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Phage-bacteria dynamics during the first years of life revealed by trans-kingdom marker gene analysis

Humans are colonized with commensal bacteria soon after birth, and, while this colonization is affected by lifestyle and other factors, bacterial colonization proceeds through well-studied phases. However, less is known about phage communities in early human development due to small study sizes, ina...

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Autores principales: Tisza, Michael, Lloyd, Richard, Hoffman, Kristi, Smith, Daniel, Rewers, Marian, Cregeen, Sara Javornik, Petrosino, Joseph F.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2023
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557657/
https://www.ncbi.nlm.nih.gov/pubmed/37808738
http://dx.doi.org/10.1101/2023.09.28.559994
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author Tisza, Michael
Lloyd, Richard
Hoffman, Kristi
Smith, Daniel
Rewers, Marian
Cregeen, Sara Javornik
Petrosino, Joseph F.
author_facet Tisza, Michael
Lloyd, Richard
Hoffman, Kristi
Smith, Daniel
Rewers, Marian
Cregeen, Sara Javornik
Petrosino, Joseph F.
author_sort Tisza, Michael
collection PubMed
description Humans are colonized with commensal bacteria soon after birth, and, while this colonization is affected by lifestyle and other factors, bacterial colonization proceeds through well-studied phases. However, less is known about phage communities in early human development due to small study sizes, inability to leverage large databases, and lack of appropriate bioinformatics tools. In this study, whole genome shotgun sequencing data from the TEDDY study, composed of 12,262 longitudinal samples from 887 children in 4 countries, is reanalyzed to assess phage and bacterial dynamics simultaneously. Reads from these samples were mapped to marker genes from both bacteria and a new database of tens of thousands of phage taxa from human microbiomes. We uncover that each child is colonized by hundreds of different phages during the early years, and phages are more transitory than bacteria. Participants’ samples continually harbor new phage species over time whereas the diversification of bacterial species begins to saturate. Phage data improves the ability for machine learning models to discriminate samples by country. Finally, while phage populations were individual-specific, striking patterns arose from the larger dataset, showing clear trends of ecological succession amongst phages, which correlated well with putative host bacteria. Improved understanding of phage-bacterial relationships may reveal new means by which to shape and modulate the microbiome and its constituents to improve health and reduce disease, particularly in vulnerable populations where antibiotic use and/or other more drastic measures may not be advised.
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spelling pubmed-105576572023-10-07 Phage-bacteria dynamics during the first years of life revealed by trans-kingdom marker gene analysis Tisza, Michael Lloyd, Richard Hoffman, Kristi Smith, Daniel Rewers, Marian Cregeen, Sara Javornik Petrosino, Joseph F. bioRxiv Article Humans are colonized with commensal bacteria soon after birth, and, while this colonization is affected by lifestyle and other factors, bacterial colonization proceeds through well-studied phases. However, less is known about phage communities in early human development due to small study sizes, inability to leverage large databases, and lack of appropriate bioinformatics tools. In this study, whole genome shotgun sequencing data from the TEDDY study, composed of 12,262 longitudinal samples from 887 children in 4 countries, is reanalyzed to assess phage and bacterial dynamics simultaneously. Reads from these samples were mapped to marker genes from both bacteria and a new database of tens of thousands of phage taxa from human microbiomes. We uncover that each child is colonized by hundreds of different phages during the early years, and phages are more transitory than bacteria. Participants’ samples continually harbor new phage species over time whereas the diversification of bacterial species begins to saturate. Phage data improves the ability for machine learning models to discriminate samples by country. Finally, while phage populations were individual-specific, striking patterns arose from the larger dataset, showing clear trends of ecological succession amongst phages, which correlated well with putative host bacteria. Improved understanding of phage-bacterial relationships may reveal new means by which to shape and modulate the microbiome and its constituents to improve health and reduce disease, particularly in vulnerable populations where antibiotic use and/or other more drastic measures may not be advised. Cold Spring Harbor Laboratory 2023-09-29 /pmc/articles/PMC10557657/ /pubmed/37808738 http://dx.doi.org/10.1101/2023.09.28.559994 Text en https://creativecommons.org/licenses/by-nd/4.0/This work is licensed under a Creative Commons Attribution-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, and only so long as attribution is given to the creator. The license allows for commercial use.
spellingShingle Article
Tisza, Michael
Lloyd, Richard
Hoffman, Kristi
Smith, Daniel
Rewers, Marian
Cregeen, Sara Javornik
Petrosino, Joseph F.
Phage-bacteria dynamics during the first years of life revealed by trans-kingdom marker gene analysis
title Phage-bacteria dynamics during the first years of life revealed by trans-kingdom marker gene analysis
title_full Phage-bacteria dynamics during the first years of life revealed by trans-kingdom marker gene analysis
title_fullStr Phage-bacteria dynamics during the first years of life revealed by trans-kingdom marker gene analysis
title_full_unstemmed Phage-bacteria dynamics during the first years of life revealed by trans-kingdom marker gene analysis
title_short Phage-bacteria dynamics during the first years of life revealed by trans-kingdom marker gene analysis
title_sort phage-bacteria dynamics during the first years of life revealed by trans-kingdom marker gene analysis
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10557657/
https://www.ncbi.nlm.nih.gov/pubmed/37808738
http://dx.doi.org/10.1101/2023.09.28.559994
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