Evidence map›Paper›PMID 40248910›Full record

ArticleGenome biology and evolution2025

Sexual Size Dimorphism Correlates With the Number of Androgen Response Elements in Mammals, But Only in Small-Bodied Species.

Caleb R Ghione, Matthew D Dean

Abstract read
In one paragraph

Article in Genome biology and evolution, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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.

Caleb R GhioneMolecular and Computational Biology, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0003-4981-8498
Matthew D DeanMolecular and Computational Biology, University of Southern California, Los Angeles, CA, USA.ORCID 0000-0002-5601-4140

Funding

National Science Foundation #2027373
6 · The paper itself

Abstract

Sexual size dimorphism is common throughout the animal kingdom, but its evolution and development remain difficult to explain given most of the genome is shared between males and females. Sex-biased regulation of genes via sex hormone signaling offers an intuitive mechanism by which males and females could develop different body sizes. One prediction of this hypothesis is that the magnitude of sexual size dimorphism scales with the number of androgen response elements or estrogen response elements, the DNA motifs to which sex hormone receptors bind. Here, we test this hypothesis using 268 mammalian species with full genome assemblies and annotations. We find that in the two smallest-bodied lineages (Chiroptera and Rodentia), sexual size dimorphism increases (male-larger) as the number of androgen response elements in a genome increases. In fact, myomorph rodents-which are especially small-bodied with high sexual size dimorphism-show an explosion of androgen receptor elements in their genomes. In contrast, the three large-bodied lineages (orders Carnivora, Cetartiodactyla, and Primates) do not show this relationship, instead following Rensch's Rule, or the observation that sexual size dimorphism increases with overall body size. One hypothesis to unify these observations is that small-bodied organisms like bats and rodents tend to reach peak reproductive fitness quickly and are more reliant on hormonal signaling to achieve sexual size dimorphism over relatively short time periods. Our study uncovers a previously unappreciated relationship between sexual size dimorphism, body size, and hormone signaling that likely varies in ways related to life history.

Indexed as

AndrogensBody SizeMammalsResponse ElementsSex CharacteristicsAnimalsFemaleMaleReceptors, AndrogenAndrogensReceptors, Androgenandrogen signalingevolutiongeneticshormone response elementssexual size dimorphism

Identifiers

PMID40248910
PMCPMC12015095

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.