Digital Imaging Combined with Genome-Wide Association Mapping Links Loci to Plant-Pathogen Interaction Traits
| Autor: | Nicole E. Soltis, Raoni Gwinner, Robert Eshbaugh, Rachel F Fordyce, Jason A. Corwin, Celine Caseys, Anushriya Subedy, Daniel J. Kliebenstein, Daniel Copeland, Susanna Atwell, Julie Feusier |
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| Rok vydání: | 2018 |
| Předmět: |
0301 basic medicine
Candidate gene food.ingredient genetic structures Physiology Arabidopsis Plant Science Biology Plant disease resistance 03 medical and health sciences Pathosystem food Phenomics Genetics Arabidopsis thaliana Association mapping Disease Resistance Plant Diseases Botrytis Chromosome Mapping food and beverages Articles biology.organism_classification eye diseases Plant Leaves Phenotype 030104 developmental biology Host-Pathogen Interactions Genome-Wide Association Study |
| Zdroj: | Plant Physiology. 178:1406-1422 |
| ISSN: | 1532-2548 0032-0889 |
| Popis: | Plant resistance to generalist pathogens with broad host ranges, such as Botrytis cinerea (Botrytis), is typically quantitative and highly polygenic. Recent studies have begun to elucidate the molecular genetic basis of plant-pathogen interactions using commonly measured traits, including lesion size and/or pathogen biomass. However, with the advent of digital imaging and high-throughput phenomics, there are a large number of additional traits available to study quantitative resistance. In this study, we used high-throughput digital imaging analysis to investigate previously poorly characterized visual traits of plant-pathogen interactions related to disease resistance using the Arabidopsis (Arabidopsis thaliana)/Botrytis pathosystem. From a large collection of visual lesion trait measurements, we focused on color, shape, and size to test how these aspects of the Arabidopsis/Botrytis interaction are genetically related. Through genome-wide association mapping in Arabidopsis, we show that lesion color and shape are genetically separable traits associated with plant disease resistance. Moreover, by employing defined mutants in 23 candidate genes identified from the genome-wide association mapping, we demonstrate links between loci and each of the different plant-pathogen interaction traits. These results expand our understanding of the functional mechanisms driving plant disease resistance. |
| Databáze: | OpenAIRE |
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