subsequently, a genome-editing tool was established in MG1655 by using TnpB (as a thermophilic programmable endonuclease), achieving up to 100% editing efficiency, while IscB/enIscB achieved editing in ATCC9637/BL21(DE3). Additionally, the editing plasmids were successfully cured. Finally, the mechanism underlying the escape of E. coli during TnpB/IscB editing was elucidated. Overall, this study successfully applied TnpB/IscB/enIscB to genome editing in E. coli, which will expand the genetic manipulation toolbox in E. coli and facilitate the development of the antimicrobial drugs.

Detection of Possible Resistance Mechanisms in Uropathogenic Escherichia coli Strains Isolated from Kidney Transplant Recipients Based on Whole Genome Sequencing

BACKGROUND

Urinary tract infections are a global health concern, with uropathogenic Escherichia coli (UPEC) accounting for 80-90% of cases. Given the rise in antimicrobial resistance, our aim was to elucidate the genetic mechanisms behind low-level resistance to ciprofloxacin and fosfomycin (LLCR and LLFR) in UPEC strains, using whole-genome sequencing (WGS) to identify point mutations in chromosomal and plasmid genes.

METHODS

A cohort UPEC was collected from kidney transplant recipients at the Virgen del Rocío University Hospital, Spain. Minimum inhibitory concentrations were determined for ciprofloxacin and fosfomycin to categorize strains into LLCR and LLFR. Twenty strains were selected for WGS, with genome annotations. Point mutations were identified and analyzed using alignment tools, and protein stability changes were predicted.

RESULTS

LLCR strains exhibited mutations in key quinolone resistance-determining regions of the gyrA gene, in 83% of cases. The qnrS1 plasmid gene was found in 17% of LLCR strains. LLFR strains showed mutations in the glpT and cyaA genes. Mutations in the uhp gene family were linked to the fosfomycin-resistant phenotype, suggesting a multi-step resistance evolution mechanism.

CONCLUSIONS

This study highlights the complex interplay between chromosomal and plasmid genes in UPEC's resistance to ciprofloxacin and fosfomycin. The findings contribute to understanding low-level resistance mechanisms and may guide the development of novel therapeutic strategies to combat multidrug-resistant strains.

Exogenous plasmid capture to characterize tetracycline-resistance plasmids in sprouts obtained from retail in Germany

This study aimed to characterize antibiotic-resistance plasmids present in microorganisms from sprout samples using exogenous plasmid capture. Fresh mung bean sprouts were predominantly colonized by bacteria from the phyla Proteobacteria and Bacteroidetes. To capture plasmids, a plasmid-free Escherichia (E.) coli CV601 strain, containing a green fluorescent protein gene for selection, was used as the recipient strain in exogenous plasmid capture experiments. Transconjugants were selected on media containing cefotaxime or tetracycline antibiotics. While no cefotaxime-resistant transconjugants were obtained, 40 tetracycline-resistant isolates were obtained and sequenced by Illumina NextSeq short read and Nanopore MinION long read sequencing. Sequences were assembled using Unicycler hybrid assembly. Most of the captured long plasmids carried either the tet(A) or tet(D) resistance gene, belonged to the IncFI or IncFII replicon types, and were predicted as conjugative. While the smaller plasmids contained the tet(A) tetracycline resistance gene as well as additional quinolone (qnrS1), sulfonamide (sul1) and trimethoprim (dfrA1) resistance genes, the larger plasmids only contained the tet(D) resistance gene. An exception was the largest 192 kbp plasmid isolated, which contained the tet(D), as well as sulfonamide (sul1) and streptomycin (aadA1) resistance genes. The smaller plasmid was isolated from different sprout samples more often and showed a 100% identity in size (71,155 bp), while the 180 kbp plasmids showed some smaller or larger differences (in size between 157,683 to 192,360 bp). This suggested that the plasmids obtained from the similar sprout production batches could be clonally related. Nanopore MinION based 16S metagenomics showed the presence of Enterobacter (En.) cloacae, En. ludwigii, En. kobei, Citrobacter (C.) werkmanii, C. freundii, Klebsiella (K.) oxytoca and K. pneumonia, which have previously been isolated from fresh produce in Germany. These bacteria may harbor antibiotic resistance genes on plasmids that could potentially be transferred to similar genera. This study demonstrated that bacteria present in sprouts may act as the donors of antibiotic resistance plasmids which can transfer resistance to other bacteria on this product via conjugation.

