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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...
Autores principales: | , , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2023
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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 |
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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 |
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