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Genome-wide selective sweeps and gene-specific sweeps in natural bacterial populations

Multiple models describe the formation and evolution of distinct microbial phylogenetic groups. These evolutionary models make different predictions regarding how adaptive alleles spread through populations and how genetic diversity is maintained. Processes predicted by competing evolutionary models...

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Autores principales: Bendall, Matthew L, Stevens, Sarah LR, Chan, Leong-Keat, Malfatti, Stephanie, Schwientek, Patrick, Tremblay, Julien, Schackwitz, Wendy, Martin, Joel, Pati, Amrita, Bushnell, Brian, Froula, Jeff, Kang, Dongwan, Tringe, Susannah G, Bertilsson, Stefan, Moran, Mary A, Shade, Ashley, Newton, Ryan J, McMahon, Katherine D, Malmstrom, Rex R
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4918448/
https://www.ncbi.nlm.nih.gov/pubmed/26744812
http://dx.doi.org/10.1038/ismej.2015.241
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author Bendall, Matthew L
Stevens, Sarah LR
Chan, Leong-Keat
Malfatti, Stephanie
Schwientek, Patrick
Tremblay, Julien
Schackwitz, Wendy
Martin, Joel
Pati, Amrita
Bushnell, Brian
Froula, Jeff
Kang, Dongwan
Tringe, Susannah G
Bertilsson, Stefan
Moran, Mary A
Shade, Ashley
Newton, Ryan J
McMahon, Katherine D
Malmstrom, Rex R
author_facet Bendall, Matthew L
Stevens, Sarah LR
Chan, Leong-Keat
Malfatti, Stephanie
Schwientek, Patrick
Tremblay, Julien
Schackwitz, Wendy
Martin, Joel
Pati, Amrita
Bushnell, Brian
Froula, Jeff
Kang, Dongwan
Tringe, Susannah G
Bertilsson, Stefan
Moran, Mary A
Shade, Ashley
Newton, Ryan J
McMahon, Katherine D
Malmstrom, Rex R
author_sort Bendall, Matthew L
collection PubMed
description Multiple models describe the formation and evolution of distinct microbial phylogenetic groups. These evolutionary models make different predictions regarding how adaptive alleles spread through populations and how genetic diversity is maintained. Processes predicted by competing evolutionary models, for example, genome-wide selective sweeps vs gene-specific sweeps, could be captured in natural populations using time-series metagenomics if the approach were applied over a sufficiently long time frame. Direct observations of either process would help resolve how distinct microbial groups evolve. Here, from a 9-year metagenomic study of a freshwater lake (2005–2013), we explore changes in single-nucleotide polymorphism (SNP) frequencies and patterns of gene gain and loss in 30 bacterial populations. SNP analyses revealed substantial genetic heterogeneity within these populations, although the degree of heterogeneity varied by >1000-fold among populations. SNP allele frequencies also changed dramatically over time within some populations. Interestingly, nearly all SNP variants were slowly purged over several years from one population of green sulfur bacteria, while at the same time multiple genes either swept through or were lost from this population. These patterns were consistent with a genome-wide selective sweep in progress, a process predicted by the ‘ecotype model' of speciation but not previously observed in nature. In contrast, other populations contained large, SNP-free genomic regions that appear to have swept independently through the populations prior to the study without purging diversity elsewhere in the genome. Evidence for both genome-wide and gene-specific sweeps suggests that different models of bacterial speciation may apply to different populations coexisting in the same environment.
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spelling pubmed-49184482016-07-13 Genome-wide selective sweeps and gene-specific sweeps in natural bacterial populations Bendall, Matthew L Stevens, Sarah LR Chan, Leong-Keat Malfatti, Stephanie Schwientek, Patrick Tremblay, Julien Schackwitz, Wendy Martin, Joel Pati, Amrita Bushnell, Brian Froula, Jeff Kang, Dongwan Tringe, Susannah G Bertilsson, Stefan Moran, Mary A Shade, Ashley Newton, Ryan J McMahon, Katherine D Malmstrom, Rex R ISME J Original Article Multiple models describe the formation and evolution of distinct microbial phylogenetic groups. These evolutionary models make different predictions regarding how adaptive alleles spread through populations and how genetic diversity is maintained. Processes predicted by competing evolutionary models, for example, genome-wide selective sweeps vs gene-specific sweeps, could be captured in natural populations using time-series metagenomics if the approach were applied over a sufficiently long time frame. Direct observations of either process would help resolve how distinct microbial groups evolve. Here, from a 9-year metagenomic study of a freshwater lake (2005–2013), we explore changes in single-nucleotide polymorphism (SNP) frequencies and patterns of gene gain and loss in 30 bacterial populations. SNP analyses revealed substantial genetic heterogeneity within these populations, although the degree of heterogeneity varied by >1000-fold among populations. SNP allele frequencies also changed dramatically over time within some populations. Interestingly, nearly all SNP variants were slowly purged over several years from one population of green sulfur bacteria, while at the same time multiple genes either swept through or were lost from this population. These patterns were consistent with a genome-wide selective sweep in progress, a process predicted by the ‘ecotype model' of speciation but not previously observed in nature. In contrast, other populations contained large, SNP-free genomic regions that appear to have swept independently through the populations prior to the study without purging diversity elsewhere in the genome. Evidence for both genome-wide and gene-specific sweeps suggests that different models of bacterial speciation may apply to different populations coexisting in the same environment. Nature Publishing Group 2016-07 2016-01-08 /pmc/articles/PMC4918448/ /pubmed/26744812 http://dx.doi.org/10.1038/ismej.2015.241 Text en Copyright © 2016 International Society for Microbial Ecology http://creativecommons.org/licenses/by-nc-sa/4.0/ This work is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. The images or other third party material in this article are included in the article's Creative Commons license, unless indicated otherwise in the credit line; if the material is not included under the Creative Commons license, users will need to obtain permission from the license holder to reproduce the material. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/
spellingShingle Original Article
Bendall, Matthew L
Stevens, Sarah LR
Chan, Leong-Keat
Malfatti, Stephanie
Schwientek, Patrick
Tremblay, Julien
Schackwitz, Wendy
Martin, Joel
Pati, Amrita
Bushnell, Brian
Froula, Jeff
Kang, Dongwan
Tringe, Susannah G
Bertilsson, Stefan
Moran, Mary A
Shade, Ashley
Newton, Ryan J
McMahon, Katherine D
Malmstrom, Rex R
Genome-wide selective sweeps and gene-specific sweeps in natural bacterial populations
title Genome-wide selective sweeps and gene-specific sweeps in natural bacterial populations
title_full Genome-wide selective sweeps and gene-specific sweeps in natural bacterial populations
title_fullStr Genome-wide selective sweeps and gene-specific sweeps in natural bacterial populations
title_full_unstemmed Genome-wide selective sweeps and gene-specific sweeps in natural bacterial populations
title_short Genome-wide selective sweeps and gene-specific sweeps in natural bacterial populations
title_sort genome-wide selective sweeps and gene-specific sweeps in natural bacterial populations
topic Original Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4918448/
https://www.ncbi.nlm.nih.gov/pubmed/26744812
http://dx.doi.org/10.1038/ismej.2015.241
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