Genomic insights into the beneficial potential of Bifidobacterium and Enterococcus strains isolated from Cameroonian infants

A healthy early-life gut microbiota plays an important role in maintaining immediate and long-term health. Perturbations, particularly in low- to middle-income communities, are associated with increased infection risk. Thus, a promising avenue for restoring a healthy infant microbiota is to select key beneficial bacterial candidates from underexplored microbiomes for developing new probiotic-based therapies. This study aimed to recover bifidobacteria and lactic acid bacteria from the faeces of healthy Cameroonian infants and unravel the genetic basis of their beneficial properties. Faecal samples were collected from 26 infants aged 0-5 months recruited in Dschang (Cameroon). Recovered bacterial isolates were subjected to whole-genome sequencing and in silico analysis to assess their potential for carbohydrate utilization, their antimicrobial capacities, host-adaptation capabilities and their safety. From the range of infant-associated Bifidobacterium and Enterococcus strains identified, Bifidobacterium species were found to harbour putative gene clusters implicated in human milk oligosaccharide metabolism. Genes linked to the production of antimicrobial peptides such as class IV lanthipeptides were found in Bifidobacterium pseudocatenulatum, while those implicated in biosynthesis of cytolysins, enterolysins, enterocins and propeptins, among others, were identified in enterococci. Bifidobacterial isolates did not contain genes associated with virulence; however, we detected the presence of putative tetracycline resistance genes in several strains belonging to Bifidobacterium animalis subsp. lactis and Bifidobacterium longum subsp. longum. Among the enterococci, Enterococcus mundtii PM10 did not carry any genes associated with antimicrobial resistance or virulence. The latter, together with all the Bifidobacterium strains, also encoded several putative adaptive and stress-response-related genes, suggesting robust gastroinstestinal tract colonization potential. This work provides the first genomic characterization of Bifidobacterium and Enterococcus isolates from Cameroonian infants. Several strains showed the genomic potential to confer beneficial properties. Further phenotypic and clinical investigations are needed to confirm their suitability as customized probiotics.

Dynamics of antibiotic resistance in poultry farms via multivector analysis

This study examines the distribution of microbial communities and antibiotic resistance genes (ARGs) across various vectors in poultry farm environments. The results show that airborne particulate matter (PM) and soil harbor the highest counts of microbial genes, exceeding those found in poultry visceral samples, which display lower microbial diversity and ARG levels. This highlights environmental vectors, particularly soil and PM, as major reservoirs for ARGs. Proteobacteria, predominantly present in feces and feed, are identified as key carriers of ARGs, with resistance mechanisms primarily involving efflux and target modification. Notably, Chlamydia spp. in visceral samples, despite lower overall abundance, show a high proportion of ARGs, raising concerns about ARG persistence in poultry microbiota. Furthermore, a significant correlation between different ARGs was detected, indicating the possibility of cooperative transmission processes. The findings underline the role of PM in ARG transmission due to its mobility and capacity to retain ARGs across distances. Additionally, therapeutic antibiotics in feed may contribute to ARG proliferation in animal microbiomes, suggesting a need for improved management practices to mitigate ARG spread in poultry farming environments.

