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Environment International May 2020Antibiotic or antimicrobial resistance (AR) facilitated by the vertical and/or horizontal transfer of antibiotic resistance genes (ARGs), is a serious global health... (Review)
Review
Antibiotic or antimicrobial resistance (AR) facilitated by the vertical and/or horizontal transfer of antibiotic resistance genes (ARGs), is a serious global health challenge. While traditionally associated with pathogens in clinical environments, it is becoming increasingly clear that non-clinical environments may also be reservoirs of ARGs. The recent improvements in rapid and affordable next generation sequencing technologies along with sophisticated bioinformatics platforms has the potential to revolutionize diagnostic microbiology and microbial surveillance. Through the study and characterization of ARGs in bacterial genomes and complex metagenomes, we are now able to reveal the genetic scope of AR in single bacteria and complex communities, and obtain important insights into AR dynamics at species, population and community levels, providing novel epidemiological and ecological perspectives. A suite of bioinformatics pipelines and ARG databases are currently available for genomic and metagenomic data analyses. However, different platforms may significantly vary and therefore, it is crucial to choose the tools that are most suitable for the specific analysis being conducted. This review provides a detailed account of available bioinformatics platforms for identification and characterization of ARGs and associated genetic elements within single bacterial isolates and complex environmental samples. It focuses primarily on currently available ARG databases, employing a comprehensive benchmarking pipeline to identify ARGs in four bacterial genomes (Aeromonas salmonicida, Bacillus cereus, Burkholderia sp. and Escherichia coli) and three shotgun metagenomes (human gut, poultry litter and soil) providing insight into which databases should be used for different analytical scenarios.
Topics: Anti-Bacterial Agents; Bacteria; Drug Resistance, Microbial; Genes, Bacterial; Genome, Bacterial; Humans; Metagenome
PubMed: 32234679
DOI: 10.1016/j.envint.2020.105667 -
Sheng Wu Gong Cheng Xue Bao = Chinese... Dec 2020The discovery of antibiotics is a big revolution in human history, and its clinical application has saved countless lives. However, with the widespread and abuse of... (Review)
Review
The discovery of antibiotics is a big revolution in human history, and its clinical application has saved countless lives. However, with the widespread and abuse of antibiotics, many pathogens have developed resistance, and even "Super Bacteria" resistance to multiple drugs have evolved. In the arms race between humans and pathogens, humans are about to face a situation where no medicine is available. Research on microbial antibiotic resistance genes, resistance mechanisms, and the spread of resistance has attracted the attention of many scientific researchers, and various antibiotic resistance gene databases and analysis tools have emerged. In this review, we collect the current databases that focus on antibiotics resistance genes, and discuss these databases in terms of database types, data characteristics, antibiotics resistance gene prediction models and the types of analyzable sequences. In addition, a few gene databases of anti-metal ions and anti-biocides are also involved. It is believed that this summary will provide a reference for how to select and use antibiotic resistance gene databases.
Topics: Anti-Bacterial Agents; Bacterial Infections; Drug Resistance, Bacterial; Drug Resistance, Microbial; Humans; Metals
PubMed: 33398956
DOI: 10.13345/j.cjb.200375 -
MBio Aug 2023Conjugative plasmids play a vital role in bacterial evolution and promote the spread of antibiotic resistance. They usually cause fitness costs that diminish the growth...
Conjugative plasmids play a vital role in bacterial evolution and promote the spread of antibiotic resistance. They usually cause fitness costs that diminish the growth rates of the host bacteria. Compensatory mutations are known as an effective evolutionary solution to reduce the fitness cost and improve plasmid persistence. However, whether the plasmid transmission by conjugation is sufficient to improve plasmid persistence is debated since it is an inherently costly process. Here, we experimentally evolved an unstable and costly plasmid pHNSHP24 under laboratory conditions and assessed the effects of plasmid cost and transmission on the plasmid maintenance by the plasmid population dynamics model and a plasmid invasion experiment designed to measure the plasmid's ability to invade a plasmid-free bacterial population. The persistence of pHNSHP24 improved after 36 days evolution due to the plasmid-borne mutation A51G in the 5'UTR of gene . This mutation largely increased the infectious transmission of the evolved plasmid, presumably by impairing the inhibitory effect of FinP on the expression of . We showed that increased conjugation rate of the evolved plasmid could compensate for the plasmid loss. Furthermore, we determined that the evolved high transmissibility had little effect on the -deficient ancestral plasmid, implying that high conjugation transfer is vital for maintaining the -bearing plasmid. Altogether, our findings emphasized that, besides compensatory evolution that reduces fitness costs, the evolution of infectious transmission can improve the persistence of antibiotic-resistant plasmids, indicating that inhibition of the conjugation process could be useful to combat the spread of antibiotic-resistant plasmids. IMPORTANCE Conjugative plasmids play a key role in the spread of antibiotic resistance, and they are well-adapted to the host bacteria. However, the evolutionary adaptation of plasmid-bacteria associations is not well understood. In this study, we experimentally evolved an unstable colistin resistance () plasmid under laboratory conditions and found that increased conjugation rate was crucial for the persistence of this plasmid. Interestingly, the evolved conjugation was caused by a single-base mutation, which could rescue the unstable plasmid from extinction in bacterial populations. Our findings imply that inhibition of the conjugation process could be necessary for combating the persistence of antibiotic-resistance plasmids.
