Project description:To identify transcriptional markers for beef traits related to meat tenderness and moisture, we measured the transcriptome of the Longissimus dorsi skeletal muscle in 10 Korean native cattle (KNC). We analyzed the correlation between the beef transcriptome and measurements of four different beef traits, shear force (SF), water holding capacity (WHC), cooking loss (CL), and loin eye area (LEA). We obtained non-overlapping and unique panels of genes showing strong correlations (|r| > 0.8) with SF, WHC, CL, and LEA, respectively. Functional studies of these genes indicated that SF was mainly related to energy metabolism, and LEA to rRNA processing. Interestingly, our data suggested that WHC is influenced by protein metabolism. Overall, the skeletal muscle transcriptome pointed to the importance of energy and protein metabolism in determining meat quality after the aging process. The panels of transcripts for beef traits may be useful for predicting meat tenderness and moisture. Experiment Overall Design: Gene expression profiles were correlated with beef traits measured at the same cattle.
Project description:Transcriptional profiling of bovine skeletal muscle comparing expression differences of a population of beef cattle selected for divergent response (shear force residuals) to post-mortem treatment (electrical stimulation)
Project description:Beef tenderness is a complex trait of economic importance for the beef industry. Understanding the genetic and epigenetic mechanisms underlying this trait may help improve the accuracy of breeding programs and deliver a better product quality to consumers. However, little is known about epigenetic effects in the muscle of Bos taurus and their implications in tenderness, and no studies have been conducted in Bos indicus. Therefore, we analyzed Reduced Representation Bisulfite Sequencing (RRBS) to search for differences in the methylation profile of Bos indicus skeletal muscle with extreme values for beef tenderness (tender = 6 animals, tough = 6 animals).
