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http://krishi.icar.gov.in/jspui/handle/123456789/83880
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Sudha Sajeev | en_US |
dc.contributor.author | Muneeb Hamza | en_US |
dc.contributor.author | Vineeth Rajan | en_US |
dc.contributor.author | Ardhra Vijayan | en_US |
dc.contributor.author | Sivaraman, G. K. | en_US |
dc.contributor.author | Bibek R. Shome | en_US |
dc.contributor.author | Mark A. Holmes | en_US |
dc.date.accessioned | 2024-07-08T13:22:05Z | - |
dc.date.available | 2024-07-08T13:22:05Z | - |
dc.date.issued | 2023-08 | - |
dc.identifier.citation | Sudha Sajeev, Muneeb Hamza, Vineeth Rajan, Ardhra Vijayan, Sivaraman, G. K., Bibek R. Shome and Mark A. Holmes (2023) Resistance profiles and genotyping of extended-spectrum beta-lactamase (ESBL) -producing and non-ESBL-producing E. coli and Klebsiella from retail market fishes. Infection, Genetics and Evolut. 112:1-12. | en_US |
dc.identifier.issn | 1567-1348 | - |
dc.identifier.issn | 1567-7257 | - |
dc.identifier.uri | http://krishi.icar.gov.in/jspui/handle/123456789/83880 | - |
dc.description | Not Available | en_US |
dc.description.abstract | Studies on antimicrobial resistance (AMR) profiles and epidemiological affirmation for AMR transmission are limited in fisheries and aquaculture settings. Since 2015, based on Global Action Plan on AMR by World Health Organization (WHO) and World Organization for Animal Health (OIE), several initiatives have been under taken to enhance the knowledge, skills and capacity to establish AMR trends through surveillance and strengthening of epidemiological evidence. The focus of this study was to determine the prevalence of antimicrobial resistance (AMR), its resistance profiles and molecular characterization with respect to phylogroups, antimicrobial resistance genes (ARGs), virulence genes (VGs), quaternary ammonium compounds resistance (QAC) genes and plasmid typing in retail market fishes. Pulse field gel electrophoresis (PFGE) to understand the genetic lineage of the two most important Enterobacteriaceae members, E. coli and Klebsiella sp. was performed. 94 fish samples were collected from three different sites viz., Silagrant (S1), Garchuk (S2) and North Guwahati Town Committee (NGTC) Region (S3) in Guwahati, Assam. Out of the 113 microbial isolates from the fish samples, 45 (39.82%) were E. coli; 23 (20.35%) belonged to Klebsiella genus. Among E. coli, 48.88% (n = 22) of the isolates were alerted by the BD Phoenix M50 instrument as ESBL, 15.55% (n = 7) as PCP and 35.55% (n = 16) as non-ESBL. E. coli (39.82%) was the most prevalent pathogen among the Enterobacteriaceae members screened and showed resistance to ampicillin (69%) followed by cefazoline (64%), cefotaxime (49%) and piperacillin (49%). In the present study, 66.66% of E. coli and 30.43% of Klebsiella sp. were categorized as multi drug resistance (MDR) bacteria. CTX-M-gp-1, with CTX-M-15 variant (47%), was the most widely circulating beta-lactamase gene, while other ESBL genes blaTEM (7%), blaSHV (2%) and blaOXA-1-like (2%) were also identified in E. coli. Out of the 23 isolates of Klebsiella, 14(60.86%) were ampicillin (AM)-resistant (11(47.82%) K. oxytoca, 3(13.04%) K. aerogenes), whereas 8(34.78%) isolates of K. oxytoca showed intermediate resistance to AM. All Klebsiella isolates were susceptible to AN, SCP, MEM and TZP, although two K. aerogenes were resistant to imipenem. DHA and LAT genes were detected, respectively, in 7(16%) and 1(2%) of the E. coli strains while a single K. oxytoca (4.34%) isolate carried MOX, DHA and blaCMY-2 genes. The fluoroquinolone resistance genes identified in E. coli included qnrB (71%), qnrS (84%), oqxB (73%) and aac(6)-Ib-cr (27%); however, in Klebsiella, these genes, respectively, had a prevalence of 87%, 26%, 74% and 9%. The E. coli isolates belonged to phylogroup A(47%), B1(33%) and D(14%). All of the 22(100%) ESBL E. coli had chromosome-mediated disinfectant resistance genes viz., ydgE, ydgF, sugE(c), mdfA while 82% of ESBL E. coli had emrE. Among the non-ESBL E. coli isolates, 87% of them showed the presence of ydgE, ydgF and sugE(c) genes, while 78% of the isolates had mdfA and 39% had emrE genes respectively. 59% of the ESBL and 26% of the non-ESBL E. coli had showed the presence of qacEΔ1. The sugE(p) was present in 27% of the ESBL-producing E. coli and in 9% of non-ESBL isolates. Out of the 3 ESBL-producing Klebsiella isolates, 2(66.66%) K. oxytoca isolates were found harboring plasmid-mediated qacEΔ1 gene while one (33.33%) K. oxytoca isolate had sugE(p) gene. IncFI was the most prevalent plasmid type detected in the isolates studied, with A/C (18%), P (14%), X, Y (9% each) and I1-Iγ (14%, 4%). 50% (n = 11) of the ESBL and 17% (n = 4) of the non-ESBL E. coli isolates harboured IncFIB and 45% (n = 10) ESBL and one (4.34%) non-ESBL E. coli isolates harboured IncFIA. Dominance of E. coli over other Enterobacterales and diverse phylogenetic profiles of E. coli and Klebsiella sp. suggests the possibility of contamination and this may be due to compromised hygienic practices along the supply chain and contamination of aquatic ecosystem. Continuous surveillance in domestic markets must be a priority in addressing antimicrobial resistance in fishery settings and to identify any unwarranted epidemic clones of E. coli and Klebsiella that can challenge public health sector. | en_US |
dc.description.sponsorship | Not Available | en_US |
dc.language.iso | English | en_US |
dc.publisher | Elsevier | en_US |
dc.relation.ispartofseries | Not Available; | - |
dc.subject | Antimicrobial resistance | en_US |
dc.subject | E. coli | en_US |
dc.subject | Fish | en_US |
dc.subject | Klebsiella | en_US |
dc.subject | North-East India | en_US |
dc.title | Resistance profiles and genotyping of extended-spectrum beta-lactamase (ESBL) -producing and non-ESBL-producing E. coli and Klebsiella from retail market fishes | en_US |
dc.title.alternative | Not Available | en_US |
dc.type | Research Paper | en_US |
dc.publication.projectcode | Not Available | en_US |
dc.publication.journalname | Infection, Genetics and Evolution | en_US |
dc.publication.volumeno | 112 | en_US |
dc.publication.pagenumber | 1-12 | en_US |
dc.publication.divisionUnit | Not Available | en_US |
dc.publication.sourceUrl | https://doi.org/10.1016/j.meegid.2023.105446 | en_US |
dc.publication.authorAffiliation | ICAR::Central Institute of Fisheries Technology | en_US |
dc.publication.authorAffiliation | ICAR-National Institute of Veterinary Epidemiology and Disease Informatics | en_US |
dc.publication.authorAffiliation | University of Cambridge, UK | en_US |
dc.ICARdataUseLicence | http://krishi.icar.gov.in/PDF/ICAR_Data_Use_Licence.pdf | en_US |
dc.publication.journaltype | International | en_US |
dc.publication.naasrating | 9.2 | en_US |
dc.publication.impactfactor | 3.2 | en_US |
Appears in Collections: | FS-CIFT-Publication |
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