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Are the predicted known bacterial strains in a sample really present? A case study
With mutations constantly accumulating in bacterial genomes, it is unclear whether the previously identified bacterial strains are really present in an extant sample. To address this question, we did a case study on the known strains of the bacterial species S. aureus and S. epidermis in 68 atopic d...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575510/ https://www.ncbi.nlm.nih.gov/pubmed/37831725 http://dx.doi.org/10.1371/journal.pone.0291964 |
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author | Ventolero, Minerva Wang, Saidi Hu, Haiyan Li, Xiaoman |
author_facet | Ventolero, Minerva Wang, Saidi Hu, Haiyan Li, Xiaoman |
author_sort | Ventolero, Minerva |
collection | PubMed |
description | With mutations constantly accumulating in bacterial genomes, it is unclear whether the previously identified bacterial strains are really present in an extant sample. To address this question, we did a case study on the known strains of the bacterial species S. aureus and S. epidermis in 68 atopic dermatitis shotgun metagenomic samples. We evaluated the likelihood of the presence of all sixteen known strains predicted in the original study and by two popular tools in this study. We found that even with the same tool, only two known strains were predicted by the original study and this study. Moreover, none of the sixteen known strains was likely present in these 68 samples. Our study thus indicates the limitation of the known-strain-based studies, especially those on rapidly evolving bacterial species. It implies the unlikely presence of the previously identified known strains in a current environmental sample. It also called for de novo bacterial strain identification directly from shotgun metagenomic reads. |
format | Online Article Text |
id | pubmed-10575510 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-105755102023-10-14 Are the predicted known bacterial strains in a sample really present? A case study Ventolero, Minerva Wang, Saidi Hu, Haiyan Li, Xiaoman PLoS One Research Article With mutations constantly accumulating in bacterial genomes, it is unclear whether the previously identified bacterial strains are really present in an extant sample. To address this question, we did a case study on the known strains of the bacterial species S. aureus and S. epidermis in 68 atopic dermatitis shotgun metagenomic samples. We evaluated the likelihood of the presence of all sixteen known strains predicted in the original study and by two popular tools in this study. We found that even with the same tool, only two known strains were predicted by the original study and this study. Moreover, none of the sixteen known strains was likely present in these 68 samples. Our study thus indicates the limitation of the known-strain-based studies, especially those on rapidly evolving bacterial species. It implies the unlikely presence of the previously identified known strains in a current environmental sample. It also called for de novo bacterial strain identification directly from shotgun metagenomic reads. Public Library of Science 2023-10-13 /pmc/articles/PMC10575510/ /pubmed/37831725 http://dx.doi.org/10.1371/journal.pone.0291964 Text en © 2023 Ventolero et al 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 use, distribution, and reproduction in any medium, provided the original author and source are credited. |
spellingShingle | Research Article Ventolero, Minerva Wang, Saidi Hu, Haiyan Li, Xiaoman Are the predicted known bacterial strains in a sample really present? A case study |
title | Are the predicted known bacterial strains in a sample really present? A case study |
title_full | Are the predicted known bacterial strains in a sample really present? A case study |
title_fullStr | Are the predicted known bacterial strains in a sample really present? A case study |
title_full_unstemmed | Are the predicted known bacterial strains in a sample really present? A case study |
title_short | Are the predicted known bacterial strains in a sample really present? A case study |
title_sort | are the predicted known bacterial strains in a sample really present? a case study |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10575510/ https://www.ncbi.nlm.nih.gov/pubmed/37831725 http://dx.doi.org/10.1371/journal.pone.0291964 |
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