In silico Characterization and Homology Modelling of Potato Leaf Roll Virus (PLRV) Coat Protein
Jitesh Kumar, Tushar Ranjan, Ravi Ranjan Kumar, Mohammad Ansar, Kumari Rajani, Mahesh Kumar, Vinod Kumar, Anand Kumar
Current Journal of Applied Science and Technology · pp. 1–8 · Published 5 Mar 2019
10.9734/cjast/2019/v33i230054Abstract
Polerovirus (Family-Luteoviridae) are one of the most destructive viruses causing detrimental diseases in vegetable crops in tropical regions of the world including India. Four species viz. potato leaf roll virus (PLRV), potato virus Y(PVY), potato virus X(PVX) and potato virus S(PVS) are known to cause different diseases in potato crops. Of the various viral diseases inflicting potato crops, potato leaf roll disease is the most destructive and widely distributed. They cause huge agro-economical losses (90%) worldwide and thus are the subjects of immense concern. PLRV is a phloem-limited spherical virus transmitted by several aphid species in a persistent manner. A study was performed in order to detect the infection of potato leaf roll virus from different regions of Bihar. These infected samples were diagnosed first using DAS-ELISA for the PLRV infection and later, coat protein was amplified and sequenced from PLRV positive sample. Phylogenetic tree deduced based on the nucleotide sequence of the coat protein gene gene showed a distinct divergence of PLRV isolates in two major clades. The molecular weight of the predicted protein sequence of 203 amino acids was found 22617.06 daltons while theoretical pI was 5.22. The extinction coefficient of predicted coat protein was 0.836. An attempt was taken in order to illustrate the 3D model of the coat protein which was further verified using Ramachandran plot. The model structure obtained using Swiss-Model had 92.9% residues in the most favourable region of the Ramachandran plot (Fig. 3c) and showed Z-score for bond angles, chi-1/chi-2 correlation and Ramachandran Z-score were 1.457, 1.773 and -2.633 respectively which exhibited considerably good model quality.
Cited by 2
Mootaz M. Salman, Zaid Al-Obaidi, Philip Kitchen · International Journal of Molecular Sciences · 2021
Sayan Saha, Suraj Kumar Mandal, Shankar Prasad Kanaujia · Journal of Biomolecular Structure and Dynamics · 2024
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