ArticleMolecular biology and evolution2026
Using gene topologies to partition sex chromosomes into regions with distinct histories.
Article in Molecular biology and evolution, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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.
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.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Sex chromosomes often evolve through successive recombination arrests, forming evolutionary strata. Accurately describing these strata, their boundaries and history is crucial for studying sex chromosome evolution, but this can be very challenging, particularly in young sex chromosomes where X-Y or Z-W divergence is low or in highly rearranged sex chromosomes where strata are divided into pieces. Standard approaches to distinguish recently evolved strata involve combining signals from dS, Fst and gene-by-gene phylogenies, all of which can be noisy. Here, we propose a new method that uses the proportion of allele topologies observed on sex-linked genes between at least a pair of sister species, obtained from reconstructed X and Y sequences aligned to the same reference, along with an outgroup to infer ancestral alleles, with flexibility in the reconstruction pipeline. We implement a change-point analysis to objectively identify transitions in these proportions. Our method both delimitates strata and infers whether their evolutionary history is shared or convergent between species. We illustrate and test this method on Silene and Artemia species. Our new method is reliable and robust, globally confirming previous findings known for some of these species. The method is also sensitive, refining those previous findings and identifying regions that were not previously reported. We finally illustrate how this approach can inform scenarios that retrace the history of sex chromosomes in these species. Overall, this approach presents a tool that can be widely used and that complement existing methods to study sex chromosomes.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
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.