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Quantifying the local adaptive landscape of a nascent bacterial community
The fitness effects of all possible mutations available to an organism largely shape the dynamics of evolutionary adaptation. Yet, whether and how this adaptive landscape changes over evolutionary times, especially upon ecological diversification and changes in community composition, remains poorly...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Nature Publishing Group UK
2023
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842643/ https://www.ncbi.nlm.nih.gov/pubmed/36646697 http://dx.doi.org/10.1038/s41467-022-35677-5 |
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author | Ascensao, Joao A. Wetmore, Kelly M. Good, Benjamin H. Arkin, Adam P. Hallatschek, Oskar |
author_facet | Ascensao, Joao A. Wetmore, Kelly M. Good, Benjamin H. Arkin, Adam P. Hallatschek, Oskar |
author_sort | Ascensao, Joao A. |
collection | PubMed |
description | The fitness effects of all possible mutations available to an organism largely shape the dynamics of evolutionary adaptation. Yet, whether and how this adaptive landscape changes over evolutionary times, especially upon ecological diversification and changes in community composition, remains poorly understood. We sought to fill this gap by analyzing a stable community of two closely related ecotypes (“L” and “S”) shortly after they emerged within the E. coli Long-Term Evolution Experiment (LTEE). We engineered genome-wide barcoded transposon libraries to measure the invasion fitness effects of all possible gene knockouts in the coexisting strains as well as their ancestor, for many different, ecologically relevant conditions. We find consistent statistical patterns of fitness effect variation across both genetic background and community composition, despite the idiosyncratic behavior of individual knockouts. Additionally, fitness effects are correlated with evolutionary outcomes for a number of conditions, possibly revealing shifting patterns of adaptation. Together, our results reveal how ecological and epistatic effects combine to shape the adaptive landscape in a nascent ecological community. |
format | Online Article Text |
id | pubmed-9842643 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2023 |
publisher | Nature Publishing Group UK |
record_format | MEDLINE/PubMed |
spelling | pubmed-98426432023-01-18 Quantifying the local adaptive landscape of a nascent bacterial community Ascensao, Joao A. Wetmore, Kelly M. Good, Benjamin H. Arkin, Adam P. Hallatschek, Oskar Nat Commun Article The fitness effects of all possible mutations available to an organism largely shape the dynamics of evolutionary adaptation. Yet, whether and how this adaptive landscape changes over evolutionary times, especially upon ecological diversification and changes in community composition, remains poorly understood. We sought to fill this gap by analyzing a stable community of two closely related ecotypes (“L” and “S”) shortly after they emerged within the E. coli Long-Term Evolution Experiment (LTEE). We engineered genome-wide barcoded transposon libraries to measure the invasion fitness effects of all possible gene knockouts in the coexisting strains as well as their ancestor, for many different, ecologically relevant conditions. We find consistent statistical patterns of fitness effect variation across both genetic background and community composition, despite the idiosyncratic behavior of individual knockouts. Additionally, fitness effects are correlated with evolutionary outcomes for a number of conditions, possibly revealing shifting patterns of adaptation. Together, our results reveal how ecological and epistatic effects combine to shape the adaptive landscape in a nascent ecological community. Nature Publishing Group UK 2023-01-16 /pmc/articles/PMC9842643/ /pubmed/36646697 http://dx.doi.org/10.1038/s41467-022-35677-5 Text en © The Author(s) 2023 https://creativecommons.org/licenses/by/4.0/Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/ (https://creativecommons.org/licenses/by/4.0/) . |
spellingShingle | Article Ascensao, Joao A. Wetmore, Kelly M. Good, Benjamin H. Arkin, Adam P. Hallatschek, Oskar Quantifying the local adaptive landscape of a nascent bacterial community |
title | Quantifying the local adaptive landscape of a nascent bacterial community |
title_full | Quantifying the local adaptive landscape of a nascent bacterial community |
title_fullStr | Quantifying the local adaptive landscape of a nascent bacterial community |
title_full_unstemmed | Quantifying the local adaptive landscape of a nascent bacterial community |
title_short | Quantifying the local adaptive landscape of a nascent bacterial community |
title_sort | quantifying the local adaptive landscape of a nascent bacterial community |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9842643/ https://www.ncbi.nlm.nih.gov/pubmed/36646697 http://dx.doi.org/10.1038/s41467-022-35677-5 |
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