Quantifying biomass composition by gas chromatography/mass spectrometry.

We developed a set of methods for the quantification of four major components of microbial biomass using gas chromatography/mass spectrometry (GC/MS). Specifically, methods are described to quantify amino acids, RNA, fatty acids, and glycogen, which comprise an estimated 88% of the dry weight of Escherichia coli. Quantification is performed by isotope ratio analysis with fully (13)C-labeled biomass as internal standard, which is generated by growing E. coli on [U-(13)C]glucose. This convenient, reliable, and accurate single-platform (GC/MS) workflow for measuring biomass composition offers significant advantages over existing methods. We demonstrate the consistency, accuracy, precision, and utility of this procedure by applying it to three metabolically unique E. coli strains. The presented methods will have widespread applicability in systems microbiology and bioengineering.

[1]  Gregory Stephanopoulos,et al.  Accurate assessment of amino acid mass isotopomer distributions for metabolic flux analysis. , 2007, Analytical chemistry.

[2]  G. Stephanopoulos,et al.  Metabolic Engineering: Principles And Methodologies , 1998 .

[3]  Maciek R Antoniewicz,et al.  Parallel labeling experiments with [1,2-(13)C]glucose and [U-(13)C]glutamine provide new insights into CHO cell metabolism. , 2013, Metabolic engineering.

[4]  Maciek R Antoniewicz,et al.  Publishing 13C metabolic flux analysis studies: a review and future perspectives. , 2013, Metabolic engineering.

[5]  Jens Nielsen,et al.  A simple and reliable method for the determination of cellular RNA content , 1991 .

[6]  H. Brunengraber,et al.  Correction of 13C mass isotopomer distributions for natural stable isotope abundance. , 1996, Journal of mass spectrometry : JMS.

[7]  Wenyun Lu,et al.  Separation and quantitation of water soluble cellular metabolites by hydrophilic interaction chromatography-tandem mass spectrometry. , 2006, Journal of chromatography. A.

[8]  M. Antoniewicz,et al.  Metabolic network reconstruction, growth characterization and 13C-metabolic flux analysis of the extremophile Thermus thermophilus HB8. , 2014, Metabolic engineering.

[9]  M. Antoniewicz,et al.  COMPLETE-MFA: complementary parallel labeling experiments technique for metabolic flux analysis. , 2013, Metabolic engineering.

[10]  J. Ohlrogge,et al.  Oil content of Arabidopsis seeds: the influence of seed anatomy, light and plant-to-plant variation. , 2006, Phytochemistry.

[11]  J. Keasling,et al.  Stoichiometric model of Escherichia coli metabolism: incorporation of growth-rate dependent biomass composition and mechanistic energy requirements. , 1997, Biotechnology and bioengineering.

[12]  B. Wawrik,et al.  Rapid, colorimetric quantification of lipid from algal cultures. , 2010, Journal of microbiological methods.

[13]  G. Peterson,et al.  A simplification of the protein assay method of Lowry et al. which is more generally applicable. , 1977, Analytical biochemistry.

[14]  W. Christie,et al.  Mass spectrometry of fatty acid derivatives , 2002 .

[15]  Eric D. Dodds,et al.  Gas chromatographic quantification of fatty acid methyl esters: Flame ionization detection vs. Electron impact mass spectrometry , 2005, Lipids.

[16]  M. Antoniewicz,et al.  Parallel labeling experiments with [U-13C]glucose validate E. coli metabolic network model for 13C metabolic flux analysis. , 2012, Metabolic engineering.

[17]  Scott B. Crown,et al.  Parallel labeling experiments and metabolic flux analysis: Past, present and future methodologies. , 2013, Metabolic engineering.

[18]  J. Rabinowitz,et al.  Absolute quantitation of intracellular metabolite concentrations by an isotope ratio-based approach , 2008, Nature Protocols.

[19]  J. Keasling,et al.  Effect of Escherichia coli biomass composition on central metabolic fluxes predicted by a stoichiometric model. , 1998, Biotechnology and bioengineering.

[20]  M. M. Bradford A rapid and sensitive method for the quantitation of microgram quantities of protein utilizing the principle of protein-dye binding. , 1976, Analytical biochemistry.

[21]  Gregory Stephanopoulos,et al.  Measuring deuterium enrichment of glucose hydrogen atoms by gas chromatography/mass spectrometry. , 2011, Analytical chemistry.

[22]  H. Mori,et al.  Construction of Escherichia coli K-12 in-frame, single-gene knockout mutants: the Keio collection , 2006, Molecular systems biology.

[23]  Yinjie J. Tang,et al.  Central metabolic responses to the overproduction of fatty acids in Escherichia coli based on 13C‐metabolic flux analysis , 2014, Biotechnology and bioengineering.

[24]  Christopher P. Long,et al.  Metabolic flux analysis of Escherichia coli knockouts: lessons from the Keio collection and future outlook. , 2014, Current opinion in biotechnology.

[25]  Yair Shachar-Hill,et al.  Determining Actinobacillus succinogenes metabolic pathways and fluxes by NMR and GC-MS analyses of 13C-labeled metabolic product isotopomers. , 2007, Metabolic engineering.

[26]  S. Rutherfurd,et al.  Amino Acid Analysis , 2009, Current protocols in protein science.