Next Generation Sequencing (NGS) Based Variation Analysis: A New Practical Biomarker for Beef Tenderness Assessment

Evaluation of some meat quality attributes using genetic analysis is steadily increasing. PCR based targeted variation analysis is one of the most commonly preferred techniques for this purpose. Recently, Next Generation Sequencing insert ignore into journalissuearticles values(NGS); method has drawn considerable attention because of its’ high analysis capacity. The purpose of the current study was to determine variations in CAST gene from Brangus and Simmental cattle by performing whole gene sequencing using NGS, and to investigate the potential of NGS method in evaluating meat tenderness based on the high genomic data it provides. Whole gene sequence analysis was performed on Calpastatin insert ignore into journalissuearticles values(CAST); gene of samples acquired from 52 Brangus and 52 Simmental beef cattle breeds using NGS method, and the variations detected were evaluated in terms of their potential in measuring meat tenderness and quality. NGS outputs were analyzed in Ensemble “cow” database platform and 13 variations were detected. One of these variations insert ignore into journalissuearticles values(EXON 8 c.439C>G/ p.L147V ); was evaluated as undeclared before. In 20 Brangus cattle and in 9 Simmental cattle, no variations were detected whereas 6 variations insert ignore into journalissuearticles values(V1, V2, V5, V8, V10 and V13); were found significantly different insert ignore into journalissuearticles values(p<0.05); based on their distribution in breeds.