Multi‐tissue integration of transcriptomic and specialized metabolite profiling provides tools for assessing the common bean (Phaseolus vulgaris) metabolome. (15th January 2019)

• Record Type: Journal Article
• Authors: Perez de Souza, Leonardo; Scossa, Federico; Proost, Sebastian; Bitocchi, Elena; Papa, Roberto; Tohge, Takayuki; Fernie, Alisdair R.
• Is Part Of: Plant journal. Volume 97:Number 6(2019)
• Page Start: 1132
• Page End: 1153
• Publication Date: 2019-01-15
• Subjects: common bean -- Phaseolus vulgaris -- specialized metabolism -- metabolomics -- transcriptomics -- natural diversity; Plant molecular biology -- Periodicals; Plant cells and tissues -- Periodicals; Botany -- Periodicals; 580
• DOI: 10.1111/tpj.14178
• Languages: English
• ISSNs: 0960-7412

Abstract

Summary: Common bean ( Phaseolus vulgaris L.) is an important legume species with a rich natural diversity of landraces that originated from the wild forms following multiple independent domestication events. After the publication of its genome, several resources for this relevant crop have been made available. A comprehensive characterization of specialized metabolism in P. vulgaris, however, is still lacking. In this study, we used a metabolomics approach based on liquid chromatography‐mass spectrometry to dissect the chemical composition at a tissue‐specific level in several accessions of common bean belonging to different gene pools. Using a combination of literature search, mass spectral interpretation, 13 C‐labeling, and correlation analyses, we were able to assign chemical classes and/or putative structures for approximately 39% of all measured metabolites. Additionally, we integrated this information with transcriptomics data and phylogenetic inference from multiple legume species to reconstruct the possible metabolic pathways and identify sets of candidate genes involved in the biosynthesis of specialized metabolites. A particular focus was given to flavonoids, triterpenoid saponins and hydroxycinnamates, as they represent metabolites involved in important ecological interactions and they are also associated with several health‐promoting benefits when integrated into the human diet. The data are presented here in the form of an accessible resource that we hope will set grounds for further studies on specialized metabolism in legumes. Significance Statement: Given that next generation sequencing is allowing rapid acquisition of genome and gene expression data, exploration of natural genetic diversity is a promising way of characterizing an organism at its molecular level. In this work, we provide a detailed characterization of the specialized metabolism of common bean, one of the most relevant legume crops, highlighting differences in multiple tissues and accessions which will likely influence breeding strategies in this important species.