Evidence map›Paper›PMID 25558278›Full record

ReviewEvolutionary applications2014

Evolutionary rescue: linking theory for conservation and medicine.

Helen K Alexander, Guillaume Martin, Oliver Y Martin, Sebastian Bonhoeffer

Abstract readReview
In one paragraph

Review in Evolutionary applications, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 44 papers.

0numbers the graph read from it
0cells of the map it votes in
44citing 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

44 citing papers in PubMed.

  1. Article
  2. Article
  3. "Excluded phenotypes" restrict genetic paths toward adaptation in declining populations.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  4. Article
  5. Article
  6. The speed of vaccination rollout and the risk of pathogen adaptation.Journal of the Royal Society, Interface · 2025
    Article
  7. Article
  8. Article
  9. 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
  10. Article
  11. Article
  12. Evolutionary rescue on genotypic fitness landscapes.Journal of the Royal Society, Interface · 2023
    Article
  13. Article
  14. Stackelberg evolutionary game theory: how to manage evolving systems.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2023
    Review
  15. How does genetic architecture affect eco-evolutionary dynamics? A theoretical perspective.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2022
    Review
  16. Article
  17. Article
  18. Article
  19. Review
  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

4 authors.

Helen K AlexanderInstitute for Integrative Biology, D-USYS, ETH Zürich Zürich, Switzerland.
Guillaume MartinInstitut des Sciences de l'Evolution, UMR 5554, Université Montpellier 2 - CNRS - IRD Montpellier Cedex, France.
Oliver Y MartinInstitute for Integrative Biology, D-USYS, ETH Zürich Zürich, Switzerland.
Sebastian BonhoefferInstitute for Integrative Biology, D-USYS, ETH Zürich Zürich, Switzerland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Evolutionary responses that rescue populations from extinction when drastic environmental changes occur can be friend or foe. The field of conservation biology is concerned with the survival of species in deteriorating global habitats. In medicine, in contrast, infected patients are treated with chemotherapeutic interventions, but drug resistance can compromise eradication of pathogens. These contrasting biological systems and goals have created two quite separate research communities, despite addressing the same central question of whether populations will decline to extinction or be rescued through evolution. We argue that closer integration of the two fields, especially of theoretical understanding, would yield new insights and accelerate progress on these applied problems. Here, we overview and link mathematical modelling approaches in these fields, suggest specific areas with potential for fruitful exchange, and discuss common ideas and issues for empirical testing and prediction.

Indexed as

drug resistanceeco-evolutionary feedbackenvironmental changeexperimental evolutioninfectious diseasemathematical modelspatiotemporal heterogeneitystanding genetic variation

Identifiers

PMID25558278
PMCPMC4275089

What OpenQuestion holds

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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.