Application of nontargeted metabolite profiling to discover novel markers of quality traits in an advanced population of malting barley

• DOI: 10.1111/pbi.12122
• Publication Date: 2013-10-12T01:49:35Z
• Authors: Adam L. Heuberger; Corey D. Broeckling; Kaylyn R. Kirkpat...; Jessica E. Prenni
• Keywords: Profiling (computer programming); Metabolite profiling; Doubled haploidy

Summary The process of breeding superior varieties for the agricultural industry is lengthy and expensive. Plant metabolites may act as markers quality traits, potentially expediting appraisal experimental lines during breeding. Here, we evaluated utility by assessing metabolic variation influenced genetic environmental factors in an advanced setting relation to phenotypic distribution 20 traits. Nontargeted liquid chromatography–mass spectrometry metabolite profiling was performed on barley ( H ordeum vulgare L .) grain malt from 72 malting grown at two distinct but climatically similar locations, with 2‐row 6‐row main factors. 27 420 molecular features were detected, trait profiles similarly genotype environment; however, more compared barley. An O 2 PLS model characterized traits that covaried, 1319 associated least one indiscriminant MS / acquisition novel data analysis method facilitated identification metabolites. described 216 primary secondary correlated multiple included amines, amino acids, alkaloids, polyphenolics lipids. mechanisms governing trait–metabolite associations interpreted based colocalization their gene annotations. results this study support hypothesis metabolism are co‐influenced relatively narrow illustrate functional