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In silico modelling and characterization of eight blast resistance proteins in resistant and susceptible rice cultivars.

IR@CSIR-CFTRI

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Relation http://ir.cftri.com/14752/
https://doi.org/10.1186/s43141-020-00076-0
 
Title In silico modelling and characterization of
eight blast resistance proteins in resistant
and susceptible rice cultivars.
 
Creator Chandrakanth, R.
Sunil, L.
Sadashivaiah, L.
Devaki, N. S.
 
Subject 03 Proteins
01 Rice
 
Description Background: Nucleotide-binding site-leucine-rich repeat (NBS-LRR) resistance genes are the largest class of plant
resistance genes which play an important role in the plant defense response. These genes are better conserved
than others and function as a recognition-based immune system in plants through their encoded proteins.
Results: Here, we report the effect of Magnaporthe oryzae, the rice blast pathogen inoculation in resistant BR2655
and susceptible HR12 rice cultivars. Transcriptomic profiling was carried out to analyze differential gene expression
in these two cultivars. A total of eight NBS-LRR uncharacterized resistance proteins (RP1, RP2, RP3, RP4, RP5, RP6,
RP7, and RP8) were selected in these two cultivars for in silico modeling. Modeller 9.22 and SWISS-MODEL servers
were used for the homology modeling of eight RPs. ProFunc server was utilized for the prediction of secondary
structure and function. The CDvist Web server and Interpro scan server detected the motif and domains in eight
RPs. Ramachandran plot of eight RPs confirmed that the modeled structures occupied favorable positions.
Conclusions: From the present study, computational analysis of these eight RPs may afford insights into their role,
function, and valuable resource for studying the intricate details of the plant defense mechanism. Furthermore, the
identification of resistance proteins is useful for the development of molecular markers linked to resistance genes.
 
Date 2020
 
Type Article
PeerReviewed
 
Format pdf
 
Language en
 
Identifier http://ir.cftri.com/14752/1/Journal%20of%20Genetic%20Engineering%20and%20Biotechnology%20%282020%29%201875.pdf
Chandrakanth, R. and Sunil, L. and Sadashivaiah, L. and Devaki, N. S. (2020) In silico modelling and characterization of eight blast resistance proteins in resistant and susceptible rice cultivars. Journal of Genetic Engineering and Biotechnology, 18. p. 75.