Evidence map›Paper›PMID 32123112›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2020

Microbial evolutionary strategies in a dynamic ocean.

Nathan G Walworth, Emily J Zakem, John P Dunne, Sinéad Collins, Naomi M Levine

Open access · hybridAbstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 papers.

0numbers the graph read from it
0cells of the map it votes in
17citing papers in PubMed
5.6field-weighted citation impact, top 4% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

17 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
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  5. Biofilm formation stabilizes metabolism in aApplied and environmental microbiology · 2023
    Article
  6. Net effect of environmental fluctuations in multiple global-change drivers across the tree of life.Proceedings of the National Academy of Sciences of the United States of America · 2022
    Article
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4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

5 authors at 3 institutions in 2 countries.

Nathan G WalworthDepartment of Biological Sciences, University of Southern California, Los Angeles, CA 91011.ORCID 0000-0002-7408-9461
Emily J ZakemDepartment of Biological Sciences, University of Southern California, Los Angeles, CA 91011.
John P DunneGeophysical Fluid Dynamics Laboratory, National Oceanic and Atmospheric Administration, Princeton, NJ 08540.ORCID 0000-0002-8794-0489
Sinéad CollinsInstitute of Evolutionary Biology, University of Edinburgh, Edinburgh EH9 3FL, United Kingdom.ORCID 0000-0003-3856-4285
Naomi M LevineDepartment of Biological Sciences, University of Southern California, Los Angeles, CA 91011; n.levine@usc.edu.ORCID 0000-0002-4963-0535
University of Southern California · USNational Oceanic and Atmospheric Administration · USUniversity of Edinburgh · GB

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

Adaptation, BiologicalBiological EvolutionOceans and SeasAnticipation, GeneticClimateComputer SimulationEnvironmentGenetic VariationMarine BiologySeawateradaptation timescalesadvectionevolutionfluctuating environmentmarine microbes

Identifiers

PMID32123112
PMCPMC7084144
OpenAlexW3009867034

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.