Toward Synthetic Biology Strategies for Adipic Acid Production: An in Silico Tool for Combined Thermodynamics and Stoichiometric Analysis of Metabolic Networks.

Adipic acid, a nylon-6,6 precursor, has recently gained popularity in synthetic biology. Here, 16 different production routes to adipic acid were evaluated using a novel tool for network-embedded thermodynamic analysis of elementary flux modes. The tool distinguishes between thermodynamically feasible and infeasible modes under determined metabolite concentrations, allowing the thermodynamic feasibility of theoretical yields to be assessed. Further, patterns that always caused infeasible flux distributions were identified, which will aid the development of tailored strain design. A review of cellular efflux mechanisms revealed that significant accumulation of extracellular product is only possible if coupled with ATP hydrolysis. A stoichiometric analysis demonstrated that the maximum theoretical product carbon yield heavily depends on the metabolic route, ranging from 32 to 99% on glucose and/or palmitate in Escherichia coli and Saccharomyces cerevisiae metabolic models. Equally important, metabolite concentrations appeared to be thermodynamically restricted in several pathways. Consequently, the number of thermodynamically feasible flux distributions was reduced, in some cases even rendering whole pathways infeasible, highlighting the importance of pathway choice. Only routes based on the shikimate pathway were thermodynamically favorable over a large concentration and pH range. The low pH capability of S. cerevisiae shifted the thermodynamic equilibrium of some pathways toward product formation. One identified infeasible-pattern revealed that the reversibility of the mitochondrial malate dehydrogenase contradicted the current state of knowledge, which imposes a major restriction on the metabolism of S. cerevisiae. Finally, the evaluation of industrially relevant constraints revealed that two shikimate pathway-based routes in E. coli were the most robust.

[1]  Hal S Alper,et al.  Biosensor‐Enabled Directed Evolution to Improve Muconic Acid Production in Saccharomyces cerevisiae , 2017, Biotechnology journal.

[2]  V. Wendisch,et al.  Biotechnological production of aromatic compounds of the extended shikimate pathway from renewable biomass. , 2017, Journal of biotechnology.

[3]  Stefano Cavallaro,et al.  Transiting from Adipic Acid to Bioadipic Acid. 1, Petroleum-Based Processes , 2015 .

[4]  J. W. Frost,et al.  Environmentally compatible synthesis of adipic acid from D-glucose , 1994 .

[5]  Ronan M. T. Fleming,et al.  Quantitative assignment of reaction directionality in a multicompartmental human metabolic reconstruction. , 2012, Biophysical journal.

[6]  F. Theodoulou,et al.  The ins and outs of peroxisomes: co-ordination of membrane transport and peroxisomal metabolism. , 2006, Biochimica et biophysica acta.

[7]  James M Clomburg,et al.  Integrated engineering of β-oxidation reversal and ω-oxidation pathways for the synthesis of medium chain ω-functionalized carboxylic acids. , 2015, Metabolic engineering.

[8]  Kathleen A. Curran,et al.  Metabolic engineering of muconic acid production in Saccharomyces cerevisiae. , 2013, Metabolic engineering.

[9]  Qipeng Yuan,et al.  Biological production of muconic acid via a prokaryotic 2,3-dihydroxybenzoic acid decarboxylase. , 2014, ChemSusChem.

[10]  J. Rabinowitz,et al.  Absolute Metabolite Concentrations and Implied Enzyme Active Site Occupancy in Escherichia coli , 2009, Nature chemical biology.

[11]  P. Xu,et al.  Biotechnological production of muconic acid: current status and future prospects. , 2014, Biotechnology advances.

[12]  Wim Soetaert,et al.  Influence of C4-dicarboxylic acid transporters on succinate production , 2011 .

[13]  S. Brul,et al.  In vivo measurement of cytosolic and mitochondrial pH using a pH-sensitive GFP derivative in Saccharomyces cerevisiae reveals a relation between intracellular pH and growth. , 2009, Microbiology.

[14]  Gregory Stephanopoulos,et al.  Engineering E. coli–E. coli cocultures for production of muconic acid from glycerol , 2015, Microbial Cell Factories.

[15]  Yong Li,et al.  Rational improvement of the engineered isobutanol-producing Bacillus subtilis by elementary mode analysis , 2012, Microbial Cell Factories.

[16]  J. Hamilton Fatty acid transport: difficult or easy? , 1998, Journal of lipid research.

[17]  Y. Mao,et al.  Biological production of adipic acid from renewable substrates: Current and future methods , 2016 .

