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

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2014
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Abstract
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 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 versus 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.
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eschwender2014frontierstranscript Use this key to autocite in the manuscript while using SciMatic Manuscript Manager or Thesis Manager
Authors ;Jörg eSchwender;Christina eKönig;Matthias eKlapperstück;Nicolas eHeinzel;Eberhard eMunz;Inga eHebbelmann;Jordan O. Hay;Peter eDenolf;Stefanie De Bodt;Henning eRedestig;Evelyne eCaestecker;Peter M Jakob;Ljudmilla eBorisjuk;Hardy eRolletschek
Journal phytochemistry letters
Year 2014
DOI
10.3389/fpls.2014.00668
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