Cargando…

mStrain: strain-level identification of Yersinia pestis using metagenomic data

MOTIVATION: High-resolution target pathogen detection using metagenomic sequencing data represents a major challenge due to the low concentration of target pathogens in samples. We introduced mStrain, a novel Yesinia pestis strain/lineage-level identification tool that utilizes metagenomic data. mSt...

Descripción completa

Detalles Bibliográficos
Autores principales: Qian, Xiuwei, Wu, Yarong, Zuo, Xiujuan, Peng, Xin, Guo, Yan, Yang, Ruifu, Zhang, Xianglilan, Cui, Yujun
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516513/
https://www.ncbi.nlm.nih.gov/pubmed/37745000
http://dx.doi.org/10.1093/bioadv/vbad115
_version_ 1785109142514434048
author Qian, Xiuwei
Wu, Yarong
Zuo, Xiujuan
Peng, Xin
Guo, Yan
Yang, Ruifu
Zhang, Xianglilan
Cui, Yujun
author_facet Qian, Xiuwei
Wu, Yarong
Zuo, Xiujuan
Peng, Xin
Guo, Yan
Yang, Ruifu
Zhang, Xianglilan
Cui, Yujun
author_sort Qian, Xiuwei
collection PubMed
description MOTIVATION: High-resolution target pathogen detection using metagenomic sequencing data represents a major challenge due to the low concentration of target pathogens in samples. We introduced mStrain, a novel Yesinia pestis strain/lineage-level identification tool that utilizes metagenomic data. mStrain successfully identified Y. pestis at the strain/lineage level by extracting sufficient information regarding single-nucleotide polymorphisms (SNPs), which can therefore be an effective tool for identification and source tracking of Y. pestis based on metagenomic data during a plague outbreak. DEFINITION:   STRAIN-LEVEL IDENTIFICATION: Assigning the reads in the metagenomic sequencing data to an exactly known or most closely representative Y. pestis strain. LINEAGE-LEVEL IDENTIFICATION: Assigning the reads in the metagenomic sequencing data to a specific lineage on the phylogenetic tree. CANOSNPS: The unique and typical SNPs present in all representative strains. ANCESTOR/DERIVED STATE: An SNP is defined as the ancestor state when consistent with the allele of Yersinia pseudotuberculosis strain IP32953; otherwise, the SNP is defined as the derived state. AVAILABILITY AND IMPLEMENTATION: The code for running mStrain, the test dataset, and instructions for running the code can be found at the following GitHub repository: https://github.com/xwqian1123/mStrain.
format Online
Article
Text
id pubmed-10516513
institution National Center for Biotechnology Information
language English
publishDate 2023
publisher Oxford University Press
record_format MEDLINE/PubMed
spelling pubmed-105165132023-09-23 mStrain: strain-level identification of Yersinia pestis using metagenomic data Qian, Xiuwei Wu, Yarong Zuo, Xiujuan Peng, Xin Guo, Yan Yang, Ruifu Zhang, Xianglilan Cui, Yujun Bioinform Adv Original Article MOTIVATION: High-resolution target pathogen detection using metagenomic sequencing data represents a major challenge due to the low concentration of target pathogens in samples. We introduced mStrain, a novel Yesinia pestis strain/lineage-level identification tool that utilizes metagenomic data. mStrain successfully identified Y. pestis at the strain/lineage level by extracting sufficient information regarding single-nucleotide polymorphisms (SNPs), which can therefore be an effective tool for identification and source tracking of Y. pestis based on metagenomic data during a plague outbreak. DEFINITION:   STRAIN-LEVEL IDENTIFICATION: Assigning the reads in the metagenomic sequencing data to an exactly known or most closely representative Y. pestis strain. LINEAGE-LEVEL IDENTIFICATION: Assigning the reads in the metagenomic sequencing data to a specific lineage on the phylogenetic tree. CANOSNPS: The unique and typical SNPs present in all representative strains. ANCESTOR/DERIVED STATE: An SNP is defined as the ancestor state when consistent with the allele of Yersinia pseudotuberculosis strain IP32953; otherwise, the SNP is defined as the derived state. AVAILABILITY AND IMPLEMENTATION: The code for running mStrain, the test dataset, and instructions for running the code can be found at the following GitHub repository: https://github.com/xwqian1123/mStrain. Oxford University Press 2023-09-15 /pmc/articles/PMC10516513/ /pubmed/37745000 http://dx.doi.org/10.1093/bioadv/vbad115 Text en © The Author(s) 2023. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
spellingShingle Original Article
Qian, Xiuwei
Wu, Yarong
Zuo, Xiujuan
Peng, Xin
Guo, Yan
Yang, Ruifu
Zhang, Xianglilan
Cui, Yujun
mStrain: strain-level identification of Yersinia pestis using metagenomic data
title mStrain: strain-level identification of Yersinia pestis using metagenomic data
title_full mStrain: strain-level identification of Yersinia pestis using metagenomic data
title_fullStr mStrain: strain-level identification of Yersinia pestis using metagenomic data
title_full_unstemmed mStrain: strain-level identification of Yersinia pestis using metagenomic data
title_short mStrain: strain-level identification of Yersinia pestis using metagenomic data
title_sort mstrain: strain-level identification of yersinia pestis using metagenomic data
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10516513/
https://www.ncbi.nlm.nih.gov/pubmed/37745000
http://dx.doi.org/10.1093/bioadv/vbad115
work_keys_str_mv AT qianxiuwei mstrainstrainlevelidentificationofyersiniapestisusingmetagenomicdata
AT wuyarong mstrainstrainlevelidentificationofyersiniapestisusingmetagenomicdata
AT zuoxiujuan mstrainstrainlevelidentificationofyersiniapestisusingmetagenomicdata
AT pengxin mstrainstrainlevelidentificationofyersiniapestisusingmetagenomicdata
AT guoyan mstrainstrainlevelidentificationofyersiniapestisusingmetagenomicdata
AT yangruifu mstrainstrainlevelidentificationofyersiniapestisusingmetagenomicdata
AT zhangxianglilan mstrainstrainlevelidentificationofyersiniapestisusingmetagenomicdata
AT cuiyujun mstrainstrainlevelidentificationofyersiniapestisusingmetagenomicdata