Bioinformatics Approaches for Disease Diagnosis in Plants

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Authors

  • J. Sreekumar
     Section of Extension and Social Sciences, ICAR-Central Tuber Crops Research Institute, Sreekariyam, Thiruvananthapuram-695017, Kerala ,IN

Keywords:

Bioinformatics, Plant disease diagnosis, NGS, Metagenomics, System biology.

Abstract

To study the interactions between plants and their disease-causing pathogens under diverse environmental conditions, wide range of tools and techniques are employed. These include traditional microbiological methods, high-throughput DNA sequencing, metagenomics, molecular biological approaches, functional genomics, metabolomics, and advanced microscopic techniques. But, tools like bioinformatics and data analysis empower the researchers to unravel the complex mechanisms of pathogen interaction and helps in precise diagnosis in plants, ultimately contributing to crop resilience and sustainable agriculture. The present review provides comprehensive approaches to the appropriate bioinformatic tools and supply clues on mechanisms of pathogen pathogenicity and plant immunity as well as strategies on the diagnosis and treatment of plant disease.

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Published

2024-10-24

Issue

Volume 21, Issue 1, June 2024

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Articles

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