[18]  K. Sigler,et al.  Membrane potentials in yeast cells measured by direct and indirect methods. , 1981, Biochimica et biophysica acta.

[19]  Christopher G. Knight,et al.  Absolute Quantification of the Glycolytic Pathway in Yeast: , 2011, Molecular & Cellular Proteomics.

[20]  J. Cronan,et al.  Genetics and regulation of bacterial lipid metabolism. , 1989, Annual review of microbiology.

[21]  M. Bott,et al.  Toward biotechnological production of adipic acid and precursors from biorenewables. , 2013, Journal of biotechnology.

[22]  M. Höfer,et al.  Measurements of electrical potential differences across yeast plasma membranes with microelectrodes are consistent with values from steady-state distribution of tetraphenylphosphonium inPichia humboldtii , 1988, The Journal of Membrane Biology.

[23]  J. Krömer,et al.  Examining the feasibility of bulk commodity production in Escherichia coli , 2011, Biotechnology Letters.

[24]  Stefan Steigmiller,et al.  The thermodynamic H+/ATP ratios of the H+-ATPsynthases from chloroplasts and Escherichia coli , 2008, Proceedings of the National Academy of Sciences.

[25]  Y. Deng,et al.  Production of adipic acid by the native‐occurring pathway in Thermobifida fusca B6 , 2015, Journal of applied microbiology.

[26]  Stefano Cavallaro,et al.  Transiting from Adipic Acid to Bioadipic Acid. Part II. Biosynthetic Pathways , 2015 .

[27]  Peter D. Karp,et al.  EcoCyc: fusing model organism databases with systems biology , 2012, Nucleic Acids Res..

[28]  J. Pronk,et al.  Microbial export of lactic and 3-hydroxypropanoic acid: implications for industrial fermentation processes. , 2004, Metabolic engineering.

[29]  S. Paiva,et al.  Transport of carboxylic acids in yeasts. , 2008, FEMS microbiology reviews.

[30]  J. Keasling,et al.  Microbial engineering for the production of advanced biofuels , 2012, Nature.

[31]  I. J. van der Klei,et al.  Peroxisome biogenesis and degradation in yeast: A structure/function analysis , 2000, Microscopy research and technique.

[32]  Veeresh Juturu,et al.  Metabolic Engineering of a Novel Muconic Acid Biosynthesis Pathway via 4-Hydroxybenzoic Acid in Escherichia coli , 2015, Applied and Environmental Microbiology.

[33]  V. Hatzimanikatis,et al.  Discovery and analysis of novel metabolic pathways for the biosynthesis of industrial chemicals: 3‐hydroxypropanoate , 2010, Biotechnology and bioengineering.

[34]  H. Hamamcı,et al.  Continuous cultivation of bakers' yeast: Change in cell composition at different dilution rates and effect of heat stress on trehalose level , 2008, Folia Microbiologica.

[35]  Christian Kandt,et al.  ATP-binding cassette transporters in Escherichia coli. , 2008, Biochimica et biophysica acta.

[36]  Qipeng Yuan,et al.  Extending shikimate pathway for the production of muconic acid and its precursor salicylic acid in Escherichia coli. , 2014, Metabolic engineering.

[37]  O. Kayser,et al.  In Vivo Validation of In Silico Predicted Metabolic Engineering Strategies in Yeast: Disruption of α-Ketoglutarate Dehydrogenase and Expression of ATP-Citrate Lyase for Terpenoid Production , 2015, PloS one.

[38]  Michael L. Mavrovouniotis,et al.  Identification of Localized and Distributed Bottlenecks in Metabolic Pathways , 1993, ISMB.

[39]  John M. Woodley,et al.  Bioprocess intensification for the effective production of chemical products , 2017, Comput. Chem. Eng..

[40]  Noyori,et al.  A "Green" route to adipic acid: direct oxidation of cyclohexenes with 30 percent hydrogen peroxide , 1998, Science.

[41]  Uri Alon,et al.  Cost–benefit theory and optimal design of gene regulation functions , 2007, Physical biology.

[42]  Matthias Heinemann,et al.  Systematic assignment of thermodynamic constraints in metabolic network models , 2006, BMC Bioinformatics.

[43]  Christian Jungreuthmayer,et al.  tEFMA: computing thermodynamically feasible elementary flux modes in metabolic networks , 2015, Bioinform..

[44]  M. Ataman,et al.  Heading in the right direction: thermodynamics-based network analysis and pathway engineering. , 2015, Current opinion in biotechnology.

