Autores
R.M.O. Silva, N.B.Stafuzza, B.O.Fragomeni, G.M.F. Camargo, T.M.Ceacero, J.N.S.G.Cyrillo, F. Baldi, A.A. Boligon, M.E.Z. Mercadante, D.L. Lourenço, I. Misztal, L.G. Alburquerque
Resumo
The purpose of this study was to identify genomic regions associated
with carcass traits in an experimental Nelore cattle population. The
studied data set contained 2,306 ultrasound records for longissimus
muscle area (LMA), 1,832 for backfat thickness (BF), and 1,830 for rump
fat thickness (RF). A high-density SNP panel (BovineHD BeadChip assay
700k, Illumina Inc., San Diego, CA) was used for genotyping. After
genomic data quality control, 437,197 SNPs from 761 animals were
available, of which 721 had phenotypes for LMA, 669 for BF, and 718 for
RF. The SNP solutions were estimated using a single-step genomic BLUP
approach (ssGWAS), which calculated the variance for windows of 50
consecutive SNPs and the regions that accounted for more than 0.5% of
the additive genetic variance were used to search for candidate genes.
The results indicated that 12, 18, and 15 different windows were
associated to LMA, BF, and RF, respectively. Confirming the polygenic
nature of the studied traits, 43, 65, and 53 genes were found in those
associated windows, respectively for LMA, BF, and RF. Among the
candidate genes, some of them, which already had their functions
associated with the expression of energy metabolism, were found
associated with fat deposition in this study. In addition, ALKBH3 and HSD17B12
genes, which are related in fibroblast death and metabolism of
steroids, were found associated with LMA. The results presented here
should help to better understand the genetic and physiologic mechanism
regulating the muscle tissue deposition and subcutaneous fat cover
expression of Zebu animals. The identification of candidate genes should
contribute for Zebu breeding programs in order to consider carcass
traits as selection criteria in their genetic evaluation.
Fonte: PLos ONE, v.12, n.1, p.1-14, 2017.
DOI: http://doi.org/10.1371/journal.pone.0169860
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