Evidence map›Paper›PMID 41357153›Full record

ArticleEvolution letters2025

Gestation length both shapes and is shaped by other life history traits in terrestrial eutherian mammals.

Thodoris Danis, Dana Lin, Daniel S Caetano, Gregory F Funston, Antonis Rokas

Erratum issuedAbstract read
In one paragraph

Article in Evolution letters, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Not yet cited in PubMed.

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0citing papers in PubMed
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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

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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

5 · Who and what money

Authors and funding

5 authors.

Thodoris DanisDepartment of Biological Sciences, Vanderbilt University, Nashville, United States.ORCID https://orcid.org/0000-0002-0862-4972
Dana LinDepartment of Biological Sciences, Vanderbilt University, Nashville, United States.ORCID https://orcid.org/0000-0002-7952-2359
Daniel S CaetanoDepartment of Biological Sciences, Towson University, Towson, United States.ORCID https://orcid.org/0000-0002-2803-4064
Gregory F FunstonDepartment of Earth and Planetary Sciences, University of California, Davis, United States.ORCID https://orcid.org/0000-0003-3430-4398
Antonis RokasDepartment of Biological Sciences, Vanderbilt University, Nashville, United States.ORCID https://orcid.org/0000-0002-7248-6551

Funding

Deciphering the phenotypic and genomic traits that underlie the evolution of pathogenicity differences among Aspergillus fumigatus and its close relativesR01AI153356 · NIAID · VANDERBILT UNIVERSITY · PI Antonis Rokas · 2022 to 2026
$3.5M
NIAID NIH HHS R01 AI153356
6 · The paper itself

Abstract

The length of gestation in eutherian mammals, which is key to their reproductive success, is closely connected to other life history traits, body mass, and brain mass, but the direction of relationships between these variables is unclear. Here, we used an integrative analytical framework to evaluate the evolutionary relationships between gestation length and 8 other traits on a dataset of 3,258 eutherian mammals and to infer potential causal influences. Using a random forest machine learning algorithm as well as phylogenetic comparative methods, we identify litter size as the primary predictor of gestation length, while additional traits, such as brain mass and weaning age, are significant predictors in specific mammalian orders. Using a structural equation modeling approach known as phylogenetic path analysis, we find that gestation length directly negatively influences litter size and is directly positively influenced by brain mass across eutherian orders. In contrast, the commonly observed relationship between gestation length and body size can be better understood as indirect effects through other traits. Consistent with these inferred relationships, examination of trait-trait coevolution reinforces that gestation length is strongly negatively associated with litter size, strongly positively associated with brain mass, and only moderately correlated with body mass. These findings suggest that gestation length both shapes and is shaped by other key traits, across eutherian mammals as well as sometimes in an order-dependent manner.

Indexed as

allometrycausal analysislife historymammalian evolutionrandom foresttrait coevolution

Identifiers

PMID41357153
PMCPMC12676461

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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.