Evidence map›Paper›PMID 27881753›Full record

ReviewProceedings. Biological sciences2016

How can we estimate natural selection on endocrine traits? Lessons from evolutionary biology.

Frances Bonier, Paul R Martin

Open access · bronzeAbstract readReview
In one paragraph

Review in Proceedings. Biological sciences, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
34.2field-weighted citation impact, top 1% of its field
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

23 citing papers in PubMed, 77 citations in OpenAlex.

  1. Article
  2. Article
  3. Climate change and its effects on body size and shape: the role of endocrine mechanisms.Philosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
  4. HPA flexibility andPhilosophical transactions of the Royal Society of London. Series B, Biological sciences · 2024
    Review
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  6. Review
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  15. Article
  16. A Mathematical Modeling Approach to the Cort-Fitness Hypothesis.Integrative organismal biology (Oxford, England) · 2019
    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

2 authors at 1 institution in 2 countries.

Frances BonierBiology Department, Queen's University, Kingston, Ontario, Canada K7L 3N6 bonierf@queensu.ca.ORCID 0000-0001-7245-0244
Paul R MartinBiology Department, Queen's University, Kingston, Ontario, Canada K7L 3N6.ORCID 0000-0003-2611-1211
Google (United States) · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

An evolutionary perspective can enrich almost any endeavour in biology, providing a deeper understanding of the variation we see in nature. To this end, evolutionary endocrinologists seek to describe the fitness consequences of variation in endocrine traits. Much of the recent work in our field, however, follows a flawed approach to the study of how selection shapes endocrine traits. Briefly, this approach relies on among-individual correlations between endocrine phenotypes (often circulating hormone levels) and fitness metrics to estimate selection on those endocrine traits. Adaptive plasticity in both endocrine and fitness-related traits can drive these correlations, generating patterns that do not accurately reflect natural selection. We illustrate why this approach to studying selection on endocrine traits is problematic, referring to work from evolutionary biologists who, decades ago, described this problem as it relates to a variety of other plastic traits. We extend these arguments to evolutionary endocrinology, where the likelihood that this flaw generates bias in estimates of selection is unusually high due to the exceptional responsiveness of hormones to environmental conditions, and their function to induce adaptive life-history responses to environmental variation. We end with a review of productive approaches for investigating the fitness consequences of variation in endocrine traits that we expect will generate exciting advances in our understanding of endocrine system evolution.

Indexed as

Biological EvolutionGenetic FitnessSelection, GeneticAnimalsEndocrine SystemHormonesPhenotypeHormonesevolutionary endocrinologyflexibilityhormoneplasticityreaction normselection

Identifiers

PMID27881753
PMCPMC5136593
OpenAlexW2552013948

What OpenQuestion holds

Textmetadata
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.