Perfil proteômico muscular de bovinos inteiros da raça Nelore / Muscle proteomic profile of Nellore bulls
AUTOR(ES)
Cristina Tschorny Moncau
FONTE
IBICT - Instituto Brasileiro de Informação em Ciência e Tecnologia
DATA DE PUBLICAÇÃO
16/07/2012
RESUMO
The present work aimed to study beef quality (Longissimus dorsi) from Nellore bull through two-dimensional proteomic analysis. For this purpose, two specific objectives were proposed: (i) to study the proteolysis of meat at different aging times, if 24 hours, seven and 14 days, and (ii) to study the protein profile of meat from Nellore bull with contrasting genotypes for tenderness at different aging times (24 hours, seven and 14 days), associated with molecular markers CAPN4751 (μ-calpain) and UOGCAST1 (calpastatin). Blood samples were collected for genomic analyses. For electrophoretic analysis and tenderness, samples aged for 24 hours, seven and 14 days were collected. The characterization and determination of genotypes polymorphic (SNP) markers for CAPN4751 and UOGCAST1 were performed using real time PCR. Six samples of animals pools were set up to carry out two-dimensional electrophoresis. Statistical analyzes were performed in the package Statistical Analysis System (SAS). 256 spots were found in common in the analysis of proteolysis, with 25 spots significant. We found that 13 spots accounted for 73% of the variation in tenderness during aging. Analyses of variance of the intensity of expression for the normalized volumes (IENV), 21 spots indicated significant (P<0,05) for the markers CAPN4751 and UOGCAST1. Multiple regressions analysis to significant spots showed to some spots, in addition to the markers studied may predict meat tenderness at 14 days of aging. Therefore, the assessments will identify the spots differentially expressed proteins, aiding in better understanding the complex mechanism that determines the softness of the meat.
ASSUNTO(S)
gado nelore maciez da carne marcador molecular molecular marker nellore cattle tenderness proteólise proteolysis
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