Evidence map›Paper›PMID 34792183›Full record

ArticleEvolution; international journal of organic evolution2022

Estimation of the strength of mate preference from mated pairs observed in the wild.

Erin Clancey, Timothy R Johnson, Luke J Harmon, Paul A Hohenlohe

Open access · hybridAbstract read
In one paragraph

Article in Evolution; international journal of organic evolution, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
2.5field-weighted citation impact, top 10% 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

3 citing papers in PubMed, 8 citations in OpenAlex.

  1. Review
  2. Article
  3. Review
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.

Erin ClanceyDepartment of Mathematics and Statistical Science, University of Idaho, Moscow, Idaho, 83844, USA.ORCID 0000-0003-4728-4023
Timothy R JohnsonDepartment of Mathematics and Statistical Science, University of Idaho, Moscow, Idaho, 83844, USA.ORCID 0000-0002-2600-5972
Luke J HarmonDepartment of Biological Sciences, Institute for Bioinformatics and Evolutionary Studies, University of Idaho, Moscow, Idaho, 83844, USA.ORCID 0000-0002-4985-5750
Paul A HohenloheDepartment of Mathematics and Statistical Science, University of Idaho, Moscow, Idaho, 83844, USA.ORCID 0000-0002-7616-0161
University of Idaho · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

A number of key processes in evolution are driven by individuals preferring mates with particular phenotypes. However, despite long-standing interest, it is difficult to quantify the strength of mate preference from phenotypic observations in nature in a way that connects directly to key parameters in theoretical models. To bridge the gap between mathematical models and empirical data, we develop a novel maximum likelihood-based method to estimate the strength and form of mate preference, where preference depends on traits expressed in both males and females. Using simulated data, we demonstrate that our method accurately infers model parameters, including the strength of mate preference and the optimal offset match between trait values in mated pairs when model assumptions are satisfied. Applying our method to two previous studies of assortative mating in marine gastropods and the European common frog, we support previous findings, but also give additional insight into the role of mate preference in each system. Our method can be generalized to a variety of plant and animal taxa that exhibit mating preferences to facilitate the testing of evolutionary hypotheses and link empirical data to theoretical models of assortative mating, sexual selection, and speciation.

Indexed as

Mating Preference, AnimalAnimalsFemaleHumansLikelihood FunctionsMalePhenotypeReproductionAssortative matingmate preferencemaximum likelihoodquantitative genetics modelssexual selection

Identifiers

PMID34792183
PMCPMC9300214
OpenAlexW3214528138

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.