Evidence map›Paper›PMID 31409252›Full record

ArticleProceedings. Biological sciences2019

Quantifying maladaptation during the evolution of sexual dimorphism.

Genevieve Matthews, Sandra Hangartner, David G Chapple, Tim Connallon

Open access · greenAbstract read
In one paragraph

Article in Proceedings. Biological sciences, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
7citing papers in PubMed, 1 pooled it
3.9field-weighted citation impact, top 7% 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

7 citing papers in PubMed, 1 synthesis or guideline pooled it, 23 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. On the resolution of sexual conflict over shared traits.Proceedings. Biological sciences · 2024
    Review
  4. Article
  5. Article
  6. Article
  7. 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 at 1 institution in 1 country.

Genevieve MatthewsSchool of Biological Sciences, Monash University, Clayton, Victoria 3800, Australia.
Sandra HangartnerSchool of Biological Sciences, Monash University, Clayton, Victoria 3800, Australia.
David G ChappleSchool of Biological Sciences, Monash University, Clayton, Victoria 3800, Australia.
Tim ConnallonSchool of Biological Sciences, Monash University, Clayton, Victoria 3800, Australia.
Monash University · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Females and males have distinct trait optima, resulting in selection for sexual dimorphism. However, most traits have strong cross-sex genetic correlations, which constrain evolutionary divergence between the sexes and lead to protracted periods of maladaptation during the evolution of sexual dimorphism. While such constraints are thought to be costly in terms of individual and population fitness, it remains unclear how severe such costs are likely to be. Building upon classical models for the 'cost of selection' in changing environments (sensu Haldane), we derived a theoretical expression for the analogous cost of evolving sexual dimorphism; this cost is a simple function of genetic (co)variances of female and male traits and sex differences in trait optima. We then conducted a comprehensive literature search, compiled quantitative genetic data from a diverse set of traits and populations, and used them to quantify costs of sexual dimorphism in the light of our model. For roughly 90% of traits, costs of sexual dimorphism appear to be modest, and comparable to the costs of fixing one or a few beneficial substitutions. For the remaining traits (approx. 10%), sexual dimorphism appears to carry a substantial cost-potentially orders of magnitude greater than costs of selection during adaptation to environmental changes.

Indexed as

Adaptation, BiologicalBiological EvolutionPhenotypeSex CharacteristicsAnimalsFemaleMaleModels, Biologicalcost of selectioncross-sex genetic correlationsexual antagonismsexual conflicttrade-off

Identifiers

PMID31409252
PMCPMC6710593
OpenAlexW2969037208

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.