Cargando…
Antimicrobial Resistance Pattern, Clustering Mechanisms and Correlation Matrix of Drug-Resistant Escherichia coli in Black Bengal Goats in West Bengal, India
A cross-sectional study covering four agro-climatic zones of West Bengal, India, was carried out to understand the risk-factors, antimicrobial resistance mechanism and clustering of the resistance characteristics of Escherichia coli isolated from healthy (170) and diarrhoeic (74) goats reared under...
Autores principales: | , , , , , , , , , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2022
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9598321/ https://www.ncbi.nlm.nih.gov/pubmed/36290002 http://dx.doi.org/10.3390/antibiotics11101344 |
_version_ | 1784816304595664896 |
---|---|
author | Banerjee, Jaydeep Bhattacharyya, Debaraj Habib, Md Chaudhary, Siddharth Biswas, Suman Maji, Chinmoy Nanda, Pramod Kumar Das, Arun K. Dandapat, Premanshu Samanta, Indranil Lorenzo, Jose M. Dutt, Triveni Bandyopadhyay, Samiran |
author_facet | Banerjee, Jaydeep Bhattacharyya, Debaraj Habib, Md Chaudhary, Siddharth Biswas, Suman Maji, Chinmoy Nanda, Pramod Kumar Das, Arun K. Dandapat, Premanshu Samanta, Indranil Lorenzo, Jose M. Dutt, Triveni Bandyopadhyay, Samiran |
author_sort | Banerjee, Jaydeep |
collection | PubMed |
description | A cross-sectional study covering four agro-climatic zones of West Bengal, India, was carried out to understand the risk-factors, antimicrobial resistance mechanism and clustering of the resistance characteristics of Escherichia coli isolated from healthy (170) and diarrhoeic (74) goats reared under intensive (52) and semi-intensive (192) farming practices. Of the 488 E. coli isolates, the majority, including the extended spectrum (n: 64, 13.11%) and AmpC β-lactamase (ACBL) (n: 86, 17.62%) producers, were resistant to tetracycline (25.2%), followed by enrofloxacin (24.5%), cefotaxime (21.5%) and amikacin (20.5%). Statistical modelling revealed that the isolates from diarrhoeic animals (p < 0.001) are likely to be more ACBL-positive than those from the healthy counterparts. Similarly, cefotaxime (p < 0.05) and enrofloxacin-resistance (p < 0.01) were significantly higher in diarrhoeic goats and in goats reared intensively. The isolates (n = 35) resistant to multiple drugs revealed the presence of β-lactamase [blaCTXM-1-(21), blaSHV-(7), blaTEM-(3), blaCMY-6-(1), blaCITM-(3)]; quinolone [qnrB-(10), qnrS-(7), aac(6’)-Ib-cr-(3)]; tetracycline [tetA-(19), tetB-(4)] and sulphonamide resistance determinants [sul1-(4)]; multiple plasmids, especially those belonging to the IncF and IncI1 replicon types; and active acrAB efflux pumps. Further, two isolates harbored the carbapenem resistance (blaNDM-5) gene and eight were strong biofilm producers. This first ever study conducted to unravel the status of AMR in goat farming reveals that not only the intensive farming practices but also certain clinical ailments such as diarrhoea can increase the shedding of the drug-resistant isolate. The emergence of multi-drug resistant (MDR) E. coli in goats, particularly those that are carbapenem resistant, is a cause for concern that indicates the spread of such pathogens even in the livestock sub-sector generally considered as naive. |
format | Online Article Text |
id | pubmed-9598321 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-95983212022-10-27 Antimicrobial Resistance Pattern, Clustering Mechanisms and Correlation Matrix of Drug-Resistant Escherichia coli in Black Bengal Goats in West Bengal, India Banerjee, Jaydeep Bhattacharyya, Debaraj Habib, Md Chaudhary, Siddharth Biswas, Suman Maji, Chinmoy Nanda, Pramod Kumar Das, Arun K. Dandapat, Premanshu Samanta, Indranil Lorenzo, Jose M. Dutt, Triveni Bandyopadhyay, Samiran Antibiotics (Basel) Article A cross-sectional study covering four agro-climatic zones of West Bengal, India, was carried out to understand the risk-factors, antimicrobial resistance mechanism and clustering of the resistance characteristics of Escherichia coli isolated from healthy (170) and diarrhoeic (74) goats reared under intensive (52) and semi-intensive (192) farming practices. Of the 488 E. coli isolates, the majority, including the extended spectrum (n: 64, 13.11%) and AmpC β-lactamase (ACBL) (n: 86, 17.62%) producers, were resistant to tetracycline (25.2%), followed by enrofloxacin (24.5%), cefotaxime (21.5%) and amikacin (20.5%). Statistical modelling revealed that the isolates from diarrhoeic animals (p < 0.001) are likely to be more ACBL-positive than those from the healthy counterparts. Similarly, cefotaxime (p < 0.05) and enrofloxacin-resistance (p < 0.01) were significantly higher in diarrhoeic goats and in goats reared intensively. The isolates (n = 35) resistant to multiple drugs revealed