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(GTG)5-聚合酶链反应指纹图谱用于分类和鉴定牛乳和乳头顶端的凝固酶阴性葡萄球菌种:标准株和田间分离株的比较。

(GTG)5-PCR fingerprinting for the classification and identification of coagulase-negative Staphylococcus species from bovine milk and teat apices: a comparison of type strains and field isolates.

机构信息

Research Group of Industrial Microbiology and Food Biotechnology (IMDO), Faculty of Sciences and Bio-engineering Sciences, Vrije Universiteit Brussel, Pleinlaan 2, B-1050 Brussels, Belgium.

出版信息

Vet Microbiol. 2011 Jan 10;147(1-2):67-74. doi: 10.1016/j.vetmic.2010.05.044. Epub 2010 Jun 9.

DOI:10.1016/j.vetmic.2010.05.044
PMID:20599332
Abstract

Due to significant financial losses in the dairy cattle farming industry caused by mastitis and the possible influence of coagulase-negative staphylococci (CNS) in the development of this disease, accurate identification methods are needed that untangle the different species of the diverse CNS group. In this study, 39 Staphylococcus type strains and 253 field isolates were subjected to (GTG)(5)-PCR fingerprinting to construct a reference framework for the classification and identification of different CNS from (sub)clinical milk samples and teat apices swabs. Validation of the reference framework was performed by dividing the field isolates in two separate groups and testing whether one group of field isolates, in combination with type strains, could be used for a correct classification and identification of a second group of field isolates. (GTG)(5)-PCR fingerprinting achieved a typeability of 94.7% and an accuracy of 94.3% compared to identifications based on gene sequencing. The study shows the usefulness of the method to determine the identity of bovine Staphylococcus species, provided an identification framework updated with field isolates is available.

摘要

由于乳腺炎导致奶牛养殖业遭受重大经济损失,以及凝固酶阴性葡萄球菌(CNS)可能影响该病的发展,因此需要准确的鉴定方法来理清不同种类的CNS 群体。在这项研究中,对 39 株葡萄球菌标准株和 253 株临床分离株进行了(GTG)(5)-PCR 指纹图谱分析,为(亚)临床奶样和乳突拭子中不同 CNS 的分类和鉴定构建了参考框架。通过将临床分离株分为两组,并测试一组临床分离株与标准株结合是否可用于正确分类和鉴定第二组临床分离株,对参考框架进行了验证。与基于基因测序的鉴定相比,(GTG)(5)-PCR 指纹图谱分析的分型率为 94.7%,准确率为 94.3%。该研究表明,该方法对于确定牛葡萄球菌的种类非常有用,前提是提供了一个更新的包含临床分离株的鉴定框架。

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