Computational identification of promising genetic markers associated with molecular mechanisms of reduced rice resistance to <i>Rhizoctonia solani</i> under excess nitrogen fertilization using gene network reconstruction and analysis methods

Computational identification of promising genetic markers associated with molecular mechanisms of reduced rice resistance to <i>Rhizoctonia solani</i> under excess nitrogen fertilization using gene network reconstruction and analysis methods

Although nitrogen fertilizers increase rice yield, their excess can impair plant resistance to diseases, particularly sheath blight caused by Rhizoctonia solani. This pathogen can destroy up to 50 % of the crop, but the mechanisms underlying reduced resistance under excess nitrogen remain poorly und...

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Main Authors: E. A. Antropova, A. R. Volyanskaya, A. V. Adamovskaya, P. S. Demenkov, I. V. Yatsyk, T. V. Ivanisenko, Y. L. Orlov, Ch. Haoyu, M. Chen, V. A. Ivanisenko
Format: Article
Language:English
Published: Siberian Branch of the Russian Academy of Sciences, Federal Research Center Institute of Cytology and Genetics, The Vavilov Society of Geneticists and Breeders 2025-01-01
Series:Вавиловский журнал генетики и селекции
Subjects:
<i>oryza sativa
rhizoctonia solani</i>
plant bioinformatics
differentially expressed genes
genetic regulation
associative gene networks
smart crop knowledge base
andsystem software and information system
nitrogen fertilizer
fungal response
Online Access:https://vavilov.elpub.ru/jour/article/view/4417
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