Computational Analysis of Physical and Chemical Properties of the GDF9Protein of Goat

Abstract

As essential growth factors and receptors in follicular development in the ovaries, different mutations in genes of the transforming growth factor -β (TGFβ) superfamily have been shown to affect ovulation rate in sheep and goat. This study aimed at investigating computationally, the molecular genetic variation of the GDF9 protein of goats. A total of 8 GDF9 protein of goats were retrieved from the GENBank. The GDF9 gene is one of the ovary derived transforming growth factor -β (TGFβ) super family, the genes code for proteins chemical parameters of the proteins was analyzed. The secondary structure of GDF9 protein was also predicted. Analysis of amino acid composition indicates leucine as having the highest percentage (11.0%) while selenocysteine and pyrrolysine have the lowest percentage (0.0%). Secondary structure indicates 16.56% extended strand, 30.0% alpha helix, 5.74$ beta turn and 4.68% randomized coil. Study of the GDF9 gene would contribute to increase production efficiency and provide knowledge about fertility and genetic disorders associated with reproduction.