Flies as carriers of antimicrobial resistant (AMR) bacteria in Nigerian hospitals: A workflow for surveillance of AMR bacteria carried by arthropod pests in hospital settings

The dissemination of antimicrobial resistant (AMR) bacteria by flies in hospitals is concerning as nosocomial AMR infections pose a significant threat to public health. This threat is compounded in low- and middle-income countries (LMICs) by several factors, including limited resources for sufficient infection prevention and control (IPC) practices and high numbers of flies in tropical climates. In this pilot study, 1,396 flies were collected between August and September 2022 from eight tertiary care hospitals in six cities (Abuja, Enugu, Kaduna, Kano, Lagos and Sokoto) in Nigeria. Flies were screened via microbiological culture and bacterial isolates were phenotypically and genetically characterised to determine carriage of clinically important antibiotic resistance genes (ARGs). Several clinically relevant ARGs were found in bacteria isolated from flies across all hospitals. blaNDM was detected in 8% of flies and was predominantly carried by Providencia spp. alongside clinically relevant Enterobacter spp, Escherichia coli and Klebsiella pneumoniae isolates, which all exhibited a multidrug resistant phenotype. mecA was detected at a prevalence of 6.4%, mostly in coagulase-negative Staphylococci (CoNS) as well as some Staphylococcus aureus, of which 86.8% were multidrug resistant. 40% of flies carried bacteria with at least one of the two ESBL genes tested (blaOXA-1 and blaCTX-M-15). This multi-site study emphasised that flies in hospital settings carry bacteria that are resistant to multiple classes of antibiotics, including both routinely used and reserve antibiotics. A greater understanding of the global clinical significance and burden of AMR attributable to insect pests is required.

Evaluation of the resistome and gut microbiome composition of hospitalized patients in a health unit of southern Brazil coming from a high animal husbandry production region

Introduction

Antimicrobial resistance (AMR) poses a significant threat to global public health. The One Health approach, which integrates human, animal, and environmental health, highlights the roles of agricultural and hospital settings in the propagation of AMR. This study aimed to analyze the resistome and gut microbiome composition of individuals from a high-intensity animal husbandry area in the western region of Santa Catarina, Southern Brazil, who were subsequently admitted to the University Hospital in the city of Florianopolis, located in the eastern part of the same state.

Methods

Rectal swab samples were collected upon admission and discharge. Metagenomic sequencing and resistome analysis were employed to identify antimicrobial resistance genes (ARGs) and their associated bacterial taxa. Additionally, the impact of the hospital environment on the resistome and microbiome profiles of these patients was assessed.

Results

A total of 247 genetic elements related to AMR were identified, with 66.4% of these elements present in both admission and discharge samples. Aminoglycoside resistance genes were the most prevalent, followed by resistance genes for tetracyclines and lincosamides. Notably, unique resistance genes, including dfrF and mutations in gyrB, were identified at discharge. ARGs were associated with 55 bacterial species, with Lactobacillus fermentum, harboring the ermB gene. (MLSB), detected in both admission and discharge samples. The most prevalent bacterial families included Mycobacteriaceae, Enterobacteriaceae, and Bacteroidaceae. Among these, Mycobacteriaceae was the most abundant, with ARGs primarily associated with mutations in the 16S rRNA gene, RNA polymerase subunits, and gyrases.

Discussion

The study revealed a high prevalence of genes related to aminoglycoside and tetracycline resistance, with a notable increase in certain resistance determinants at discharge, likely influenced by extended antimicrobial use. The presence of mcr genes, associated with colistin resistance, in both admission and discharge samples from a single patient highlights a concerning trend in AMR, particularly in relation to animal husbandry. These findings underscore the substantial impact of antimicrobial use on resistance development and the complex dynamics of the resistome in hospital settings. They also emphasize the influence of local factors, such as intensive animal production, on resistance patterns and advocate for ongoing surveillance and policy development to manage multidrug-resistant bacteria eVectively.

