2018
DOI: 10.2217/fmb-2017-0172
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Emerging Mechanisms of Antimicrobial Resistance in Bacteria and Fungi: Advances in the Era of Genomics

Abstract: Bacteria and fungi continue to develop new ways to adapt and survive the lethal or biostatic effects of antimicrobials through myriad mechanisms. Novel antibiotic resistance genes such as lsa(C), erm(44), VCC-1, mcr-1, mcr-2, mcr-3, mcr-4, bla and bla were discovered through comparative genomics and further functional studies. As well, mutations in genes that hitherto were unknown to confer resistance to antimicrobials, such as trm, PP2C, rpsJ, HSC82, FKS2 and Rv2887, were shown by genomics and transcomplement… Show more

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Cited by 91 publications
(84 citation statements)
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“…These assays cannot confirm colistin resistance as colistin susceptible MCR‐positive strains exist (Chew et al., ). Moreover, they cannot detect unknown colistin‐resistance mechanisms due to their dependence on highly specific primers and probes; only WGS can identify unknown colistin resistance mechanisms (Osei Sekyere & Asante, ).…”
Section: Resultsmentioning
confidence: 99%
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“…These assays cannot confirm colistin resistance as colistin susceptible MCR‐positive strains exist (Chew et al., ). Moreover, they cannot detect unknown colistin‐resistance mechanisms due to their dependence on highly specific primers and probes; only WGS can identify unknown colistin resistance mechanisms (Osei Sekyere & Asante, ).…”
Section: Resultsmentioning
confidence: 99%
“…Conventional PCR and WGS are the gold‐standards and first diagnostic tools used in identifying the mcr‐1 gene from swine E. coli isolates (Liu et al., ; Rebelo et al., ). While conventional PCR can only detect known mcr resistance genes within a shorter period, WGS can identify all known or unknown colistin resistance mechanisms within at most 2 days depending on the WGS instrument used (Osei Sekyere & Asante, ). In addition, conventional PCR can only identify one mcr type per reaction while WGS can identify all colistin resistance mechanisms per single reaction (Osei Sekyere & Asante, ; Xavier et al., ).…”
Section: Resultsmentioning
confidence: 99%
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“…Plasmid prediction database servers, such as Plasmidfinder, pMLST, PLACNET, and plasmidSPAdes, enable easy identification and annotation of relevant plasmid sequences from large WGS datasets, as well as assemble plasmids from WGS data . PlasmidFinder is a web‐based tool that allows the submission of raw or assembled reads, which are searched for through a plasmid replicon database to identify replicons and assign the plasmid to an Inc group .…”
Section: Methods Used In Plasmid Classificationmentioning
confidence: 99%