01936naa a2200325 a 450000100080000000500110000800800410001902400350006010000180009524501540011326000090026752009950027665000120127165000190128365000140130265000130131665000160132965000190134565300350136465300160139965300170141565300100143270000200144270000180146270000200148070000180150070000260151870000230154477300430156721060632019-11-29       2019    bl uuuu     u00u1 u    #d7 a10.1186/s12864-018-5345-y2DOI1 aVIGNATO B. S.  aGene co-expression networks associated with carcass traits reveal new pathways for muscle and fat deposition in Nelore cattle.h[electronic resource]  c2019  aPositively 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.  aBackfat  aBeef carcasses  aThickness  aCarcaça  aGado Nelore  aGordura Animal  aFunctional enrichment analysis  aRibeye area  aRNA-Seq data  aWGCNA1 aCOUTINHO, L. L.1 aPOLETI, M. D.1 aCESAR, A. S. M.1 aMONCAU, C. T.1 aREGITANO, L. C. de A.1 aBALIEIRO, J. C. C.  tGenomicsgv. 20, n. 32, p. 2-13, 2019.