DOI: 10.1101/502260Dec 20, 2018Paper

Precision phenotyping reveals novel loci for quantitative resistance to septoria tritici blotch in European winter wheat

BioRxiv : the Preprint Server for Biology
Steven YatesBruce A McDonald

Abstract

Accurate, high-throughput phenotyping for quantitative traits is the limiting factor for progress in plant breeding. We developed automated image analysis to measure quantitative resistance to septoria tritici blotch (STB), a globally important wheat disease, enabling identification of small chromosome intervals containing plausible candidate genes for STB resistance. 335 winter wheat cultivars were included in a replicated field experiment that experienced natural epidemic development by a highly diverse but fungicide-resistant pathogen population. More than 5.4 million automatically generated phenotypes were associated with 13,648 SNP markers to perform a GWAS. We identified 26 chromosome intervals explaining 1.9-10.6% of the variance associated with four resistance traits. Seventeen of the intervals were less than 5 Mbp in size and encoded only 173 genes, including many genes associated with disease resistance. Five intervals contained four or fewer genes, providing high priority targets for functional validation. Ten chromosome intervals were not previously associated with STB resistance. Our experiment illustrates how high-throughput automated phenotyping can accelerate breeding for quantitative disease resistance. The SNP...Continue Reading

Related Concepts

Biological Markers
Breeding
Chromosomes
Genes
Recombinant Proteins
Wheat (Dietary)
Epidemic Disease
Size
Research Study
High Throughput Analysis

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