Evidence map›Paper›PMID 37622091›Full record

ArticleEvolutionary applications2023

Population demographic history and evolutionary rescue: Influence of a bottleneck event.

Laure Olazcuaga, Beatrice Lincke, Sarah DeLacey, Lily F Durkee, Brett A Melbourne, Ruth A Hufbauer

Abstract read
In one paragraph

Article in Evolutionary applications, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.

0numbers the graph read from it
0cells of the map it votes in
16citing 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

16 citing papers in PubMed.

  1. Article
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  6. Review
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  11. Founders predict trait evolution and population performance after evolutionary rescue in the red flour beetle.Proceedings of the National Academy of Sciences of the United States of America · 2025
    Article
  12. Article
  13. Impacts of limits to adaptation on population and community persistence in a changing environment.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  14. Evolution fails to rescue a population in an increasingly variable environment.Proceedings of the National Academy of Sciences of the United States of America · 2024
    Article
  15. Article
  16. 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

6 authors.

Laure OlazcuagaDepartment of Agricultural Biology Colorado State University Fort Collins Colorado USA.ORCID https://orcid.org/0000-0001-9100-1305
Beatrice LinckeDepartment of Agricultural Biology Colorado State University Fort Collins Colorado USA.
Sarah DeLaceyDepartment of Agricultural Biology Colorado State University Fort Collins Colorado USA.
Lily F DurkeeDepartment of Agricultural Biology Colorado State University Fort Collins Colorado USA.ORCID https://orcid.org/0000-0002-7328-0256
Brett A MelbourneDepartment of Ecology & Evolutionary Biology University of Colorado Boulder Colorado USA.ORCID https://orcid.org/0000-0002-8843-4131
Ruth A HufbauerDepartment of Agricultural Biology Colorado State University Fort Collins Colorado USA.ORCID https://orcid.org/0000-0002-8270-0638

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Rapid environmental change presents a significant challenge to the persistence of natural populations. Rapid adaptation that increases population growth, enabling populations that declined following severe environmental change to grow and avoid extinction, is called evolutionary rescue. Numerous studies have shown that evolutionary rescue can indeed prevent extinction. Here, we extend those results by considering the demographic history of populations. To evaluate how demographic history influences evolutionary rescue, we created 80 populations of red flour beetle,

Indexed as

adaptationextinctiongenetic variationheterozygosityinbreeding depressionTribolium castaneum

Identifiers

PMID37622091
PMCPMC10445088

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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.