Evidence map›Paper›PMID 28213477›Full record

ArticleGenetics2017

Soft Selective Sweeps in Evolutionary Rescue.

Benjamin A Wilson, Pleuni S Pennings, Dmitri A Petrov

Abstract read
In one paragraph

Article in Genetics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers.

0numbers the graph read from it
0cells of the map it votes in
24citing 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

24 citing papers in PubMed.

  1. Fixation Probabilities of Mutant Alleles in an Ecological Context.bioRxiv : the preprint server for biology · 2026
    Article
  2. Article
  3. Article
  4. Evolutionary rescue on genotypic fitness landscapes.Journal of the Royal Society, Interface · 2023
    Article
  5. Standing genetic variation fuels rapid evolution of herbicide resistance in blackgrass.Proceedings of the National Academy of Sciences of the United States of America · 2023
    Article
  6. Article
  7. Article
  8. Genetic surveillance for monitoring the impact of drug use on Plasmodium falciparum populations.International journal for parasitology. Drugs and drug resistance · 2021
    Review
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Article
  16. Article
  17. Article
  18. Article
  19. Article
  20. 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

3 authors.

Benjamin A WilsonDepartment of Biology, Stanford University, California 94305 bawilson@alumni.stanford.edu.ORCID 0000-0002-3992-2876
Pleuni S PenningsDepartment of Biology, San Francisco State University, California 94132.ORCID 0000-0001-8704-6578
Dmitri A PetrovDepartment of Biology, Stanford University, California 94305.ORCID 0000-0002-3664-9130

Funding

INSTITUTIONAL TRAINING GRANT IN GENOME SCIENCET32HG000044 · NHGRI · STANFORD UNIVERSITY · PI MICHAEL P. SNYDER · 1995 to 2026
$32.2M
Genomics of rapid adaptation in the lab and in the wildR35GM118165 · NIGMS · STANFORD UNIVERSITY · PI Dmitri Petrov · 2016 to 2026
$8.3M
NHGRI NIH HHS T32 HG000044NIGMS NIH HHS R35 GM118165
6 · The paper itself

Abstract

Evolutionary rescue occurs when a population that is declining in size because of an environmental change is rescued from extinction by genetic adaptation. Evolutionary rescue is an important phenomenon at the intersection of ecology and population genetics, and the study of evolutionary rescue is critical to understanding processes ranging from species conservation to the evolution of drug and pesticide resistance. While most population-genetic models of evolutionary rescue focus on estimating the probability of rescue, we focus on whether one or more adaptive lineages contribute to evolutionary rescue. We find that when evolutionary rescue is likely, it is often driven by soft selective sweeps where multiple adaptive mutations spread through the population simultaneously. We give full analytic results for the probability of evolutionary rescue and the probability that evolutionary rescue occurs via soft selective sweeps. We expect that these results will find utility in understanding the genetic signatures associated with various evolutionary rescue scenarios in large populations, such as the evolution of drug resistance in viral, bacterial, or eukaryotic pathogens.

Indexed as

Evolution, MolecularModels, GeneticSelection, GeneticAdaptation, PhysiologicalGenetic FitnessMutationadaptationextinctiongenetic diversitypopulation densityresistance evolution

Identifiers

PMID28213477
PMCPMC5378114

What OpenQuestion holds

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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.