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Genomic analysis of stayability in Nellore cattle

Barreto Amaral Teixeira, Daniela ; Alves Fernandes Júnior, Gerardo ; Beraldo Dos Santos Silva, Danielly ; Bermal Costa, Raphael ; Takada, Luciana ; Gustavo Mansan Gordo, Daniel ; Bresolin, Tiago ; Carvalheiro, Roberto ; Baldi, Fernando ; Galvão de Albuquerque, Lucia Zhang, Qin

PloS one, 2017-06, Vol.12 (6), p.e0179076-e0179076 [Periódico revisado por pares]

United States: Public Library of Science

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Título:
Genomic analysis of stayability in Nellore cattle
Autor: Barreto Amaral Teixeira, Daniela ; Alves Fernandes Júnior, Gerardo ; Beraldo Dos Santos Silva, Danielly ; Bermal Costa, Raphael ; Takada, Luciana ; Gustavo Mansan Gordo, Daniel ; Bresolin, Tiago ; Carvalheiro, Roberto ; Baldi, Fernando ; Galvão de Albuquerque, Lucia
Zhang, Qin
Assuntos: Age ; Analysis ; Animals ; Bayes Theorem ; Bayesian analysis ; Beef ; Beef cattle ; Biology and Life Sciences ; Breeding ; Cattle ; Central nervous system ; Chromosomes ; Density ; Economics ; Female ; Females ; Gene expression ; Genes ; Genetic aspects ; Genome ; Genomes ; Genomic analysis ; Genomics ; Genotype ; Growth factors ; Growth hormones ; Heritability ; Immunology ; Mathematical models ; Medicine and Health Sciences ; Models, Genetic ; Nervous system ; Ovarian cancer ; Parameter estimation ; Parameter identification ; Pedigree ; Phenotype ; Polymorphism, Single Nucleotide - genetics ; Pregnancy ; Profitability ; Reproduction - genetics ; Single nucleotide polymorphisms ; Single-nucleotide polymorphism ; Statistical inference ; Transcription ; Variance
É parte de: PloS one, 2017-06, Vol.12 (6), p.e0179076-e0179076
Notas: ObjectType-Article-1
SourceType-Scholarly Journals-1
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content type line 23
Competing Interests: The authors have declared that no competing interests exist.
Conceptualization: LGA DBAT GAFJ.Formal analysis: DBAT GAFJ DBSS RC.Funding acquisition: LGA.Investigation: DBAT GAFJ DBSS RBC LT DGMG TB RC FB LGA.Methodology: LGA GAFJ.Project administration: LGA.Writing – original draft: DBAT GAFJ DBSS LGA.
Descrição: Stayability, which can be defined as the probability of a cow calving at a certain age when given the opportunity, is an important reproductive trait in beef cattle because it is directly related to herd profitability. The objective of this study was to estimate genetic parameters and to identify possible genomic regions associated with the phenotypic expression of stayability in Nellore cows. The variance components were estimated by Bayesian inference using a threshold animal model that included the systematic effects of contemporary group and sexual precocity and the random effects of animal and residual. The SNP effects were estimated by the single-step genomic BLUP method using information of 2,838 animals (2,020 females and 930 sires) genotyped with the Illumina High-Density BeadChip Array (San Diego, CA, USA). The variance explained by windows formed by 200 consecutive SNPs was used to identify genomic regions of largest effect on the expression of stayability. The heritability was 0.11 ± 0.01 when A matrix (pedigree) was used and 0.14 ± 0.01 when H matrix (relationship matrix that combines pedigree information and SNP data) was used. A total of 147 candidate genes for stayability were identified on chromosomes 1, 2, 5, 6, 9 and 20 and on the X chromosome. New candidate regions for stayability were detected, most of them related to reproductive, immunological and central nervous system functions.
Editor: United States: Public Library of Science
Idioma: Inglês

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Genomic analysis of stayability in Nellore cattle

Barreto Amaral Teixeira, Daniela ; Alves Fernandes Júnior, Gerardo ; Beraldo Dos Santos Silva, Danielly ; Bermal Costa, Raphael ; Takada, Luciana ; Gustavo Mansan Gordo, Daniel ; Bresolin, Tiago ; Carvalheiro, Roberto ; Baldi, Fernando ; Galvão de Albuquerque, Lucia Zhang, Qin

United States: Public Library of Science

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