Evidence map›Paper›PMID 26305937›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2015

Fate of a mutation in a fluctuating environment.

Ivana Cvijović, Benjamin H Good, Elizabeth R Jerison, Michael M Desai

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 84 papers.

0numbers the graph read from it
0cells of the map it votes in
84citing papers in PubMed
–field-weighted citation impact
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

84 citing papers in PubMed.

  1. Article
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  3. Review
  4. Article
  5. Article
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  8. Article
  9. Evolutionary dynamics under phenotypic uncertainty.bioRxiv : the preprint server for biology · 2026
    Article
  10. Deconstructing empirical fitness seascapes across scales of granularity.bioRxiv : the preprint server for biology · 2026
    Article
  11. Review
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Review
  18. Article
  19. Article
  20. Article

24 more citing papers are in PubMed but not listed here.

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

4 authors.

Ivana CvijovićDepartment of Organismic and Evolutionary Biology and Faculty of Arts and Sciences Center for Systems Biology, Harvard University, Cambridge, MA 02138; Department of Systems Biology, Harvard Medical School, Boston, MA 02115;
Benjamin H GoodDepartment of Organismic and Evolutionary Biology and Faculty of Arts and Sciences Center for Systems Biology, Harvard University, Cambridge, MA 02138; Department of Physics, Harvard University, Cambridge, MA 02138.
Elizabeth R JerisonDepartment of Organismic and Evolutionary Biology and Faculty of Arts and Sciences Center for Systems Biology, Harvard University, Cambridge, MA 02138; Department of Physics, Harvard University, Cambridge, MA 02138.
Michael M DesaiDepartment of Organismic and Evolutionary Biology and Faculty of Arts and Sciences Center for Systems Biology, Harvard University, Cambridge, MA 02138; Department of Physics, Harvard University, Cambridge, MA 02138 mdesai@oeb.harvard.edu.

Funding

Microbial Adaptation and the Statistics of Epistasis and PleiotropyR01GM104239 · NIGMS · HARVARD UNIVERSITY · PI DESAI, MICHAEL M · 2013 to 2025
$4.5M
NIGMS NIH HHS GM104239NIGMS NIH HHS R01 GM104239
6 · The paper itself

Abstract

Natural environments are never truly constant, but the evolutionary implications of temporally varying selection pressures remain poorly understood. Here we investigate how the fate of a new mutation in a fluctuating environment depends on the dynamics of environmental variation and on the selective pressures in each condition. We find that even when a mutation experiences many environmental epochs before fixing or going extinct, its fate is not necessarily determined by its time-averaged selective effect. Instead, environmental variability reduces the efficiency of selection across a broad parameter regime, rendering selection unable to distinguish between mutations that are substantially beneficial and substantially deleterious on average. Temporal fluctuations can also dramatically increase fixation probabilities, often making the details of these fluctuations more important than the average selection pressures acting on each new mutation. For example, mutations that result in a trade-off between conditions but are strongly deleterious on average can nevertheless be more likely to fix than mutations that are always neutral or beneficial. These effects can have important implications for patterns of molecular evolution in variable environments, and they suggest that it may often be difficult for populations to maintain specialist traits, even when their loss leads to a decline in time-averaged fitness.

Indexed as

EnvironmentEvolution, MolecularSelection, GeneticAdaptation, PhysiologicalAlgorithmsAnimalsGenetics, PopulationHumansModels, GeneticMutationeffective diffusionfixation probabilityfluctuating environmentpopulation genetics

Identifiers

PMID26305937
PMCPMC4568713

What OpenQuestion holds

Textmetadata
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.