Tomato represents an important source of fiber and nutrients in the human diet and is a central model for the study of fruit biology. To identify components of fruit metabolic composition, here we have phenotyped tomato introgression lines (ILs) containing chromosome segments of a wild species in the genetic background of a cultivated variety. Using this high-diversity population, we identify 889 quantitative fruit metabolic loci and 326 loci that modify yield-associated traits. The mapping analysis indicates that at least 50% of the metabolic loci are associated with quantitative trait loci (QTLs) that modify whole-plant yield-associated traits. We generate a cartographic network based on correlation analysis that reveals whole-plant phenotype associated and independent metabolic associations, including links with metabolites of nutritional and organoleptic importance. The results of our genomic survey illustrate the power of genome-wide metabolic profiling and detailed morphological analysis for uncovering traits with potential for crop breeding.
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This research was supported by a grant from the German-Israeli Cooperation Project (DIP).
The authors declare no competing financial interests.
Heat maps of the metabolite profiles of the introgession lines from the individual data sets of A) 2001 and B) 2003. (PDF 645 kb)
Performance of module identification. (PDF 936 kb)
HI and BX levels in three different genotypes of the recessive self-pruning (SP) allele of tomato plants. (PDF 9 kb)
Metabolite QTL table (PDF 100 kb)
Yield associated QTL table. (PDF 42 kb)
Association analysis between pairs of traits. (PDF 3463 kb)
Dependence of metabolite QTLs in morphology traits. (PDF 761 kb)
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Schauer, N., Semel, Y., Roessner, U. et al. Comprehensive metabolic profiling and phenotyping of interspecific introgression lines for tomato improvement. Nat Biotechnol 24, 447–454 (2006). https://doi.org/10.1038/nbt1192
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