用于肠炎沙门氏菌血清型分子分型的微阵列
Microarray for molecular typing of Salmonella enterica serovars.
作者信息
Scaria Joy, Palaniappan Raghavan U M, Chiu David, Phan Julie Ann, Ponnala Lalit, McDonough Patrick, Grohn Yrjo T, Porwollik Steffen, McClelland Michael, Chiou Chien-Shun, Chu Chishih, Chang Yung-Fu
机构信息
Department of Population Medicine and Diagnostic Sciences, College of Veterinary Medicine, Cornell University, Ithaca, NY 14853, USA.
出版信息
Mol Cell Probes. 2008 Aug;22(4):238-43. doi: 10.1016/j.mcp.2008.04.002. Epub 2008 May 1.
We describe the development of a spotted array for the delineation of the most common 14 disease-causing Salmonella serovars in the United States. Our array consists of 414 70 mers targeting core genes of Salmonella enterica, subspecies I specific genes, fimbrial genes, pathogenicity islands, Gifsy elements and other variable genes. Using this array we were able to identify a unique gene presence/absence profile for each of the targeted serovar which was used as the serovar differentiating criteria. Based on this profile, we developed a Matlab programme that compares the profile of an unknown sample to all 14 reference serovar profiles and give out the closest serovar match. Since we have included probes targeting most of the virulence genes and variable genes in Salmonella, in addition to using for serovar detection this array could also be used for studying the virulence gene content and also for evaluating the genetic relation between different isolates of Salmonella.
我们描述了一种点阵的开发情况，用于鉴定美国最常见的14种致病性沙门氏菌血清型。我们的点阵由414个70聚体组成，靶向肠炎沙门氏菌的核心基因、亚种I特异性基因、菌毛基因、致病岛、Gifsy元件及其他可变基因。利用该点阵，我们能够为每个目标血清型确定独特的基因存在/缺失图谱，以此作为血清型鉴别标准。基于此图谱，我们开发了一个Matlab程序，该程序将未知样本的图谱与所有14种参考血清型图谱进行比较，并给出最匹配的血清型。由于我们纳入了针对沙门氏菌大多数毒力基因和可变基因的探针，因此除用于血清型检测外，该点阵还可用于研究毒力基因含量，以及评估不同沙门氏菌分离株之间的遗传关系。
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