Developing a Versatile Arsenal: Novel Antimicrobials as Offensive Tools Against Pathogenic Bacteria

The pervasive and often indiscriminate use of antibiotics has accelerated the emergence of drug-resistant bacterial strains, thus presenting an acute threat to global public health. Despite a growing acknowledgment of the severity of this crisis, the current suite of strategies to mitigate antimicrobial resistance remains markedly inadequate. This paper asserts the paramount need for the swift development of groundbreaking antimicrobial strategies and provides a comprehensive review of an array of innovative techniques currently under scrutiny. Among these, nano-antimicrobials, antimicrobials derived from ribosomal proteins, CRISPR/Cas-based systems, agents that undermine bacterial bioenergetics, and antimicrobial polysaccharides hold particular promise. This analysis gives special attention to CRISPR/Cas-based antimicrobials, scrutinizing their underlying mechanisms, exploring their potential applications, delineating their distinct advantages, and noting their likely limitations. Furthermore, we extend our exploration by proposing theoretical advancements in antimicrobial technology and evaluating feasible methods for the effective delivery of these agents. This includes leveraging these advances for broader biomedical applications, potentially revolutionizing how we confront bacterial pathogens in the future, and laying a foundation for extended research in multimodal therapeutic strategies.

Bioaerosol emission characteristics and potential risks during composting: Focus on pathogens and antimicrobial resistance

In this study, we analyzed bioaerosol emission characteristics and potential risks of antimicrobial resistance (AMR) during composting using the impaction culture method and metagenomic sequencing. The results showed that the highly saturated water vapor in the emission gas mitigated particulate matter emission during the thermophilic period. About the bioaerosols, the airborne aerobic bacterial emissions were suppressed as composting enters the mature period, and the airborne fungi are usually present as single-cell or small-cell aggregates (< 3.3 µm). In addition, the microbial community structure in bioaerosols was stable and independent of composting time. Most importantly, the PM2.5 in bioaerosols contained large amounts of antibiotic resistance genes (ARGs), potential pathogens, and multidrug resistant pathogens, which were diverse and present in high concentrations. Among them, ARGs concentrations encoding 21 antibiotics ranged from - 4.50 to 0.70 ppm/m3 (Log10 ARGs). Among the 89 potential human pathogens detected, Escherichia coli, Salmonella enterica, Klebsiella pneumoniae, and Staphylococcus aureus were the only culturable potentially multidrug resistant pathogens carrying multiple ARGs encoding resistance at high concentrations (- 0.57 to 1.15 ppm/m3 (Log10 ARGs)), and were more likely to persist and multiply in oligotrophic environments. Our findings indicate that composting technology can transfer AMR from solid compost to gas phase and increase the risk of AMR transmission.

Unveiling novel antimicrobial peptides from the ruminant gastrointestinal microbiomes: A deep learning-driven approach yields an anti-MRSA candidate

INTRODUCTION

Antimicrobial peptides (AMPs) present a promising avenue to combat the growing threat of antibiotic resistance. The ruminant gastrointestinal microbiome serves as a unique ecosystem that offers untapped potential for AMP discovery.

OBJECTIVES

The aims of this study are to develop an effective methodology for the identification of novel AMPs from ruminant gastrointestinal microbiomes, followed by evaluating their antimicrobial efficacy and elucidating the mechanisms underlying their activity.

METHODS

We developed a deep learning-based model to identify AMP candidates from a dataset comprising 120 metagenomes and 10,373 metagenome-assembled genomes derived from the ruminant gastrointestinal tract. Both in vivo and in vitro experiments were performed to examine and validate the antimicrobial activities of the AMP candidates that were selected through bioinformatic analysis and subsequently synthesized chemically. Additionally, molecular dynamics simulations were conducted to explore the action mechanism of the most potent AMP candidate.

