Genomic biosurveillance detects a sexual hybrid in the sudden oak death pathogen

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作者
Richard C. Hamelin
Guillaume J. Bilodeau
Renate Heinzelmann
Kelly Hrywkiw
Arnaud Capron
Erika Dort
Angela L. Dale
Emilie Giroux
Stacey Kus
Nick C. Carleson
Niklaus J. Grünwald
Nicolas Feau
机构
[1] University of British Columbia,The Department of Forest and Conservation Sciences
[2] Canadian Food Inspection Agency,Ottawa Plant Laboratory
[3] Snow and Landscape Research WSL,Swiss Federal Institute for Forest
[4] New Construction Materials,Department of Botany and Plant Pathology
[5] FPInnovations,undefined
[6] Oregon State University,undefined
[7] Horticultural Crops Research Unit,undefined
[8] USDA ARS,undefined
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Invasive exotic pathogens pose a threat to trees and forest ecosystems worldwide, hampering the provision of essential ecosystem services such as carbon sequestration and water purification. Hybridization is a major evolutionary force that can drive the emergence of pathogens. Phytophthora ramorum, an emergent pathogen that causes the sudden oak and larch death, spreads as reproductively isolated divergent clonal lineages. We use a genomic biosurveillance approach by sequencing genomes of P. ramorum from survey and inspection samples and report the discovery of variants of P. ramorum that are the result of hybridization via sexual recombination between North American and European lineages. We show that these hybrids are viable, can infect a host and produce spores for long-term survival and propagation. Genome sequencing revealed genotypic combinations at 54,515 single nucleotide polymorphism loci not present in parental lineages. More than 6,000 of those genotypes are predicted to have a functional impact in genes associated with host infection, including effectors, carbohydrate-active enzymes and proteases. We also observed post-meiotic mitotic recombination that could generate additional genotypic and phenotypic variation and contribute to homoploid hybrid speciation. Our study highlights the importance of plant pathogen biosurveillance to detect variants, including hybrids, and inform management and control.
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