Integrative multi-omics and computer-aided biofungicide design approach to combat fusarium wilt of chickpea

TitleIntegrative multi-omics and computer-aided biofungicide design approach to combat fusarium wilt of chickpea
Publication TypeJournal Article
Year of Publication2025
AuthorsSahoo, R, Kadoo, NY
JournalPlanta
Volume262
Issue5
Pagination107
Date PublishedSEP
Type of ArticleReview
ISSN0032-0935
KeywordsCADD, docking, Fungal diseases, MD Simulation, Protein structure prediction, Transcriptomics
Abstract

Main conclusionIntegrating multi-omics and computer-aided drug discovery approaches can overcome the limitations of traditional methods and help develop highly effective, specific, and environmentally safe biofungicides to control crop diseases.AbstractChickpea is a valuable legume crop in terms of nutrition, food security, economic sustainability, and environmental benefits. Fusarium wilt caused by the soil-borne fungus Fusarium oxysporum f.sp. ciceri is one of the most important diseases affecting chickpea. Several disease management methods, including crop rotation, soil fumigation with chemical fungicides, soil solarization, etc., are practiced to manage the disease. However, these methods have various limitations and cannot completely control the disease. Moreover, chemical fungicides indiscriminately kill even the beneficial soil microbes, pollute groundwater, and enter the food chain. Hence, modern approaches emphasizing innovative strategies and technologies need to be explored to manage the disease effectively. In this review, we propose integrating multi-omics (genomics, proteomics, metabolomics, etc.) and computer-aided drug discovery (CADD) approaches to develop biofungicides targeting vital pathogen proteins. Multi-omics approaches can delve deeper into the plant-pathogen interaction and reveal essential pathogen genes or proteins. These proteins could be targeted using CADD to identify phytochemical-based potential biofungicides, either using structure- or ligand-based drug design approaches. The potential biofungicides can be subjected to the prediction of carcinogenicity, hepatotoxicity, mutagenicity, etc., to identify biofungicides that are safe to use and are highly specific to the target pathogen. In vivo and in vitro validation studies can be followed to establish the efficacy and safety of the identified biofungicides for their practical application. This integrated approach can reduce the time and cost compared to the traditional methods and accelerate the discovery of highly effective biofungicides to protect crops from various diseases.

DOI10.1007/s00425-025-04821-y
Type of Journal (Indian or Foreign)

Foreign

Impact Factor (IF)

4.4

Divison category: 
Biochemical Sciences
Database: 
Web of Science (WoS)