Department of Microbiology and Molecular Genetics, Michigan State University, 1129 Farm Lane, East Lansing, MI, 48824, USA.
Michigan Department of Health and Human Services, Bureau of Laboratories, Lansing, MI, 48906, USA.
Sci Rep. 2021 Feb 24;11(1):4461. doi: 10.1038/s41598-021-83775-z.
Non-O157 STEC are increasingly linked to foodborne infections, yet little is known about the diversity and molecular epidemiology across locations. Herein, we used whole genome sequencing to examine genetic variation in 894 isolates collected from Michigan patients between 2001 and 2018. In all, 67 serotypes representing 69 multilocus sequence types were identified. Serotype diversity increased from an average of four (2001-2006) to 17 (2008-2018) serotypes per year. The top six serogroups reported nationally caused > 60% of infections in 16 of the 18 years; serogroups O111 and O45 were associated with hospitalization as were age ≥ 65 years, diarrhea with blood and female sex. Phylogenetic analyses of seven multilocus sequence typing (MLST) loci identified three clades as well as evidence of parallel evolution and recombination. Most (95.5%) isolates belonged to one clade, which could be further differentiated into seven subclades comprising isolates with varying virulence gene profiles and serotypes. No association was observed between specific clades and the epidemiological data, suggesting that serogroup- and serotype-specific associations are more important predictors of disease outcomes than lineages defined by MLST. Molecular epidemiological studies of non-O157 STEC are important to enhance understanding of circulating strain distributions and traits, genetic variation, and factors that may impact disease risk and severity.
非 O157 型肠出血性大肠杆菌(STEC)与食源性感染的关联性日益增强,但人们对其在不同地理位置的多样性和分子流行病学了解甚少。在此,我们使用全基因组测序技术,对 2001 年至 2018 年间密歇根州患者采集的 894 株分离株的遗传变异进行了研究。共鉴定出 67 个血清型,代表 69 个多位点序列型。血清型多样性从 2001-2006 年的平均每年 4 个血清型增加到 2008-2018 年的 17 个血清型。在 18 年中的 16 年里,全国报告的前六大血清群导致了超过 60%的感染;血清群 O111 和 O45 与住院有关,年龄≥65 岁、腹泻伴血便和女性也与住院有关。对 7 个多位点序列分型(MLST)基因座的系统发育分析确定了三个进化枝,以及平行进化和重组的证据。大多数(95.5%)分离株属于一个进化枝,可进一步细分为 7 个子进化枝,包含具有不同毒力基因谱和血清型的分离株。未观察到特定进化枝与流行病学数据之间存在关联,这表明血清型和血清型特异性关联是疾病结果的更重要预测因子,而不是由 MLST 定义的谱系。非 O157 型 STEC 的分子流行病学研究对于增强对流行株分布和特征、遗传变异以及可能影响疾病风险和严重程度的因素的理解非常重要。