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

Schwender, Jorg; Konig, Christina; Klapperstuck, Matthias; Heinzel, Nicolas; Munz, Eberhard; Hebbelmann, Inga; Hay, Jordan O.; Denolf, Peter; De Bodt, Stefanie; Redestig, Henning; Caestecker, Evelyne; Jakob, Peter M.; Borisjuk, Ljudmilla; Rolletschek, Hardy

doi:10.3389/fpls.2014.00668

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

Journal Article · Fri Nov 28 00:00:00 EST 2014 · Frontiers in Plant Science

DOI:https://doi.org/10.3389/fpls.2014.00668· OSTI ID:1259277

Schwender, Jorg ^[1]; Konig, Christina ^[2]; Klapperstuck, Matthias ^[2]; Heinzel, Nicolas ^[2]; Munz, Eberhard ^[3]; Hebbelmann, Inga ^[1]; Hay, Jordan O. ^[1]; Denolf, Peter ^[4]; De Bodt, Stefanie ^[4]; Redestig, Henning ^[4]; Caestecker, Evelyne ^[4]; Jakob, Peter M. ^[5]; Borisjuk, Ljudmilla ^[2]; Rolletschek, Hardy ^[2]

Brookhaven National Lab. (BNL), Upton, NY (United States)
Leibniz Inst. for Plant Genetics and Crop Plant Research, Gatersleben (Germany)
Leibniz Inst. for Plant Genetics and Crop Plant Research, Gatersleben (Germany); Univ. of Wurzburg (Germany)
Bayer CropScience NV, Zwijnaarde (Belgium)
Univ. of Wurzburg (Germany)

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. Lastly, this limitation needs to be borne in mind in evaluating transcriptome data and designing metabolic engineering experiments.

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Research Organization:: Brookhaven National Laboratory (BNL), Upton, NY (United States)

Sponsoring Organization:: USDOE Office of Science (SC), Basic Energy Sciences (BES)

Grant/Contract Number:: AC0298CH10886

OSTI ID:: 1259277

Journal Information:: Frontiers in Plant Science, Vol. 5; ISSN 1664-462X

Publisher:: Frontiers Research FoundationCopyright Statement

Country of Publication:: United States

Language:: English

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Cited by: 52 works

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References (52)

