Literature DB >> 24675729

Flux and reflux: metabolite reflux in plant suspension cells and its implications for isotope-assisted metabolic flux analysis.

Shilpa Nargund1, Ashish Misra, Xiaofeng Zhang, Gary D Coleman, Ganesh Sriram.   

Abstract

Isotope-assisted metabolic flux analysis (MFA) is a powerful methodology to quantify intracellular fluxes via isotope labeling experiments (ILEs). In batch cultures, which are often convenient, inexpensive or inevitable especially for eukaryotic systems, MFA is complicated by the presence of the initially present biomass. This unlabeled biomass may either mix with the newly synthesized labeled biomass or reflux into the metabolic network, thus masking the true labeling patterns in the newly synthesized biomass. Here, we report a detailed investigation of such metabolite reflux in cell suspensions of the tree poplar. In ILEs supplying 28% or 98% U-(13)C glucose as the sole organic carbon source, biomass components exhibited lower (13)C enrichments than the supplied glucose as well as anomalous isotopomers not explainable by simple mixing of the initial and newly synthesized biomass. These anomalous labeling patterns were most prominent in a 98% U-(13)C glucose ILE. By comparing the performance of light- and dark-grown cells as well as by analyzing the isotope labeling patterns in aspartic and glutamic acids, we eliminated photosynthetic or anaplerotic fixation of extracellular (12)CO2 as explanations for the anomalous labeling patterns. We further investigated four different metabolic models for interpreting the labeling patterns and evaluating fluxes: (i) a carbon source (glucose) dilution model, (ii) an isotopomer correction model with uniform dilution for all amino acids, (iii) an isotopomer correction model with variable dilution for different amino acids, and (iv) a comprehensive metabolite reflux model. Of these, the metabolite reflux model provided a substantially better fit for the observed labeling patterns (sum of squared residues: 538) than the other three models whose sum of squared residues were (i) 4626, (ii) 4983, and (iii) 1748, respectively. We compared fluxes determined using the metabolite reflux model to those determined using an independent methodology involving an excessively long ILE to wash out initial biomass and a minimal reflux model. This comparison showed identical or similar distributions for a majority of fluxes, thus validating our comprehensive reflux model. In summary, we have demonstrated the need for quantifying interactions between initially present biomass and newly synthesized biomass in batch ILEs, especially through the use of ≈100% U-(13)C carbon sources. Our ILEs reveal a high amount of metabolite reflux in poplar cell suspensions, which is well explained by a comprehensive metabolite reflux model.

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Year:  2014        PMID: 24675729     DOI: 10.1039/c3mb70348g

Source DB:  PubMed          Journal:  Mol Biosyst        ISSN: 1742-2051


  6 in total

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Authors:  Maciek R Antoniewicz
Journal:  J Ind Microbiol Biotechnol       Date:  2015-01-23       Impact factor: 3.346

2.  Identifying Metabolic Subpopulations from Population Level Mass Spectrometry.

Authors:  Christine M DeGennaro; Yonatan Savir; Michael Springer
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3.  Deciphering cyanobacterial phenotypes for fast photoautotrophic growth via isotopically nonstationary metabolic flux analysis.

Authors:  Mary H Abernathy; Jingjie Yu; Fangfang Ma; Michelle Liberton; Justin Ungerer; Whitney D Hollinshead; Saratram Gopalakrishnan; Lian He; Costas D Maranas; Himadri B Pakrasi; Doug K Allen; Yinjie J Tang
Journal:  Biotechnol Biofuels       Date:  2017-11-16       Impact factor: 6.040

4.  Resolving the central metabolism of Arabidopsis guard cells.

Authors:  Semidán Robaina-Estévez; Danilo M Daloso; Youjun Zhang; Alisdair R Fernie; Zoran Nikoloski
Journal:  Sci Rep       Date:  2017-08-16       Impact factor: 4.379

Review 5.  Decoding Biosynthetic Pathways in Plants by Pulse-Chase Strategies Using (13)CO₂ as a Universal Tracer †.

Authors:  Adelbert Bacher; Fan Chen; Wolfgang Eisenreich
Journal:  Metabolites       Date:  2016-07-14

6.  Isotope-assisted metabolic flux analysis as an equality-constrained nonlinear program for improved scalability and robustness.

Authors:  Daniel J Lugar; Ganesh Sriram
Journal:  PLoS Comput Biol       Date:  2022-03-24       Impact factor: 4.475

  6 in total

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