Cross-population selection signatures in Canchim composite beef cattle

PLoS One. 2022 Apr 1;17(4):e0264279. doi: 10.1371/journal.pone.0264279. eCollection 2022.

Abstract

Analyses of livestock genomes have been used to detect selection signatures, which are genomic regions associated with traits under selection leading to a change in allele frequency. The objective of the present study was to characterize selection signatures in Canchim composite beef cattle using cross-population analyses with the founder Nelore and Charolais breeds. High-density single nucleotide polymorphism genotypes were available on 395 Canchim representing the target population, along with genotypes from 809 Nelore and 897 Charolais animals representing the reference populations. Most of the selection signatures were co-located with genes whose functions agree with the expectations of the breeding programs; these genes have previously been reported to associate with meat quality, as well as reproductive traits. Identified genes were related to immunity, adaptation, morphology, as well as behavior, could give new perspectives for understanding the genetic architecture of Canchim. Some selection signatures identified genes that were recently introduced in Canchim, such as the loci related to the polled trait.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • Cattle / genetics
  • Genome-Wide Association Study*
  • Genotype
  • Meat
  • Phenotype
  • Polymorphism, Single Nucleotide*
  • Selection, Genetic

Grants and funding

Ayrton Fernandes de Oliveira Bessa received a scholarship from the Coordenação de Aperfeiçoamento de Pessoal de Nível Superior – Brasil (CAPES) – Finance Code 001. Marcos Eli Buzanskas, Luciana Correia de Almeida Regitano, and Danísio Prado Munari helds productivity research fellowship from the National Council for Scientific and Technological Development (Conselho Nacional de Desenvolvimento Científico e Tecnológico, CNPq, Brazil). This study was financially supported by CNPq (project number 430379/2018-8) and by the Public Call n. 01/2021 Produtividade em Pesquisa PROPESQ/PRPG/UFPB (proposal code PVN13100-2020). The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.