Improved scoring of functional groups from gene expression data by decorrelating GO graph structure Alexa, A.; Rahnenfuhrer, J.; Lengauer, T. Bioinformatics, Vol. 22, Issue 13 https://doi.org/10.1093/bioinformatics/btl140	journal	April 2006
Carbon and Nitrogen Provisions Alter the Metabolic Flux in Developing Soybean Embryos Allen, Doug K.; Young, Jamey D. Plant Physiology, Vol. 161, Issue 3 https://doi.org/10.1104/pp.112.203299	journal	January 2013
Carbon conversion efficiency and central metabolic fluxes in developing sunflower (Helianthus annuus L.) embryos: Metabolic fluxes in sunflower embryos Alonso, Ana P.; Goffman, Fernando D.; Ohlrogge, John B. The Plant Journal, Vol. 52, Issue 2 https://doi.org/10.1111/j.1365-313X.2007.03235.x	journal	August 2007
Feedback regulation of plastidic acetyl-CoA carboxylase by 18:1-acyl carrier protein in Brassica napus Andre, C.; Haslam, R. P.; Shanklin, J. Proceedings of the National Academy of Sciences, Vol. 109, Issue 25 https://doi.org/10.1073/pnas.1204604109	journal	June 2012
Systems‐based analysis of Arabidopsis leaf growth reveals adaptation to water deficit Baerenfaller, Katja; Massonnet, Catherine; Walsh, Sean Molecular Systems Biology, Vol. 8, Issue 1 https://doi.org/10.1038/msb.2012.39	journal	January 2012
Comprehensive developmental profiles of gene activity in regions and subregions of the Arabidopsis seed Belmonte, M. F.; Kirkbride, R. C.; Stone, S. L. Proceedings of the National Academy of Sciences, Vol. 110, Issue 5 https://doi.org/10.1073/pnas.1222061110	journal	January 2013
Seed Architecture Shapes Embryo Metabolism in Oilseed Rape Borisjuk, Ljudmilla; Neuberger, Thomas; Schwender, Jörg The Plant Cell, Vol. 25, Issue 5 https://doi.org/10.1105/tpc.113.111740	journal	May 2013
Nuclear magnetic resonance imaging of lipid in living plants Borisjuk, Ljudmilla; Rolletschek, Hardy; Neuberger, Thomas Progress in Lipid Research, Vol. 52, Issue 4 https://doi.org/10.1016/j.plipres.2013.05.003	journal	October 2013
Comparative transcriptome and metabolite analysis of oil palm and date palm mesocarp that differ dramatically in carbon partitioning Bourgis, F.; Kilaru, A.; Cao, X. Proceedings of the National Academy of Sciences, Vol. 108, Issue 30 https://doi.org/10.1073/pnas.1106502108	journal	June 2011
Transcriptional regulation is insufficient to explain substrate‐induced flux changes in Bacillus subtilis Chubukov, Victor; Uhr, Markus; Le Chat, Ludovic Molecular Systems Biology, Vol. 9, Issue 1 https://doi.org/10.1038/msb.2013.66	journal	January 2013
Role of Transcriptional Regulation in Controlling Fluxes in Central Carbon Metabolism of Saccharomyces cerevisiae : A CHEMOSTAT CULTURE STUDY Daran-Lapujade, Pascale; Jansen, Mickel L. A.; Daran, Jean-Marc Journal of Biological Chemistry, Vol. 279, Issue 10 https://doi.org/10.1074/jbc.M309578200	journal	November 2003
The fluxes through glycolytic enzymes in Saccharomyces cerevisiae are predominantly regulated at posttranscriptional levels Daran-Lapujade, P.; Rossell, S.; van Gulik, W. M. Proceedings of the National Academy of Sciences, Vol. 104, Issue 40 https://doi.org/10.1073/pnas.0707476104	journal	September 2007
On the Discordance of Metabolomics with Proteomics and Transcriptomics: Coping with Increasing Complexity in Logic, Chemistry, and Network Interactions Scientific Correspondence Fernie, Alisdair R.; Stitt, Mark Plant Physiology, Vol. 158, Issue 3 https://doi.org/10.1104/pp.112.193235	journal	January 2012
Proteins of Diverse Function and Subcellular Location Are Lysine Acetylated in Arabidopsis Finkemeier, Iris; Laxa, Miriam; Miguet, Laurent Plant Physiology, Vol. 155, Issue 4 https://doi.org/10.1104/pp.110.171595	journal	February 2011
Full-length transcriptome assembly from RNA-Seq data without a reference genome Grabherr, Manfred G.; Haas, Brian J.; Yassour, Moran Nature Biotechnology, Vol. 29, Issue 7 https://doi.org/10.1038/nbt.1883	journal	May 2011
What mRNA Abundances Can Tell us about Metabolism Hoppe, Andreas Metabolites, Vol. 2, Issue 3 https://doi.org/10.3390/metabo2030614	journal	September 2012
Functioning of a metabolic flux sensor in Escherichia coli Kochanowski, K.; Volkmer, B.; Gerosa, L. Proceedings of the National Academy of Sciences, Vol. 110, Issue 3 https://doi.org/10.1073/pnas.1202582110	journal	December 2012
