Genetic diversity and population structure of a Peruvian cattle herd using SNP data

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 nucl...

Descripción completa

Detalles Bibliográficos
Autores principales: 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
Formato: info:eu-repo/semantics/article
Lenguaje:Inglés
Publicado: Frontiers Media S.A. 2023
Materias:
Acceso en línea:https://hdl.handle.net/20.500.12955/2126
https://doi.org/10.3389/fgene.2023.1073843
_version_ 1855028712641134592
author 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
author_browse Arbizu Berrocal, Carlos Irvin
Corredor Arizapana, Flor Anita
Estrada Cañari, Richard
Figueroa Venegas, Deyanira Antonella
Gonzales Malca, Jhony Alberto
Maicelo Quintana, Jorge Luis
Medina Morales, Percy Edilberto
Quilcate Pairazamán, Carlos Enrique
Salazar Coronel, Wilian
Vásquez Pérez, Héctor Vladimir
author_facet 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
author_sort Corredor Arizapana, Flor Anita
collection Repositorio INIA
description 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.
format info:eu-repo/semantics/article
id INIA2126
institution Institucional Nacional de Innovación Agraria
language Inglés
publishDate 2023
publishDateRange 2023
publishDateSort 2023
publisher Frontiers Media S.A.
publisherStr Frontiers Media S.A.
record_format dspace
spelling INIA21262023-04-21T19:57:00Z Genetic diversity and population structure of a Peruvian cattle herd using SNP data 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 Cattle breeds Genotypes Diversity Genomics Next generation sequencing https://purl.org/pe-repo/ocde/ford#4.04.01 Cattle breeds Species diversity Genomics High-throughput sequencing Population structure Single nucleotide polymorphism 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. 2023-03-31T22:15:14Z 2023-03-31T22:15:14Z 2023-03-10 info:eu-repo/semantics/article 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 1664-8021 https://hdl.handle.net/20.500.12955/2126 https://doi.org/10.3389/fgene.2023.1073843 eng urn:issn:1664-8021 Frontiers in Genetics info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ application/pdf application/pdf Frontiers Media S.A. CH Instituto Nacional de Innovación Agraria Repositorio Institucional - INIA
spellingShingle Cattle breeds
Genotypes
Diversity
Genomics
Next generation sequencing
https://purl.org/pe-repo/ocde/ford#4.04.01
Cattle breeds
Species diversity
Genomics
High-throughput sequencing
Population structure
Single nucleotide polymorphism
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
Genetic diversity and population structure of a Peruvian cattle herd using SNP data
title Genetic diversity and population structure of a Peruvian cattle herd using SNP data
title_full Genetic diversity and population structure of a Peruvian cattle herd using SNP data
title_fullStr Genetic diversity and population structure of a Peruvian cattle herd using SNP data
title_full_unstemmed Genetic diversity and population structure of a Peruvian cattle herd using SNP data
title_short Genetic diversity and population structure of a Peruvian cattle herd using SNP data
title_sort genetic diversity and population structure of a peruvian cattle herd using snp data
topic Cattle breeds
Genotypes
Diversity
Genomics
Next generation sequencing
https://purl.org/pe-repo/ocde/ford#4.04.01
Cattle breeds
Species diversity
Genomics
High-throughput sequencing
Population structure
Single nucleotide polymorphism
url https://hdl.handle.net/20.500.12955/2126
https://doi.org/10.3389/fgene.2023.1073843
work_keys_str_mv AT corredorarizapanafloranita geneticdiversityandpopulationstructureofaperuviancattleherdusingsnpdata
AT figueroavenegasdeyaniraantonella geneticdiversityandpopulationstructureofaperuviancattleherdusingsnpdata
AT estradacanaririchard geneticdiversityandpopulationstructureofaperuviancattleherdusingsnpdata
AT salazarcoronelwilian geneticdiversityandpopulationstructureofaperuviancattleherdusingsnpdata
AT quilcatepairazamancarlosenrique geneticdiversityandpopulationstructureofaperuviancattleherdusingsnpdata
AT vasquezperezhectorvladimir geneticdiversityandpopulationstructureofaperuviancattleherdusingsnpdata
AT gonzalesmalcajhonyalberto geneticdiversityandpopulationstructureofaperuviancattleherdusingsnpdata
AT maiceloquintanajorgeluis geneticdiversityandpopulationstructureofaperuviancattleherdusingsnpdata
AT medinamoralespercyedilberto geneticdiversityandpopulationstructureofaperuviancattleherdusingsnpdata
AT arbizuberrocalcarlosirvin geneticdiversityandpopulationstructureofaperuviancattleherdusingsnpdata