Genotypic analyses of IncHI2 plasmids from enteric bacteria
Incompatibility (Inc) HI2 plasmids are large (typically > 200 kb), transmissible plasmids that encode antimicrobial resistance (AMR), heavy metal resistance (HMR) and disinfectants/biocide resistance (DBR). To better understand the distribution and diversity of resistance-encoding genes among Inc...
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Veröffentlicht in: | Scientific reports 2024-04, Vol.14 (1), p.9802-9802, Article 9802 |
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Zusammenfassung: | Incompatibility (Inc) HI2 plasmids are large (typically > 200 kb), transmissible plasmids that encode antimicrobial resistance (AMR), heavy metal resistance (HMR) and disinfectants/biocide resistance (DBR). To better understand the distribution and diversity of resistance-encoding genes among IncHI2 plasmids, computational approaches were used to evaluate resistance and transfer-associated genes among the plasmids. Complete IncHI2 plasmid (N = 667) sequences were extracted from GenBank and analyzed using AMRFinderPlus, IntegronFinder and Plasmid Transfer Factor database. The most common IncHI2-carrying genera included
Enterobacter
(N = 209),
Escherichia
(N = 208), and
Salmonella
(N = 204). Resistance genes distribution was diverse, with plasmids from
Escherichia
and
Salmonella
showing general similarity in comparison to
Enterobacter
and other taxa, which grouped together. Plasmids from
Enterobacter
and other taxa had a higher prevalence of multiple mercury resistance genes and arsenic resistance gene,
arsC
, compared to
Escherichia
and
Salmonella
. For sulfonamide resistance,
sul1
was more common among
Enterobacter
and other taxa, compared to
sul2
and
sul3
for
Escherichia
and
Salmonella
. Similar gene diversity trends were also observed for tetracyclines, quinolones, β-lactams, and colistin. Over 99% of plasmids carried at least 25 IncHI2-associated conjugal transfer genes. These findings highlight the diversity and dissemination potential for resistance across different enteric bacteria and value of computational-based approaches for the resistance-gene assessment. |
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ISSN: | 2045-2322 2045-2322 |
DOI: | 10.1038/s41598-024-59870-2 |