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Microbial evolutionary strategies in a dynamic ocean

Marine microbes form the base of ocean food webs and drive ocean biogeochemical cycling. Yet little is known about the ability of microbial populations to adapt as they are advected through changing conditions. Here, we investigated the interplay between physical and biological timescales using a mo...

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Autores principales: Walworth, Nathan G., Zakem, Emily J., Dunne, John P., Collins, Sinéad, Levine, Naomi M.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: National Academy of Sciences 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7084144/
https://www.ncbi.nlm.nih.gov/pubmed/32123112
http://dx.doi.org/10.1073/pnas.1919332117
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author Walworth, Nathan G.
Zakem, Emily J.
Dunne, John P.
Collins, Sinéad
Levine, Naomi M.
author_facet Walworth, Nathan G.
Zakem, Emily J.
Dunne, John P.
Collins, Sinéad
Levine, Naomi M.
author_sort Walworth, Nathan G.
collection PubMed
description Marine microbes form the base of ocean food webs and drive ocean biogeochemical cycling. Yet little is known about the ability of microbial populations to adapt as they are advected through changing conditions. Here, we investigated the interplay between physical and biological timescales using a model of adaptation and an eddy-resolving ocean circulation climate model. Two criteria were identified that relate the timing and nature of adaptation to the ratio of physical to biological timescales. Genetic adaptation was impeded in highly variable regimes by nongenetic modifications but was promoted in more stable environments. An evolutionary trade-off emerged where greater short-term nongenetic transgenerational effects (low-γ strategy) enabled rapid responses to environmental fluctuations but delayed genetic adaptation, while fewer short-term transgenerational effects (high-γ strategy) allowed faster genetic adaptation but inhibited short-term responses. Our results demonstrate that the selective pressures for organisms within a single water mass vary based on differences in generation timescales resulting in different evolutionary strategies being favored. Organisms that experience more variable environments should favor a low-γ strategy. Furthermore, faster cell division rates should be a key factor in genetic adaptation in a changing ocean. Understanding and quantifying the relationship between evolutionary and physical timescales is critical for robust predictions of future microbial dynamics.
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spelling pubmed-70841442020-03-24 Microbial evolutionary strategies in a dynamic ocean Walworth, Nathan G. Zakem, Emily J. Dunne, John P. Collins, Sinéad Levine, Naomi M. Proc Natl Acad Sci U S A Biological Sciences Marine microbes form the base of ocean food webs and drive ocean biogeochemical cycling. Yet little is known about the ability of microbial populations to adapt as they are advected through changing conditions. Here, we investigated the interplay between physical and biological timescales using a model of adaptation and an eddy-resolving ocean circulation climate model. Two criteria were identified that relate the timing and nature of adaptation to the ratio of physical to biological timescales. Genetic adaptation was impeded in highly variable regimes by nongenetic modifications but was promoted in more stable environments. An evolutionary trade-off emerged where greater short-term nongenetic transgenerational effects (low-γ strategy) enabled rapid responses to environmental fluctuations but delayed genetic adaptation, while fewer short-term transgenerational effects (high-γ strategy) allowed faster genetic adaptation but inhibited short-term responses. Our results demonstrate that the selective pressures for organisms within a single water mass vary based on differences in generation timescales resulting in different evolutionary strategies being favored. Organisms that experience more variable environments should favor a low-γ strategy. Furthermore, faster cell division rates should be a key factor in genetic adaptation in a changing ocean. Understanding and quantifying the relationship between evolutionary and physical timescales is critical for robust predictions of future microbial dynamics. National Academy of Sciences 2020-03-17 2020-03-02 /pmc/articles/PMC7084144/ /pubmed/32123112 http://dx.doi.org/10.1073/pnas.1919332117 Text en Copyright © 2020 the Author(s). Published by PNAS. https://creativecommons.org/licenses/by-nc-nd/4.0/ https://creativecommons.org/licenses/by-nc-nd/4.0/This open access article is distributed under Creative Commons Attribution-NonCommercial-NoDerivatives License 4.0 (CC BY-NC-ND) (https://creativecommons.org/licenses/by-nc-nd/4.0/) .
spellingShingle Biological Sciences
Walworth, Nathan G.
Zakem, Emily J.
Dunne, John P.
Collins, Sinéad
Levine, Naomi M.
Microbial evolutionary strategies in a dynamic ocean
title Microbial evolutionary strategies in a dynamic ocean
title_full Microbial evolutionary strategies in a dynamic ocean
title_fullStr Microbial evolutionary strategies in a dynamic ocean
title_full_unstemmed Microbial evolutionary strategies in a dynamic ocean
title_short Microbial evolutionary strategies in a dynamic ocean
title_sort microbial evolutionary strategies in a dynamic ocean
topic Biological Sciences
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7084144/
https://www.ncbi.nlm.nih.gov/pubmed/32123112
http://dx.doi.org/10.1073/pnas.1919332117
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