Evidence map›Paper›PMID 40772596›Full record

ArticleMolecular ecology2025

Opinion: Why Sex-Based Genomic Differentiation Should Not Be Overlooked in Population Genetics.

Yu-Chi Chen, Nikolas Vellnow, Justin J S Wilcox, Sahar Javaheri Tehrani, Toni I Gossmann

Abstract read
In one paragraph

Article in Molecular ecology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. 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.

Yu-Chi ChenComputational Systems Biology, Faculty of Biochemical and Chemical Engineering, TU Dortmund University, Dortmund, Germany.ORCID 0000-0001-8787-0700
Nikolas VellnowComputational Systems Biology, Faculty of Biochemical and Chemical Engineering, TU Dortmund University, Dortmund, Germany.ORCID 0000-0002-7054-3268
Justin J S WilcoxComputational Systems Biology, Faculty of Biochemical and Chemical Engineering, TU Dortmund University, Dortmund, Germany.ORCID 0000-0001-6747-4508
Sahar Javaheri TehraniComputational Systems Biology, Faculty of Biochemical and Chemical Engineering, TU Dortmund University, Dortmund, Germany.ORCID 0000-0002-4824-1837
Toni I GossmannComputational Systems Biology, Faculty of Biochemical and Chemical Engineering, TU Dortmund University, Dortmund, Germany.ORCID 0000-0001-6609-4116

Funding

H2020 European Research Council 947636
6 · The paper itself

Abstract

Sex-specific genomic differentiation is a crucial yet frequently overlooked factor in population genetics. In this opinion piece, we leverage the substantial genomic resources available for the great tit (Parus major), including population-scale data sets from many European populations, to investigate genomic differentiation between males and females. Unlike in some other species, where high-quality genome assemblies exist but broad population sampling is lacking, the great tit offers a unique opportunity to study sex-based differentiation at both the genomic and population level. We identify significant differentiation at an autosomal locus on chromosome 5, which we hypothesise originates from sex-linked variation present on the sex chromosomes (Z and potentially W). By referencing genomic data from other songbirds with well-assembled sex chromosomes, we illustrate how autosomal loci may exhibit high sequence similarity to sex-linked regions. Our analyses demonstrate that uneven sex ratios in sampled populations can substantially bias differentiation metrics (e.g., F

Indexed as

Genetics, PopulationSongbirdsAnimalsFemaleGenomeGenomicsMaleSex ChromosomesSex Ratioevolutionary genomicsgenomic variationlocal adaptationpopulation geneticsreference genomesex‐based differentiationsex‐biased selectionSNP‐based analysisW chromosomeZ chromosome

Identifiers

PMID40772596
PMCPMC12421491

What OpenQuestion holds

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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.