TY  - JOUR
A1  - Oncken, Onno
A1  - Luschen, Ewald
A1  - Mechie, James
A1  - Sobolev, Stephan Vladimir
A1  - Schulze, Albrecht
A1  - Gaedicke, Christoph
A1  - Grunewald, Steffen
A1  - Bribach, Jens
A1  - Asch, Günter
A1  - Giese, Peter
A1  - Wigger, Peter
A1  - Schmitz, Michael
A1  - Lueth, Stefan
A1  - Scheuber, Ekkehard
A1  - Haberland, Christian
A1  - Rietbrock, Andreas
A1  - Götze, Hans-Jürgen
A1  - Brasse, Heinrich
A1  - Patzwahl, Regina
A1  - Chong, Guillermo
A1  - Wilke, Hans-Gerhard
A1  - Gonzalez, Gabriel
A1  - Jensen, Arturo
A1  - Araneda, Manuel
A1  - Vieytes, Hugo
A1  - Behn, Gerardo
A1  - Martinez, Eloy
T1  - Seismic reflection image revealing offset of Andean subduction-zone earthquake locations into oceanic mantle
Y1  - 1999
ER  - 
TY  - JOUR
A1  - Nunes-Nesi, Adriano
A1  - Alseekh, Saleh
A1  - de Oliveira Silva, Franklin Magnum
A1  - Omranian, Nooshin
A1  - Lichtenstein, Gabriel
A1  - Mirnezhad, Mohammad
A1  - Romero Gonzalez, Roman R.
A1  - Sabio y Garcia, Julia
A1  - Conte, Mariana
A1  - Leiss, Kirsten A.
A1  - Klinkhamer, Peter Gerardus Leonardus
A1  - Nikoloski, Zoran
A1  - Carrari, Fernando
A1  - Fernie, Alisdair R.
T1  - Identification and characterization of metabolite quantitative trait loci in tomato leaves and comparison with those reported for fruits and seeds
JF  - Metabolomics
N2  - IntroductionTo date, most studies of natural variation and metabolite quantitative trait loci (mQTL) in tomato have focused on fruit metabolism, leaving aside the identification of genomic regions involved in the regulation of leaf metabolism.ObjectiveThis study was conducted to identify leaf mQTL in tomato and to assess the association of leaf metabolites and physiological traits with the metabolite levels from other tissues.MethodsThe analysis of components of leaf metabolism was performed by phenotypying 76 tomato ILs with chromosome segments of the wild species Solanum pennellii in the genetic background of a cultivated tomato (S. lycopersicum) variety M82. The plants were cultivated in two different environments in independent years and samples were harvested from mature leaves of non-flowering plants at the middle of the light period. The non-targeted metabolite profiling was obtained by gas chromatography time-of-flight mass spectrometry (GC-TOF-MS). With the data set obtained in this study and already published metabolomics data from seed and fruit, we performed QTL mapping, heritability and correlation analyses.ResultsChanges in metabolite contents were evident in the ILs that are potentially important with respect to stress responses and plant physiology. By analyzing the obtained data, we identified 42 positive and 76 negative mQTL involved in carbon and nitrogen metabolism.ConclusionsOverall, these findings allowed the identification of S. lycopersicum genome regions involved in the regulation of leaf primary carbon and nitrogen metabolism, as well as the association of leaf metabolites with metabolites from seeds and fruits.
KW  - Metabolite QTL
KW  - Tomato
KW  - Leaf metabolism
KW  - Metabolite network
Y1  - 2019
U6  - https://doi.org/10.1007/s11306-019-1503-8
SN  - 1573-3882
SN  - 1573-3890
VL  - 15
IS  - 46
PB  - Springer
CY  - New York
ER  -