RESULTS

The deep learning model identified 27,192 potential secretory AMP candidates. Following bioinformatic analysis, 39 candidates were synthesized and tested. Remarkably, all synthesized peptides demonstrated antimicrobial activity against Staphylococcus aureus, with 79.5% showing effectiveness against multiple pathogens. Notably, Peptide 4, which exhibited the highest antimicrobial activity against methicillin-resistant Staphylococcus aureus (MRSA), confirmed this effect in a mouse model with wound infection, exhibiting a low propensity for resistance development and minimal cytotoxicity and hemolysis towards mammalian cells. Molecular dynamics simulations provided insights into the mechanism of Peptide 4, primarily its ability to disrupt bacterial cell membranes, leading to cell death.

CONCLUSION

This study highlights the power of combining deep learning with microbiome research to uncover novel therapeutic candidates, paving the way for the development of next-generation antimicrobials like Peptide 4 to combat the growing threat of MRSA would infections. It also underscores the value of utilizing ruminant microbial resources.

Probing the interaction mechanisms between three β-lactam antibiotics and penicillin-binding proteins of Escherichia coli by molecular dynamics simulations

The presence of antibiotic residues in the aquatic environments poses great potential risks to the aquatic organisms, and even human health. Elucidating the interaction mechanisms between antibiotics and biomacromolecules is crucial for accurately assessing and preventing their potential risks. Therefore, the toxicity of three beta-lactam antibiotics on Escherichia coli (E. coli) was investigated by using the time-dependent toxicity microplate analysis method in this study. Then, molecular docking and molecular dynamics simulation technologies were used to elucidate the potential molecular interactions between β-lactam antibiotics and penicillin-binding proteins of E. coli, and their correlation with the physical and chemical behaviors observed in the physiological and biochemical experiments. The results show that three antibiotics exert inhibitory effects on E. coli cells by modifying their membrane permeability, and even more severe cell damage including rupture, wrinkling, adhesion, indentation, elongation and size alterations. But, toxic effect of the three antibiotics on E. coli varies, and toxicity order is followed by meropenem > cefoperazone > amoxicillin. Van der Waals forces play a vital role in the molecular interactions between the three antibiotics penicillin binding protein of E. coli and the sequence of binding free energy is consistent with the observed toxicity order. Shape compensation is the principal determinant for the binding of antibiotics to penicillin binding proteins, which pertains to the drug-induced alteration in the three-dimensional conformation of penicillin binding proteins.

A phenotypic study of the resistome in a peri-urban ecosystem

Since the discovery of antibiotics, the dispersion of resistance genes has increased exponentially, leading to the current state in which it has become increasingly difficult to achieve an effective treatment for infectious diseases. The enormous capacity for genetic exchange between microorganisms is causing resistance genes to be able to reach all environments, even those where there is no anthropogenic impact or exposure to these drugs. In this work, a phenotypic study of the resistome has been conducted in a peri-urban ecosystem (Granada, Spain), wherein the resistance to 32 antibiotics of 710 bacterial strains isolated from 70 samples from different ecological niches with varying levels of exposure to antibiotics and anthropic action has been determined. The study of resistances using phenotypic procedures constitutes a very useful and complementary alternative to genomic methods. The obtained results show a high percentage of resistance in all the subsystems analysed, stating high multi-resistance profiles. Vancomycin and erythromycin were the antibiotics to which the highest levels of resistance were observed, whereas the lowest levels were obtained in chloramphenicol. Regarding the environments studied, the highest percentages of resistance were found in wastewater, farms and food. It should be noted that in natural soil samples (not exposed to antibiotics or anthropogenic activities), worrying levels of resistance to practically all the groups of antibiotics analysed were detected. These results support the generally accepted conclusion that an appropriate control and management of wastewater and solid waste that may contain antibiotics or resistant bacteria is really important to prevent the wide propagation of the resistome in the environment.