Topics: Plasmids; Drug Resistance, Microbial; Bacteria; Mutation; Anti-Bacterial Agents
PubMed: 37314200
DOI: 10.1128/mbio.00442-23 -
Frontiers in Cellular and Infection... 2022
Topics: Communicable Diseases; Drug Resistance, Microbial; Humans; Probiotics
PubMed: 35846742
DOI: 10.3389/fcimb.2022.938282 -
Comptes Rendus Biologies Mar 2024
Topics: One Health; Drug Resistance, Microbial; Anti-Bacterial Agents
PubMed: 37655922
DOI: 10.5802/crbiol.122 -
The ISME Journal Feb 2022In the Anthropocene, increasing pervasive plastic pollution is creating a new environmental compartment, the plastisphere. How the plastisphere affects microbial...
In the Anthropocene, increasing pervasive plastic pollution is creating a new environmental compartment, the plastisphere. How the plastisphere affects microbial communities and antibiotic resistance genes (ARGs) is an issue of global concern. Although this has been studied in aquatic ecosystems, our understanding of plastisphere microbiota in soil ecosystems remains poor. Here, we investigated plastisphere microbiota and ARGs of four types of microplastics (MPs) from diverse soil environments, and revealed effects of manure, temperature, and moisture on them. Our results showed that the MPs select for microbial communities in the plastisphere, and that these plastisphere communities are involved in diverse metabolic pathways, indicating that they could drive diverse ecological processes in the soil ecosystem. The relationship within plastisphere bacterial zero-radius operational taxonomic units (zOTUs) was predominantly positive, and neutral processes appeared to dominate community assembly. However, deterministic processes were more important in explaining the variance in ARGs in plastispheres. A range of potential pathogens and ARGs were detected in the plastisphere, which were enriched compared to the soil but varied across MPs and soil types. We further found that the addition of manure and elevation of soil temperature and moisture all enhance ARGs in plastispheres, and potential pathogens increase with soil moisture. These results suggested that plastispheres are habitats in which an increased potential pathogen abundance is spatially co-located with an increased abundance of ARGs under global change. Our findings provided new insights into the community ecology of the microbiome and antibiotic resistome of the soil plastisphere.
Topics: Anti-Bacterial Agents; Drug Resistance, Microbial; Genes, Bacterial; Manure; Microbiota; Plastics; Soil; Soil Microbiology
PubMed: 34455424
DOI: 10.1038/s41396-021-01103-9 -
Journal of Infection and Public Health Dec 2023The emergence and re-emergence of tick-borne bacteria (TBB) as a public health problem raises the uncertainty of antibiotic resistance in these pathogens, which could be... (Review)
Review
The emergence and re-emergence of tick-borne bacteria (TBB) as a public health problem raises the uncertainty of antibiotic resistance in these pathogens, which could be dispersed to other pathogens. The impact of global warming has led to the emergence of pathogenic TBB in areas where they were not previously present and is another risk that must be taken into account under the One Health guides. This review aimed to analyze the existing information regarding antibiotic-resistant TBB and antibiotic-resistance genes (ARG) present in the tick microbiome, considering the potential to be transmitted to pathogenic microorganisms. Several Ehrlichia species have been reported to exhibit natural resistance to fluoroquinolones and typhus group Rickettsiae are naturally susceptible to erythromycin. TBB have a lower risk of acquiring ARG due to their natural habitat, but there is still a probability of acquiring them; furthermore, studies of these pathogens are limited. Pathogenic and commensal bacteria coexist within the tick microbiome along with ARGs for antibiotic deactivation, cellular protection, and efflux pumps; these ARGs confer resistance to antibiotics such as aminoglycosides, beta-lactamase, diaminopyrimidines, fluoroquinolones, glycopeptides, sulfonamides, and tetracyclines. Although with low probability, TBB can be a reservoir of ARGs.