RSEM: accurate transcript quantification from RNA-Seq data with or without a reference genome Li, Bo; Dewey, Colin N. BMC Bioinformatics, Vol. 12, Issue 1 https://doi.org/10.1186/1471-2105-12-323	journal	August 2011
Choreography of Transcriptomes and Lipidomes of Nannochloropsis Reveals the Mechanisms of Oil Synthesis in Microalgae Li, Jing; Han, Danxiang; Wang, Dongmei The Plant Cell, Vol. 26, Issue 4 https://doi.org/10.1105/tpc.113.121418	journal	April 2014
Analysis of Relative Gene Expression Data Using Real-Time Quantitative PCR and the 2−ΔΔCT Method Livak, Kenneth J.; Schmittgen, Thomas D. Methods, Vol. 25, Issue 4 https://doi.org/10.1006/meth.2001.1262	journal	December 2001
Biochemical and physiological studies of Arabidopsis thaliana transgenic lines with repressed expression of the mitochondrial pyruvate dehydrogenase kinase1 Marillia, E. -F.; Micallef, B. J.; Micallef, M. Journal of Experimental Botany, Vol. 54, Issue 381 https://doi.org/10.1093/jxb/erg020	journal	January 2003
Analysis of gene expression in resynthesized Brassica napus allotetraploids: transcriptional changes do not explain differential protein regulation Marmagne, Anne; Brabant, Philippe; Thiellement, Hervé New Phytologist, Vol. 186, Issue 1 https://doi.org/10.1111/j.1469-8137.2009.03139.x	journal	January 2010
The metabolic flux phenotype of heterotrophic Arabidopsis cells reveals a flexible balance between the cytosolic and plastidic contributions to carbohydrate oxidation in response to phosphate limitation Masakapalli, Shyam K.; Bryant, Fiona M.; Kruger, Nicholas J. The Plant Journal, Vol. 78, Issue 6 https://doi.org/10.1111/tpj.12522	journal	May 2014
Phosphoproteomic Analysis of Seed Maturation in Arabidopsis, Rapeseed, and Soybean Meyer, Louis J.; Gao, Jianjiong; Xu, Dong Plant Physiology, Vol. 159, Issue 1 https://doi.org/10.1104/pp.111.191700	journal	March 2012
Rethinking metabolic control Morandini, Piero Plant Science, Vol. 176, Issue 4 https://doi.org/10.1016/j.plantsci.2009.01.005	journal	April 2009
Non-invasive Mapping of Lipids in Plant Tissue Using Magnetic Resonance Imaging Neuberger, Thomas; Rolletschek, Hardy; Webb, Andrew Methods in Molecular Biology https://doi.org/10.1007/978-1-60761-322-0_24	book	January 2009
Regulation of yeast central metabolism by enzyme phosphorylation Oliveira, Ana Paula; Ludwig, Christina; Picotti, Paola Molecular Systems Biology, Vol. 8, Issue 1 https://doi.org/10.1038/msb.2012.55	journal	January 2012
Ribosome and transcript copy numbers, polysome occupancy and enzyme dynamics in Arabidopsis Piques, Maria; Schulze, Waltraud X.; Höhne, Melanie Molecular Systems Biology, Vol. 5, Issue 1 https://doi.org/10.1038/msb.2009.68	journal	January 2009
The Organization and Regulation of Plant Glycolysis Plaxton, William C. Annual Review of Plant Physiology and Plant Molecular Biology, Vol. 47, Issue 1 https://doi.org/10.1146/annurev.arplant.47.1.185	journal	June 1996
Identification of novel transcripts in annotated genomes using RNA-Seq Roberts, A.; Pimentel, H.; Trapnell, C. Bioinformatics, Vol. 27, Issue 17 https://doi.org/10.1093/bioinformatics/btr355	journal	June 2011
VANTED v2: a framework for systems biology applications Rohn, Hendrik; Junker, Astrid; Hartmann, Anja BMC Systems Biology, Vol. 6, Issue 1 https://doi.org/10.1186/1752-0509-6-139	journal	January 2012
Positional cues for the starch/lipid balance in maize kernels and resource partitioning to the embryo: Positional cues for resource partitioning Rolletschek, Hardy; Koch, Karen; Wobus, Ulrich The Plant Journal, Vol. 42, Issue 1 https://doi.org/10.1111/j.1365-313X.2005.02352.x	journal	March 2005
Evidence of a key role for photosynthetic oxygen release in oil storage in developing soybean seeds Rolletschek, Hardy; Radchuk, Ruslana; Klukas, Christian New Phytologist, Vol. 167, Issue 3 https://doi.org/10.1111/j.1469-8137.2005.01473.x	journal	June 2005
The Metabolic Architecture of Plant Cells: STABILITY OF CENTRAL METABOLISM AND FLEXIBILITY OF ANABOLIC PATHWAYS DURING THE GROWTH CYCLE OF TOMATO CELLS Rontein, Denis; Dieuaide-Noubhani, Martine; Dufourc, Erick J. Journal of Biological Chemistry, Vol. 277, Issue 46 https://doi.org/10.1074/jbc.M206366200	journal	September 2002
Metabolic flux analysis as a tool in metabolic engineering of plants Schwender, Jörg Current Opinion in Biotechnology, Vol. 19, Issue 2 https://doi.org/10.1016/j.copbio.2008.02.006	journal	April 2008
