Corredor Flor-Anita, Figueroa Deyanira, Estrada Richard, Salazar Wilian, Quilcate Carlos, Vásquez Héctor V, Gonzales Jhony, Maicelo Jorge L, Medina Percy, Arbizu Carlos I
Dirección de Desarrollo Tecnológico Agrario, Instituto Nacional de Innovación Agraria (INIA), Lima, Peru.
Facultad de Ingenierŕa Zootecnista, Agronegocios y Biotecnología, Universidad Nacional Toribio Rodríguez de Mendoza de Amazonas, Amazonas, Peru.
Front Genet. 2023 Mar 10;14:1073843. doi: 10.3389/fgene.2023.1073843. eCollection 2023.
New-generation sequencing technologies, among them SNP chips for massive genotyping, are useful for the effective management of genetic resources. To date, molecular studies in Peruvian cattle are still scarce. For the first time, the genetic diversity and population structure of a reproductive nucleus cattle herd of four commercial breeds from a Peruvian institution were determined. This nucleus comprises Brahman ( = 9), Braunvieh ( = 9), Gyr ( = 5), and Simmental ( = 15) breeds. Additionally, samples from a locally adapted creole cattle, the Arequipa Fighting Bull (AFB, = 9), were incorporated. Female individuals were genotyped with the GGPBovine100K and males with the BovineHD. Quality control, and the proportion of polymorphic SNPs, minor allele frequency, expected heterozygosity, observed heterozygosity, and inbreeding coefficient were estimated for the five breeds. Admixture, principal component analysis (PCA), and discriminant analysis of principal components (DAPC) were performed. Also, a dendrogram was constructed using the Neighbor-Joining clustering algorithm. The genetic diversity indices in all breeds showed a high proportion of polymorphic SNPs, varying from 51.42% in Gyr to 97.58% in AFB. Also, AFB showed the highest expected heterozygosity estimate (0.41 ± 0.01), while Brahman the lowest (0.33 ± 0.01). Besides, Braunvieh possessed the highest observed heterozygosity (0.43 ± 0.01), while Brahman the lowest (0.37 ± 0.02), indicating that Brahman was less diverse. According to the molecular variance analysis, 75.71% of the variance occurs within individuals, whereas 24.29% occurs among populations. The pairwise genetic differentiation estimates (F) between breeds showed values that ranged from 0.08 (Braunvieh vs. AFB) to 0.37 (Brahman vs. Braunvieh). Similarly, pairwise Reynold's distance ranged from 0.09 (Braunvieh vs. AFB) to 0.46 (Brahman vs. Braunvieh). The dendrogram, similar to the PCA, identified two groups, showing a clear separation between (Brahman and Gyr) and breeds (Braunvieh, Simmental, and AFB). Simmental and Braunvieh grouped closely with the AFB cattle. Similar results were obtained for the population structure analysis with = 2. The results from this study would contribute to the appropriate management, avoiding loss of genetic variability in these breeds and for future improvements in this nucleus. Additional work is needed to speed up the breeding process in the Peruvian cattle system.
新一代测序技术,其中包括用于大规模基因分型的SNP芯片,对遗传资源的有效管理很有用。迄今为止,秘鲁牛的分子研究仍然很少。首次确定了来自秘鲁一家机构的四个商业品种繁殖核心牛群的遗传多样性和种群结构。这个核心群体包括婆罗门牛(=9头)、瑞士褐牛(=9头)、吉尔牛(=5头)和西门塔尔牛(=15头)品种。此外,还纳入了当地适应性强的克里奥尔牛品种阿雷基帕斗牛(AFB,=9头)的样本。雌性个体使用GGPBovine100K进行基因分型,雄性个体使用BovineHD进行基因分型。对这五个品种估计了质量控制、多态性SNP比例、次要等位基因频率、预期杂合度、观察到的杂合度和近交系数。进行了混合分析、主成分分析(PCA)和主成分判别分析(DAPC)。此外,使用邻接法聚类算法构建了树形图。所有品种的遗传多样性指数显示多态性SNP比例很高,从吉尔牛的51.42%到阿雷基帕斗牛的97.58%不等。此外,阿雷基帕斗牛的预期杂合度估计最高(0.41±0.01),而婆罗门牛最低(0.33±0.01)。此外,瑞士褐牛的观察到的杂合度最高(0.43±0.01),而婆罗门牛最低(0.37±0.02),这表明婆罗门牛的多样性较低。根据分子方差分析,75.71%的方差发生在个体内,而24.29%发生在种群间。品种间的成对遗传分化估计值(F)范围从0.08(瑞士褐牛与阿雷基帕斗牛)到0.37(婆罗门牛与瑞士褐牛)。同样,成对雷诺距离范围从0.09(瑞士褐牛与阿雷基帕斗牛)到0.46(婆罗门牛与瑞士褐牛)。树形图与PCA相似,识别出两组,显示出(婆罗门牛和吉尔牛)与(瑞士褐牛、西门塔尔牛和阿雷基帕斗牛)品种之间有明显的分离。西门塔尔牛和瑞士褐牛与阿雷基帕斗牛紧密聚类。对于K=2的种群结构分析也得到了类似的结果。本研究的结果将有助于进行适当的管理,避免这些品种遗传变异性的丧失,并为该核心群体的未来改良做出贡献。需要开展更多工作以加快秘鲁牛系统的育种进程。