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MetaPop: a pipeline for macro- and microdiversity analyses and visualization of microbial and viral metagenome-derived populations
BACKGROUND: Microbes and their viruses are hidden engines driving Earth’s ecosystems from the oceans and soils to humans and bioreactors. Though gene marker approaches can now be complemented by genome-resolved studies of inter-(macrodiversity) and intra-(microdiversity) population variation, analyt...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922842/ https://www.ncbi.nlm.nih.gov/pubmed/35287721 http://dx.doi.org/10.1186/s40168-022-01231-0 |
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author | Gregory, Ann C. Gerhardt, Kenji Zhong, Zhi-Ping Bolduc, Benjamin Temperton, Ben Konstantinidis, Konstantinos T. Sullivan, Matthew B. |
author_facet | Gregory, Ann C. Gerhardt, Kenji Zhong, Zhi-Ping Bolduc, Benjamin Temperton, Ben Konstantinidis, Konstantinos T. Sullivan, Matthew B. |
author_sort | Gregory, Ann C. |
collection | PubMed |
description | BACKGROUND: Microbes and their viruses are hidden engines driving Earth’s ecosystems from the oceans and soils to humans and bioreactors. Though gene marker approaches can now be complemented by genome-resolved studies of inter-(macrodiversity) and intra-(microdiversity) population variation, analytical tools to do so remain scattered or under-developed. RESULTS: Here, we introduce MetaPop, an open-source bioinformatic pipeline that provides a single interface to analyze and visualize microbial and viral community metagenomes at both the macro- and microdiversity levels. Macrodiversity estimates include population abundances and α- and β-diversity. Microdiversity calculations include identification of single nucleotide polymorphisms, novel codon-constrained linkage of SNPs, nucleotide diversity (π and θ), and selective pressures (pN/pS and Tajima’s D) within and fixation indices (F(ST)) between populations. MetaPop will also identify genes with distinct codon usage. Following rigorous validation, we applied MetaPop to the gut viromes of autistic children that underwent fecal microbiota transfers and their neurotypical peers. The macrodiversity results confirmed our prior findings for viral populations (microbial shotgun metagenomes were not available) that diversity did not significantly differ between autistic and neurotypical children. However, by also quantifying microdiversity, MetaPop revealed lower average viral nucleotide diversity (π) in autistic children. Analysis of the percentage of genomes detected under positive selection was also lower among autistic children, suggesting that higher viral π in neurotypical children may be beneficial because it allows populations to better “bet hedge” in changing environments. Further, comparisons of microdiversity pre- and post-FMT in autistic children revealed that the delivery FMT method (oral versus rectal) may influence viral activity and engraftment of microdiverse viral populations, with children who received their FMT rectally having higher microdiversity post-FMT. Overall, these results show that analyses at the macro level alone can miss important biological differences. CONCLUSIONS: These findings suggest that standardized population and genetic variation analyses will be invaluable for maximizing biological inference, and MetaPop provides a convenient tool package to explore the dual impact of macro- and microdiversity across microbial communities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-022-01231-0. |
format | Online Article Text |
id | pubmed-8922842 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-89228422022-03-22 MetaPop: a pipeline for macro- and microdiversity analyses and visualization of microbial and viral metagenome-derived populations Gregory, Ann C. Gerhardt, Kenji Zhong, Zhi-Ping Bolduc, Benjamin Temperton, Ben Konstantinidis, Konstantinos T. Sullivan, Matthew B. Microbiome Software Article BACKGROUND: Microbes and their viruses are hidden engines driving Earth’s ecosystems from the oceans and soils to humans and bioreactors. Though gene marker approaches can now be complemented by genome-resolved studies of inter-(macrodiversity) and intra-(microdiversity) population variation, analytical tools to do so remain scattered or under-developed. RESULTS: Here, we introduce MetaPop, an open-source bioinformatic pipeline that provides a single interface to analyze and visualize microbial and viral community metagenomes at both the macro- and microdiversity levels. Macrodiversity estimates include population abundances and α- and β-diversity. Microdiversity calculations include identification of single nucleotide polymorphisms, novel codon-constrained linkage of SNPs, nucleotide diversity (π and θ), and selective pressures (pN/pS and Tajima’s D) within and fixation indices (F(ST)) between populations. MetaPop will also identify genes with distinct codon usage. Following rigorous validation, we applied MetaPop to the gut viromes of autistic children that underwent fecal microbiota transfers and their neurotypical peers. The macrodiversity results confirmed our prior findings for viral populations (microbial shotgun metagenomes were not available) that diversity did not significantly differ between autistic and neurotypical children. However, by also quantifying microdiversity, MetaPop revealed lower average viral nucleotide diversity (π) in autistic children. Analysis of the percentage of genomes detected under positive selection was also lower among autistic children, suggesting that higher viral π in neurotypical children may be beneficial because it allows populations to better “bet hedge” in changing environments. Further, comparisons of microdiversity pre- and post-FMT in autistic children revealed that the delivery FMT method (oral versus rectal) may influence viral activity and engraftment of microdiverse viral populations, with children who received their FMT rectally having higher microdiversity post-FMT. Overall, these results show that analyses at the macro level alone can miss important biological differences. CONCLUSIONS: These findings suggest that standardized population and genetic variation analyses will be invaluable for maximizing biological inference, and MetaPop provides a convenient tool package to explore the dual impact of macro- and microdiversity across microbial communities. SUPPLEMENTARY INFORMATION: The online version contains supplementary material available at 10.1186/s40168-022-01231-0. BioMed Central 2022-03-15 /pmc/articles/PMC8922842/ /pubmed/35287721 http://dx.doi.org/10.1186/s40168-022-01231-0 Text en © The Author(s) 2022 https://creativecommons.org/licenses/by/4.0/Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/ (https://creativecommons.org/publicdomain/zero/1.0/) ) applies to the data made available in this article, unless otherwise stated in a credit line to the data. |
spellingShingle | Software Article Gregory, Ann C. Gerhardt, Kenji Zhong, Zhi-Ping Bolduc, Benjamin Temperton, Ben Konstantinidis, Konstantinos T. Sullivan, Matthew B. MetaPop: a pipeline for macro- and microdiversity analyses and visualization of microbial and viral metagenome-derived populations |
title | MetaPop: a pipeline for macro- and microdiversity analyses and visualization of microbial and viral metagenome-derived populations |
title_full | MetaPop: a pipeline for macro- and microdiversity analyses and visualization of microbial and viral metagenome-derived populations |
title_fullStr | MetaPop: a pipeline for macro- and microdiversity analyses and visualization of microbial and viral metagenome-derived populations |
title_full_unstemmed | MetaPop: a pipeline for macro- and microdiversity analyses and visualization of microbial and viral metagenome-derived populations |
title_short | MetaPop: a pipeline for macro- and microdiversity analyses and visualization of microbial and viral metagenome-derived populations |
title_sort | metapop: a pipeline for macro- and microdiversity analyses and visualization of microbial and viral metagenome-derived populations |
topic | Software Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8922842/ https://www.ncbi.nlm.nih.gov/pubmed/35287721 http://dx.doi.org/10.1186/s40168-022-01231-0 |
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