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Development of Multilocus Sequence Typing (MLST) for Mycoplasma synoviae

生物 多位点序列分型 系统发育树 打字 滑膜支原体 拉伤 基因 遗传学 支原体 基因型 鸡败血症支原体 解剖
作者
Mohamed El‐Gazzar,Mostafa Ghanem,Kristina McDonald,Naola Ferguson‐Noel,Ziv Raviv,Richard D. Slemons
出处
期刊:Avian Diseases [American Association of Avian Pathologists]
卷期号:61 (1): 25-25 被引量:20
标识
DOI:10.1637/11417-040516-reg
摘要

Mycoplasma synoviae (MS) is a poultry pathogen that has had an increasing incidence and economic impact over the past few years. Strain identification is necessary for outbreak investigation, infection source identification, and facilitating prevention and control as well as eradication efforts. Currently, a segment of the variable lipoprotein hemagglutinin A (vlhA) gene (420 bp) is the only target that is used for MS strain identification. A major limitation of this assay is that colonality of typed samples can only be inferred if their vlhA sequences are identical; however, if their sequences are different, the degree of relatedness is uncertain. In this study we propose a multilocus sequence typing (MLST) assay to further refine MS strain identification. After initial screening of 24 housekeeping genes as potential targets, seven genes were selected for the MLST assay. An internal segment (450–711 bp) from each of the seven genes was successfully amplified and sequenced from 58 different MS strains and field isolates (n = 30) or positive clinical samples (n = 28). The collective sequence of all seven gene segments (3960 bp total) was used for MS sequence typing. The 58 tested MS samples were typed into 30 different sequence types using the MLST assay and, coincidentally, all the samples were typed into 30 sequence types using the vlhA assay. However, the phylogenetic tree generated using the MLST data was more congruent to the epidemiologic information than was the tree generated by the vlhA assay. We suggest that the newly developed MLST assay and the vlhA assay could be used in tandem for MS typing. The MLST assay will be a valuable and more reliable tool for MS sequence typing, providing better understanding of the epidemiology of MS infection. This in turn will aid disease prevention, control, and eradication efforts.
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