Evidence map›Paper›PMID 40704455›Full record

ArticleMolecular ecology resources2025

Linkage Mapping vs. Association: A Comparison of Two RADseq-Based Approaches to Identify Markers for Homomorphic Sex Chromosomes in Large Genomes.

James France, Wiesław Babik, Katarzyna Dudek, Marzena Marszałek, Ben Wielstra

Abstract readComparative Study
In one paragraph

Article in Molecular ecology resources, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

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0cells of the map it votes in
3citing 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

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3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

James FranceInstitute of Biology Leiden, Leiden University, Leiden, the Netherlands.ORCID https://orcid.org/0000-0001-6651-3288
Wiesław BabikInstitute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Kraków, Poland.ORCID https://orcid.org/0000-0002-1698-6615
Katarzyna DudekInstitute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Kraków, Poland.
Marzena MarszałekInstitute of Environmental Sciences, Faculty of Biology, Jagiellonian University, Kraków, Poland.
Ben WielstraInstitute of Biology Leiden, Leiden University, Leiden, the Netherlands.ORCID https://orcid.org/0000-0002-7112-5965

Funding

H2020 European Research Council 802759
6 · The paper itself

Abstract

Reliable tools for the identification of genetic sex are invaluable in many fields of biology, but their design requires knowledge of sex-linked sequences, which is lacking in many taxa. Restriction-site-associated DNA sequencing (RADseq) is widely used to identify sex-linked markers, but multiple distinct strategies are employed, and it is often not obvious which is most suitable. In this study, we compare two approaches for using RADseq to identify sex-linked markers. We use the common newt, Lissotriton vulgaris, as our study system, providing a challenging combination of homomorphic sex chromosomes and an exceptionally large genome. We attempt an associative approach, sequencing 60 adult newts of known-sex individuals, and compare this to a linkage mapping approach utilising a family of 146 offspring with unknown sex. After optimisation for a highly paralogous genome, the associative approach identifies five Y-chromosome-linked markers in L. vulgaris, and we design a robust PCR protocol for molecular sexing of four more related species. Via the linkage approach, we construct a high-density map featuring 10,763 markers, matching the observed karyotype of L. vulgaris and showing broad synteny with the Iberian ribbed newt (Pleurodeles waltl). However, without incorporating the markers identified via the association-based approach, we cannot confidently distinguish a sex-determining region in the linkage map, either by analysing marker density or by identifying clusters of paternal markers. We conclude that linkage mapping alone is unlikely to yield sex-linked markers in organisms with very small sex-determining regions, whereas association-based RADseq can still be effective under these conditions.

Indexed as

Chromosome MappingSequence Analysis, DNASex ChromosomesAnimalsGenetic MarkersGenetic Markersassociation‐based approachlinkage mapRADseqsex chromosomessex identificationsmooth newt

Identifiers

PMID40704455
PMCPMC12415805

What Socratic holds

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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 Socratic graph.