Ewers Christa, Dematheis Flavia, Singamaneni Haritha Devi, Nandanwar Nishant, Fruth Angelika, Diehl Ines, Semmler Torsten, Wieler Lothar H
Institute for Hygiene and Infectious Diseases of Animals, Justus-Liebig-Universität Giessen, Frankfurter Str. 85-89, Giessen, 35392, Germany.
Centre for Infection Medicine, Institute of Microbiology and Epizootics, Freie Universität Berlin, Robert-von-Ostertag-Str. 7-13, Berlin, 14163, Germany.
Gut Pathog. 2014 Sep 16;6:37. doi: 10.1186/s13099-014-0037-x. eCollection 2014.
The mutS-rpoS intergenic region in E. coli displays a mosaic structure which revealed pathotype specific patterns. To assess the importance of this region as a surrogate marker for the identification of highly virulent extraintestinal pathogenic E. coli (ExPEC) strains we aimed to: (i) characterize the genetic diversity of the mutS gene and the o454-nlpD genomic region among 510 E. coli strains from animals and humans; (ii) delineate associations between the polymorphism of this region and features such as phylogenetic background of E. coli, pathotype, host species, clinical condition, serogroup and virulence associated genes (VAG)s; and (iii) identify the most important VAGs for classification of the o454-nlpD region.
Size variation in the o454-nlpD region was investigated by PCR amplification and sequencing. Phylogenetic relationships were assessed by Ecor- and Multilocus sequence- typing (MLST), and a comparative analysis between mutS gene phylogenetic tree obtained with RAxML and the MLST grouping method was performed. Correlation between o454-nlpD patterns and the features described above were analysed. In addition, the importance of 47 PCR-amplified ExPEC-related VAGs for classification of o454-nlpD patterns was investigated by means of Random Forest algorithm.
Four main structures (patterns I-IV) of the o454-nlpD region among ExPEC and commensal E. coli strains were identified. Statistical analysis showed a positive and exclusive association between pattern III and the ExPEC strains. A strong association between pattern III and either the Ecor group B2 or the sequence type complexes known to represent the phylogenetic background of highly virulent ExPEC strains (such as STC95, STC73 and STC131) was found as well. RF analyses determined five genes (csgA, malX, chuA, sit, and vat) to be suitable to predict pattern III strains.
The significant association between pattern III and group B2 strains suggested the o454-nlpD region to be of great value in identifying highly virulent strains among the mixed population of E. coli promising to be the basis of a future typing tool for ExPEC and their gut reservoir. Furthermore, top-ranked VAGs for classification and prediction of pattern III were identified. These data are most valuable for defining ExPEC pathotype in future in vivo assays.
大肠杆菌中的mutS - rpoS基因间区域呈现出镶嵌结构,揭示了致病型特异性模式。为评估该区域作为鉴定高毒力肠外致病性大肠杆菌(ExPEC)菌株替代标志物的重要性,我们旨在:(i)表征510株来自动物和人类的大肠杆菌中mutS基因和o454 - nlpD基因组区域的遗传多样性;(ii)描绘该区域多态性与大肠杆菌系统发育背景、致病型、宿主物种、临床状况、血清群和毒力相关基因(VAG)等特征之间的关联;(iii)确定o454 - nlpD区域分类中最重要的VAG。
通过PCR扩增和测序研究o454 - nlpD区域的大小变异。通过Ecor - 和多位点序列分型(MLST)评估系统发育关系,并对用RAxML获得的mutS基因系统发育树和MLST分组方法进行比较分析。分析o454 - nlpD模式与上述特征之间的相关性。此外,借助随机森林算法研究47个PCR扩增的ExPEC相关VAG对o454 - nlpD模式分类的重要性。
在ExPEC和共生大肠杆菌菌株中鉴定出o454 - nlpD区域的四种主要结构(模式I - IV)。统计分析表明模式III与ExPEC菌株之间存在正向且排他性的关联。还发现模式III与Ecor B2组或已知代表高毒力ExPEC菌株系统发育背景的序列类型复合体(如STC95、STC73和STC131)之间存在强关联。随机森林分析确定五个基因(csgA、malX、chuA、sit和vat)适合预测模式III菌株。
模式III与B2组菌株之间的显著关联表明o454 - nlpD区域在鉴定大肠杆菌混合群体中的高毒力菌株方面具有重要价值,有望成为未来ExPEC及其肠道储存菌分型工具的基础。此外,确定了模式III分类和预测的顶级VAG。这些数据对于未来体内试验中定义ExPEC致病型最有价值。