Nature Biotechnology 24, 447 - 454 (2006)
Published online: 12 March 2006; | doi:10.1038/nbt1192
Comprehensive metabolic profiling and phenotyping of interspecific introgression lines for tomato improvementNicolas Schauer1, 4, Yaniv Semel2, 4, Ute Roessner3, Amit Gur2, Ilse Balbo1, Fernando Carrari1, Tzili Pleban2, Alicia Perez-Melis1, Claudia Bruedigam1, Joachim Kopka1, Lothar Willmitzer1, Dani Zamir2
& Alisdair R Fernie11
Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Golm, Germany. 2
Institute of Plant Sciences and Genetics and Otto Warburg Centre for Biotechnology, Faculty of Agriculture, Hebrew University of Jerusalem, PO Box 12, Rehovot 76100, Israel. 3
Present address: Australian Centre for Plant Functional Genomics, School of Botany, University of Melbourne, Victoria 3010, Australia. 4
These authors contributed equally to this work.
Correspondence should be addressed to Alisdair R Fernie fernie@mpimp-golm.mpg.de 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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