Genetic variability and relationships in nine South African cattle breeds using microsatellite markers

• Published in: Tropical animal health and production 2020, Vol.52 (1), p.177-184
• Main Authors: van der Westhuizen, Lené, MacNeil, Michael D., Scholtz, Michiel M., Neser, Frederick W. C., Makgahlela, Makglako L., van Wyk, Japie B.
• Format: Article
• Language: English
• Subjects: Alleles; Animals; Biomedical and Life Sciences; Bos taurus; Bovidae; Breeding; Cattle; Cattle - genetics; Changing environments; Clusters; Environmental changes; Genetic diversity; Genetic markers; Genetic variability; Genetic Variation; Genotypes; Genotyping; Heterozygosity; Inbreeding; Life Sciences; Livestock; Markers; Microsatellite Repeats; Microsatellites; Population structure; Population studies; Regular Articles; South Africa; Veterinary Medicine/Veterinary Science; Wildlife; Zoology
• ISSN: 0049-4747; 1573-7438
• DOI: 10.1007/s11250-019-02003-z

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.