Comprehensive metabolic profiling and phenotyping of interspecific introgression lines for tomato improvement

By Nicolas Schauer, Yaniv Semel, Ute Roessner, Amit Gur, I. Balbo, F. Carrari, T. Pleban, Alicia Perez-Melis, Claudia Bruedigam, Joachim Kopka and 3 more. Nature Biotechnology, 2006

755 citations recorded by the source corpus.

Subfields: Information Systems, Management Science and Operations Research, Signal Processing

View Paper: https://www.semanticscholar.org/paper/ac9f06e07e8df47978abb00d88e564491df6da4c

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Citations in the corpus

Using Digestate and Biochar as Fertilizers to Improve Processing Tomato Production Sustainability (2020, background): “Regarding fruit quality, ◦Brix, a measure of total soluble solids, is a very impacting parameter for tomato canning companies [64] and is often negatively correlated to fruit yield [65,66].”
Identification and stability of QTLs for fruit quality traits in apple (2008, result): “In this respect, our results are similar to the results of Schauer et al. working in tomato, who identified 889 fruit metabolite QTLs in tomato and yet found that at least 50% of these loci were associated with QTLs that modify “whole plant yield” (Schauer et al. 2006).”
REVIEW: PART OF A SPECIAL ISSUE ON THE PLANT CELL CYCLE Elucidating the functional role of endoreduplication in tomato fruit development (2011, background): “…only descriptive analyses for transcriptional and metabolic profiling in cells from various tomato fruit tissues were provided (Lemaire-Chamley et al., 2005; Schauer et al., 2006; Mounet et al., 2009; Steinhauser et al., 2010), without any direct link with the extent of endoreduplication.”
Metabolite analysis for the comparison of irrigated and non-irrigated field grown tomato of varying genotype (2007, methodology): “…could perhaps have been anticipated from previous studies in which the metabolite levels of fruit pericarp of either S. lycopersicum and S. pennellii (Schauer et al., 2005) or the introgression line population resulting from the crossing of these species (Schauer et al., 2006) were investigated.”
Metabolomics for functional genomics, systems biology, and biotechnology. (2010, background): “Another aspect of mQTL analysis is an investigation of the relationship between m-traits and other important agronomic and biological traits such as yield, taste, and biomass, because these traits likely interact closely with metabolism in plants (113, 127, 170).”