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Transcript abundance on its own cannot be used to infer fluxes in central metabolism

Please always quote using this URN: urn:nbn:de:bvb:20-opus-114586
  • 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 forAn 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.show moreshow less

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Metadaten
Author: Joerg Schwender, Christina Koenig, Matthias Klapperstueck, Nicolas Heinzel, Eberhard Munz, Inga Hebbelmann, Jordan O. Hay, Peter Denolf, Stefanie De Bodt, Henning Redestig, Evelyne Caestecker, Peter M. Jakob, Ljudmilla Borisjuk, Hardy Rolletschek
URN:urn:nbn:de:bvb:20-opus-114586
Document Type:Journal article
Faculties:Fakultät für Physik und Astronomie / Physikalisches Institut
Language:English
Parent Title (English):Frontiers in Plant Science
ISSN:1664-462X
Year of Completion:2014
Volume:5
Source:Frontiers in Plant Science 5:668. doi:10.3389/fpls.2014.00668
DOI:https://doi.org/10.3389/fpls.2014.00668
Pubmed Id:https://pubmed.ncbi.nlm.nih.gov/25506350
Dewey Decimal Classification:5 Naturwissenschaften und Mathematik / 53 Physik / 530 Physik
Tag:Brassica napus; C-13-metabolic flux analysis; RNA-SEQ; central carbon metabolism; central metabolism; developing oilseeds; embryo; flux balance analysis; gene-expression data; heterotrophic arabidopsis cells; lipid biosynthesis; maize kernels; oilseeds; saccharomyces cerevisiae; seed; targeted metabolite profiling
Release Date:2015/06/30
Note:
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]
Licence (German):License LogoCC BY: Creative-Commons-Lizenz: Namensnennung