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Reversions mask the contribution of adaptive evolution in microbiomes
When examining bacterial genomes for evidence of past selection, the results obtained depend heavily on the mutational distance between chosen genomes. Even within a bacterial species, genomes separated by larger mutational distances exhibit stronger evidence of purifying selection as assessed by [F...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Cold Spring Harbor Laboratory
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515931/ https://www.ncbi.nlm.nih.gov/pubmed/37745437 http://dx.doi.org/10.1101/2023.09.14.557751 |
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author | Torrillo, Paul A. Lieberman, Tami D. |
author_facet | Torrillo, Paul A. Lieberman, Tami D. |
author_sort | Torrillo, Paul A. |
collection | PubMed |
description | When examining bacterial genomes for evidence of past selection, the results obtained depend heavily on the mutational distance between chosen genomes. Even within a bacterial species, genomes separated by larger mutational distances exhibit stronger evidence of purifying selection as assessed by [Formula: see text] , the normalized ratio of nonsynonymous to synonymous mutations. This dependence on mutational distance, and thus time, has been proposed to arise from the inefficiency of purifying selection at removing weakly deleterious mutations. Here, we revisit this assumption in light of abundant genomes from gut microbiomes and show that a model of weak purifying selection that fits the data leads to problematic mutation accumulation. We propose an alternative model to explain the timescale dependence of [Formula: see text] , in which constantly changing environmental pressures select for revertants of previously adaptive mutations. Reversions that sweep within-host populations are nearly guaranteed in microbiomes due to large population sizes, short generation times, and variable environments. Using analytical and simulation approaches, we fit the adaptive reversion model to [Formula: see text] decay curves and obtain estimates of local adaptation that are realistic in the context of bacterial genomes. These results argue for interpreting low values of [Formula: see text] with caution, as they may emerge even when adaptive sweeps are frequent. This work reframes an old observation in bacterial evolution, illustrates the potential of mutation reversions to shape genomic landscapes over time, and highlights the need for additional research on bacterial genomic evolution on short time scales. |
format | Online Article Text |
id | pubmed-10515931 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Cold Spring Harbor Laboratory |
record_format | MEDLINE/PubMed |
spelling | pubmed-105159312023-09-23 Reversions mask the contribution of adaptive evolution in microbiomes Torrillo, Paul A. Lieberman, Tami D. bioRxiv Article When examining bacterial genomes for evidence of past selection, the results obtained depend heavily on the mutational distance between chosen genomes. Even within a bacterial species, genomes separated by larger mutational distances exhibit stronger evidence of purifying selection as assessed by [Formula: see text] , the normalized ratio of nonsynonymous to synonymous mutations. This dependence on mutational distance, and thus time, has been proposed to arise from the inefficiency of purifying selection at removing weakly deleterious mutations. Here, we revisit this assumption in light of abundant genomes from gut microbiomes and show that a model of weak purifying selection that fits the data leads to problematic mutation accumulation. We propose an alternative model to explain the timescale dependence of [Formula: see text] , in which constantly changing environmental pressures select for revertants of previously adaptive mutations. Reversions that sweep within-host populations are nearly guaranteed in microbiomes due to large population sizes, short generation times, and variable environments. Using analytical and simulation approaches, we fit the adaptive reversion model to [Formula: see text] decay curves and obtain estimates of local adaptation that are realistic in the context of bacterial genomes. These results argue for interpreting low values of [Formula: see text] with caution, as they may emerge even when adaptive sweeps are frequent. This work reframes an old observation in bacterial evolution, illustrates the potential of mutation reversions to shape genomic landscapes over time, and highlights the need for additional research on bacterial genomic evolution on short time scales. Cold Spring Harbor Laboratory 2023-09-17 /pmc/articles/PMC10515931/ /pubmed/37745437 http://dx.doi.org/10.1101/2023.09.14.557751 Text en https://creativecommons.org/licenses/by-nc/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License (https://creativecommons.org/licenses/by-nc/4.0/) , which allows reusers to distribute, remix, adapt, and build upon the material in any medium or format for noncommercial purposes only, and only so long as attribution is given to the creator. |
spellingShingle | Article Torrillo, Paul A. Lieberman, Tami D. Reversions mask the contribution of adaptive evolution in microbiomes |
title | Reversions mask the contribution of adaptive evolution in microbiomes |
title_full | Reversions mask the contribution of adaptive evolution in microbiomes |
title_fullStr | Reversions mask the contribution of adaptive evolution in microbiomes |
title_full_unstemmed | Reversions mask the contribution of adaptive evolution in microbiomes |
title_short | Reversions mask the contribution of adaptive evolution in microbiomes |
title_sort | reversions mask the contribution of adaptive evolution in microbiomes |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10515931/ https://www.ncbi.nlm.nih.gov/pubmed/37745437 http://dx.doi.org/10.1101/2023.09.14.557751 |
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