Evidence map›Paper›PMID 42278079›Full record

ArticleAnimals : an open access journal from MDPI2026

Genomic Signatures of Selection Reveal Breed-Specific and Shared Adaptive Regions in South African Beef Cattle.

Mamokoma Cathrine Modiba, Aletta Matshidiso Magoro, Peter Ayodeji Idowu, Khathutshelo Agree Nephawe, Jabulani Nkululeko Ngcobo, Takalani Judas Mpofu, Bohani Mtileni

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Article in Animals : an open access journal from MDPI, 2026. 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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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

7 authors.

Mamokoma Cathrine ModibaDepartment of Animal Sciences, Tshwane University of Technology, Pretoria 0001, South Africa.
Aletta Matshidiso MagoroDepartment of Animal Sciences, Tshwane University of Technology, Pretoria 0001, South Africa.ORCID 0000-0002-3230-3167
Peter Ayodeji IdowuDepartment of Animal Sciences, Tshwane University of Technology, Pretoria 0001, South Africa.ORCID 0000-0002-0227-3171
Khathutshelo Agree NephaweDepartment of Animal Sciences, Tshwane University of Technology, Pretoria 0001, South Africa.ORCID 0000-0002-4181-3134
Jabulani Nkululeko NgcoboDepartment of Animal Sciences, Tshwane University of Technology, Pretoria 0001, South Africa.ORCID 0000-0001-7096-3660
Takalani Judas MpofuDepartment of Animal Sciences, Tshwane University of Technology, Pretoria 0001, South Africa.ORCID 0000-0003-4688-0413
Bohani MtileniDepartment of Animal Sciences, Tshwane University of Technology, Pretoria 0001, South Africa.ORCID 0000-0001-5126-598X

Funding

National Research Foundation (Grant No. 120370)
6 · The paper itself

Abstract

In genetics and evolutionary biology, selection signatures refer to distinct genomic patterns that reflect the action of natural and artificial selection on populations over time. Detecting such signatures provides critical insights into adaptive evolution and breed differentiation, especially in livestock populations subjected to diverse production environments and breeding objectives. In this study, a total of 96 samples were collected from four different cattle breeds, namely, South African indigenous Nguni (n = 28), Bonsmara (n = 21), Angus (n = 22), and Simmental (n = 25). The samples were genotyped using the Illumina Bovine SNP 150K BeadChip and subjected to quality control. Selection signatures were identified using the integrated haplotype score (iHS) method and the fixation index (Fst) method to assess the genetic differences between breeds. The complementary application of within-population and cross-population approaches enabled the detection of both recent and divergent selective pressures. A total of twelve regions were found to be under selection, with

Indexed as

adaptive divergencecandidate genesfixation indexintegrated haplotype scoretraits

Identifiers

PMID42278079
PMCPMC13255661

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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.