Metabolomics-assisted crop breeding towards improvement in seed quality and yield

David Toubiana, Aaron Fait

Research output: Chapter in Book/Report/Conference proceedingChapterpeer-review

1 Scopus citations

Abstract

Seed complex traits, such as oil, protein or starch content, but also seed size, vigor, and dormancy represent agronomic traits of value. The exact understanding of their underlying regulatory mechanisms may be central to the development of future crop cultivars and goal orientated breeding strategies, sustaining high yields, seed nutritional quality or increased oil content. Seed traits are inherently associated with seed metabolism and plant-seed carbon-nitrogen allocation, thus a metabolomics based approach can provide a comprehensive understanding of seed metabolism and more generally of seed quality. During its different developmental stages and from the maturation phase to germination, the seed is characterized by distinct metabolite signatures, which may associate to yield related traits, rendering their identification useful as metabolic markers in the development of metabolomics-assisted breeding strategies. That said, the scientific knowledge on biochemical pathways in a cell is limited by the small number of identifiable metabolites (few hundreds) as compared to the thousands present at any given moment in a cell. Moreover, the integration of different metabolomics platforms allowing the identification and quantification of known and unknown metabolites remains a non-trivial step in deciphering complete metabolomes. Last, the superimposition of metabolite data and morpho-physiological traits requires correct data handling and elaboration. Without requiring a prior knowledge of biochemical reactions, correlation based network analysis represents an attractive approach to study the mode of interaction of known metabolites, to suggest unknown candidates for pathway elucidation and to identify association between metabolites and yield related traits.

Original languageEnglish
Title of host publicationSeed Development
Subtitle of host publicationOMICS Technologies Toward Improvement of Seed Quality and Crop Yield: OMICS in Seed Biology
PublisherSpringer Netherlands
Pages453-475
Number of pages23
ISBN (Electronic)9789400747494
ISBN (Print)9789400747487
DOIs
StatePublished - 1 Jan 2012

Keywords

  • Correlation analysis
  • Metabolic markers
  • Metabolomics-assisted crop breeding
  • Network analysis
  • Seed metabolism
  • Seed quality

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