Evidence map›Paper›PMID 20923976›Full record

ArticleGenetics2010

The rate of fitness-valley crossing in sexual populations.

Daniel B Weissman, Marcus W Feldman, Daniel S Fisher

Abstract read
In one paragraph

Article in Genetics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 52 papers.

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0cells of the map it votes in
52citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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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

52 citing papers in PubMed.

  1. Article
  2. Review
  3. Evolutionary dynamics under phenotypic uncertainty.bioRxiv : the preprint server for biology · 2026
    Article
  4. Review
  5. Article
  6. Game changing mutation.Royal Society open science · 2025
    Article
  7. Article
  8. Article
  9. Article
  10. Linkage equilibrium between rare mutations.bioRxiv : the preprint server for biology · 2024
    Article
  11. Article
  12. Article
  13. Article
  14. Mutation pressure, drift, and the pace of molecular coevolution.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  15. Impact of population size on early adaptation in rugged fitness landscapes.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. Article
4 · The record

Corrections and comments

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5 · Who and what money

Authors and funding

3 authors.

Daniel B WeissmanInstitute of Science and Technology Austria, Klosterneuburg, Austria. dbw@ist.ac.at
Marcus W Feldman
Daniel S Fisher

Funding

POPULATION GENETICS THEORYR01GM028016 · NIGMS · STANFORD UNIVERSITY · PI FELDMAN, MARCUS W · 1985 to 2010
$2.5M
European Research Council 250152NIGMS NIH HHS GM 28016NIGMS NIH HHS R01 GM028016
6 · The paper itself

Abstract

Biological traits result in part from interactions between different genetic loci. This can lead to sign epistasis, in which a beneficial adaptation involves a combination of individually deleterious or neutral mutations; in this case, a population must cross a "fitness valley" to adapt. Recombination can assist this process by combining mutations from different individuals or retard it by breaking up the adaptive combination. Here, we analyze the simplest fitness valley, in which an adaptation requires one mutation at each of two loci to provide a fitness benefit. We present a theoretical analysis of the effect of recombination on the valley-crossing process across the full spectrum of possible parameter regimes. We find that low recombination rates can speed up valley crossing relative to the asexual case, while higher recombination rates slow down valley crossing, with the transition between the two regimes occurring when the recombination rate between the loci is approximately equal to the selective advantage provided by the adaptation. In large populations, if the recombination rate is high and selection against single mutants is substantial, the time to cross the valley grows exponentially with population size, effectively meaning that the population cannot acquire the adaptation. Recombination at the optimal (low) rate can reduce the valley-crossing time by up to several orders of magnitude relative to that in an asexual population.

Indexed as

Epistasis, GeneticGenetic FitnessGenetic LociModels, GeneticMutationAdaptation, PhysiologicalGenetics, PopulationKineticsRecombination, GeneticSexual Behavior

Identifiers

PMID20923976
PMCPMC2998319

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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.