Evidence map›Paper›PMID 41490487›Full record

ArticleProceedings of the National Academy of Sciences of the United States of America2026

Sex-allocation trade-offs and their genetic architecture revealed by experimental evolution.

Jörn F Gerchen, Nora Villamil-Buenrostro, Xinji Li, Ehouarn Le Faou, John R Pannell

Abstract read
In one paragraph

Article in Proceedings of the National Academy of Sciences of the United States of America, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

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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

2 citing papers in PubMed.

  1. Sex-allocation trade-offs and their genetic architecture revealed by experimental evolution.Proceedings of the National Academy of Sciences of the United States of America · 2026
    Article
  2. 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

5 authors.

Jörn F GerchenDepartment of Ecology and Evolution, University of Lausanne, Lausanne 1015, Switzerland.ORCID 0000-0002-0821-7912
Nora Villamil-BuenrostroDepartment of Ecology and Evolution, University of Lausanne, Lausanne 1015, Switzerland.ORCID 0000-0002-6957-2248
Xinji LiDepartment of Ecology and Evolution, University of Lausanne, Lausanne 1015, Switzerland.ORCID 0000-0002-3019-5289
Ehouarn Le FaouDepartment of Ecology and Evolution, University of Lausanne, Lausanne 1015, Switzerland.
John R PannellDepartment of Ecology and Evolution, University of Lausanne, Lausanne 1015, Switzerland.ORCID 0000-0002-0098-7074

Funding

Swiss NSF 310030_185196Swiss NSF 310030_215135
6 · The paper itself

Abstract

The theory of sex allocation is hailed as one of evolutionary biology's great successes. But while it has successfully predicted strategies of resource allocation to male versus female offspring under a wide range of conditions in species with separate sexes, it has been difficult to verify the fundamental assumption of a direct genetic trade-off between male and female allocations when both sexes are expressed together in the same individuals. This trade-off assumption supposes that mutations that increase an individual's male allocation reduce its female allocation, and vice versa. Here, we use experimental evolution to generate wide variation in sex allocation in a wind-pollinated annual plant. We demonstrate a clear trade-off between the two sexual functions over time, with populations repeatedly evolving increased male and correspondingly reduced female allocation. Quantitative trait locus (QTL) analysis performed on multiple crosses further reveals the segregation of allelic variation at "trade-off loci." Taken together, our results demonstrate a genetic trade-off in sex allocation in hermaphrodites and provide compelling evidence for sex-allocation trade-off loci. Our study thus verifies the fundamental assumption of sex-allocation theory and secures its general applicability to both dioecious and hermaphroditic species.

Indexed as

Biological EvolutionQuantitative Trait Locihermaphroditismlife historyquantitative trait locisex ratiosexual system

Identifiers

PMID41490487
PMCPMC12799159

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Registered trials

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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.