Research abstract

Article abstract

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 improvement

Nicolas 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 Fernie1

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.

  1. 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 to: Alisdair R Fernie1 e-mail:


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