Rubisco without the Calvin cycle improves the carbon efficiency of developing green seeds Schwender, Jörg; Goffman, Fernando; Ohlrogge, John B. Nature, Vol. 432, Issue 7018 https://doi.org/10.1038/nature03145	journal	December 2004
Predictive Modeling of Biomass Component Tradeoffs in Brassica napus Developing Oilseeds Based on in Silico Manipulation of Storage Metabolism Schwender, Jörg; Hay, Jordan O. Plant Physiology, Vol. 160, Issue 3 https://doi.org/10.1104/pp.112.203927	journal	September 2012
Mitochondrial Metabolism in Developing Embryos of Brassica napus Schwender, Jörg; Shachar-Hill, Yair; Ohlrogge, John B. Journal of Biological Chemistry, Vol. 281, Issue 45 https://doi.org/10.1074/jbc.M606266200	journal	September 2006
Robustness of central carbohydrate metabolism in developing maize kernels Spielbauer, Gertraud; Margl, Lilla; Hannah, L. Curtis Phytochemistry, Vol. 67, Issue 14 https://doi.org/10.1016/j.phytochem.2006.05.035	journal	July 2006
Systems analysis of metabolic phenotypes: what have we learnt? Sweetlove, Lee J.; Obata, Toshihiro; Fernie, Alisdair R. Trends in Plant Science, Vol. 19, Issue 4 https://doi.org/10.1016/j.tplants.2013.09.005	journal	April 2014
Metabolic control analysis of developing oilseed rape ( Brassica napus cv Westar) embryos shows that lipid assembly exerts significant control over oil accumulation Tang, Mingguo; Guschina, Irina A.; O’Hara, Paul New Phytologist, Vol. 196, Issue 2 https://doi.org/10.1111/j.1469-8137.2012.04262.x	journal	August 2012
mapman: a user-driven tool to display genomics data sets onto diagrams of metabolic pathways and other biological processes Thimm, Oliver; Bläsing, Oliver; Gibon, Yves The Plant Journal, Vol. 37, Issue 6, p. 914-939 https://doi.org/10.1111/j.1365-313X.2004.02016.x	journal	March 2004
TopHat: discovering splice junctions with RNA-Seq Trapnell, Cole; Pachter, Lior; Salzberg, Steven L. Bioinformatics, Vol. 25, Issue 9 https://doi.org/10.1093/bioinformatics/btp120	journal	March 2009
Reconstruction of protein networks from an atlas of maize seed proteotypes Walley, J. W.; Shen, Z.; Sartor, R. Proceedings of the National Academy of Sciences, Vol. 110, Issue 49 https://doi.org/10.1073/pnas.1319113110	journal	November 2013
Metabolic Network Fluxes in Heterotrophic Arabidopsis Cells: Stability of the Flux Distribution under Different Oxygenation Conditions Williams, Thomas C. R.; Miguet, Laurent; Masakapalli, Shyam K. Plant Physiology, Vol. 148, Issue 2 https://doi.org/10.1104/pp.108.125195	journal	July 2008
A Genome-Scale Metabolic Model Accurately Predicts Fluxes in Central Carbon Metabolism under Stress Conditions Williams, Thomas C. R.; Poolman, Mark G.; Howden, Andrew J. M. Plant Physiology, Vol. 154, Issue 1 https://doi.org/10.1104/pp.110.158535	journal	July 2010
Opposing T cell responses in experimental autoimmune encephalomyelitis Saligrama, Naresha; Zhao, Fan; Sikora, Michael J. Nature, Vol. 572, Issue 7770 https://doi.org/10.1038/s41586-019-1467-x	journal	August 2019
Partitioning RNAs by length improves transcriptome reconstruction from short-read RNA-seq data Ringeling, Francisca Rojas; Chakraborty, Shounak; Vissers, Caroline Nature Biotechnology, Vol. 40, Issue 5 https://doi.org/10.1038/s41587-021-01136-7	journal	January 2022
An AP2-type transcription factor, WRINKLED1, of Arabidopsis thaliana binds to the AW-box sequence conserved among proximal upstream regions of genes involved in fatty acid synthesis Maeo, Kenichiro; Tokuda, Tsuyoshi; Ayame, Atsuko The Plant Journal, Vol. 60, Issue 3 https://doi.org/10.1111/j.1365-313x.2009.03967.x	journal	November 2009
Comparative deep transcriptional profiling of four developing oilseeds: Transcriptional profiling of oilseeds Troncoso-Ponce, Manuel A.; Kilaru, Aruna; Cao, Xia The Plant Journal, Vol. 68, Issue 6 https://doi.org/10.1111/j.1365-313x.2011.04751.x	journal	October 2011
Transcriptome and de novo analysis of Rosa xanthina f. spontanea in response to cold stress Zhuang, Defeng; Ma, Ce; Xue, Li BMC Plant Biology, Vol. 21, Issue 1 https://doi.org/10.1186/s12870-021-03246-5	journal	October 2021
Transcriptional regulation is insufficient to explain substrate‐induced flux changes in Bacillus subtilis Chubukov, Victor; Uhr, Markus; Le Chat, Ludovic ETH Zurich https://doi.org/10.3929/ethz-b-000077583	text	January 2013

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

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