International Journal of Advanced Biochemistry Research

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Vol. 8, Special Issue 1, Part K (2024)

Computational Prediction of deleterious mutation in ACTN3 gene in cattle

Author(s): Ayushi Singh, Gaurav Patel, Ashok Chaudhary and Priyanshi Yadav
Abstract: Actinin Alpha 3 gene (ACTN3) has profound role in muscle development and feed efficiency. Therefore, it forms fundamentally important gene in whole mammalian class including beef cattle. Non-synonymous mutations in ACTN3 gene in human has previously been known to be usually non-tolerant in nature and causes decrease in muscle mass. To extend the knowledge for bovine ACTN3 gene led to the formulation of in-silico prediction of mutations in the present study. In this study, about 708 mutations were found to be non-synonymous initially and were filtered to eight SNPs using SIFT score. Out of which, one nsSNP (rs723349530, Y392D) was found to have significant deleterious effect as per different scores and algorithms. Protein interaction network revealed connection with proteins having functions on muscle twitching and strength. This is one of its first attempt to characterise non-synonymous mutation of ACTN3 gene in bovine genome reflecting its importance in muscle growth and hereby, feed efficiency in beef cattle.
Pages: 832-834  |  165 Views  64 Downloads
How to cite this article:
Ayushi Singh, Gaurav Patel, Ashok Chaudhary, Priyanshi Yadav. Computational Prediction of deleterious mutation in ACTN3 gene in cattle. Int J Adv Biochem Res 2024;8(1S):832-834. DOI: 10.33545/26174693.2024.v8.i1Sk.452
International Journal of Advanced Biochemistry Research

International Journal of Advanced Biochemistry Research

International Journal of Advanced Biochemistry Research
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