PHI-base: the pathogen–host interactions database

Abstract The pathogen–host interactions database (PHI-base) is available at www.phi-base.org. PHI-base contains expertly curated molecular and biological information on genes proven to affect the outcome of pathogen–host interactions reported in peer reviewed research articles. PHI-base also curates literature describing specific gene alterations that did not affect the disease interaction phenotype, in order to provide complete datasets for comparative purposes. Viruses are not included, due to their extensive coverage in other databases. In this article, we describe the increased data content of PHI-base, plus new database features and further integration with complementary databases. The release of PHI-base version 4.8 (September 2019) contains 3454 manually curated references, and provides information on 6780 genes from 268 pathogens, tested on 210 hosts in 13,801 interactions. Prokaryotic and eukaryotic pathogens are represented in almost equal numbers. Host species consist of approximately 60% plants (split 50:50 between cereal and non-cereal plants), and 40% other species of medical and/or environmental importance. The information available on pathogen effectors has risen by more than a third, and the entries for pathogens that infect crop species of global importance has dramatically increased in this release. We also briefly describe the future direction of the PHI-base project, and some existing problems with the PHI-base curation process.

[1]  Jin-Rong Xu,et al.  An expanded subfamily of G-protein-coupled receptor genes in Fusarium graminearum required for wheat infection , 2019, Nature Microbiology.

[2]  K. Hammond-Kosack,et al.  Non-canonical fungal G-protein coupled receptors promote Fusarium head blight on wheat , 2019, PLoS pathogens.

[3]  D. Bloom,et al.  Infectious Disease Threats in the Twenty-First Century: Strengthening the Global Response , 2019, Front. Immunol..

[4]  N. Gow,et al.  Memory in Fungal Pathogens Promotes Immune Evasion, Colonisation, and Infection. , 2019, Trends in microbiology.

[5]  The UniProt Consortium,et al.  UniProt: a worldwide hub of protein knowledge , 2018, Nucleic Acids Res..

[6]  Peter D. Karp,et al.  A Comparison of Microbial Genome Web Portals , 2018, Front. Microbiol..

[7]  Jacob van Etten,et al.  Are agricultural researchers working on the right crops to enable food and nutrition security under future climates? , 2018, Global Environmental Change.

[8]  Ajit Singh,et al.  KnetMaps: a BioJS component to visualize biological knowledge networks , 2018, F1000Research.

[9]  Jonathan D. G. Jones,et al.  Shifting the limits in wheat research and breeding using a fully annotated reference genome , 2018, Science.

[10]  Christopher J. Rawlings,et al.  Towards FAIRer Biological Knowledge Networks Using a Hybrid Linked Data and Graph Database Approach , 2018, J. Integr. Bioinform..

[11]  Kim E. Hammond-Kosack,et al.  Sharing mutants and experimental information prepublication using FgMutantDb (https://scabusa.org/FgMutantDb). , 2018, Fungal genetics and biology : FG & B.

[12]  M. Fisher,et al.  Worldwide emergence of resistance to antifungal drugs challenges human health and food security , 2018, Science.

[13]  Cristina Aurrecoechea,et al.  FungiDB: An Integrated Bioinformatic Resource for Fungi and Oomycetes , 2018, Journal of fungi.

[14]  Robert D. Finn,et al.  Ensembl Genomes 2018: an integrated omics infrastructure for non-vertebrate species , 2017, Nucleic Acids Res..

[15]  M. Noverr,et al.  Fungal interactions with the human host: exploring the spectrum of symbiosis. , 2017, Current opinion in microbiology.

[16]  F. Arnaud,et al.  From core referencing to data re-use: two French national initiatives to reinforce paleodata stewardship (National Cyber Core Repository and LTER France Retro-Observatory) , 2017 .

[17]  N. Mueller,et al.  Climate Change and Global Food Systems: Potential Impacts on Food Security and Undernutrition. , 2017, Annual review of public health.

[18]  Kim Rutherford,et al.  PHI-base: a new interface and further additions for the multi-species pathogen–host interactions database , 2016, Nucleic Acids Res..

