Identification of pleiotropic key-regulatory genes related to economically relevant traits in beef cattle through systems biology approach P.A.S. Fonseca1,2, S. Id-Lahoucine1, A. Reverter3, J. F. Medrano4, M.R.S. Fortes5, J. Casellas6, F. Miglior1, L. Brito1, M.R.S. Carvalho2, F.S. Schenkel1, L.T. Nguyen5, L.R. Porto-Neto3, M.G. Thomas7, & A. Cánovas1 In the this investigation, a multi-breed and multi-omics approach was applied to study the pleiotropic effect from a list of key regulatory genes obtained from three independent studies evaluating fertility traits in beef cattle. A pleiotropic map for 32 traits (including growth, feed intake, carcass, meat quality, and reproduction) and a data-mining analysis using the CattleQTLdb were performed to identify candidate genes. This approach allowed the identification of genes with pleiotropic effects related to crucial biological process for fertility, production and health traits such as IYD, RBM20 and PLA2G4E. These genes will be further investigated to better understand the biological processes related with these complex traits. These genes could assist in improving selection decisions and reducing the frequency of undesirable genotypes. Keywords: pleiotropic markers; production and reproduction traits, systems biology, multi-omics, beef cattle.
Proceedings of the World Congress on Genetics Applied to Livestock Production, Volume Molecular Genetics 2, , 736, 2018
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