Evidence map›Paper›PMID 39573836›Full record

ArticleAnimal genetics2025

Genome-wide scans for signatures of selection in North African sheep reveals differentially selected regions between fat- and thin-tailed breeds.

Slim Ben-Jemaa, Ghazi Yahyaoui, Samia Kdidi, Afef Najjari, Johannes A Lenstra, Salvatore Mastrangelo, Semir B S Gaouar, Joram M Mwacharo, Touhami Khorchani, Mohamed H Yahyaoui

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Article in Animal genetics, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

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2citing papers 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

Who cites it

2 citing papers in PubMed.

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4 · The record

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5 · Who and what money

Authors and funding

10 authors.

Slim Ben-JemaaLaboratoire Des Productions Animales et Fourragères, Institut National de la Recherche Agronomique de Tunisie, Université de Carthage, Ariana, Tunisia.ORCID https://orcid.org/0000-0002-7103-3315
Ghazi YahyaouiDépartement de Biologie, Faculté Des Sciences de Tunis, Université Tunis El Manar, Tunis, Tunisia.
Samia KdidiLaboratoire d'Elevage et Faune Sauvage, Institut Des Régions Arides, Medenine, Tunisia.
Afef NajjariLaboratoire de Microbiologie et Biomolécules Actives LR03ES03, Faculté Des Sciences de Tunis, Université Tunis El Manar, Tunis, Tunisia.
Johannes A LenstraFaculty of Veterinary Medicine, Utrecht University, Utrecht, The Netherlands.ORCID https://orcid.org/0000-0003-1745-7739
Salvatore MastrangeloDipartimento di Scienze Agrarie, Alimentari e Forestali, University of Palermo, Palermo, Italy.ORCID https://orcid.org/0000-0001-6511-1981
Semir B S GaouarApplied Genetic in Agriculture, Ecology and Public Health Laboratory, University of Tlemcen, Tlemcen, Algeria.
Joram M MwacharoSmall Ruminant Genomics, International Centre for Agricultural Research in the Dry Areas (ICARDA), Addis Ababa, Ethiopia.
Touhami KhorchaniLaboratoire d'Elevage et Faune Sauvage, Institut Des Régions Arides, Medenine, Tunisia.
Mohamed H YahyaouiLaboratoire d'Elevage et Faune Sauvage, Institut Des Régions Arides, Medenine, Tunisia.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

North Africa counts several sheep breeds that can be categorized as fat- and thin-tailed. The former are well adapted to dryland environments. In this study, we used 50K genome-wide single nucleotide polymorphism profiles from 462 animals representing nine fat-tailed and 13 thin-tailed sheep breeds across North Africa to localize genomic regions putatively under differential selective pressures between the two types of breeds. We observed genetic clines from east to west and from north to south. The east-west cline separates the fat- and thin-tailed breeds, with the exception of the fat-tailed Algerian Barbarine, which is closely related to a genetically homogeneous cluster of Moroccan and Algerian thin-tailed breeds. Using a combination of three extended haplotype homozygosity tests, we detected seven candidate regions under divergent selection between fat- and thin-tailed sheep. The strongest selection signals reside on chromosomes 1 and 13, with the latter spanning the BMP2 gene, known to be associated with the fat-tail phenotype. Overall, the candidate regions under selection in fat-tailed sheep overlap with genes associated with adaptation to desert-like environments including adipogenesis, as well as heat and drought tolerance. Our results confirm previously reported candidate genes known to be a target of fat-tail selection in sheep but also reveal novel candidate genes specifically under selection in North African populations.

Indexed as

Polymorphism, Single NucleotideSelection, GeneticSheep, DomesticAfrica, NorthernAnimalsBreedingHaplotypescandidate geneextended haplotype homozygosityfat tailNorth African sheepselection signaturesingle nucleotide polymorphism

Identifiers

PMID39573836
PMCPMC11653233

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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.