Association mapping, transcriptomics, and transient expression identify candidate genes mediating plant–pathogen interactions in a tree

Significance International trade has resulted in the introduction of plant diseases into natural ecosystems around the world. These introductions have potentially catastrophic impacts on ecosystem structure and function. Leveraging genomic tools, natural variation within a tree species, and a high-throughput phenotyping platform, we present a framework that can be broadly applied to rapidly identify candidate genes associated with resistance and susceptibility to introduced plant diseases. The unprecedented speed and accuracy with which the candidate genes can be identified in woody trees demonstrates the potential of genomics to mitigate the impacts of invasive diseases on forest health. Invasive microbes causing diseases such as sudden oak death negatively affect ecosystems and economies around the world. The deployment of resistant genotypes for combating introduced diseases typically relies on breeding programs that can take decades to complete. To demonstrate how this process can be accelerated, we employed a genome-wide association mapping of ca. 1,000 resequenced Populus trichocarpa trees individually challenged with Sphaerulina musiva, an invasive fungal pathogen. Among significant associations, three loci associated with resistance were identified and predicted to encode one putative membrane-bound L-type receptor-like kinase and two receptor-like proteins. A susceptibility-associated locus was predicted to encode a putative G-type D-mannose–binding receptor-like kinase. Multiple lines of evidence, including allele analysis, transcriptomics, binding assays, and overexpression, support the hypothesized function of these candidate genes in the P. trichocarpa response to S. musiva.

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