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Discrimination of multilocus sequence typing-based Campylobacter jejuni subgroups by MALDI-TOF mass spectrometry

机译:MALDI-TOF质谱法辨别多层序列键入基于脉冲曲线的Jejuni亚组

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Background Campylobacter jejuni, the most common bacterial pathogen causing gastroenteritis, shows a wide genetic diversity. Previously, we demonstrated by the combination of multi locus sequence typing (MLST)-based UPGMA-clustering and analysis of 16 genetic markers that twelve different C. jejuni subgroups can be distinguished. Among these are two prominent subgroups. The first subgroup contains the majority of hyperinvasive strains and is characterized by a dimeric form of the chemotaxis-receptor Tlp7m+c. The second has an extended amino acid metabolism and is characterized by the presence of a periplasmic asparaginase (ansB) and gamma-glutamyl-transpeptidase (ggt). Results Phyloproteomic principal component analysis (PCA) hierarchical clustering of MALDI-TOF based intact cell mass spectrometry (ICMS) spectra was able to group particular C. jejuni subgroups of phylogenetic related isolates in distinct clusters. Especially the aforementioned Tlp7m+c+ and ansB+/ ggt+ subgroups could be discriminated by PCA. Overlay of ICMS spectra of all isolates led to the identification of characteristic biomarker ions for these specific C. jejuni subgroups. Thus, mass peak shifts can be used to identify the C. jejuni subgroup with an extended amino acid metabolism. Conclusions Although the PCA hierarchical clustering of ICMS-spectra groups the tested isolates into a different order as compared to MLST-based UPGMA-clustering, the isolates of the indicator-groups form predominantly coherent clusters. These clusters reflect phenotypic aspects better than phylogenetic clustering, indicating that the genes corresponding to the biomarker ions are phylogenetically coupled to the tested marker genes. Thus, PCA clustering could be an additional tool for analyzing the relatedness of bacterial isolates.
机译:背景Campylobacter Jejuni,导致胃肠炎的最常见的细菌病原体显示出广泛的遗传多样性。以前,我们通过多基因座序列键入(MLST)的组合证明了基于C. Jejuni子群的16种遗传标记的组合和分析。其中包括两个突出的亚组。第一个亚组含有大多数患者菌株,其特征在于化学受体TLP7 M + C M + C + 和ANSB + / ggt + 子群可以通过PCA歧视。所有分离物的ICMS光谱覆盖导致这些特异性C. Jejuni亚组的特征生物标志物离子。因此,质量峰值偏移可用于鉴定具有延长的氨基酸代谢的C.Jejuni亚组。结论尽管与基于MLST的UPGMA聚类相比,ICMS-Spectra的PCA分层聚类将测试的分离物分为不同的顺序,但指标组的分离株主要形成相干的簇。这些簇反映了比系统发育聚类更好的表型方面,表明对应于生物标志物离子的基因是与测试的标记基因偶联的。因此,PCA聚类可以是用于分析细菌分离株的相关性的额外工具。

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