ArticleTropical animal health and production2020
Genetic variability and relationships in nine South African cattle breeds using microsatellite markers.
Article in Tropical animal health and production, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed.
- Genetic diversity of cattle in three regions of Gauteng province in South Africa using microsatellite markers.Tropical animal health and production · 2026Article
- The risk status, signatures of adaptation, and environmental suitability of village-based indigenous chickens from certain regions of Limpopo and KwaZulu-Natal provinces of South Africa.Frontiers in genetics · 2024Article
- Genetic Differentiation among Livestock Breeds-Values for FAnimals : an open access journal from MDPI · 2022Article
- Whole-Genome SNP Characterisation Provides Insight for Sustainable Use of Local South African Livestock Populations.Frontiers in genetics · 2021Article
- Breed Ancestry, Divergence, Admixture, and Selection Patterns of the Simbra Crossbreed.Frontiers in genetics · 2020Article
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Authors and funding
6 authors.
Funding
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Abstract
Genetic variability within and between breeds allows adaptation to a changing environment and consequently prepares producers for the future. Eleven bovine-specific microsatellite markers were used to genotype animals from each of nine South African cattle breeds: Afrikaner (N = 550), Angus (N = 550), Bonsmara (N = 550), Boran (N = 321), Brahman (N = 550), Drakensberger (N = 550), Nguni (N = 550), Simmental (N = 550), and Tuli (N = 311). These breeds were drawn from Bos taurus africanus, Bos taurus, and Bos indicus. Genetic variability estimates included unbiased heterozygosity, effective number of alleles, and inbreeding. Ranges of these parameters were 0.569-0.741, 8.818-11.455, and - 0.001-0.050, respectively. Breed private allele and breed pairwise comparison was also used to characterize the breeds. The analysis of population structure with K = 2 revealed clusters comprised of Sanga-indicine and taurine, while K = 3 included separate clusters of Sanga, indicine, and taurine, and with K = 9 showed the breeds arising from unique progenitor populations. This study broke new ground in molecular cattle genetic diversity by genotyping a large sample size per breed and using a larger number of breeds compared with similar studies that have been conducted in the recent past which have either used a smaller number of breeds or smaller sample sizes but with a larger number of marker loci. Thus, opportunities that arise to explore genetic diversity and relationships in both the livestock and wildlife industries in Southern Africa may capitalize on microsatellite marker databases which remain cost-effective and accessible due to their extensive use for parentage verification.
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