Detailed Information

Cited 0 time in webofscience Cited 0 time in scopus
Metadata Downloads

VicPred: A Vibrio cholerae Genotype Prediction Tool

Authors
Lee, ImchangHa, Sung-MinBaek, Min-gyungKim, Dong WookYi, HanaChun, Jongsik
Issue Date
9-9월-2021
Publisher
FRONTIERS MEDIA SA
Keywords
7th pandemics; CTX phi; O serogroup; SXT; VPI; VSP; Vibrio cholera; cholera
Citation
FRONTIERS IN MICROBIOLOGY, v.12
Indexed
SCIE
SCOPUS
Journal Title
FRONTIERS IN MICROBIOLOGY
Volume
12
URI
https://scholar.korea.ac.kr/handle/2021.sw.korea/136370
DOI
10.3389/fmicb.2021.691895
ISSN
1664-302X
Abstract
Genomic information can be used to predict major pathogenic traits of pathogens without the need for laboratory experimentation. However, no Vibrio cholerae genome-based trait identification tools currently exist. The aim of this study was to develop a web-based prediction tool to identify Vibrio pathogenic traits using publicly available 796 whole-genome sequences of V. cholerae. Using this application, 68 structural O-antigen gene clusters belonging to 49 serogroups of V. cholerae 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 V. cholerae, and the increasing trend in drug-resistance revealing high resistance of the V. cholerae strains to certain antibiotics. The pathogenic traits of newly sequenced V. cholerae 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.
Files in This Item
There are no files associated with this item.
Appears in
Collections
College of Health Sciences > School of Biosystems and Biomedical Sciences > 1. Journal Articles

qrcode

Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.

Related Researcher

Researcher Yi, Ha na photo

Yi, Ha na
보건과학대학 (바이오시스템의과학부)
Read more

Altmetrics

Total Views & Downloads

BROWSE