A database to detect, diagnose, monitor, and manage Phytophthora diseases. The database has been systematically cataloging genotypic and phenotypic data of Phytophthora spp. which can be easily accessed and utilized by the global community of plant health professionals.

The World Phytophthora Collection at the University of California , Riverside currently contains about 7500 isolates (March 2007) representing over 90 described species and many undescribed taxa. These isolates are from worldwide sources and a wide range of hosts. The collection is the only truly global resource for research on Phytophthora, one of the most devastating plant pathogens on this planet. As such it is now the only remaining comprehensive collection of genetic diversity representative of this extremely important group of plant pathogens.
It was started around 1962 and gradually became established as an important resource for Phytophthora research. Since 1981 it has been under the curatorship of Professor Michael Coffey and in the last 25 years it has increased dramatically both in size and genetic diversity. It has acquired important collections from worldwide sources. The collection includes a genetically diverse of collection of ~2000 isolates of P. infestans, cause of late blight of both potatoes and tomatoes. This species is one of the most dangerous plant pathogens in the world.

A database of molecular data, represents a novel and highly effective method of species determination based on comparisons of restriction enzyme digest products of the internal transcribed spacer (ITS) regions of rDNA.

A Unique resources for Genome sequence assembly. Genome sequencing efforts at JGI have focused on two species, Phytophthora sojae and P. ramorum. P. sojae has been developed as a model species for the genus, having in place excellent genetic and genomics resources (including genetic maps, BAC libraries, and EST sequences), as well as having a well organized community of researchers. The genome assembly version 1.0 of the P. ramorum genome, was generated using the whole genome shotgun strategy. This assembly release was annotated using the JGI automated annotation pipeline. Gene models and associated transcripts/proteins are predicted or mapped using a variety of tools based on cDNA, protein homology and ab initio methods. Conservation between the genomic sequences of P. sojae and P. ramorum provided additional support for the predicted gene models. Gene functions have been automatically assigned based on homology to known genes.

The Phytophthora infestans sequencing project, Their goal is to release an annotated assembly with 8X genome sequence coverage for Phytophthora infestans strain T30-4.

The Phytophthora Functional Genomics Database is a publicly accessible resource that will include functional assays and expression data, combined with transcript analysis and annotation. PFGD builds upon data available from the Phytophthora Genome Consortium and the Syngenta Phytophthora Consortium as well as all publicly available P. infestans transcript data that are analyzed and annotated using NCGR's XGI System. Gene-sequences derived from XGI will be linked to the full-length ORF's used in the functional assays and expression experiments. PFGD will also contain all pertinent metadata and curated annotations concerning these experiments. The knowledge gained from these studies will provide significant insight into key molecular processes regulating an economically important pathosystem and will provide novel tools for improvement of disease resistance in crop plants.

The Oomycete Genomics Database is a publicly accessible resource that includes functional assays and expression data, combined with transcript and genomic analysis and annotation. OGD builds upon data available from the Phytophthora Genome Consortium, Syngenta Phytophthora Consortium and the Phytophthora Functional Genomics Database. Data are analyzed and annotated using NCGR's XGI System.

VBI Microbial Database at VBI hosts data from a range of plant pathogenic oomycetes, fungi and bacteria primarily those under study at VBI. The phytophthora soybean EST database, contains 10 libraries from P.sojae (sHA,sHB,sMA,sML,sMY,sMC,sZG,sZO,sZS,iMY) having 33350 raw sequences. These sequences were clustered and assembled and data analysised. Recently all publicly avaialble soybean unigenes(37,465) are added to this database. The whole dataset had interproscan and signalP analysis. The Phytophthora sequences are linked to the genome browser.

Pathogen Genomics aims to sequence the genomes of organisms relevant to human and animal health. It has a large portfolio of projects ranging from bacterial plasmids and phage, through bacterial genomes and protist parasites to helminths and insect vectors. The projects themselves range from EST sequencing through comparative genomic sequencing, to fully finished genomes.

The oomycete molecular genetics community has a strong culture of collaboration and communication, and sharing of techniques and resources. With the recent blossoming of genetic and genomic tools for oomycetes, many new investigators, from a variety of backgrounds, have become interested in oomycete molecular genetics and genomics. The goals of the Oomycete Molecular Genetics Research Collaboration Network is to facilitate the integration of these investigators into the community and to further strengthen the cooperative culture of this community.

The Dissecting Soybean Resistance to Phytophthora project focuses on the mechanisms of quantitative resistance of soybean against the oomycete pathogen Phytophthora sojae, which is one of the most damaging pathogens of soybean crop. .

The objective of this project is to develop a fully integrated website for the genus Phytophthora that would include full species description, host ranges of specific species, their distribution and molcular characterization.

North Carolina State University and TIGR are collaborating on sequencing and annotation of haplotypes of the mitochondrial genome P. infestans. Haplotypes could be correlated with virulence and resistance to pesticides and used in epidemiological studies. In addition, whole mitochondrial genome sequence analysis will be useful in studies to examine molecular evolution in the pathogen.

This database contains expertly curated molecular and biological information on genes proven to affect the outcome of pathogen-host interactions. Information is also given on the target sites of some anti-infective chemistries

Phytophthora capsici, a soil mold that causes crown, fruit, and root rot, can be easily spread across and within regions via water. It infects cucumber, melon, squash, pumpkin, tomato, pepper, eggplant, lima, snap and wax bean crops. The goal of this project is to develop and implement a comprehensive management strategy for Phytophthora that relies on multiple tools rather than intensive pesticide use. Objectives include: limit the spread of Phytophthora, identify and develop Phytophthora-resistant varieties, develop new techniques for Phytophthora control including soil amendments, mulches, crop rotation, and water management, test currently labeled fungicides, biological control agents, and new chemistries for activity against Phytophthora, integrate chemical, biological, and cultural growing techniques and conduct on-farm research trials and extension meetings.

Majour Phytophthora Laboratories