Evidence map›Paper›PMID 35389471›Full record

ArticleGenetics2022

Population genetics of polymorphism and divergence in rapidly evolving populations.

Matthew J Melissa, Benjamin H Good, Daniel S Fisher, Michael M Desai

Abstract read
In one paragraph

Article in Genetics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.

0numbers the graph read from it
0cells of the map it votes in
14citing 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

14 citing papers in PubMed.

  1. Article
  2. Evolutionary dynamics under phenotypic uncertainty.bioRxiv : the preprint server for biology · 2026
    Article
  3. Article
  4. Article
  5. Ecological diversification in rapidly evolving populations.bioRxiv : the preprint server for biology · 2025
    Article
  6. Article
  7. A Model of Epigenetic Inheritance Accounts for Unexpected Adaptation to Unforeseen Challenges.Advanced science (Weinheim, Baden-Wurttemberg, Germany) · 2025
    Article
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. A dynamical limit to evolutionary adaptation.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  14. A dynamical limit to evolutionary adaptation.bioRxiv : the preprint server for biology · 2023
    Article
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.

Matthew J MelissaDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.ORCID 0000-0002-9391-7314
Benjamin H GoodDepartment of Applied Physics, Stanford University, Stanford, CA 94305, USA.ORCID 0000-0002-7757-3347
Daniel S FisherDepartment of Applied Physics, Stanford University, Stanford, CA 94305, USA.
Michael M DesaiDepartment of Organismic and Evolutionary Biology, Harvard University, Cambridge, MA 02138, USA.ORCID 0000-0002-9581-1150

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 R01 GM104239
6 · The paper itself

Abstract

In rapidly evolving populations, numerous beneficial and deleterious mutations can arise and segregate within a population at the same time. In this regime, evolutionary dynamics cannot be analyzed using traditional population genetic approaches that assume that sites evolve independently. Instead, the dynamics of many loci must be analyzed simultaneously. Recent work has made progress by first analyzing the fitness variation within a population, and then studying how individual lineages interact with this traveling fitness wave. However, these "traveling wave" models have previously been restricted to extreme cases where selection on individual mutations is either much faster or much slower than the typical coalescent timescale Tc. In this work, we show how the traveling wave framework can be extended to intermediate regimes in which the scaled fitness effects of mutations (Tcs) are neither large nor small compared to one. This enables us to describe the dynamics of populations subject to a wide range of fitness effects, and in particular, in cases where it is not immediately clear which mutations are most important in shaping the dynamics and statistics of genetic diversity. We use this approach to derive new expressions for the fixation probabilities and site frequency spectra of mutations as a function of their scaled fitness effects, along with related results for the coalescent timescale Tc and the rate of adaptation or Muller's ratchet. We find that competition between linked mutations can have a dramatic impact on the proportions of neutral and selected polymorphisms, which is not simply summarized by the scaled selection coefficient Tcs. We conclude by discussing the implications of these results for population genetic inferences.

Indexed as

Genetics, PopulationSelection, GeneticAdaptation, PhysiologicalBiological EvolutionModels, GeneticMutationclonal interferenceevolutionary dynamicsfixation probabilitytraveling waves

Identifiers

PMID35389471
PMCPMC9339298

What OpenQuestion holds

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Registered trials

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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.