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鸡败血支原体多位点序列分型(MLST)检测方法的开发。

Development of multilocus sequence typing (MLST) assay for Mycoplasma iowae.

作者信息

Ghanem Mostafa, El-Gazzar Mohamed

机构信息

Department of Veterinary Preventive Medicine, College of Veterinary Medicine, The Ohio State University, Columbus, OH, 43210, USA.

出版信息

Vet Microbiol. 2016 Nov 15;195:2-8. doi: 10.1016/j.vetmic.2016.08.013. Epub 2016 Aug 17.

Abstract

Mycoplasma iowae (MI) infection is an economically and commercially important disease of turkeys. There are no sequence typing assays available for MI strain identification, the only available molecular tools for this purpose, are DNA fingerprinting assays. In addition to their low reproducibility, fingerprinting assays require isolation of the microorganism in pure culture, which is difficult for avian mycoplasma. Therefore, we propose a multilocus sequence typing (MLST) assay as the first genotyping assay for identification of MI. Based on the two available MI genomes on GenBank, 26 loci of housekeeping genes were identified and studied in a diverse sample set. Finally, six genes were selected for the newly developed MLST assay. The final sequence analysis of the six loci (total of 5019bp) (dppC, ulaA, valS, rpoC, leuS, kdpA) allowed the differentiation of 47 MI samples into 23 unique sequence types. Moreover, when only 4 loci were used to type the same set of samples, they resulted in 20 unique sequence types. Analysis of phylogenetic trees and clonal groups generated by MLST displayed a high degree of agreement with geographical and temporal information of the tested samples. MLST is a highly reproducible molecular epidemiology assay that can be used to identify positive clinical cases directly from DNA samples. Therefore, it provides a useful tool allowing for better identification, control and eradication efforts.

摘要

鸡败血支原体(MI)感染是火鸡的一种具有经济和商业重要性的疾病。目前尚无用于MI菌株鉴定的序列分型检测方法,为此唯一可用的分子工具是DNA指纹图谱检测法。除了重复性低之外,指纹图谱检测法还需要在纯培养物中分离微生物,这对于禽支原体来说很困难。因此,我们提出一种多位点序列分型(MLST)检测法作为鉴定MI的首个基因分型检测法。基于GenBank上两个可用的MI基因组,在一组多样的样本中鉴定并研究了26个管家基因位点。最后,为新开发的MLST检测法选择了六个基因。对六个位点(共5019bp)(dppC、ulaA、valS、rpoC、leuS、kdpA)的最终序列分析能够将47个MI样本分为23种独特的序列类型。此外,当仅使用4个位点对同一组样本进行分型时,得到了20种独特的序列类型。对MLST生成的系统发育树和克隆群的分析显示与测试样本的地理和时间信息高度一致。MLST是一种高度可重复的分子流行病学检测方法,可用于直接从DNA样本中鉴定阳性临床病例。因此,它提供了一个有用的工具,有助于更好地进行鉴定、控制和根除工作。

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