Metabolic Profiling of a Mapping Population Exposes New Insights in the Regulation of Seed Metabolism and Seed, Fruit, and Plant Relations

• DOI: 10.1371/journal.pgen.1002612
• Publication Date: 2012-03-29T20:52:08Z
• Authors: David Toubiana; Yaniv Semel; Takayuki Tohge; Romina Beleggia; Luigi Cattivelli; Leah Rosental; Zoran Nikoloski; Dani Zamir; Alisdair R. Fernie; Aaron Fait
• Keywords: Metabolic network; Metabolome

To investigate the regulation of seed metabolism and to estimate degree metabolic natural variability, metabolite profiling network analysis were applied a collection 76 different homozygous tomato introgression lines (ILs) grown in field two consecutive harvest seasons. Factorial ANOVA confirmed presence 30 quantitative trait loci (mQTL). Amino acid contents displayed high variability across population, with similar patterns seasons, while sugars exhibited significant seasonal fluctuations. Upon integration data for pericarp profiling, factorial identified main factor polymorphism be genotypic background rather than environment or tissue. Analysis coefficient variance indicated greater phenotypic plasticity ILs M82 cultivar. Broad-sense heritability suggested that mode inheritance traits differed from fruit. Correlation-based comparing showed tighter interdependence processes acids shown play central hub-like role topology network, maintaining interactions other categories, i.e., organic acids. Network six exceptionally highly co-regulated amino acids, Gly, Ser, Thr, Ile, Val, Pro. The strong this group was by mQTL mapping. Taken together these results (i) reflect extensive redundancy underlying metabolism, (ii) demonstrate tight co-ordination respect fruit (iii) emphasize centrality module network. Finally, study highlights added value integrating