部分鸡场致病性葡萄球菌的分离·鉴定·药敏试验
Isolation, Identification and Drug Sensitivity of Pathogenic Staphylococcus in Some Chicken Farms
钱昌银 1胡晓苗2
作者信息
- 1. 合肥市动物疫病预防控制中心,安徽合肥230601
- 2. 安徽农业科学院畜牧兽医研究所,安徽合肥230031
- 折叠
摘要
[目的]从合肥地区部分养鸡场病鸡组织中分离葡萄球菌,并对其进行鉴定和药敏试验.[方法]从合肥地区部分养鸡场病鸡组织中分离葡萄球菌,并通过形态特征观察、溶血性试验、血浆凝固酶试验、生化试验对其进行鉴定,最后对其进行药敏试验.[结果]共分离到9株葡萄球菌.经鉴定,其中4株为金黄色葡萄球菌,在临床分离的葡萄球菌中为优势群株;在凝固酶阴性葡萄球菌中2株为头状葡萄球菌,孔氏葡萄球菌、模仿葡萄球菌和沃氏葡萄球菌各1株.这说明金黄色葡萄球菌是合肥地区家禽养殖场中葡萄球菌类疾病的主要病原菌.药敏试验结果表明,所有分离菌株对12种临床常用抗生素均呈不同程度的耐药性,对青霉素、复方磺胺甲噁唑和恩诺沙星有较高的耐药性.凝固酶阴性葡萄球菌与金黄色葡萄球菌在抗药性方面存在差异.[结论]在用抗生素防治葡萄球菌病时需通过药敏试验进行药物筛选.该研究结果可为养鸡场用药提供参考.
Abstract
[Objective] To isolate and identify staphylococcus in some chicken farms of Hefei,and make drug sensitivity test.[Method]Staphylococcus was isolated from some chicken farms of Hefei and the isolated strains were identified by morphological observation,haemolytic test,plasma coagulase test and biochemical tests.And drug sensitivity test was made.[Result] 9 strains of staphylococcus were isolated.4 strains of them were identified as Staphylococcus aureus,which was dominant strains.Among negative staphylococcus strains in plasma coagulase test,there were 2 strains of Staphylococcus capitis,one strain of Staphylococcus cohnii,Staphylococcus simulans,Staphylococcus warneri.These results showed that Staphylococcus aureus were main pathogen that caused Staphylococcus diseases in chicken farm of Hefei City.The drug sensitivity test results showed that all strains showed different tolerance to 12 common clinical antibiotics.All isolated strains showed higher drug tolerance to penicillin,compound sulfamethoxazole,enrofloxacin.The negative strains in plasma coagulase test and Staphylococcus aureus had difference drug tolerance.[Conclusion] Drugs should be screened out for preventing and controlling staphylococcus by drug sensitivity test.The research results can provide references for the drug administration in chicken farms.
关键词
葡萄球菌/分离/鉴定/耐药性/药敏试验Key words
Staphylococcus/Isolation/Identification/Drug tolerance/Drug sensitivity test引用本文复制引用
出版年
2017
国家科技期刊平台
NSTL
维普
万方数据