ArticlePlant methods2022
WeCoNET: a host-pathogen interactome database for deciphering crucial molecular networks of wheat-common bunt cross-talk mechanisms.
Article in Plant methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 7 papers.
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7 citing papers in PubMed, 9 citations in OpenAlex.
- The tegument protein VP22 of pseudorabies virus inhibits cGAS condensation by inducing nuclear-to-cytoplasmic translocation of DDX21.PLoS pathogens · 2025Article
- Navigating the human-monkeypox virus interactome: HuPoxNET atlas reveals functional insights.Frontiers in microbiology · 2024Article
- Food for Thought: Proteomics for Meat Safety.Life (Basel, Switzerland) · 2023Review
- Decoding the host-pathogen interspecies molecular crosstalk during oral candidiasis in humans: anFrontiers in genetics · 2023Article
- A Transformer-Based Ensemble Framework for the Prediction of Protein-Protein Interaction Sites.Research (Washington, D.C.) · 2023Article
- Fungal Effectoromics: A World in Constant Evolution.International journal of molecular sciences · 2022Review
- TritiKBdb: A Functional Annotation Resource for Deciphering the Complete Interaction Networks in Wheat-Karnal Bunt Pathosystem.International journal of molecular sciences · 2022Article
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2 authors at 1 institution in 1 country.
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Abstract
backgroundTriticum aestivum is the most important staple food grain of the world. In recent years, the outbreak of a major seed-borne disease, common bunt, in wheat resulted in reduced quality and quantity of the crop. The disease is caused by two fungal pathogens, Tilletia caries and Tilletia laevis, which show high similarity to each other in terms of life cycle, germination, and disease symptoms. The host-pathogen protein-protein interactions play a crucial role in initiating the disease infection mechanism as well as in plant defense responses. Due to the availability of limited information on Tilletia species, the elucidation of infection mechanisms is hampered.
resultsWe constructed a database WeCoNET ( http://bioinfo.usu.edu/weconet/ ), providing functional annotations of the pathogen proteins and various tools to exploit host-pathogen interactions and other relevant information. The database implements a host-pathogen interactomics tool to predict protein-protein interactions, followed by network visualization, BLAST search tool, advanced 'keywords-based' search module, etc. Other features in the database include various functional annotations of host and pathogen proteins such as gene ontology terms, functional domains, and subcellular localization. The pathogen proteins that serve as effector and secretory proteins have also been incorporated in the database, along with their respective descriptions. Additionally, the host proteins that serve as transcription factors were predicted, and are available along with the respective transcription factor family and KEGG pathway to which they belong.
conclusionWeCoNET is a comprehensive, efficient resource to the molecular biologists engaged in understanding the molecular mechanisms behind the common bunt infection in wheat. The data integrated into the database can also be beneficial to the breeders for the development of common bunt-resistant cultivars.
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