Reverse phase protein arrays for the identification/validation of biomarkers of beef texture and their use for early classification of carcasses

Mohammed Gagaoua (1) , Muriel Bonnet (1) , Marie-Pierre Ellies (1) , Leanne de Koning (2) , Brigitte Picard (1)

1 UMRH - Unité Mixte de Recherche sur les Herbivores - UMR 1213
2 Plateforme RPPA

The validation of biomarkers and tools for the prediction of beef texture remains a challenging task. In this study, reverse phase protein arrays (RPPA) quantified 29 protein biomarkers in the m. Longissimus thoracis of Charolais cattle sampled early post-mortem. Myosin heavy chain 1 (MHC1, slow-oxidative fibers) and Retinal dehydrogenase 1 (ALDH1A1, oxidative enzyme) discriminated between tender and juicy vs. tough meat with residues classes and are validated as prime biomarkers of beef texture. Several proteins belonging to energy metabolism, heat shock and oxidative stress, cytoskeletal, cell signaling and apoptosis were related with tenderness. Among the unusual proteins, four and a half LIM domains 1 (FHL1) and Tripartite motif protein 72 (TRIM72) correlated respectively negatively and positively with beef tenderness. Principal component regression was used for the first time to explain beef texture traits using biomarkers. The results are very promising as they revealed sophisticated mechanisms behind the tenderizing process.

Keywords: biomarker; RPPA; meat texture; young bull; relationships; clustering; bull calf; carcass

Keywords: taurillon; classification; carcasse; texture de la viande; biomarqueur; bœuf

Domains: Life Sciences [q-bio]

Mohammed Gagaoua, Muriel Bonnet, Marie-Pierre Ellies, Leanne de Koning, Brigitte Picard. Reverse phase protein arrays for the identification/validation of biomarkers of beef texture and their use for early classification of carcasses. Food Chemistry, 2018, 250, pp.245-252. ⟨10.1016/j.foodchem.2018.01.070⟩. ⟨hal-01684896⟩