Evidence map›Paper›PMID 31417611›Full record

ReviewEvolutionary applications2019

Causes of maladaptation.

Steven P Brady, Daniel I Bolnick, Amy L Angert, Andrew Gonzalez, Rowan D H Barrett, Erika Crispo, Alison M Derry, Christopher G Eckert, Dylan J Fraser, Gregor F Fussmann and 8 more

Abstract readReview
In one paragraph

Review in Evolutionary applications, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 34 papers.

0numbers the graph read from it
0cells of the map it votes in
34citing 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

34 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Article
  8. Article
  9. The evolutionary puzzle of cognition: challenges and insights from individual-based studies.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2025
    Review
  10. Genomic Signatures of Environmental Adaptation inPlants (Basel, Switzerland) · 2025
    Article
  11. Article
  12. Review
  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

18 authors.

Steven P BradyBiology Department Southern Connecticut State University New Haven CT USA.
Daniel I BolnickDepartment of Ecology and Evolutionary Biology University of Connecticut Mansfield CT USA.
Amy L AngertDepartments of Botany and Zoology University of British Columbia Vancouver BC Canada.
Andrew GonzalezDepartment of Biology McGill University Montréal QC Canada.
Rowan D H BarrettDepartment of Biology McGill University Montréal QC Canada.
Erika CrispoDepartment of Biology Pace University New York NY USA.
Alison M DerryQuebec Centre for Biodiversity Science, Stewart Biology McGill University Montréal QC Canada.
Christopher G EckertDepartment of Biology Queen's University Kingston ON Canada.
Dylan J FraserDepartment of Biology Concordia University Montréal QC Canada.
Gregor F FussmannDepartment of Biology McGill University Montréal QC Canada.
Frederic GuichardDepartment of Biology McGill University Montréal QC Canada.
Thomas LamyDépartement de sciences biologiques Université de Montréal Montréal QC Canada.
Andrew G McAdamDepartment of Integrative Biology University of Guelph Guelph ON Canada.
Amy E M NewmanDepartment of Integrative Biology University of Guelph Guelph ON Canada.
Antoine PaccardMcGill University Genome Center Montréal QC Canada.
Gregor RolshausenSenckenberg Biodiversity and Climate Research Centre (SBiK-F) Frankfurt am Main Germany.
Andrew M SimonsDepartment of Biology Carleton University Ottawa ON Canada.
Andrew P HendryDepartment of Biology McGill University Montréal QC Canada.

Funding

Reciprocal genetics of recently-evolved vertebrate immunity and peritoneal helminth counter-adaptationR01AI123659 · NIAID · UNIVERSITY OF TEXAS AT AUSTIN · PI Daniel Imara Bolnick · 2017 to 2026
$3.8M
NIAID NIH HHS R01 AI123659
6 · The paper itself

Abstract

Evolutionary biologists tend to approach the study of the natural world within a framework of adaptation, inspired perhaps by the power of natural selection to produce fitness advantages that drive population persistence and biological diversity. In contrast, evolution has rarely been studied through the lens of adaptation's complement, maladaptation. This contrast is surprising because maladaptation is a prevalent feature of evolution: population trait values are rarely distributed optimally; local populations often have lower fitness than imported ones; populations decline; and local and global extinctions are common. Yet we lack a general framework for understanding maladaptation; for instance in terms of distribution, severity, and dynamics. Similar uncertainties apply to the causes of maladaptation. We suggest that incorporating maladaptation-based perspectives into evolutionary biology would facilitate better understanding of the natural world. Approaches within a maladaptation framework might be especially profitable in applied evolution contexts - where reductions in fitness are common. Toward advancing a more balanced study of evolution, here we present a conceptual framework describing causes of maladaptation. As the introductory article for a Special Feature on maladaptation, we also summarize the studies in this Issue, highlighting the causes of maladaptation in each study. We hope that our framework and the papers in this Special Issue will help catalyze the study of maladaptation in applied evolution, supporting greater understanding of evolutionary dynamics in our rapidly changing world.

Indexed as

adaptationfitnessglobal changemaladaptation

Identifiers

PMID31417611
PMCPMC6691215

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.