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A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Published on: July 18, 2013

TRustDB: A comprehensive bioinformatics resource for understanding the complete Wheat-Stem rust host-pathogen

Raghav Kataria¹, Rakesh Kaundal^1,2,3

¹Department of Plants, Soils, and Climate, College of Agriculture and Applied Sciences, Utah State University, Logan, UT 84322, USA.

Database : the Journal of Biological Databases and Curation

|November 17, 2022

Summary

TRustDB is a new database for understanding wheat stem rust, a disease impacting crop yield. It offers tools to predict protein interactions and analyze host-pathogen responses to combat this fungal pathogen.

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Area of Science:

Plant Pathology
Bioinformatics
Genomics

Background:

Wheat stem rust, caused by Puccinia graminis (Pgt), poses a significant threat to global wheat production, reducing crop yield and quality.
Understanding the complex infection mechanisms of evolving phytopathogens is crucial for developing effective disease management strategies.

Purpose of the Study:

To introduce TRustDB, an open-access database designed to facilitate research on wheat stem rust (Pgt strains 'Ug99' and '21-0').
To provide researchers with tools for predicting protein-protein interactions and functional annotations of proteins involved in stem rust disease.

Main Methods:

Development of TRustDB with modules for functional annotation of host and pathogen proteins, including subcellular localization, functional domains, gene ontology, orthologs, and effector proteins.
Implementation of visualization tools for the predicted interactome network.
Integration with external databases like InterPro, KEGG, Ensembl, and NCBI.

Main Results:

TRustDB provides a comprehensive resource for analyzing protein interactions and functional genomics related to wheat stem rust.
The database includes specific modules for host transcription factors and KEGG pathways, aiding in understanding disease mechanisms and host defense.
A user-friendly web interface allows easy access and exploration of the integrated data.

Conclusions:

TRustDB serves as a valuable platform for researchers studying wheat stem rust, enhancing the understanding of host-pathogen interactions.
The database supports the development of novel strategies to mitigate the impact of stem rust on wheat production.
TRustDB facilitates interdisciplinary research by integrating diverse genomic and functional data.