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Genome sequences of six Phytophthora species threatening forest ecosystems.


ABSTRACT: The Phytophthora genus comprises of some of the most destructive plant pathogens and attack a wide range of hosts including economically valuable tree species, both angiosperm and gymnosperm. Many known species of Phytophthora are invasive and have been introduced through nursery and agricultural trade. As part of a larger project aimed at utilizing genomic data for forest disease diagnostics, pathogen detection and monitoring (The TAIGA project: Tree Aggressors Identification using Genomic Approaches; http://taigaforesthealth.com/), we sequenced the genomes of six important Phytophthora species that are important invasive pathogens of trees and a serious threat to the international trade of forest products. This genomic data was used to develop highly sensitive and specific detection assays and for genome comparisons and to make evolutionary inferences and will be useful to the broader plant and tree health community. These WGS data have been deposited in the International Nucleotide Sequence Database Collaboration (DDBJ/ENA/GenBank) under the accession numbers AUPN01000000, AUVH01000000, AUWJ02000000, AUUF02000000, AWVV02000000 and AWVW02000000.

SUBMITTER: Feau N 

PROVIDER: S-EPMC5061060 | biostudies-literature | 2016 Dec

REPOSITORIES: biostudies-literature

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Genome sequences of six <i>Phytophthora</i> species threatening forest ecosystems.

Feau Nicolas N   Taylor Greg G   Dale Angela L AL   Dhillon Braham B   Bilodeau Guillaume J GJ   Birol Inanç I   Jones Steven J M SJ   Hamelin Richard C RC  

Genomics data 20161003


The <i>Phytophthora</i> genus comprises of some of the most destructive plant pathogens and attack a wide range of hosts including economically valuable tree species, both angiosperm and gymnosperm. Many known species of <i>Phytophthora</i> are invasive and have been introduced through nursery and agricultural trade. As part of a larger project aimed at utilizing genomic data for forest disease diagnostics, pathogen detection and monitoring (The TAIGA project: Tree Aggressors Identification usin  ...[more]

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