Comprehensive metabolic profiling and phenotyping of interspecific introgression lines for tomato improvement.
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.
Schauer
Nicolas
N
Max-Planck-Institut für Molekulare Pflanzenphysiologie, Am Mühlenberg 1, 14476 Golm, Germany.
Semel
Yaniv
Y
Roessner
Ute
U
Gur
Amit
A
Balbo
Ilse
I
Carrari
Fernando
F
Pleban
Tzili
T
Perez-Melis
Alicia
A
Bruedigam
Claudia
C
Kopka
Joachim
J
Willmitzer
Lothar
L
Zamir
Dani
D
Fernie
Alisdair R
AR
D003198:Computer Simulation; D020869:Gene Expression Profiling / Q000379:methods; D024861:Genetic Enhancement / Q000379:methods*; D018551:Solanum lycopersicum / Q000235:genetics* / Q000378:metabolism*; D008954:Models, Biological; D010641:Phenotype; D010940:Plant Proteins / Q000235:genetics* / Q000378:metabolism*; D030821:Plants, Genetically Modified / Q000502:physiology*; D015202:Protein Engineering / Q000379:methods
D010940:Plant Proteins