van der Westhuizen Lené, MacNeil Michael D, Scholtz Michiel M, Neser Frederick W C, Makgahlela Makglako L, van Wyk Japie B
ARC-Animal Production, Irene, 0062, South Africa.
University of the Free State, Bloemfontein, 9300, South Africa.
Trop Anim Health Prod. 2020 Jan;52(1):177-184. doi: 10.1007/s11250-019-02003-z. Epub 2019 Aug 6.
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.
品种内部和品种之间的遗传变异性有助于适应不断变化的环境,从而为生产者应对未来做好准备。使用11个牛特异性微卫星标记对来自9个南非牛品种的动物进行基因分型:南非布尔牛(N = 550)、安格斯牛(N = 550)、邦斯玛拉牛(N = 550)、博拉牛(N = 321)、婆罗门牛(N = 550)、德拉肯斯伯格牛(N = 550)、恩古尼牛(N = 550)、西门塔尔牛(N = 550)和图利牛(N = 311)。这些品种源自非洲瘤牛、普通牛和印度瘤牛。遗传变异性估计包括无偏杂合度、有效等位基因数和近亲繁殖。这些参数的范围分别为0.569 - 0.741、8.818 - 11.455和 - 0.001 - 0.050。还使用品种特有等位基因和品种成对比较来表征这些品种。K = 2时的群体结构分析揭示了由桑加 - 印度瘤牛和普通牛组成的聚类,而K = 3时包括桑加牛、印度瘤牛和普通牛的单独聚类,K = 9时显示这些品种源自独特的祖先群体。与最近进行的类似研究相比,本研究通过对每个品种进行大样本量基因分型并使用更多品种,在分子牛遗传多样性方面开辟了新领域,那些研究要么使用较少的品种,要么样本量较小,但标记位点较多。因此,在南部非洲的畜牧和野生动物产业中探索遗传多样性和关系所出现的机会,可能会利用微卫星标记数据库,由于其在亲子鉴定中的广泛应用,这些数据库仍然具有成本效益且易于获取。