Towards the discovery of goat meat quality biomarkers using label-free proteomics - INRAE - Institut national de recherche pour l’agriculture, l’alimentation et l’environnement Access content directly
Journal Articles Journal of Proteomics Year : 2023

Towards the discovery of goat meat quality biomarkers using label-free proteomics


This study aimed to identify for the first time protein biomarkers of meat quality traits from Longissimus thoracis (LT) muscle of goats (Capra hircus). Male goats of similar age and weight reared under extensive rearing conditions were used to relate the LT muscle proteome with multiple meat quality traits. The early post-mortem muscle proteome analyzed using label-free proteomics was compared among three texture clusters built using hierarchical clustering analysis. Twenty-five proteins were differentially abundant and their mining using bioinformatics revealed three major biological pathways to be involved: 10 muscle structure proteins (MYL1, MYL4, MYLPF, MYL6B, MYH1, MYH2, ACTA1, ACTBL2, FHL1 and MYOZ1); 6 energy metabolism proteins (ALDOA, PGAM2, ATP5F1A, GAPDH, PGM1 and ATP5IF1), and two heat shock proteins: HSPB1 (small) and HSPA8 (large). Seven other miscellaneous proteins belonging to pathways such as regulation, proteolysis, apoptosis, transport and binding, tRNA processing or calmodulin-binding were further identified to play a role in the variability of goat meat quality. The differentially abundant proteins were correlated with the goat meat quality traits in addition to multivariate regression models built to propose the first regression equations of each quality trait. This study is the first to highlight in a multi-trait quality comparison the early post-mortem changes in the goat LT muscle proteome. It also evidenced the mechanisms underpinning the development of several quality traits of interest in goat meat production along the major biochemical pathways at interplay.
Fichier principal
Vignette du fichier
Lamri et al. 2023_J Proteomics.pdf (2.14 Mo) Télécharger le fichier
Origin : Files produced by the author(s)
Licence : CC BY NC ND - Attribution - NonCommercial - NoDerivatives

Dates and versions

hal-04020965 , version 1 (12-09-2023)



Melisa Lamri, Antonella Della Malva, Djamel Djenane, María López-Pedrouso, Daniel Franco, et al.. Towards the discovery of goat meat quality biomarkers using label-free proteomics. Journal of Proteomics, 2023, 278, pp.104868. ⟨10.1016/j.jprot.2023.104868⟩. ⟨hal-04020965⟩


7 View
3 Download



Gmail Facebook Twitter LinkedIn More