Selection signatures in Canchim beef cattle
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Data
2016-05-05
Autores
Urbinati, Ismael [UNESP]
Stafuzza, Nedenia Bonvino [UNESP]
Oliveira, Marcos Túlio [UNESP]
Chud, Tatiane Cristina Seleguim [UNESP]
Higa, Roberto Hiroshi
Regitano, Luciana Correia de Almeida
de Alencar, Maurício Mello
Buzanskas, Marcos Eli [UNESP]
Munari, Danísio Prado [UNESP]
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Resumo
Background: Recent technological advances in genomics have allowed the genotyping of cattle through single nucleotide polymorphism (SNP) panels. High-density SNP panels possess greater genome coverage and are useful for the identification of conserved regions of the genome due to selection, known as selection signatures (SS). The SS are detectable by different methods, such as the extended haplotype homozygosity (EHH); and the integrated haplotype score (iHS), which is derived from the EHH. The aim of this study was to identify SS regions in Canchim cattle (composite breed), genotyped with high-density SNP panel. Results: A total of 687,655 SNP markers and 396 samples remained for SS analysis after the genotype quality control. The iHS statistic for each marker was transformed into piHS for better interpretation of the results. Chromosomes BTA5 and BTA14 showed piHS > 5, with 39 and nine statistically significant SNPs (P < 0.00001), respectively. For the candidate selection regions, iHS values were computed across the genome and averaged within non-overlapping windows of 500 Kb. We have identified genes that play an important role in metabolism, melanin biosynthesis (pigmentation), and embryonic and bone development. Conclusions: The observation of SS indicates that the selection processes performed in Canchim, as well as in the founder breeds (i.e. Charolais), are maintaining specific genomic regions, particularly on BTA5 and BTA14. These selection signatures regions could be associated with Canchim characterization.
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Palavras-chave
Composite breed, Extended haplotype homozygosity, Genomics, Single nucleotide polymorphism
Como citar
Journal of Animal Science and Biotechnology, v. 7, n. 1, 2016.