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|Research center of Embrapa/Collection:||Embrapa Pecuária Sudeste - Artigo em periódico indexado (ALICE)|
|Type of Material:||Artigo em periódico indexado (ALICE)|
|Authors:||VIGNATO B. S.|
COUTINHO, L. L.
POLETI, M. D.
CESAR, A. S. M.
MONCAU, C. T.
REGITANO, L. C. de A.
BALIEIRO, J. C. C.
|Additional Information:||Bárbara Silva-Vignato, USP; Luiz L. Coutinho, USP; Mirele D. Poleti, USP; Aline S. M. Cesar, USP; Cristina T. Moncau, Universidade Federal de Lavras; LUCIANA CORREIA DE ALMEIDA REGITANO, CPPSE; Júlio C. C. Balieiro, USP.|
|Title:||Gene co-expression networks associated with carcass traits reveal new pathways for muscle and fat deposition in Nelore cattle.|
|Publisher:||Genomics, v. 20, n. 32, p. 2-13, 2019.|
|Keywords:||Functional enrichment analysis|
|Description:||Positively correlated with carcass weight and animal growth, the ribeye area (REA) and the backfat thickness (BFT) are economic important carcass traits, which impact directly on producer's payment. The selection of these traits has not been satisfactory since they are expressed later in the animal's life and multigene regulated. So, next-generation technologies have been applied in this area to improve animal's selection and better understand the molecular mechanisms involved in the development of these traits. Correlation network analysis, performed by tools like WGCNA (Weighted Correlation Network Analysis), has been used to explore gene-gene interactions and gene-phenotype correlations. Thus, this study aimed to identify putative candidate genes and metabolic pathways that regulate REA and BFT by constructing a gene co-expression network using WGCNA and RNA sequencing data, to better understand genetic and molecular variations behind these complex traits in Nelore cattle.|
|Appears in Collections:||Artigo em periódico indexado (CPPSE)|
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