Topics: Humans; One Health; Bacteria; Anti-Bacterial Agents; Drug Resistance, Microbial; Genes, Bacterial; Fluoroquinolones
PubMed: 37945496
DOI: 10.1016/j.jiph.2023.10.027 -
Antibiotic resistance in chronic respiratory diseases: from susceptibility testing to the resistome.European Respiratory Review : An... Jun 2022The development of resistome analysis, the comprehensive analysis of antibiotic-resistance genes (ARGs), is enabling a better understanding of the mechanisms of... (Review)
Review
The development of resistome analysis, the comprehensive analysis of antibiotic-resistance genes (ARGs), is enabling a better understanding of the mechanisms of antibiotic-resistance emergence. The respiratory microbiome is a dynamic and interactive network of bacteria, with a set of ARGs that could influence the response to antibiotics. Viruses such as bacteriophages, potential carriers of ARGs, may also form part of this respiratory resistome. Chronic respiratory diseases (CRDs) such as cystic fibrosis, severe asthma, chronic obstructive pulmonary disease and bronchiectasis, managed with long-term antibiotic therapies, lead to multidrug resistance. Antibiotic susceptibility testing provides a partial view of the bacterial response to antibiotics in the complex lung environment. Assessing the ARG network would allow personalised, targeted therapeutic strategies and suitable antibiotic stewardship in CRDs, depending on individual resistome and microbiome signatures. This review summarises the influence of pulmonary antibiotic protocols on the respiratory microbiome, detailing the variable consequences according to antibiotic class and duration of treatment. The different resistome-profiling methods are explained to clarify their respective place in antibiotic-resistance analysis in the lungs. Finally, this review details current knowledge on the respiratory resistome related to therapeutic strategies and provides insight into the application of resistome analysis to counter the emergence of multidrug-resistant respiratory pathogens.
Topics: Anti-Bacterial Agents; Bacteria; Bronchiectasis; Drug Resistance, Microbial; Humans; Microbiota
PubMed: 35613743
DOI: 10.1183/16000617.0259-2021 -
MBio Feb 2023Antibiotic resistance is a major medical and public health challenge, characterized by global increases in the prevalence of resistant strains. The conventional view is... (Review)
Review
Antibiotic resistance is a major medical and public health challenge, characterized by global increases in the prevalence of resistant strains. The conventional view is that all antibiotic resistance is problematic, even when not in pathogens. Resistance in commensal bacteria poses risks, as resistant organisms can provide a reservoir of resistance genes that can be horizontally transferred to pathogens or may themselves cause opportunistic infections in the future. While these risks are real, we propose that commensal resistance can also generate benefits during antibiotic treatment of human infection, by promoting continued ecological suppression of pathogens. To define and illustrate this alternative conceptual perspective, we use a two-species mathematical model to identify the necessary and sufficient ecological conditions for beneficial resistance. We show that the benefits are limited to species (or strain) interactions where commensals suppress pathogen growth and are maximized when commensals compete with, rather than prey on or otherwise exploit pathogens. By identifying benefits of commensal resistance, we propose that rather than strictly minimizing all resistance, resistance management may be better viewed as an optimization problem. We discuss implications in two applied contexts: bystander (nontarget) selection within commensal microbiomes and pathogen treatment given polymicrobial infections. Antibiotic resistance is commonly viewed as universally costly, regardless of which bacterial cells express resistance. Here, we derive an opposing logic, where resistance in commensal bacteria can lead to reductions in pathogen density and improved outcomes on both the patient and public health scales. We use a mathematical model of commensal-pathogen interactions to define the necessary and sufficient conditions for beneficial resistance, highlighting the importance of reciprocal ecological inhibition to maximize the benefits of resistance. More broadly, we argue that determining the benefits as well as the costs of resistances in human microbiomes can transform resistance management from a minimization to an optimization problem. We discuss applied contexts and close with a review of key resistance optimization dimensions, including the magnitude, spectrum, and mechanism of resistance.
Topics: Humans; Bacteria; Anti-Bacterial Agents; Drug Resistance, Microbial; Symbiosis; Microbiota; Drug Resistance, Bacterial
PubMed: 36475750
DOI: 10.1128/mbio.01349-22 -
ELife Apr 2021Bacteria carry antibiotic resistant genes on movable sections of DNA that allow them to select the relevant genes on demand.
Bacteria carry antibiotic resistant genes on movable sections of DNA that allow them to select the relevant genes on demand.
Topics: Anti-Bacterial Agents; Bacteria; Drug Resistance, Microbial; Integrons
PubMed: 33820602
DOI: 10.7554/eLife.68070