• Home
  • Browse
    • Current Issue
    • By Issue
    • By Author
    • By Subject
    • Author Index
    • Keyword Index
  • Journal Info
    • About Journal
    • Aims and Scope
    • Editorial Board
    • Publication Ethics
    • Peer Review Process
  • Guide for Authors
  • Submit Manuscript
  • Contact Us
 
  • Login
  • Register
Home Articles List Article Information
  • Save Records
  • |
  • Printable Version
  • |
  • Recommend
  • |
  • How to cite Export to
    RIS EndNote BibTeX APA MLA Harvard Vancouver
  • |
  • Share Share
    CiteULike Mendeley Facebook Google LinkedIn Twitter
Suez Canal Veterinary Medical Journal. SCVMJ
arrow Articles in Press
arrow Current Issue
Journal Archive
Volume Volume 30 (2025)
Volume Volume 29 (2024)
Volume Volume 28 (2023)
Volume Volume 27 (2022)
Volume Volume 26 (2021)
Volume Volume 25 (2020)
Volume Volume 24 (2019)
Volume Volume 23 (2018)
Issue Issue 2
Issue Issue 1
Volume Volume 22 (2017)
Volume Volume 21 (2016)
Volume Volume 20 (2015)
Volume Volume 19 (2014)
Volume Volume 18 (2013)
Enany, M., Hassan, W., Ismail, N. (2018). Prevalence of Antibiotic Resistance Genes among E.coli Strains Isolated from Poultry in Suez Canal Area. Suez Canal Veterinary Medical Journal. SCVMJ, 23(1), 53-65. doi: 10.21608/scvmj.2018.60758
Mohamed Enany; Wafaa Hassan; Noreen Ismail. "Prevalence of Antibiotic Resistance Genes among E.coli Strains Isolated from Poultry in Suez Canal Area". Suez Canal Veterinary Medical Journal. SCVMJ, 23, 1, 2018, 53-65. doi: 10.21608/scvmj.2018.60758
Enany, M., Hassan, W., Ismail, N. (2018). 'Prevalence of Antibiotic Resistance Genes among E.coli Strains Isolated from Poultry in Suez Canal Area', Suez Canal Veterinary Medical Journal. SCVMJ, 23(1), pp. 53-65. doi: 10.21608/scvmj.2018.60758
Enany, M., Hassan, W., Ismail, N. Prevalence of Antibiotic Resistance Genes among E.coli Strains Isolated from Poultry in Suez Canal Area. Suez Canal Veterinary Medical Journal. SCVMJ, 2018; 23(1): 53-65. doi: 10.21608/scvmj.2018.60758

Prevalence of Antibiotic Resistance Genes among E.coli Strains Isolated from Poultry in Suez Canal Area

Article 5, Volume 23, Issue 1, June 2018, Page 53-65  XML PDF (669.11 K)
Document Type: Original Article
DOI: 10.21608/scvmj.2018.60758
View on SCiNiTO View on SCiNiTO
Authors
Mohamed Enany* 1; Wafaa Hassan2; Noreen Ismail3
1*Department of Bacteriology, Immunology, Mycology - Faculty of Veterinary Medicine, Suez Canal University.
2Reference Laboratory for Veterinary Quality Control on Poultry Production (Dokki), Animal Health Research Institute.
3Veterinarian.
Abstract
A total of 200 cases of diseased and recently dead different poultry species (100 broiler chickens, 50 laying hens, 30ducks and 20 turkeys) with the same prevalence from liver, lung and heart blood were collected from different localities in El- Ismailia Governorate. E. coli was isolated from 102(51%) cases. Only representive 10 E. coli isolates were serotyped as O111:K58, O1:K1and O146:K99 in order of frequency (60%, 20%and 20%) of the isolates, respectively. Selected representive 13 E. coli isolates were tested for their susceptibility to 13 antimicrobial agents and absolute resistance was obtained among selected E. coli isolates against amoxicillin clavulanic acid (100%), chloramphenicol (76.9%) and erythromycin (76.9%). In addition, (69.2%) of isolates were resistant to nalidixic acid, rifamycin, streptomycin and cefoxitin and (61.5%) of isolates were resistant to ceftriaxone and all tested isolates were resistant to at least 4 antibiotics and multidrug resistance was seen. The highest sensitivity rates were recorded to ciprofloxacin (84.6%) and colistin sulphate (76.9%). PCR results indicated that representative 10 E .coli isolates hadantibiotic resistance genes as dfrA1, aada1, blaTEM andSul1 genes 100 % (10/10), while only 40 % (4/10) hadfloR gene.
Keywords
Antibiotic resistance genes; E.coli; Poultry
Main Subjects
Bacteriology, Immunology and Mycology
Statistics
Article View: 202
PDF Download: 332
Home | Glossary | News | Aims and Scope | Sitemap
Top Top

Journal Management System. Designed by NotionWave.