the presence of β-lactamase [blaCTXM-1-(21), blaSHV-(7), blaTEM-(3), blaCMY-6-(1), blaCITM-(3)]; quinolone [qnrB-(10), qnrS-(7), aac(6’)-Ib-cr-(3)]; tetracycline [tetA-(19), tetB-(4)] and sulphonamide resistance determinants [sul1-(4)]; multiple plasmids, especially those belonging to the IncF and IncI1 replicon types; and active acrAB efflux pumps. Further, two isolates harbored the carbapenem resistance (blaNDM-5) gene and eight were strong biofilm producers. This first ever study conducted to unravel the status of AMR in goat farming reveals that not only the intensive farming practices but also certain clinical ailments such as diarrhoea can increase the shedding of the drug-resistant isolate. The emergence of multi-drug resistant (MDR) E. coli in goats, particularly those that are carbapenem resistant, is a cause for concern that indicates the spread of such pathogens even in the livestock sub-sector generally considered as naive. MDPI 2022-10-01 /pmc/articles/PMC9598321/ /pubmed/36290002 http://dx.doi.org/10.3390/antibiotics11101344 Text en © 2022 by the authors. https://creativecommons.org/licenses/by/4.0/Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Banerjee, Jaydeep Bhattacharyya, Debaraj Habib, Md Chaudhary, Siddharth Biswas, Suman Maji, Chinmoy Nanda, Pramod Kumar Das, Arun K. Dandapat, Premanshu Samanta, Indranil Lorenzo, Jose M. Dutt, Triveni Bandyopadhyay, Samiran Antimicrobial Resistance Pattern, Clustering Mechanisms and Correlation Matrix of Drug-Resistant Escherichia coli in Black Bengal Goats in West Bengal, India |
title | Antimicrobial Resistance Pattern, Clustering Mechanisms and Correlation Matrix of Drug-Resistant Escherichia coli in Black Bengal Goats in West Bengal, India |
title_full | Antimicrobial Resistance Pattern, Clustering Mechanisms and Correlation Matrix of Drug-Resistant Escherichia coli in Black Bengal Goats in West Bengal, India |
title_fullStr | Antimicrobial Resistance Pattern, Clustering Mechanisms and Correlation Matrix of Drug-Resistant Escherichia coli in Black Bengal Goats in West Bengal, India |
title_full_unstemmed | Antimicrobial Resistance Pattern, Clustering Mechanisms and Correlation Matrix of Drug-Resistant Escherichia coli in Black Bengal Goats in West Bengal, India |
title_short | Antimicrobial Resistance Pattern, Clustering Mechanisms and Correlation Matrix of Drug-Resistant Escherichia coli in Black Bengal Goats in West Bengal, India |
title_sort | antimicrobial resistance pattern, clustering mechanisms and correlation matrix of drug-resistant escherichia coli in black bengal goats in west bengal, india |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9598321/ https://www.ncbi.nlm.nih.gov/pubmed/36290002 http://dx.doi.org/10.3390/antibiotics11101344 |
work_keys_str_mv | AT banerjeejaydeep antimicrobialresistancepatternclusteringmechanismsandcorrelationmatrixofdrugresistantescherichiacoliinblackbengalgoatsinwestbengalindia AT bhattacharyyadebaraj antimicrobialresistancepatternclusteringmechanismsandcorrelationmatrixofdrugresistantescherichiacoliinblackbengalgoatsinwestbengalindia AT habibmd antimicrobialresistancepatternclusteringmechanismsandcorrelationmatrixofdrugresistantescherichiacoliinblackbengalgoatsinwestbengalindia AT chaudharysiddharth antimicrobialresistancepatternclusteringmechanismsandcorrelationmatrixofdrugresistantescherichiacoliinblackbengalgoatsinwestbengalindia AT biswassuman antimicrobialresistancepatternclusteringmechanismsandcorrelationmatrixofdrugresistantescherichiacoliinblackbengalgoatsinwestbengalindia AT majichinmoy antimicrobialresistancepatternclusteringmechanismsandcorrelationmatrixofdrugresistantescherichiacoliinblackbengalgoatsinwestbengalindia AT nandapramodkumar antimicrobialresistancepatternclusteringmechanismsandcorrelationmatrixofdrugresistantescherichiacoliinblackbengalgoatsinwestbengalindia AT dasarunk antimicrobialresistancepatternclusteringmechanismsandcorrelationmatrixofdrugresistantescherichiacoliinblackbengalgoatsinwestbengalindia AT dandapatpremanshu antimicrobialresistancepatternclusteringmechanismsandcorrelationmatrixofdrugresistantescherichiacoliinblackbengalgoatsinwestbengalindia AT samantaindranil antimicrobialresistancepatternclusteringmechanismsandcorrelationmatrixofdrugresistantescherichiacoliinblackbengalgoatsinwestbengalindia AT lorenzojosem antimicrobialresistancepatternclusteringmechanismsandcorrelationmatrixofdrugresistantescherichiacoliinblackbengalgoatsinwestbengalindia AT dutttriveni antimicrobialresistancepatternclusteringmechanismsandcorrelationmatrixofdrugresistantescherichiacoliinblackbengalgoatsinwestbengalindia AT bandyopadhyaysamiran antimicrobialresistancepatternclusteringmechanismsandcorrelationmatrixofdrugresistantescherichiacoliinblackbengalgoatsinwestbengalindia |