International Journal of Fisheries and Aquatic Studies
2015, Vol. 2, Issue 5, Part D
Comparative and evolutionary analysis of Growth Hormone (GH) protein of Cyprinids using computational approachAuthor(s):
Dibyashree Swain, Kiran Dashrath Rasal, Pranati Swain, Prajna Pradhan, Jitendra Kumar Sundaray, Hirak Kumar Barman and Pallipuram JayasankarAbstract:
Growth hormone (GH) is an important polypeptide necessary for normal growth as well as development in fishes. Even though, GH has been well characterized in several fishes, lack of information on the structure GH protein. Recent advances of computational tools are helpful for developing structure using protein sequences using either homology modelling or de-novo modelling. In this study, we have used computational tools for three-dimensional structure prediction and analysis evolutionary profile of GH from 12 fishes belonging to cyprinids. The sequence analysis predicted GH polypeptide of 204-210 amino-acids, including a putative signal peptide of 1-22 hydrophobic residues and mature protein containing 183 amino-acids among cyprinid fishes. We could identify well conserved region among all the species, which states, that region maintained by evolution despite speciation. The evolutionaryrnanalysis was performed using CLC genomic workbench followed by a bootstrap test (100 replicates). A phylogenetic tree was depicting the relationship of various cyprinids GH protein sequences. We have generated 3D structure of GH protein of rohu using I-TASSER, which was further validated using SAVES server. The Procheck analysis depicted the Ramachandran plot consisting of 76.8% residues lies in the most favored regions. For understanding global network of GH, STRING9.1 speculated that, this protein interacting with several proteins, strong association with two proteins such as GHRa and GHRb. The present study revealed that GH protein level tends to be highly conserved across cyprinids. This work is also useful for in vivo study of structural and functional analysis of GH protein.Pages: 191-197 | 1035 Views 16 DownloadsDownload Full Article:
How to cite this article:
Dibyashree Swain, Kiran Dashrath Rasal, Pranati Swain, Prajna Pradhan, Jitendra Kumar Sundaray, Hirak Kumar Barman and Pallipuram Jayasankar. Comparative and evolutionary analysis of Growth Hormone (GH) protein of Cyprinids using computational approach. International Journal of Fisheries and Aquatic Studies. 2015; 2(5): 191-197.