[45]  A. Kastaniotis,et al.  The biochemistry of peroxisomal β-oxidation in the yeast Saccharomyces cerevisiae , 2003 .

[46]  J. W. Frost,et al.  Benzene‐Free Synthesis of Adipic Acid , 2002, Biotechnology progress.

[47]  Lixue Dong,et al.  The Redox Environment in the Mitochondrial Intermembrane Space Is Maintained Separately from the Cytosol and Matrix* , 2008, Journal of Biological Chemistry.

[48]  D. Fell,et al.  Detection of elementary flux modes in biochemical networks: a promising tool for pathway analysis and metabolic engineering. , 1999, Trends in biotechnology.

[49]  Matthew D. Jankowski,et al.  Group contribution method for thermodynamic analysis of complex metabolic networks. , 2008, Biophysical journal.

[50]  David E. Ruckerbauer,et al.  Metabolomics integrated elementary flux mode analysis in large metabolic networks , 2015, Scientific Reports.

[51]  Christoph Wittmann,et al.  Metabolic pathway analysis for rational design of L-methionine production by Escherichia coli and Corynebacterium glutamicum. , 2006, Metabolic engineering.

[52]  Angelo Vaccari,et al.  Development of new catalysts for N2O-decomposition from adipic acid plant , 2007 .

[53]  G. Stephanopoulos,et al.  Engineering Escherichia coli coculture systems for the production of biochemical products , 2015, Proceedings of the National Academy of Sciences.

[54]  N. Chen,et al.  Elementary mode analysis and metabolic flux analysis of L-glutamate biosynthesis byCorynebacterium glutamicum , 2009, Annals of Microbiology.

[55]  K. Kim,et al.  Engineering Escherichia coli for the production of adipic acid through the reversed β-oxidation pathway , 2015 .

[56]  Lisbeth Olsson,et al.  Adipic acid tolerance screening for potential adipic acid production hosts , 2017, Microbial Cell Factories.

[57]  J. Krömer,et al.  Tailoring strain construction strategies for muconic acid production in S. cerevisiae and E. coli , 2014, Metabolic engineering communications.

[58]  T. Imai,et al.  The relationship between viability and intracellular pH in the yeast Saccharomyces cerevisiae , 1995, Applied and environmental microbiology.

[59]  H Sahm,et al.  A functionally split pathway for lysine synthesis in Corynebacterium glutamicium , 1991, Journal of bacteriology.

[60]  Jörg Stelling,et al.  Large-scale computation of elementary flux modes with bit pattern trees , 2008, Bioinform..

[61]  Hongjuan Liu,et al.  Elementary Mode Analysis for the Rational Design of Efficient Succinate Conversion from Glycerol by Escherichia coli , 2010, Journal of biomedicine & biotechnology.

[62]  Yun Chen,et al.  Advances in metabolic pathway and strain engineering paving the way for sustainable production of chemical building blocks. , 2013, Current opinion in biotechnology.

[63]  Max G Schubert,et al.  Efficient Multiplexed Integration of Synergistic Alleles and Metabolic Pathways in Yeasts via CRISPR-Cas. , 2015, Cell systems.

[64]  Dan S. Tawfik,et al.  The moderately efficient enzyme: evolutionary and physicochemical trends shaping enzyme parameters. , 2011, Biochemistry.

[65]  D. Hardie,et al.  Regulation of fatty acid synthesis and oxidation by the AMP-activated protein kinase. , 2001, Biochemical Society transactions.

[66]  A. Wach,et al.  The plasma membrane H+ ‐ATPase from yeast , 1991 .

[67]  Ko Willems van Dijk,et al.  FluxModeCalculator: an efficient tool for large-scale flux mode computation , 2016, Bioinform..

[68]  Jörg Stelling,et al.  System-Level Insights into Yeast Metabolism by Thermodynamic Analysis of Elementary Flux Modes , 2012, PLoS Comput. Biol..

[69]  Gregg T. Beckham,et al.  Adipic acid production from lignin , 2015 .

[70]  N. Arneborg,et al.  Measurement of the Effects of Acetic Acid and Extracellular pH on Intracellular pH of Nonfermenting, IndividualSaccharomyces cerevisiae Cells by Fluorescence Microscopy , 1998, Applied and Environmental Microbiology.

[71]  S. Panke,et al.  Putative regulatory sites unraveled by network-embedded thermodynamic analysis of metabolome data , 2006, Molecular systems biology.

