Please use this identifier to cite or link to this item: https://pgc-snia.inia.gob.pe:8443/jspui/handle/pubitem/2465
Title: Genetic diversity and population structure of a Peruvian cattle herd using SNP data
Authors: Corredor Arizapana, Flor Anita 
Figueroa Venegas, Deyanira Antonella
Estrada Cañari, Richard
Salazar Coronel, Wilian 
Quilcate Pairazamán, Carlos Enrique 
Vásquez Pérez, Héctor Vladimir
Gonzales Malca, Jhony Alberto 
Maicelo Quintana, Jorge Luis
Medina Morales, Percy Edilberto
Arbizu Berrocal, Carlos Irvin
Keywords: Cattle breeds;Genotypes;Diversity;Genomics;Next generation sequencing
Issue Date: 10-Mar-2023
Publisher: Frontiers Media S.A.
Source: Corredor F., Figueroa D., Estrada R., Salazar W., Quilcate C., Vásquez H., Gonzales J., Maicelo J., Medina P., & Arbizu C. (2023) Genetic diversity and population structure of a Peruvian cattle herd using SNP data. Frontiers in genetics, 14. doi: 10.3389/fgene.2023.1073843
Journal: urn:issn:1664-8021 
Series/Report no.: Frontiers in Genetics
Abstract: 
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 (N = 9), Braunvieh (N = 9), Gyr (N = 5), and Simmental (N = 15) breeds. Additionally, samples from a locally adapted creole cattle, the Arequipa Fighting Bull (AFB, N = 9), were incorporated. Female individuals were genotyped with the GGPBovine100K and ma les 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 (FST) 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 Bos indicus (Brahman and Gyr) and B. taurus breeds (Braunvieh, Simmental, and AFB). Simmental and Braunvieh grouped closely with the AFB cattle. Similar results were obtained for the population structure analysis with K = 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.
URI: https://hdl.handle.net/20.500.12955/2126
https://pgc-snia.inia.gob.pe:8443/jspui/handle/pubitem/2465
ISSN: 1664-8021
DOI: https://doi.org/10.3389/fgene.2023.1073843
Rights: info:eu-repo/semantics/openAccess
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