in silico prediction of DGAT2 and BTN gene polymorphism through several computational tools

What is it about?

This study was conducted to describe the genetic polymorphism within the bovine diacylglycerol acyltransferase 2 (DGAT2) gene and 5′-UTR of butyrophilin (BTN) gene by several in vitro tools, as well as to predict their consequences using several in silico tools. The effect of the observed coding and noncoding SNPs was computationally analyzed. It was shown that the coding SNP, p.Ala7Val, was predicted to have functional consequences on the DGAT2 protein structure and function. Several outcomes were deduced from several noncoding SNPs in both genetic fragments studied. This study determines the pattern of polymorphism within the DGAT2 and BTN genes to conceive their consequences within Holstein breed.

Featured Image

Why is it important?

Our data analysis showed that Holstein cattle breed can be differentiated by SSCP using the previously described DGAT2 and BTN genetic fragments. Likewise, the results of our study suggest that the application of computational tools might provide an indispensable approach to select functional SNPs in both DGAT2 and BTN loci. The stepwise prediction of the effect of the DGAT2 p.Ala7Val nsSNP (SIFT > PANTHER > SNAP2 >I-Mutant 2.0), the prediction matching among the tools and the trajectory analysis revealed that this p.Ala7Val nsSNP is damaging and highly deleterious nsSNP affecting the stability of the DGAT2 protein.

Perspectives