University of Lyon, Research group on "Bacterial Opportunistic Pathogens and Environment", UMR Ecologie Microbienne, CNRS 5557, INRA 1418, University Lyon 1, VetAgro Sup, 69280 Marcy L'Etoile, France.
University of Lyon, Research group on "Bacterial Opportunistic Pathogens and Environment", UMR Ecologie Microbienne, CNRS 5557, INRA 1418, University Lyon 1, VetAgro Sup, 69280 Marcy L'Etoile, France.
Int J Food Microbiol. 2018 Feb 2;266:324-336. doi: 10.1016/j.ijfoodmicro.2017.10.018. Epub 2017 Dec 5.
The tropism of pathogenic STEC for foodstuffs and cattle reservoir is related to functional specializations. An investigation of C-source utilization patterns among and between STEC serogroups was performed using omnilog phenotypic microarrays (OM). OM functional groupings were compared with STEC phylogroups, seropathotypes, EFSA's molecular risk assessment groups and serogroups. OM INT reduction activities of 37 STEC strains growing on 190 C-substrates were compared. Each strain had its own specific C-utilization profile but 23% of the substrates was used by all strains, 47% by none, and 30% was variably metabolized. Galactose, mannose, N-acetyl-glucosamine (GlcNAc), and N-acetyl neuraminic acid (Neu5Ac) found in the mucus layer of the bovine small intestine were metabolized by all strains. The 56 most informative substrates divided the C-utilization patterns (CP) into three clusters with: (A) harboring all O157 and O145 strains; (B) all O26 strains, and (C) strains of the other serogroups. Significant correlations between INT reduction values of pair of strains per CP group supported these differentiations. CP of group A and B strains were respectively defective in the use of galactonic acid-γ-lactone and rhamnose. Most CP group C strains grew with l-lyxose. Adjusted Wallace coefficients analyses of the datasets indicated high probabilities for the prediction of the use of glycolic acid, β-hydroxybutyric acid, l-lyxose and d-galactonic acid-γ-lactone and 5-keto-d-gluconic acid by a serogroup. The use of a C-substrate could be predicted from the classification of a strain into a phylogroup or seropathotype. Significantly lower numbers of C-substrates were used by seropathotype A strains like O157 ones. Improvements of STEC identification keys were proposed using the most discriminant C-substrates found in this study.
肠出血性大肠杆菌(STEC)对食品和牛储存库的趋向性与其功能特化有关。本研究使用 omnilog 表型微阵列(OM)对 STEC 血清群之间和内部的 C 源利用模式进行了调查。OM 功能分组与 STEC 系统发育群、血清型、EFSA 分子风险评估组和血清群进行了比较。比较了在 190 种 C 底物上生长的 37 株 STEC 菌株的 OM INT 还原活性。每个菌株都有自己特定的 C 利用谱,但有 23%的底物被所有菌株利用,47%的菌株不利用,30%的菌株则有差异代谢。牛小肠黏液层中存在的半乳糖、甘露糖、N-乙酰葡萄糖胺(GlcNAc)和 N-乙酰神经氨酸(Neu5Ac)被所有菌株代谢。这 56 种最具信息量的底物将 C 利用模式(CP)分为三个簇:(A)包含所有 O157 和 O145 菌株;(B)所有 O26 菌株,和(C)其他血清群的菌株。CP 组内每对菌株的 INT 还原值之间存在显著相关性,支持这些分化。CP 组 A 和 B 菌株分别在利用半乳糖酸-γ-内酯和鼠李糖方面存在缺陷。大多数 CP 组 C 菌株利用 L-木酮糖生长。对数据集的调整 Wallace 系数分析表明,对一个血清群利用乙二醇酸、β-羟基丁酸、L-木酮糖、D-半乳糖酸-γ-内酯和 5-酮-D-葡萄糖酸的预测有很高的可能性。从菌株分类为系统发育群或血清型可以预测 C 底物的利用。像 O157 这样的血清型 A 菌株利用的 C 底物数量明显减少。本研究提出了使用最具判别力的 C 底物来改进 STEC 鉴定标准。