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Bioinformatic characterisation of the effector repertoire of the strawberry pathogen Phytophthora cactorum

Bioinformatic characterisation of the effector repertoire of the strawberry pathogen Phytophthora cactorum

Armitage, Andrew D. ORCID: 0000-0002-0610-763X, Lysøe, Erik, Nellist, Charlotte F. ORCID: 0000-0002-7453-3710, Lewis, Laura A., Cano, Liliana M., Harrison, Richard J. ORCID: 0000-0002-3307-3519 and Brurberg, May B. (2018) Bioinformatic characterisation of the effector repertoire of the strawberry pathogen Phytophthora cactorum. PLOS ONE, 13 (10):e0202305. ISSN 1932-6203 (Online) (doi:https://doi.org/10.1371/journal.pone.0202305)

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Abstract

The oomycete pathogen Phytophthora cactorum causes crown rot, a major disease of cultivated strawberry. We report the draft genome of P. cactorum isolate 10300, isolated from symptomatic Fragaria x ananassa tissue. Our analysis revealed that there are a large number of genes encoding putative secreted effectors in the genome, including nearly 200 RxLR domain containing effectors, 77 Crinklers (CRN) grouped into 38 families, and numerous apoplastic effectors, such as phytotoxins (PcF proteins) and necrosis inducing proteins. As in other Phytophthora species, the genomic environment of many RxLR and CRN genes differed from core eukaryotic genes, a hallmark of the two-speed genome. We found genes homologous to known Phytophthora infestans avirulence genes including Avr1, Avr3b, Avr4, Avrblb1 and AvrSmira2 indicating effector sequence conservation between Phytophthora species of clade 1a and clade 1c. The reported P. cactorum genome sequence and associated annotations represent a comprehensive resource for avirulence gene discovery in other Phytophthora species from clade 1 and, will facilitate effector informed breeding strategies in other crops.

Item Type: Article
Uncontrolled Keywords: oomycete, effector, avirulence, fragaria x ananassa, RxLR, crinkler
Subjects: Q Science > QH Natural history > QH301 Biology
Faculty / Department / Research Group: Faculty of Engineering & Science
Faculty of Engineering & Science > Natural Resources Institute
Faculty of Engineering & Science > Natural Resources Institute > Agriculture, Health & Environment Department
Last Modified: 03 Mar 2020 12:58
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
Selected for GREAT 2019: None
URI: http://gala.gre.ac.uk/id/eprint/27116

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