Lee Imchang, Ha Sung-Min, Baek Min-Gyung, Kim Dong Wook, Yi Hana, Chun Jongsik
School of Biological Sciences, Seoul National University, Seoul, South Korea.
Institute for Biomaterials, Korea University, Seoul, South Korea.
Front Microbiol. 2021 Sep 9;12:691895. doi: 10.3389/fmicb.2021.691895. eCollection 2021.
Genomic information can be used to predict major pathogenic traits of pathogens without the need for laboratory experimentation. However, no genome-based trait identification tools currently exist. The aim of this study was to develop a web-based prediction tool to identify pathogenic traits using publicly available 796 whole-genome sequences of . Using this application, 68 structural O-antigen gene clusters belonging to 49 serogroups of were classified, and the composition of the genes within the O-antigen cluster of each serogroup was identified. The arrangement and location of the CTX prophage and related elements of the seventh cholera pandemic strains were also revealed. With the versatile tool, named VicPred, we analyzed the assemblage of various SXTs (sulfamethoxazole/trimethoprim resistance element) and major genomic islands (GIs) of , and the increasing trend in drug-resistance revealing high resistance of the strains to certain antibiotics. The pathogenic traits of newly sequenced strains could be analyzed based on these characteristics. The accumulation of further genome data will expedite the establishment of a more precise genome-based pathogenic traits analysis tool.
基因组信息可用于预测病原体的主要致病特征,而无需进行实验室实验。然而,目前尚不存在基于基因组的性状鉴定工具。本研究的目的是开发一种基于网络的预测工具,利用公开可用的796个全基因组序列来鉴定致病特征。使用该应用程序,对属于49个血清群的68个结构性O抗原基因簇进行了分类,并确定了每个血清群O抗原簇内基因的组成。还揭示了第七次霍乱大流行菌株的CTX前噬菌体及相关元件的排列和位置。借助名为VicPred的通用工具,我们分析了各种SXTs(磺胺甲恶唑/甲氧苄啶抗性元件)和主要基因组岛(GIs)的组合,以及耐药性的增加趋势,揭示了这些菌株对某些抗生素的高抗性。新测序的这些菌株的致病特征可基于这些特性进行分析。进一步基因组数据的积累将加速建立更精确的基于基因组的致病特征分析工具。