PHI-base in 2022: a multi-species phenotype database for Pathogen-Host Interactions

Martin Urban1, Alayne Cuzick1, James Seager1

  • 1Department of Biointeractions and Crop Protection, Rothamsted Research, Harpenden AL5 2JQ, UK.

Nucleic Acids Research
|November 17, 2021
PubMed

Insights

The Pathogen-Host Interactions Database (PHI-base) manually curates verified pathogenicity, virulence, and effector genes from diverse pathogens and their hosts. This resource aids in comparative analysis and identifying intervention targets in important species.

Area of Science:

  • Microbiology
  • Genomics
  • Bioinformatics

Background:

  • The Pathogen-Host Interactions Database (PHI-base) has been a crucial resource since 2005.
  • It manually curates experimentally verified data on pathogenicity, virulence, and effector genes.
  • PHI-base covers fungal, bacterial, and protist pathogens infecting a wide range of hosts.

Purpose of the Study:

  • To present phenotype information on pathogenicity and effector genes and their host interactions.
  • To facilitate comparative analyses for discovering candidate intervention targets.
  • To provide an updated and expanded dataset of pathogen-host interactions.

Main Methods:

  • Manual curation of experimentally verified gene data.
  • Inclusion of specific gene alterations affecting host interaction phenotypes.
  • Data dissemination to major biological databases like UniProtKB, FungiDB, and Ensembl Genomes.

Main Results:

  • Version 4.12 (September 2021) contains 4387 references, information on 8411 genes from 279 pathogens, and 18,190 interactions.
  • A 24% increase in gene content since Version 4.8 (September 2019).
  • Bacterial and fungal pathogens constitute the majority (54:46 split), with plants as the primary host type (54%).

Conclusions:

  • PHI-base is an invaluable resource for understanding pathogen-host interactions.
  • It supports the discovery of novel targets for medical and agricultural interventions.
  • A forthcoming gene-centric version (5.0) will enhance data accessibility and utility.