ArticleEvolutionary applications2024
A genomic predictor for age at sexual maturity for mammalian species.
Article in Evolutionary applications, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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Who cites it
4 citing papers in PubMed.
- The potential of methylation signal detection in eDNA toward functional ecological monitoring.Communications biology · 2026Review
- Universal prediction of vertebrate species age at maturity.Communications biology · 2024Article
- Epigenetic Diversity and the Evolutionary Potential of Wild Populations.Evolutionary applications · 2024Article
- A genomic predictor for age at sexual maturity for mammalian species.Evolutionary applications · 2024Article
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Authors and funding
4 authors.
Funding
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Abstract
Age at sexual maturity is a key life history trait that can be used to predict population growth rates and develop life history models. In many wild animal species, the age at sexual maturity is not accurately quantified. This results in a reduced ability to accurately model demography of wild populations. Recent studies have indicated the potential for CpG density within gene promoters to be predictive of other life history traits, specifically maximum lifespan. Here, we have developed a machine learning model using gene promoter CpG density to predict the mean age at sexual maturity in mammalian species. In total, 91 genomes were used to identify 101 unique gene promoters predictive of age at sexual maturity across males and females. We found these gene promoters to be most predictive of age at sexual maturity in females (
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