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PHI-base in 2022: a multi-species phenotype database for Pathogen-Host Interactions.
- Source :
-
Nucleic acids research [Nucleic Acids Res] 2022 Jan 07; Vol. 50 (D1), pp. D837-D847. - Publication Year :
- 2022
-
Abstract
- Since 2005, the Pathogen-Host Interactions Database (PHI-base) has manually curated experimentally verified pathogenicity, virulence and effector genes from fungal, bacterial and protist pathogens, which infect animal, plant, fish, insect and/or fungal hosts. PHI-base (www.phi-base.org) is devoted to the identification and presentation of phenotype information on pathogenicity and effector genes and their host interactions. Specific gene alterations that did not alter the in host interaction phenotype are also presented. PHI-base is invaluable for comparative analyses and for the discovery of candidate targets in medically and agronomically important species for intervention. Version 4.12 (September 2021) contains 4387 references, and provides information on 8411 genes from 279 pathogens, tested on 228 hosts in 18, 190 interactions. This provides a 24% increase in gene content since Version 4.8 (September 2019). Bacterial and fungal pathogens represent the majority of the interaction data, with a 54:46 split of entries, whilst protists, protozoa, nematodes and insects represent 3.6% of entries. Host species consist of approximately 54% plants and 46% others of medical, veterinary and/or environmental importance. PHI-base data is disseminated to UniProtKB, FungiDB and Ensembl Genomes. PHI-base will migrate to a new gene-centric version (version 5.0) in early 2022. This major development is briefly described.<br /> (© The Author(s) 2021. Published by Oxford University Press on behalf of Nucleic Acids Research.)
- Subjects :
- Animals
Apicomplexa classification
Apicomplexa genetics
Apicomplexa pathogenicity
Bacteria classification
Bacteria genetics
Bacteria pathogenicity
Diplomonadida classification
Diplomonadida genetics
Diplomonadida pathogenicity
Fungi classification
Fungi genetics
Fungi pathogenicity
Insecta classification
Insecta genetics
Insecta pathogenicity
Internet
Nematoda classification
Nematoda genetics
Nematoda pathogenicity
Phylogeny
Plants microbiology
Plants parasitology
Virulence
Databases, Factual
Host-Pathogen Interactions genetics
Phenotype
User-Computer Interface
Subjects
Details
- Language :
- English
- ISSN :
- 1362-4962
- Volume :
- 50
- Issue :
- D1
- Database :
- MEDLINE
- Journal :
- Nucleic acids research
- Publication Type :
- Academic Journal
- Accession number :
- 34788826
- Full Text :
- https://doi.org/10.1093/nar/gkab1037