2022
DOI: 10.1038/s41467-022-29283-8
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Assessment of global health risk of antibiotic resistance genes

Abstract: Antibiotic resistance genes (ARGs) have accelerated microbial threats to human health in the last decade. Many genes can confer resistance, but evaluating the relative health risks of ARGs is complex. Factors such as the abundance, propensity for lateral transmission and ability of ARGs to be expressed in pathogens are all important. Here, an analysis at the metagenomic level from various habitats (6 types of habitats, 4572 samples) detects 2561 ARGs that collectively conferred resistance to 24 classes of anti… Show more

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Cited by 359 publications
(173 citation statements)
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“…MGEs carry non-essential genes that can provide their bacterial host with adaptive traits and alter their fitness, such as antimicrobial resistance (AMR) and virulence genes [18,19]. These elements apply a myriad of ecological and evolutionary strategies to promote their own replication and transmission, which allow them to persist even in the absence of positive selection for the beneficial genes they carry [20,21].…”
Section: Introductionmentioning
confidence: 99%
“…MGEs carry non-essential genes that can provide their bacterial host with adaptive traits and alter their fitness, such as antimicrobial resistance (AMR) and virulence genes [18,19]. These elements apply a myriad of ecological and evolutionary strategies to promote their own replication and transmission, which allow them to persist even in the absence of positive selection for the beneficial genes they carry [20,21].…”
Section: Introductionmentioning
confidence: 99%
“…ARGs risk assessment and their hosts beyond "ESKAPE" pathogens ARGs health risk assessments were evaluated by four risk categories according to the omics-based framework from Rank I (the highest risk) to Rank IV (the lowest risk) based on risk indicators including human accessibility or human-associated-enrichment, gene mobility, and human pathogenicity [23,27]. It should be noted that the same ARG could be assessed in different health risk when the hosts are different, for example,10 tetL genes of tetracycline, belonging to the risk I to risk IV as well as unassessed categories (e.g., 2, 2, 1, and 5 genes belonged to risk I, risk III, risk IV, and unassessed categories, respectively), were identi ed, because 2 and 3 genes located in ESKAPE and non-ESKAPE pathogen bacteria, respectively, and the rest of 5 genes can not be assessed (Table S6).…”
Section: Discussionmentioning
confidence: 99%
“…3B). In particular, MDR harbored more than 70 subtypes multidrug resistance genes exhibiting diverse phenotypic in this study and might pose a health risk [27] (Table S5). More importantly, both rmicutes and proteobacteria could contribute to ARGs in this study (Fig.…”
Section: Analysis Of Args and Their Hostsmentioning
confidence: 95%
“…The emergence of resistance to antibiotics is the most challenging issue in the treatment of bacterial infections (Uddin et al, 2021). Antibiotic-resistant infections are widespread across the globe (Ventola, 2015; Zhang et al, 2022). Most bacteria might contain some form of antibiotic-resistant genes such as resistance plasmids or efflux pumps that might remain functionally silent until sufficiently challenged with selection pressure (Nikaido, 2009).…”
Section: Discussionmentioning
confidence: 99%
“…The CARD web interface (https://card.mcmaster.ca/analyze/rgi) can quickly identify putative antibiotic-resistant genes based on numerous approaches such as BLAST, sequence alignment, regular expressions (RegEx), hidden Markov models (HMMs), and/or position-specific SNPs (Hendriksen et al, 2019). Each rickettsiae genome sequence was submitted to CARD’s resistance gene identifier (RGI) tool to generate annotation based on perfect, strict, and loose paradigm, and complete gene match criteria for the identification of putative antibiotic-resistant genes (Her et al, 2021; Kent et al, 2020; Zhang et al, 2022).…”
Section: Methodsmentioning
confidence: 99%