[72]  Ronan M. T. Fleming,et al.  Consistent Estimation of Gibbs Energy Using Component Contributions , 2013, PLoS Comput. Biol..

[73]  H. Waterham,et al.  The peroxisomal lumen in Saccharomyces cerevisiae is alkaline , 2004, Journal of Cell Science.

[74]  S. Ferguson ATP synthase: From sequence to ring size to the P/O ratio , 2010, Proceedings of the National Academy of Sciences.

[75]  C. Ching,et al.  Genome‐scale metabolic modeling and in silico analysis of lipid accumulating yeast Candida tropicalis for dicarboxylic acid production , 2016, Biotechnology and bioengineering.

[76]  L. Bisson,et al.  Expression of kinase-dependent glucose uptake in Saccharomyces cerevisiae , 1984, Journal of bacteriology.

[77]  Tae Seok Moon,et al.  Production of Glucaric Acid from a Synthetic Pathway in Recombinant Escherichia coli , 2009, Applied and Environmental Microbiology.

[78]  J. Hiltunen,et al.  Transfer of metabolites across the peroxisomal membrane. , 2012, Biochimica et biophysica acta.

[79]  John R. Dorgan,et al.  cis,cis-Muconic acid: separation and catalysis to bio-adipic acid for nylon-6,6 polymerization , 2016 .

[80]  C. Wittmann,et al.  First and Second Generation Production of Bio‐Adipic Acid , 2014 .

[81]  C. Weber,et al.  Biosynthesis of cis,cis-Muconic Acid and Its Aromatic Precursors, Catechol and Protocatechuic Acid, from Renewable Feedstocks by Saccharomyces cerevisiae , 2012, Applied and Environmental Microbiology.

[82]  Fabrizio Cavani,et al.  Sustainable Industrial Chemistry , 2009 .

[83]  E. Padan,et al.  Escherichia coli intracellular pH, membrane potential, and cell growth , 1984, Journal of bacteriology.

[84]  J. Russell,et al.  The ability of Escherichia coli O157:H7 to decrease its intracellular pH and resist the toxicity of acetic acid. , 1997, Microbiology.

[85]  Ron Milo,et al.  eQuilibrator—the biochemical thermodynamics calculator , 2011, Nucleic Acids Res..

[86]  Ronan M. T. Fleming,et al.  Quantitative assignment of reaction directionality in constraint-based models of metabolism: application to Escherichia coli. , 2009, Biophysical chemistry.

[87]  Qipeng Yuan,et al.  A Novel Muconic Acid Biosynthesis Approach by Shunting Tryptophan Biosynthesis via Anthranilate , 2013, Applied and Environmental Microbiology.

[88]  K. Prather,et al.  Improvement of glucaric acid production in E. coli via dynamic control of metabolic fluxes , 2015, Metabolic engineering communications.

[89]  R. Alberty Thermodynamics of Biochemical Reactions: Alberty/Thermodynamics , 2005 .

[90]  Alexander Steinbüchel,et al.  Optimization of cyanophycin production in recombinant strains of Pseudomonas putida and Ralstonia eutropha employing elementary mode analysis and statistical experimental design , 2006, Biotechnology and bioengineering.

[91]  S. Schuster,et al.  ON ELEMENTARY FLUX MODES IN BIOCHEMICAL REACTION SYSTEMS AT STEADY STATE , 1994 .

[92]  Kyongbum Lee,et al.  Utilizing elementary mode analysis, pathway thermodynamics, and a genetic algorithm for metabolic flux determination and optimal metabolic network design , 2010, BMC Systems Biology.

[93]  Xiao-Xia Xia,et al.  Direct biosynthesis of adipic acid from a synthetic pathway in recombinant Escherichia coli. , 2014, Biotechnology and bioengineering.

[94]  S. Schuster,et al.  How important is thermodynamics for identifying elementary flux modes? , 2017, PloS one.

[95]  Lake-Ee Quek,et al.  Network thermodynamic curation of human and yeast genome-scale metabolic models. , 2014, Biophysical journal.

[96]  Edith D. Wong,et al.  Saccharomyces Genome Database: the genomics resource of budding yeast , 2011, Nucleic Acids Res..

[97]  V. Hatzimanikatis,et al.  Thermodynamics-based metabolic flux analysis. , 2007, Biophysical journal.

[98]  Activating C4-dicarboxylate transporters DcuB and DcuC for improving succinate production , 2014, Applied Microbiology and Biotechnology.