Interaction estimation of pathogenicity determinant protein βC1 encoded by Cotton leaf curl Multan Betasatellite with Nicotiana benthamiana Nuclear Transport Factor 2

Author:

Nasim Ammara1,Rashid Muhammad Abdul Rehman1,Hussain Khadim12,Al-Shahwan Ibrahim Mohammed2,Al-Saleh Mohammed Ali2

Affiliation:

1. Bioinformatics and Biotechnology, Government College University Faisalabad, Faisalabad, Punjab, Pakistan

2. Plant Protection Department, College of Food Sciences and Agriculture Sciences, King Saud University, Riyadh, Saudi Arabia

Abstract

Background Begomovirus is one of the most devastating pathogens that can cause more than 90% yield loss in various crop plants. The pathogenicity determinant βC1, located on the betasatellite associated with monopartite begomoviruses, alters the host signaling mechanism to enhance the viral disease phenotype by undermining the host immunity. The understanding of its interacting proteins in host plants to develop disease symptoms such as curly leaves, enations, vein swelling, and chlorosis is crucial to enhance the disease resistance in crop plants. The current study was designed to reveal the contribution of βC1 in disease pathogenicity and to unveil potential interacting partners of βC1 protein in the model plant Nicotiana benthamiana. Methods The βC1 gene was cloned in pGKBT7 and used as bait against the cDNA library of N. benthamiana and its pathogenesis was tested against the healthy plant and the plants infiltrated with empty vectors. The yeast two-hybrid-based screening was performed to find the interacting factors. Successful interacting proteins were screened and evaluated in various steps and confirmed by sequence analysis. The three-dimensional structure of the Nuclear Transport Factor 2 (NTF2) protein was predicted, and in-silico protein-protein interaction was evaluated. Furthermore, protein sequence alignment and molecular phylogenetic analysis were carried out to identify its homologues in other related families. In-silico analyses were performed to validate the binding affinity of βC1 protein with NTF2. The 3D model was predicted by using I-TASSER and then analyzed by SWISS MODEL-Workspace, RAMPAGE, and Verify 3D. The interacting amino acid residues of βC1 protein with NTF2 were identified by using PyMOL and Chimera. Results The agroinfiltrated leaf samples developed severe phenotypic symptoms of virus infection. The yeast-two-hybrid study identified the NTF2 as a strong interacting partner of the βC1. The NTF2 in Solanaceae and Nicotiana was found to be evolved from the Brassica and Gossypium species. The in-silico interaction studies showed a strong binding affinity with releasing energy value of −730.6 KJ/mol, and the involvement of 10 amino acids from the middle portion towards the C-terminus and five amino acid residues from the middle portion of βC1 to interact with six amino acids of NTF2. The study not only provided an insight into the molecular mechanism of pathogenicity but also put the foundation stone to develop the resistance genotypes for commercial purposes and food security.

Funder

The National Plan for Science, Technology, and Innovation

King Abdul-Aziz City for Science and Technology, Kingdom of Saudi Arabia

Publisher

PeerJ

Subject

General Agricultural and Biological Sciences,General Biochemistry, Genetics and Molecular Biology,General Medicine,General Neuroscience

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