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TRustDB: A comprehensive bioinformatics resource for understanding the complete Wheat—Stem rust host–pathogen interactome
The increasing infectious diseases in wheat immensely reduce crop yield and quality, thus affecting global wheat production. The evolution in phytopathogens hinders the understanding of the disease infection mechanisms. TRustDB is an open-access, comprehensive database that is specifically focused o...
Autores principales: | , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Oxford University Press
2022
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670741/ https://www.ncbi.nlm.nih.gov/pubmed/36394420 http://dx.doi.org/10.1093/database/baac068 |
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author | Kataria, Raghav Kaundal, Rakesh |
author_facet | Kataria, Raghav Kaundal, Rakesh |
author_sort | Kataria, Raghav |
collection | PubMed |
description | The increasing infectious diseases in wheat immensely reduce crop yield and quality, thus affecting global wheat production. The evolution in phytopathogens hinders the understanding of the disease infection mechanisms. TRustDB is an open-access, comprehensive database that is specifically focused on the disease stem rust (also known as black rust) in Triticum aestivum, which is caused by the fungal pathogen Puccinia graminis (Pgt), strains ‘Ug99’ and ‘21-0’. The database aims at a broader focus of providing the researchers with comprehensive tools to predict the protein–protein interactions and avail the functional annotations of the proteins involved in the interactions that cause the disease. The network of the predicted interactome can also be visualized on the browser. Various modules for the functional annotations of the host and pathogen proteins such as subcellular localization, functional domains, gene ontology annotations, pathogen orthologs and effector proteins have been implemented. The host proteins that serve as transcription factors, along with the respective Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways are also available, which further enhance the understanding of the disease infection mechanisms and the defense responses of the host. The database is also linked with several other databases such as InterPro, KEGG pathways, Ensembl and National Center for Biotechnology Information (NCBI). TRustDB has a user-friendly web interface, which can be accessed through . Database URL http://bioinfo.usu.edu/trustdb/ |
format | Online Article Text |
id | pubmed-9670741 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2022 |
publisher | Oxford University Press |
record_format | MEDLINE/PubMed |
spelling | pubmed-96707412022-11-18 TRustDB: A comprehensive bioinformatics resource for understanding the complete Wheat—Stem rust host–pathogen interactome Kataria, Raghav Kaundal, Rakesh Database (Oxford) Original Article The increasing infectious diseases in wheat immensely reduce crop yield and quality, thus affecting global wheat production. The evolution in phytopathogens hinders the understanding of the disease infection mechanisms. TRustDB is an open-access, comprehensive database that is specifically focused on the disease stem rust (also known as black rust) in Triticum aestivum, which is caused by the fungal pathogen Puccinia graminis (Pgt), strains ‘Ug99’ and ‘21-0’. The database aims at a broader focus of providing the researchers with comprehensive tools to predict the protein–protein interactions and avail the functional annotations of the proteins involved in the interactions that cause the disease. The network of the predicted interactome can also be visualized on the browser. Various modules for the functional annotations of the host and pathogen proteins such as subcellular localization, functional domains, gene ontology annotations, pathogen orthologs and effector proteins have been implemented. The host proteins that serve as transcription factors, along with the respective Kyoto Encyclopedia of Genes and Genomes (KEGG) pathways are also available, which further enhance the understanding of the disease infection mechanisms and the defense responses of the host. The database is also linked with several other databases such as InterPro, KEGG pathways, Ensembl and National Center for Biotechnology Information (NCBI). TRustDB has a user-friendly web interface, which can be accessed through . Database URL http://bioinfo.usu.edu/trustdb/ Oxford University Press 2022-11-17 /pmc/articles/PMC9670741/ /pubmed/36394420 http://dx.doi.org/10.1093/database/baac068 Text en © The Author(s) 2022. Published by Oxford University Press. https://creativecommons.org/licenses/by/4.0/This is an Open Access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Original Article Kataria, Raghav Kaundal, Rakesh TRustDB: A comprehensive bioinformatics resource for understanding the complete Wheat—Stem rust host–pathogen interactome |
title | TRustDB: A comprehensive bioinformatics resource for understanding the complete Wheat—Stem rust host–pathogen interactome |
title_full | TRustDB: A comprehensive bioinformatics resource for understanding the complete Wheat—Stem rust host–pathogen interactome |
title_fullStr | TRustDB: A comprehensive bioinformatics resource for understanding the complete Wheat—Stem rust host–pathogen interactome |
title_full_unstemmed | TRustDB: A comprehensive bioinformatics resource for understanding the complete Wheat—Stem rust host–pathogen interactome |
title_short | TRustDB: A comprehensive bioinformatics resource for understanding the complete Wheat—Stem rust host–pathogen interactome |
title_sort | trustdb: a comprehensive bioinformatics resource for understanding the complete wheat—stem rust host–pathogen interactome |
topic | Original Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9670741/ https://www.ncbi.nlm.nih.gov/pubmed/36394420 http://dx.doi.org/10.1093/database/baac068 |
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