High-Throughput Shotgun Metagenomics of Microbial Footprints Uncovers a Cocktail of Noxious Antibiotic Resistance Genes in the Winam Gulf of Lake Victoria, Kenya

Background: A diverse range of pollutants, including heavy metals, agrochemicals, pharmaceutical residues, illicit drugs, personal care products, and other anthropogenic contaminants, pose a significant threat to aquatic ecosystems. The Winam Gulf of Lake Victoria, heavily impacted by surrounding human activities, faces potential contamination from these pollutants. However, studies exploring the presence of antibiotic resistance genes (ARGs) in the lake remain limited. In the current study, a shotgun metagenomics approach was employed to identify ARGs and related pathways. Genomic DNA was extracted from water and sediment samples and sequenced using the high-throughput Illumina NovaSeq platform. Additionally, phenotypic antibiotic resistance was assessed using the disk diffusion method with commonly used antibiotics. Results: The analysis of metagenomes sequences from the Gulf ecosystem and Comprehensive Antibiotic Resistance Database (CARD) revealed worrying levels of ARGs in the lake. The study reported nine ARGs from the 37 high-risk resistant gene families previously documented by the World Health Organization (WHO). Proteobacteria had the highest relative abundance of antibiotic resistance (53%), Bacteriodes (4%), Verrucomicrobia (2%), Planctomycetes Chloroflexi, Firmicutes (2%), and other unclassified bacteria (39%). Genes that target protection, replacement, change, and antibiotic-resistant efflux were listed in order of dominance. Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway analysis revealed antibiotic resistance to beta-lactamase and vancomycin. Phenotypic resistance to vancomycin, tetracycline, sulfamethoxazole, erythromycin, trimethoprim, tetracycline, and penicillin was reported through the zone of inhibition. Conclusions: This study highlights that the Winam Gulf of Lake Victoria in Kenya harbors a diverse array of antibiotic-resistant genes, including those conferring multidrug resistance. These findings suggest that the Gulf could be serving as a reservoir for more antibiotic-resistant genes, posing potential risks to both human health and aquatic biodiversity. The insights gained from this research can guide policy development for managing antibiotic resistance in Kenya.

Contamination Characteristics of Antibiotic Resistance Genes in Multi-Vector Environment in Typical Regional Fattening House

Antibiotic resistance genes (ARGs) are emerging as significant environmental contaminants, posing potential health risks worldwide. Intensive livestock farming, particularly swine production, is a primary contributor to the escalation of ARG pollution. In this study, we employed metagenomic sequencing and quantitative polymerase chain reaction to analyze the composition of microorganisms and ARGs across four vectors in a typical swine fattening facility: dung, soil, airborne particulate matter (PM), and fodder. Surprisingly, soil and PM harbored a higher abundance of microorganisms and ARGs than dung. At the same time, fodder was more likely to carry eukaryotes. Proteobacteria exhibited the highest propensity for carrying ARGs, with proportions 9-20 times greater than other microorganisms. Furthermore, a strong interrelation among various ARGs was observed, suggesting the potential for cooperative transmission mechanisms. These findings underscore the importance of recognizing soil and PM as significant reservoirs of ARGs in swine facilities alongside dung. Consequently, targeted measures should be implemented to mitigate their proliferation, mainly focusing on airborne PM, which can rapidly disseminate via air currents. Proteobacteria, given their remarkable carrying capacity for ARGs with the primary resistance mechanism of efflux, represent a promising avenue for developing novel control strategies against antibiotic resistance.

