Response of Tibetan Wild Barley Genotypes to Drought Stress and Identification of Quantitative Trait Loci by Genome-Wide Association Analysis

Int J Mol Sci. 2019 Feb 12;20(3):791. doi: 10.3390/ijms20030791.

Abstract

Tibetan wild barley has been identified to show large genetic variation and stress tolerance. A genome-wide association (GWA) analysis was performed to detect quantitative trait loci (QTLs) for drought tolerance using 777 Diversity Array Technology (DArT) markers and morphological and physiological traits of 166 Tibetan wild barley accessions in both hydroponic and pot experiments. Large genotypic variation for these traits was found; and population structure and kinship analysis identified three subpopulations among these barley genotypes. The average LD (linkage disequilibrium) decay distance was 5.16 cM, with the minimum on 6H (0.03 cM) and the maximum on 4H (23.48 cM). A total of 91 DArT markers were identified to be associated with drought tolerance-related traits, with 33, 26, 16, 1, 3, and 12 associations for morphological traits, H⁺K⁺-ATPase activity, antioxidant enzyme activities, malondialdehyde (MDA) content, soluble protein content, and potassium concentration, respectively. Furthermore, 7 and 24 putative candidate genes were identified based on the reference Meta-QTL map and by searching the Barleymap. The present study implicated that Tibetan annual wild barley from Qinghai⁻Tibet Plateau is rich in genetic variation for drought stress. The QTLs detected by genome-wide association analysis could be used in marker-assisting breeding for drought-tolerant barley genotypes and provide useful information for discovery and functional analysis of key genes in the future.

Keywords: Diversity Array Technology (DArT) markers; Hordeum vulgare L. ssp. vulgare; drought stress; genome-wide association (GWA); quantitative trait loci (QTL) mapping.

MeSH terms

  • Adaptation, Physiological / genetics
  • Biomarkers / metabolism
  • Droughts
  • Genetic Variation / genetics
  • Genome-Wide Association Study / methods
  • Genotype
  • Hordeum / genetics*
  • Linkage Disequilibrium / genetics
  • Phenotype
  • Plant Breeding / methods
  • Quantitative Trait Loci / genetics*
  • Stress, Physiological / genetics*
  • Tibet

Substances

  • Biomarkers