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Issue:ISSN 1000-7083
          CN 51-1193/Q
Director:Sichuan Association for Science and Technology
Sponsored by:Sichuan Society of Zoologists; Chengdu Giant Panda Breeding Research Foundation; Sichuan Association of Wildlife Conservation; Sichuan University
Address:College of Life Sciences, Sichuan University, No.29, Wangjiang Road, Chengdu, Sichuan Province, 610064, China
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Your Position :Home->Past Journals Catalog->2014 Vol.33 No.5

Identification of O Serotype and PCR Detection of Resistance Genes of Lung Pathogenic Escherichia coli from Forest Musk Deer
Author of the article:ZHOU Xin1, LUO Yan1, 2*, CHENG Jianguo3, LUO Xi1, YU Dong2, YANG Zhengjun2
Author's Workplace:(1. College of Veterinary Medicine, Sichuan Agricultural University, Ya’an, Sichuan Province 625014, China; 2. Laboratory of Microbiology, Dujiangyan Campus Sichuan Agricultural University, Dujiangyan, Sichuan Province 611830, China; 3. Sichuan Institute of Musk Deer Breeding, Dujiangyan, Sichuan Province 611830, China)
Key Words: forest musk deer; lung pathogenic Escherichia coli; O serotype; resistance gene
Abstract:To investigate the prevalence of O serotypes and resistance genes among lung pathogenic Escherichia coli (LPEC) that isolated from forest musk deer, slide agglutination and polymerase chain reaction (PCR) were performed in this study. A total of 16 LPEC isolates were identified by O serotype identification. These isolates distributed in 9 serogroups and O78 was the dominant serotype with a positive rate of 43.75% (7/16). The results of PCR detection showed that 29 LPEC isolates were multidrug resistant. Mainly detected resistance genes were related to sulfanilamides (sul1sul2sul3), quinolones (aac (6’) –Ib and qnrB), lactamases (blaTEM and blaCTX-M), aminoglycosides (aac(3)-IIa and ant(3”))- Ia and tetracyclines (tet(B)). The average resistant rates were 100%, 96.55%, 96.55%, 100%, 86.21%, 100%, 65.52%, 100%, 96.55% and 58.62%, respectively. The results have an important guiding significance for clinical scientific and rational drug application
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