What functional proteomic and biochemical analysis tell us about animal stress in beef?

Abstract

Animal management practices may influence the animal's susceptibility to stress, with detrimental effects on the ultimate meat quality. In this field, proteomics is a promising tool that reveals the biological pathways underpinning the effect of animal's pre-slaughter stress (PSS) on the ultimate meat quality. The objective of this work was to study the effect of a pre-slaughter procedure that may promote stress, such as mixing unfamiliar animals during the transport and lairage period, on the post-mortem muscle proteome of young bulls reared under two different farm management systems (Intensive or Extensive). Comparative proteomics and biochemical analysis reveal the effect of PSS on biochemical pathways involved in the meat colour development, muscle redox status, energy metabolism and autophagy. This work highlights the potential of some muscle proteins such as Beclin-1 (autophagy marker), CKM (biomarker of energy transduction) and proteins of the energy metabolism (ALDOA, PYGM, PGM1, PKM, GPI) as potential biomarkers to discriminate beef samples according to the incidence of PSS. SIGNIFICANCE: Meat scientists are interested in the study of individual animal-based measurements that allow the detection of stress situations which could have negative effects on meat quality. In this context, the mechanisms underlying the adverse effects of pre-slaughter stress on the post-mortem muscle metabolism need to be elucidated in order to understand how animal stress may influence the conversion of muscle into meat. In this work, the study of proteome changes in the post-mortem muscle has allowed the identification of significant biomarkers of these processes that could be used as tools for detecting inappropriate strategies that may induce increased animal stress and, in consequence, may compromise the ultimate beef quality.

Keywords: Extensive management; Intensive management; Mixing unfamiliar animals; Post-mortem muscle metabolism; Sarcoplasmic subproteome; Stress.