Evidence map›Paper›PMID 25690179›Full record

ReviewHeredity2015

Constraints on the evolution of phenotypic plasticity: limits and costs of phenotype and plasticity.

C J Murren, J R Auld, H Callahan, C K Ghalambor, C A Handelsman, M A Heskel, J G Kingsolver, H J Maclean, J Masel, H Maughan and 6 more

Abstract readReview
In one paragraph

Review in Heredity, 2015. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 209 papers, 2 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
209citing papers in PubMed, 2 pooled it
–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

209 citing papers in PubMed, 2 syntheses or guidelines pooled it.

  1. Pooled it
  2. Sparse evidence for selection on phenotypic plasticity in response to temperature.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2019
    Pooled it
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  14. Evolutionary bioenergetics of sporulation.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
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149 more citing papers are in PubMed but not listed here.

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

16 authors.

C J MurrenDepartment of Biology, College of Charleston, Charleston, SC, USA.
J R AuldDepartment of Biology, West Chester University, West Chester, PA, USA.
H CallahanBarnard College, Columbia University, New York, NY, USA.
C K GhalamborDepartment of Biology, Colorado State University, Fort Collins, CO, USA.
C A HandelsmanDepartment of Biology, Colorado State University, Fort Collins, CO, USA.
M A HeskelResearch School of Biology, Australian National University, Acton, Canberra, Australian Capital Territory, Australia.
J G KingsolverDepartment of Biology, University of North Carolina, Chapel Hill, NC, USA.
H J MacleanDepartment of Biology, University of North Carolina, Chapel Hill, NC, USA.
J MaselDepartment of Ecology and Evolutionary Biology, University of Arizona, Tucson, AZ, USA.ORCID http://orcid.org/0000-0002-7398-2127
H MaughanRonin Institute, Montclair, NJ, USA.
D W PfennigDepartment of Biology, University of North Carolina, Chapel Hill, NC, USA.
R A RelyeaDepartment of Biological Sciences, Rensselaer Polytechnic Institute, Troy, NY, USA.
S SeiterDepartment of Ecology and Evolution, University of Colorado Boulder, Boulder, CO, USA.
E Snell-RoodDepartment of Ecology, Evolution and Behavior, University of Minnesota, St Paul, MN, USA.
U K SteinerDepartment of Biology, University of Southern Denmark, Max-Planck Odense Centre on the Biodemography of Aging, Odense, Denmark.
C D SchlichtingDepartment of Ecology and Evolutionary Biology, University of Connecticut, Storrs, CT, USA.

Funding

THE CONVERSION OF NONCODING SEQUENCES INTO PROTEINSR01GM104040 · NIGMS · UNIVERSITY OF ARIZONA · PI CORDES, MATTHEW HJ, MASEL, JOANNA · 2013 to 2016
$839k
Towards a general theory of evolutionary capacitanceR01GM076041 · NIGMS · UNIVERSITY OF ARIZONA · PI MASEL, JOANNA · 2006 to 2009
$565k
NIGMS NIH HHS R01 GM076041NIGMS NIH HHS R01 GM104040
6 · The paper itself

Abstract

Phenotypic plasticity is ubiquitous and generally regarded as a key mechanism for enabling organisms to survive in the face of environmental change. Because no organism is infinitely or ideally plastic, theory suggests that there must be limits (for example, the lack of ability to produce an optimal trait) to the evolution of phenotypic plasticity, or that plasticity may have inherent significant costs. Yet numerous experimental studies have not detected widespread costs. Explicitly differentiating plasticity costs from phenotype costs, we re-evaluate fundamental questions of the limits to the evolution of plasticity and of generalists vs specialists. We advocate for the view that relaxed selection and variable selection intensities are likely more important constraints to the evolution of plasticity than the costs of plasticity. Some forms of plasticity, such as learning, may be inherently costly. In addition, we examine opportunities to offset costs of phenotypes through ontogeny, amelioration of phenotypic costs across environments, and the condition-dependent hypothesis. We propose avenues of further inquiry in the limits of plasticity using new and classic methods of ecological parameterization, phylogenetics and omics in the context of answering questions on the constraints of plasticity. Given plasticity's key role in coping with environmental change, approaches spanning the spectrum from applied to basic will greatly enrich our understanding of the evolution of plasticity and resolve our understanding of limits.

Indexed as

Biological EvolutionEnvironmentGenetic FitnessPhenotypeAdaptation, BiologicalGenetic VariationSelection, Genetic

Identifiers

PMID25690179
PMCPMC4815460

What OpenQuestion holds

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LicenceCC BY-NC-ND
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.