[19]  Keywan Hassani-Pak,et al.  KnetMiner - An integrated data platform for gene mining and biological knowledge discovery , 2017 .

[20]  John M. Hancock,et al.  An open and transparent process to select ELIXIR Node Services as implemented by ELIXIR-UK , 2016, F1000Research.

[21]  Artem Lysenko,et al.  Developing integrated crop knowledge networks to advance candidate gene discovery , 2016, Applied & translational genomics.

[22]  A. Fairlamb,et al.  Edinburgh Research Explorer Drug Resistance in Eukaryotic Microorganisms , 2022 .

[23]  Uma Maheswari,et al.  PhytoPath: an integrative resource for plant pathogen genomics , 2015, Nucleic Acids Res..

[24]  K. Hammond-Kosack,et al.  The trans-kingdom identification of negative regulators of pathogen hypervirulence , 2015, FEMS microbiology reviews.

[25]  John M. Hancock,et al.  An open and transparent process to select ELIXIR Node Services as implemented by ELIXIR-UK. , 2016, F1000Research.

[26]  N. Talbot,et al.  New and Improved Techniques for the Study of Pathogenic Fungi. , 2016, Trends in microbiology.

[27]  Kim E. Hammond-Kosack,et al.  Using the pathogen-host interactions database (PHI-base) to investigate plant pathogen genomes and genes implicated in virulence , 2015, Front. Plant Sci..

[28]  Jin-Rong Xu,et al.  Functional analysis of the Fusarium graminearum phosphatome. , 2015, The New phytologist.

[29]  Rashmi Pant,et al.  The Pathogen-Host Interactions database (PHI-base): additions and future developments , 2014, Nucleic Acids Res..

[30]  Chris Mungall,et al.  Global biotic interactions: An open infrastructure to share and analyze species-interaction datasets , 2014, Ecol. Informatics.

[31]  Mattias Öberg,et al.  Strategic Focus on 3R Principles Reveals Major Reductions in the Use of Animals in Pharmaceutical Toxicity Testing , 2014, PloS one.

[32]  M. Hahn The rising threat of fungicide resistance in plant pathogenic fungi: Botrytis as a case study , 2014, Journal of chemical biology.

[33]  Midori A. Harris,et al.  Canto: an online tool for community literature curation , 2014, Bioinform..

[34]  Inna Dubchak,et al.  MycoCosm portal: gearing up for 1000 fungal genomes , 2013, Nucleic Acids Res..

[35]  J. Dangl,et al.  Pivoting the Plant Immune System from Dissection to Deployment , 2013, Science.

[36]  D. Leonardi,et al.  Candida Infections, Causes, Targets, and Resistance Mechanisms: Traditional and Alternative Antifungal Agents , 2013, BioMed research international.

[37]  David W. Denning,et al.  Hidden Killers: Human Fungal Infections , 2012, Science Translational Medicine.

[38]  Levon M Khachigian,et al.  DNAzyme Targeting c-jun Suppresses Skin Cancer Growth , 2012, Science Translational Medicine.

[39]  J. Brownstein,et al.  Emerging fungal threats to animal, plant and ecosystem health , 2012, Nature.

[40]  Shijie Zhang,et al.  Functional Analysis of the Kinome of the Wheat Scab Fungus Fusarium graminearum , 2011, PLoS pathogens.

[41]  Young-Su Seo,et al.  A Phenome-Based Functional Analysis of Transcription Factors in the Cereal Head Blight Fungus, Fusarium graminearum , 2011, PLoS pathogens.

[42]  M. Robles,et al.  University of Birmingham High throughput functional annotation and data mining with the Blast2GO suite , 2022 .

[43]  Terry Roemer,et al.  Essential Gene Identification and Drug Target Prioritization in Aspergillus fumigatus , 2007, PLoS pathogens.

[44]  Jonathan D. G. Jones,et al.  The plant immune system , 2006, Nature.

[45]  Christopher J. Rawlings,et al.  PHI-base: a new database for pathogen host interactions , 2005, Nucleic Acids Res..