Dairy farm waste: A potential reservoir of diverse antibiotic resistance and virulence genes in aminoglycoside- and beta-lactam-resistant Escherichia coli in Gansu Province, China

Aminoglycosides (AGs) and beta-lactams are the most commonly used antimicrobials in animal settings, particularly on dairy farms. Dairy farm waste is an important reservoir of antibiotic resistance genes (ARGs) and virulence genes (VGs) in environmental Escherichia coli, which is an important indicator of environmental contamination and foodborne pathogen that potentially threaten human and animal health. In the present study, we aimed to characterize the ARGs and VGs in AG- and beta-lactam-resistant E. coli from dairy farm waste in Gansu Province, China. The dairy farm waste consisted of fecal (n = 265) and sewage (n = 54) samples processed using standard microbiological techniques and the Clinical & Laboratory Standards Institute guidelines. The total DNA of AG- and beta-lactam-resistant E. coli was extracted, and whole-genome sequencing (WGS) was performed using the Illumina NovaSeq platform and analyzed using various bioinformatics tools. In this study, among 84.3% (269/319) of the E. coli strains, 23.8% (64/269) were identified as AG- and beta-lactam-resistant E. coli. WGS analysis revealed a large pool of ARGs belonging to multiple classes such as AGs, beta-lactams, aminocoumarins, fluoroquinolones, macrolides, phenicol, tetracyclines, phosphonic acid, disinfecting and antiseptic agents, elfamycin, rifamycin, and multidrug resistance genes. Furthermore, virulome analysis of 64 E. coli strains revealed clinically important virulence factors associated with adherence, biofilm, invasion, auto-transportation, siderophores, secretion systems, toxins, anti-phagocytosis, quorum sensing, regulation, metabolism, and motility. We identified dairy farm feces and sewage waste as important reservoirs of antimicrobial resistance and virulence determinants in E. coli in Gansu, China, which can threaten human and animal health through ecological exposure and contamination of food and water. We recommend continuous large-scale surveillance in dairy farm settings to formulate protective guidelines for public health safety.

Differential Expression of fimH, ihf, upaB, and upaH Genes in Biofilms- and Suspension-Grown Bacteria From Samples of Different Uropathogenic Strains of Escherichia coli

Uropathogenic Escherichia coli (UPEC) strains are the main bacteria that cause urinary tract infections (UTIs). UPEC are a significant public health hazard due to their high proliferation, antibiotic resistance, and infection recurrence. The ability to form biofilms is a mechanism of antibiotic resistance, which requires the expression of different genes such as fimH, ihf, upaB, and upaH. Despite the relevance of biofilm formation in bacterial pathogenicity, differences in the expression level of these genes among bacterial growth conditions have been little studied. Here, we have characterized the expression of fimH, ihf, upaB, and upaH genes in biofilms and suspension-grown bacteria of different E. coli strains. These included the UPEC CFT073, the multidrug-resistant strain CDC-AR-0346, and clinical isolates obtained from UTI patients. The expression of fimH, ihf, upaB, and upaH was markedly heterogeneous in clinical isolates, both in terms of transcript levels and response to suspension or biofilm conditions. That expression pattern was distinct from the one in UPEC CFT073, where upaB and upaH were upregulated and ihf and fimH were slightly downregulated in biofilm. In conclusion, the data presented here show that the pattern of biofilm-associated genes in the clinical isolates from UTI patients is not fully related to the reference strain of UPEC CFT073. However, analysis of a larger number of samples is required.

Research progress and application of bacterial traceability technology

Bacterial traceability refers to the use of a range of techniques to trace the origins and transmission pathways of bacteria. It is crucial in controlling the spread of diseases, analyzing bioterrorism incidents, and advancing microbial forensics. In recent years, the frequency and scope of bacterial outbreaks have continued to escalate, exerting significant impacts on global biosecurity, public health, and other areas. Consequently, it is required to process traceability of bacteria timely and accurately around the globe. The rapid development of biological and physicochemical traceability techniques provides convenience for tracing bacteria. These techniques not only surpass traditional methods in terms of sensitivity, traceability and throughput, but also find more extensive applications in elucidating bacterial growth mechanisms, transmission routes, and geographical origins. This paper systematically reviews the latest research progress and applications of technologies of bacterial traceability, highlighting key advancements and projecting future trends, with the intent of providing a valuable reference for researchers, facilitating further studies and innovations in this field.