Zhu Yao, Gagaoua Mohammed, Mullen Anne Maria, Kelly Alan L, Sweeney Torres, Cafferky Jamie, Viala Didier, Hamill Ruth M
Food Quality and Sensory Science Department, Teagasc Food Research Centre, Ashtown, D15 KN3K Dublin 15, Ireland.
School of Food and Nutritional Sciences, University College Cork, T12 K8AF Cork, Ireland.
Foods. 2021 Apr 27;10(5):952. doi: 10.3390/foods10050952.
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 (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 muscle.
牛肉嫩度在决定消费者总体喜好方面至关重要。为了更好地理解嫩度的潜在机制并能够对其进行预测,本研究旨在对年轻利木赞公牛的(LT)肌肉应用蛋白质组学方法,以鉴定候选蛋白质生物标志物。共有34种蛋白质在嫩肉组和老肉组之间表现出丰度差异。这些蛋白质属于与肌肉结构、能量代谢、热休克蛋白、氧化应激反应和细胞凋亡相关的生物学途径。此前已鉴定出23种假定的蛋白质生物标志物或其异构体为牛肉嫩度生物标志物,而11种是新发现的。使用回归分析预测剪切力值,MYOZ3(肌联蛋白3)、BIN1(桥接整合素-1)和OGN( mimecan)是回归模型中保留的主要蛋白质,共同解释了79%的变异性。本研究结果证实了现有知识,但也提供了新的见解,丰富了先前为(LT)肌肉提出的嫩度生物标志物。