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表型微阵列在肠炎沙门氏菌血清型阿贡纳、肠炎、鸡白痢、赫维丁福斯、婴儿、纽波特和鼠伤寒沙门氏菌的代谢特征分析中的应用。

Phenotype MicroArray in the metabolic characterisation of Salmonella serotypes Agona, Enteritidis, Give, Hvittingfoss, Infantis, Newport and Typhimurium.

机构信息

Bacteriology Unit, Department of Infectious Diseases Surveillance and Control, National Institute for Health and Welfare (THL), P.O. Box 30, 00271 Helsinki, Finland.

出版信息

Eur J Clin Microbiol Infect Dis. 2010 Mar;29(3):311-7. doi: 10.1007/s10096-009-0859-5. Epub 2010 Jan 22.

DOI:10.1007/s10096-009-0859-5
PMID:20094898
Abstract

The Phenotype MicroArray (PM) technology was used to study the metabolic characteristics of 29 Salmonella strains belonging to seven serotypes of S. enterica spp. enterica. Strains of serotypes Typhimurium (six strains among definite phage types DTs 1, 40 and 104) and Agona (two strains) were tested for 949 substrates, Enteritidis (six strains of phage type PT1), Give, Hvittingfoss, Infantis and Newport strains (two of each) were tested for 190 substrates and seven other Agona strains for 95 substrates. The strains represented 18 genotypes in pulsed-field gel electrophoresis (PFGE). Among 949 substrates, 18 were identified that could be used to differentiate between the strains of those seven serotypes or within a single serotype. Unique metabolic differences between the Finnish endemic Typhimurium DT1 and Agona strains were detected, for example, in the metabolism of D-tagatose, D-galactonic acid gamma-lactone and L-proline as a carbon source. Thus, the PM technique is a useful tool for identifying potential differential markers on a metabolic basis that could be used for epidemiological surveillance.

摘要

使用表型微阵列(PM)技术研究了属于肠沙门氏菌血清型的 29 株沙门氏菌的代谢特征。测试了肠炎沙门氏菌(DTs 1、40 和 104 三种噬菌体型的 6 株)和阿贡纳沙门氏菌(2 株)的 949 种底物,肠炎沙门氏菌(噬菌体型 PT1 的 6 株)、盖特、赫维廷福斯、婴儿和纽波特(每种 2 株)的 190 种底物,以及其他 7 株阿贡纳沙门氏菌的 95 种底物。这些菌株在脉冲场凝胶电泳(PFGE)中代表 18 种基因型。在 949 种底物中,鉴定出了 18 种可用于区分这 7 种血清型或同一血清型内的菌株的底物。还检测到了芬兰地方性肠炎沙门氏菌 DT1 和阿贡纳沙门氏菌之间独特的代谢差异,例如,在 D-塔格糖、D-半乳糖酸γ-内酯和 L-脯氨酸作为碳源的代谢方面。因此,PM 技术是一种有用的工具,可用于识别基于代谢的潜在差异标记,可用于流行病学监测。

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