Genome-wide association analysis of grain yield-associated traits in a pan-European barley cultivar collection

Xin Xu, Rajiv Sharma, Allessandro Tondelli, Joanne Russell, Jordi Comadran, Klaus Pillen, Florian Schnaithmann, Benjamin Kilian, Luigi Cattivelli, William T. B. Thomas, Andrew J. Flavell (Lead / Corresponding author)

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Abstract

A collection of 379 Hordeum vulgare cultivars, comprising all combinations of spring and winter growth habits with 2 and 6 row ear type, was screened by genome wide association analysis to discover alleles controlling traits related to grain yield. Genotypes were obtained at 6810 segregating gene-based SNP loci and corresponding field trial data were obtained for ten traits related to grain yield at four European sites in three countries over two growth years. The combined data were analysed and statistically significant associations between the traits and regions of the barley genomes were obtained. Combining this information with the high resolution gene map for barley allowed the identification of candidate genes underlying all scored traits and superposition of this information with the known genomics of grain trait genes in rice resulted in the assignation of 13 putative barley genes controlling grain traits in European cultivated barley. Several of these genes are associated with grain traits in both winter and spring barley.
Original languageEnglish
Article number170073
Pages (from-to)1-11
Number of pages11
JournalPlant Genome
Volume11
Issue number1
DOIs
Publication statusPublished - 25 Jan 2018

Keywords

  • Europe
  • Genome-Wide Association Study
  • Genotype
  • Hordeum/genetics
  • Plant Proteins/genetics
  • Polymorphism, Single Nucleotide
  • Quantitative Trait Loci
  • Seeds/genetics

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    Xu, X., Sharma, R., Tondelli, A., Russell, J., Comadran, J., Pillen, K., Schnaithmann, F., Kilian, B., Cattivelli, L., Thomas, W. T. B., & Flavell, A. J. (2018). Genome-wide association analysis of grain yield-associated traits in a pan-European barley cultivar collection. Plant Genome, 11(1), 1-11. [170073]. https://doi.org/10.3835/plantgenome2017.08.0073