First published online March 25, 2008; 10.1105/tpc.107.056523
The Plant Cell 20:509-523 (2008)
© 2008 American Society of Plant Biologists
OPEN ACCESS ARTICLE
Mode of Inheritance of Primary Metabolic Traits in Tomato[W],[OA]
Nicolas Schauera,1,2,
Yaniv Semelb,1,
Ilse Balboa,
Matthias Steinfatha,c,
Dirk Repsilbera,d,
Joachim Selbiga,c,
Tzili Plebanb,
Dani Zamirb and
Alisdair R. Ferniea,3
a Max-Planck Institute for Molecular Plant Physiology, 14476 Potsdam-Golm, Germany
b Institute of Plant Sciences and Genetics and Otto Warburg Centre for Biotechnology, Faculty of Agriculture, Hebrew University of Jerusalem, Rehovot 76100, Israel
c University of Potsdam, Institute for Biochemistry and Biology, Department of Bioinformatics, D-14476 Potsdam, Germany
d Research Institute of the Biology of Farm Animals, D-18196 Dummerstorf, Germany
3 Address correspondence to fernie{at}mpimp-golm.mpg.de.
To evaluate components of fruit metabolic composition, we have previously metabolically phenotyped tomato (Solanum lycopersicum) introgression lines containing segmental substitutions of wild species chromosome in the genetic background of a cultivated variety. Here, we studied the hereditability of the fruit metabolome by analyzing an additional year's harvest and evaluating the metabolite profiles of lines heterozygous for the introgression (ILHs), allowing the evaluation of putative quantitative trait locus (QTL) mode of inheritance. These studies revealed that most of the metabolic QTL (174 of 332) were dominantly inherited, with relatively high proportions of additively (61 of 332) or recessively (80 of 332) inherited QTL and a negligible number displaying the characteristics of overdominant inheritance. Comparison of the mode of inheritance of QTL revealed that several metabolite pairs displayed a similar mode of inheritance of QTL at the same chromosomal loci. Evaluation of the association between morphological and metabolic traits in the ILHs revealed that this correlation was far less prominent, due to a reduced variance in the harvest index within this population. These data are discussed in the context of genomics-assisted breeding for crop improvement, with particular focus on the exploitation of wide biodiversity.
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