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Microbial evolutionary strategies in a dynamic ocean.
Walworth, Nathan G; Zakem, Emily J; Dunne, John P; Collins, Sinéad; Levine, Naomi M.
Afiliación
  • Walworth NG; Department of Biological Sciences, University of Southern California, Los Angeles, CA 91011.
  • Zakem EJ; Department of Biological Sciences, University of Southern California, Los Angeles, CA 91011.
  • Dunne JP; Geophysical Fluid Dynamics Laboratory, National Oceanic and Atmospheric Administration, Princeton, NJ 08540.
  • Collins S; Institute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3FL, United Kingdom.
  • Levine NM; Department of Biological Sciences, University of Southern California, Los Angeles, CA 91011; n.levine@usc.edu.
Proc Natl Acad Sci U S A ; 117(11): 5943-5948, 2020 03 17.
Article en En | MEDLINE | ID: mdl-32123112
ABSTRACT
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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Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Agua de Mar / Océanos y Mares / Adaptación Biológica / Evolución Biológica Tipo de estudio: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2020 Tipo del documento: Article

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Agua de Mar / Océanos y Mares / Adaptación Biológica / Evolución Biológica Tipo de estudio: Prognostic_studies Idioma: En Revista: Proc Natl Acad Sci U S A Año: 2020 Tipo del documento: Article
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