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:Heat stress is a critical environmental factor that adversely affects the health and productivity of cattle. It leads to substantial declines in productivity and compromises immune function, thereby increasing susceptibility to disease. Crossbred cattle (Bos indicus × Bos taurus) are known for their enhanced productivity. However, they are relatively vulnerable to environmental stressors. In recent years, the intensification of global warming and associated climatic extremes has further heightened their risk of heat stress. In this context, the present study investigated the underlying biological responses to heat stress through genome-wide expression analysis in Vrindavani crossbred cattle. The results identified sets of genes activated during heat stress and subsequent functional characterization revealed key molecular mechanisms of thermal stress response in these animals.