A Proteomic Study for the Discovery of Beef Tenderness Biomarkers and Prediction of Warner–Bratzler Shear Force Measured on Longissimus thoracis Muscles of Young Limousin-Sired Bulls
Author
Zhu, YaoGagaoua, Mohammed
Mullen, Anne Maria
Kelly, Alan L.
Sweeney, Torres
Cafferky, Jamie
Viala, Didier
Hamill, Ruth M.
Keyword
foodomicsbeef tenderness
bovine biomarkers
muscle
proteome
liquid chromatography-tandem mass spectrometry (LC-MS/MS)
Date
2021-04-27
Metadata
Show full item recordStatistics
Display Item StatisticsCitation
Zhu, Y.; Gagaoua, M.; Mullen, A.M.; Kelly, A.L.; Sweeney, T.; Cafferky, J.; Viala, D.; Hamill, R.M. A Proteomic Study for the Discovery of Beef Tenderness Biomarkers and Prediction of Warner–Bratzler Shear Force Measured on Longissimus thoracis Muscles of Young Limousin-Sired Bulls. Foods 2021, 10, 952. https://doi.org/10.3390/foods10050952Abstract
Beef tenderness is of central importance in determining consumers’ overall liking. To better understand the underlying mechanisms of tenderness and be able to predict it, this study aimed to apply a proteomics approach on the Longissimus thoracis (LT) muscle of young Limousin-sired bulls to identify candidate protein biomarkers. A total of 34 proteins showed differential abundance between the tender and tough groups. These proteins belong to biological pathways related to muscle structure, energy metabolism, heat shock proteins, response to oxidative stress, and apoptosis. Twenty-three putative protein biomarkers or their isoforms had previously been identified as beef tenderness biomarkers, while eleven were novel. Using regression analysis to predict shear force values, MYOZ3 (Myozenin 3), BIN1 (Bridging Integrator-1), and OGN (Mimecan) were the major proteins retained in the regression model, together explaining 79% of the variability. The results of this study confirmed the existing knowledge but also offered new insights enriching the previous biomarkers of tenderness proposed for Longissimus muscle.Funder
Teagasc and the Walsh Scholarship programme; BreedQuality project; Irish Department of Agriculture, Food, and the Marine; Mohammed Gagaoua is a Marie Skłodowska–Curie Career-FIT FellowGrant Number
2016022; 11/SF/311; 713654ae974a485f413a2113503eed53cd6c53
https://doi.org/10.3390/foods10050952
Scopus Count
Collections
The following license files are associated with this item:
- Creative Commons
Except where otherwise noted, this item's license is described as Attribution-NonCommercial-ShareAlike 4.0 International