TY  - JOUR
A1  - Schwender, Joerg
A1  - Koenig, Christina
A1  - Klapperstueck, Matthias
A1  - Heinzel, Nicolas
A1  - Munz, Eberhard
A1  - Hebbelmann, Inga
A1  - Hay, Jordan O.
A1  - Denolf, Peter
A1  - De Bodt, Stefanie
A1  - Redestig, Henning
A1  - Caestecker, Evelyne
A1  - Jakob, Peter M.
A1  - Borisjuk, Ljudmilla
A1  - Rolletschek, Hardy
T1  - Transcript abundance on its own cannot be used to infer fluxes in central metabolism
JF  - Frontiers in Plant Science
N2  - An attempt has been made to define the extent to which metabolic flux in central plant metabolism is reflected by changes in the transcriptome and metabolome, based on an analysis of in vitro cultured immature embryos of two oilseed rape (Brassica napus) accessions which contrast for seed lipid accumulation. Metabolic flux analysis (MFA) was used to constrain a flux balance metabolic model which included 671 biochemical and transport reactions within the central metabolism. This highly confident flux information was eventually used for comparative analysis of flux vs. transcript (metabolite). Metabolite profiling succeeded in identifying 79 intermediates within the central metabolism, some of which differed quantitatively between the two accessions and displayed a significant shift corresponding to flux. An RNA-Seq based transcriptome analysis revealed a large number of genes which were differentially transcribed in the two accessions, including some enzymes/proteins active in major metabolic pathways. With a few exceptions, differential activity in the major pathways (glycolysis, TCA cycle, amino acid, and fatty acid synthesis) was not reflected in contrasting abundances of the relevant transcripts. The conclusion was that transcript abundance on its own cannot be used to infer metabolic activity/fluxes in central plant metabolism. This limitation needs to be borne in mind in evaluating transcriptome data and designing metabolic engineering experiments.
KW  - oilseeds
KW  - lipid biosynthesis
KW  - heterotrophic arabidopsis cells
KW  - central carbon metabolism
KW  - gene-expression data
KW  - targeted metabolite profiling
KW  - central metabolism
KW  - flux balance analysis
KW  - C-13-metabolic flux analysis
KW  - Brassica napus
KW  - RNA-SEQ
KW  - developing oilseeds
KW  - saccharomyces cerevisiae
KW  - maize kernels
KW  - embryo
KW  - seed
Y1  - 2014
U6  - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:bvb:20-opus-114586
SN  - 1664-462X
N1  - Funding information:
Bayer Crop Science NV; Deutsche Forschungsgemeinschaft [BO-1917/4-1]; U.S. Department of Energy, Office of Science, Office of Basic Energy Sciences, Chemical Sciences, Geosciences, and Biosciences Division [DEACO298CH10886]
VL  - 5
ER  -