Chandrakanth R, Sunil L, Sadashivaiah L, Devaki N S
Department of Molecular Biology, Yuvaraja's College, University of Mysore, Mysuru, Karnataka, 570005, India.
Department of Plant Cell Biotechnology, CSIR-Central Food Technological Research Institute, Mysuru, 570020, India.
J Genet Eng Biotechnol. 2020 Nov 25;18(1):75. doi: 10.1186/s43141-020-00076-0.
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.
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.
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.
核苷酸结合位点富含亮氨酸重复序列（NBS-LRR）抗性基因是植物抗性基因中最大的一类，在植物防御反应中起重要作用。这些基因比其他基因保守性更好，通过其编码的蛋白质在植物中作为基于识别的免疫系统发挥作用。
在此，我们报道了水稻稻瘟病菌接种在抗性BR2655和感病HR12水稻品种中的效应。进行了转录组分析以分析这两个品种中的差异基因表达。在这两个品种中总共选择了8个未表征的NBS-LRR抗性蛋白（RP1、RP2、RP3、RP4、RP5、RP6、RP7和RP8）进行计算机模拟。使用Modeller 9.22和SWISS-MODEL服务器对8个抗性蛋白进行同源建模。利用ProFunc服务器预测二级结构和功能。CDvist网络服务器和Interpro扫描服务器检测了8个抗性蛋白中的基序和结构域。8个抗性蛋白的拉氏图证实建模结构占据了有利位置。
从本研究来看，对这8个抗性蛋白的计算分析可能有助于深入了解它们的作用、功能，以及为研究植物防御机制的复杂细节提供宝贵资源。此外，抗性蛋白的鉴定对于开发与抗性基因连锁的分子标记很有用。
