Effect of breed and diet on the M. longissimus thoracis et lumborum transcriptome of steers divergent for residual feed intake

Improving cattle feed efficiency through selection of residual feed intake (RFI) is a widely accepted approach to sustainable beef production. A greater understanding of the molecular control of RFI in various breeds offered contrasting diets is necessary for the accurate identification of feed efficient animals and will underpin accelerated genetic improvement of the trait. The aim of this study was to determine genes and biological processes contributing to RFI across varying breed type and dietary sources in skeletal muscle tissue. Residual feed intake was calculated in Charolais and Holstein-Friesian steers across multiple dietary phases (phase-1: high concentrate (growing-phase); phase-2: zero-grazed grass (growing-phase); phase-3: high concentrate (finishing-phase). Steers divergent for RFI within each breed and dietary phase were selected for muscle biopsy collection, and muscle samples subsequently subjected to RNAseq analysis. No gene was consistently differentially expressed across the breed and diet types examined. However, pathway analysis revealed commonality across breeds and diets for biological processes including fatty acid metabolism, immune function, energy production and muscle growth. Overall, the lack of commonality of individual genes towards variation in RFI both within the current study and compared to the published literature, suggests other genomic features warrant further evaluation in relation to RFI.

Automated summary

Improving cattle feed efficiency through selection of residual feed intake (RFI) is important for sustainable beef production. This study aimed to determine the genes and biological processes contributing to RFI in different breeds and diets. While no consistently differentially expressed gene was found, common biological processes including fatty acid metabolism, immune function, energy production, and muscle growth were identified. Further evaluation of other genomic features is needed to better understand RFI.