Evidence map›Paper›PMID 41102778›Full record

ArticleBMC veterinary research2025

Exploring the polygenic landscape of wool traits in Turkish merinos through multi-locus GWAS approaches: Karacabey Merino.

Yalçın Yaman, Sedat Behrem, Ramazan Aymaz, Murat Keleş, Yiğit Emir Ki̇şi̇

Abstract read
In one paragraph

Article in BMC veterinary research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

5 authors.

Yalçın YamanDepartment of Genetics, Faculty of Veterinary Medicine, Siirt University, Siirt, 56000, Türkiye. yalcinyaman@gmail.com.ORCID http://orcid.org/0000-0003-2705-2831
Sedat BehremDepartment of Genetics, Faculty of Veterinary Medicine, Aksaray University, Aksaray, 68000, Türkiye.
Ramazan AymazSheep Research and Breeding Institute, Bandırma, Balıkesir, Türkiye.
Murat KeleşSheep Research and Breeding Institute, Bandırma, Balıkesir, Türkiye.
Yiğit Emir Ki̇şi̇Sheep Research and Breeding Institute, Bandırma, Balıkesir, Türkiye.

Funding

Tarimsal Araştirmalar ve Politikalar Genel Müdürlüğü, Türkiye Cumhuriyeti Tarim Ve Orman Bakanliği TAGEM/HAYSÜD/E/20/A4/P2/2141
6 · The paper itself

Abstract

This study investigated the genetic basis of wool traits in Karacabey Merino sheep, a dual-purpose breed developed in Northwest Türkiye. Heritability estimates were moderate for fibre diameter (FD; h² = 0.360) and greasy fleece weight (GFW; h² = 0.443), but low for staple length (SL; h² = 0.119), suggesting that while some traits may respond well to selection, others may require larger datasets or complementary approaches to capture their underlying genetic variation. Genetic and phenotypic correlations with growth traits revealed complex interactions, indicating that selection for wool traits may have trade-offs with growth performance, a key consideration in the breeding of dual-purpose sheep. To identify genomic regions associated with these traits, we employed multiple multi-locus GWAS methods (mrMLM, FASTmrMLM, FASTmrEMMA, pLARmEB, and ISIS EM-BLASSO). To enhance the robustness of the findings and reduce the likelihood of false positives, a stringent significance threshold (LOD ≥ 5) was applied. Post hoc power analysis further demonstrated that a considerable proportion of the identified QTNs exceeded the critical statistical power threshold (≥ 0.8), providing greater confidence in their biological relevance. Importantly, several loci were consistently detected across different models, underscoring their stability and potential value as reliable markers. Together, these findings provide novel insights into the polygenic architecture of wool traits in Karacabey Merino sheep and identify promising targets for marker-assisted selection. Beyond their immediate relevance to this breed, the results also contribute to a broader understanding of the genetic regulation of wool traits in dual-purpose sheep. Future studies incorporating functional validation, gene expression analyses, and replication in independent populations will be essential to confirm the functional significance of the identified loci. Such efforts would not only improve the reliability of these associations but also enable their practical application in breeding programmes aimed at optimising both wool quality and growth performance.

Indexed as

Genome-Wide Association StudyMultifactorial InheritanceWoolAnimalsBreedingPhenotypePolymorphism, Single NucleotideSheepDual-purpose breedingKaracabey merinoMulti-locus GWASWool traits

Identifiers

PMID41102778
PMCPMC12532847

What Socratic holds

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LicenceCC BY-NC-ND
Read underepoch 390

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 Socratic graph.