Cargando…

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...

Descripción completa

Detalles Bibliográficos
Autores principales: Ventolero, Minerva, Wang, Saidi, Hu, Haiyan, Li, Xiaoman
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Public Library of Science 2023
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
_version_ 1785120937704685568
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
work_keys_str_mv AT ventolerominerva arethepredictedknownbacterialstrainsinasamplereallypresentacasestudy
AT wangsaidi arethepredictedknownbacterialstrainsinasamplereallypresentacasestudy
AT huhaiyan arethepredictedknownbacterialstrainsinasamplereallypresentacasestudy
AT lixiaoman arethepredictedknownbacterialstrainsinasamplereallypresentacasestudy