Identification of Antibiotic Resistance Pattern, and Detection of Virulence Genes iss, and ompT in Avian Pathogenic Escherichia coli from Broiler Chickens in Chitwan, Nepal

Author:

Sankhi Saroj,Bhattarai Rebanta Kumar,Basnet Hom Bahadur,Marasine Nirmal Raj,Luitel Himal,Nayak Mukesh,Sankhi Sabina

Abstract

This study aimed to identify, evaluate the antibiotic resistance pattern and detect virulence genes iss, and ompT in avian pathogenic Escherichia coli (APEC) from broiler chickens in central Nepal. To determine the antibiotic resistance pattern of the obtained isolates, the Kirby-Bauer disc diffusion method was used with six different commercial antibiotic discs: Amikacin, Gentamycin, Ciprofloxacin, Doxycycline, Chloramphenicol and Levofloxacin. A polymerase chain reaction (PCR) assay was used for the selected isolates (n=40) to screen the presence of the iss and ompT genes after the extraction of DNA using the boiling method Out of 60 suspected Colibacillosis liver samples, 40 were confirmed as E. coli positive The antibiogram profile revealed maximum resistance to Doxycycline (87.5%), followed by Levofloxacin (72.5%), Ciprofloxacin (67.5%), Chloramphenicol (40.0%), Gentamycin (32.5%) and Amikacin (10.0%).. The presence of the iss and ompT genes was found to be 100.0% and 90.0%, respectively. APEC was found to be highly resistant to most of the antibiotics. Virulence-associated genes iss and ompT were obtained at high percentages from Colibacillosis suspected broiler chickens in Chitwan, Nepal. These finding suggests that the judicial use of antimicrobials is compulsory to check antibiotic resistance and Colibacillosis outbreaks in poultry farms.

Publisher

Sciencedomain International

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3