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VicPred: A Vibrio cholerae Genotype Prediction Tool
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 pa...
Autores principales: | , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Frontiers Media S.A.
2021
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458814/ https://www.ncbi.nlm.nih.gov/pubmed/34566903 http://dx.doi.org/10.3389/fmicb.2021.691895 |
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author | Lee, Imchang Ha, Sung-Min Baek, Min-gyung Kim, Dong Wook Yi, Hana Chun, Jongsik |
author_facet | Lee, Imchang Ha, Sung-Min Baek, Min-gyung Kim, Dong Wook Yi, Hana Chun, Jongsik |
author_sort | Lee, Imchang |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-8458814 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2021 |
publisher | Frontiers Media S.A. |
record_format | MEDLINE/PubMed |
spelling | pubmed-84588142021-09-24 VicPred: A Vibrio cholerae Genotype Prediction Tool Lee, Imchang Ha, Sung-Min Baek, Min-gyung Kim, Dong Wook Yi, Hana Chun, Jongsik Front Microbiol Microbiology 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. Frontiers Media S.A. 2021-09-09 /pmc/articles/PMC8458814/ /pubmed/34566903 http://dx.doi.org/10.3389/fmicb.2021.691895 Text en Copyright © 2021 Lee, Ha, Baek, Kim, Yi and Chun. https://creativecommons.org/licenses/by/4.0/This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms. |
spellingShingle | Microbiology Lee, Imchang Ha, Sung-Min Baek, Min-gyung Kim, Dong Wook Yi, Hana Chun, Jongsik VicPred: A Vibrio cholerae Genotype Prediction Tool |
title | VicPred: A Vibrio cholerae Genotype Prediction Tool |
title_full | VicPred: A Vibrio cholerae Genotype Prediction Tool |
title_fullStr | VicPred: A Vibrio cholerae Genotype Prediction Tool |
title_full_unstemmed | VicPred: A Vibrio cholerae Genotype Prediction Tool |
title_short | VicPred: A Vibrio cholerae Genotype Prediction Tool |
title_sort | vicpred: a vibrio cholerae genotype prediction tool |
topic | Microbiology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8458814/ https://www.ncbi.nlm.nih.gov/pubmed/34566903 http://dx.doi.org/10.3389/fmicb.2021.691895 |
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