Towards universal synthetic heterotrophy using a metabolic coordinator

Engineering the utilization of non-native substrates, or synthetic heterotrophy, in proven industrial microbes such as Saccharomyces cerevisiae represents an opportunity to valorize plentiful and renewable sources of carbon and energy as potential inputs to biotechnological processes. We previously demonstrated that activation of the galactose (GAL) regulon, a regulatory structure used by this yeast to coordinate substrate utilization with biomass formation during growth on galactose, during growth on the non-native substrate xylose results in a vastly altered gene expression profile and faster growth compared with constitutive overexpression of the same heterologous catabolic pathway. However, this effort involved the creation of a xylose-inducible variant of Gal3p (Gal3pS25144.1), the sensor protein of the GAL regulon, preventing this semi-synthetic regulon approach from being easily adapted to additional non-native substrates. Here, we report the construction of a variant Gal3pMC (metabolic coordinator) that exhibits robust GAL regulon activation in the presence of structurally diverse substrates and recapitulates the dynamics of the native system. Multiple molecular modeling studies confirm that Gal3pMC occupies conformational states corresponding to galactose-bound Gal3p in an inducer-independent manner. Using Gal3pMC to test a regulon approach to the assimilation of the non-native lignocellulosic sugars xylose, arabinose, and cellobiose yields higher growth rates and final cell densities when compared with a constitutive overexpression of the same set of catabolic genes. The subsequent demonstration of rapid and complete co-utilization of all three non-native substrates suggests that Gal3pMC-mediated dynamic global gene expression changes by GAL regulon activation may be universally beneficial for engineering synthetic heterotrophy.

[1]  Nikhil U. Nair,et al.  Integration of metabolism and regulation reveals rapid adaptability to growth on non-native substrates , 2023, bioRxiv.

[2]  J. Keasling,et al.  A synthetic promoter system for well-controlled protein expression with different carbon sources in Saccharomyces cerevisiae , 2021, Microbial Cell Factories.

[3]  J. Nielsen,et al.  Metabolic network remodelling enhances yeast’s fitness on xylose using aerobic glycolysis , 2021, Nature Catalysis.

[4]  A. Blomberg,et al.  A CRISPR Interference Screen of Essential Genes Reveals that Proteasome Regulation Dictates Acetic Acid Tolerance in Saccharomyces cerevisiae , 2021, mSystems.

[5]  Fuzhong Zhang,et al.  Dynamic control in metabolic engineering: Theories, tools, and applications , 2020, Metabolic engineering.

[6]  D. Nielsen,et al.  Catabolic Division of Labor Enhances Production of D-Lactate and Succinate From Glucose-Xylose Mixtures in Engineered Escherichia coli Co-culture Systems , 2020, Frontiers in Bioengineering and Biotechnology.

[7]  J. Nielsen,et al.  Third-generation biorefineries as the means to produce fuels and chemicals from CO2 , 2020, Nature Catalysis.

[8]  N. Dixon,et al.  Genetically encoded biosensors for lignocellulose valorization , 2019, Biotechnology for Biofuels.

[9]  M. Antoniewicz Synthetic methylotrophy: Strategies to assimilate methanol for growth and chemicals production. , 2019, Current opinion in biotechnology.

[10]  Meirong Gao,et al.  Enhancing the Co-utilization of Biomass-Derived Mixed Sugars by Yeasts , 2019, Front. Microbiol..

[11]  Luke N. Latimer,et al.  Engineering Saccharomyces cerevisiae for co-utilization of d-galacturonic acid and d-glucose from citrus peel waste , 2018, Nature Communications.

[12]  S. Noack,et al.  Elucidating cellular mechanisms of Saccharomyces cerevisiae tolerant to combined lignocellulosic-derived inhibitors using high-throughput phenotyping and multiomics analyses. , 2018, FEMS yeast research.

[13]  K. Fujimori,et al.  Systematic optimization of gene expression of pentose phosphate pathway enhances ethanol production from a glucose/xylose mixed medium in a recombinant Saccharomyces cerevisiae , 2018, AMB Express.

[14]  J. Pronk,et al.  Fermentation of glucose-xylose-arabinose mixtures by a synthetic consortium of single-sugar-fermenting Saccharomyces cerevisiae strains. , 2018, FEMS yeast research.

[15]  Torsten Schwede,et al.  SWISS-MODEL: homology modelling of protein structures and complexes , 2018, Nucleic Acids Res..

[16]  Nikhil U. Nair,et al.  A semi-synthetic regulon enables rapid growth of yeast on xylose , 2018, Nature Communications.

[17]  Huimin Zhao,et al.  RNAi assisted genome evolution unveils yeast mutants with improved xylose utilization , 2018, Biotechnology and bioengineering.

[18]  James M. Clomburg,et al.  Industrial biomanufacturing: The future of chemical production , 2017, Science.

[19]  Zhixia Ye,et al.  Large-scale bioprocess competitiveness: the potential of dynamic metabolic control in two-stage fermentations , 2016 .

[20]  LangholtzMatthew,et al.  2016 Billion-Ton Report: Advancing Domestic Resources for a Thriving Bioeconomy (Executive Summary) , 2016 .

[21]  Jeffrey M. Skerker,et al.  Rapid and efficient galactose fermentation by engineered Saccharomyces cerevisiae. , 2016, Journal of biotechnology.

[22]  Fuzhong Zhang,et al.  Exploiting nongenetic cell-to-cell variation for enhanced biosynthesis. , 2016, Nature chemical biology.

[23]  J. Keasling,et al.  Engineering Cellular Metabolism , 2016, Cell.

[24]  Na Wei,et al.  Improved Acetic Acid Resistance in Saccharomyces cerevisiae by Overexpression of the WHI2 Gene Identified through Inverse Metabolic Engineering , 2016, Applied and Environmental Microbiology.

[25]  J. Nielsen,et al.  Yeast cell factories on the horizon , 2015, Science.

[26]  Berk Hess,et al.  GROMACS: High performance molecular simulations through multi-level parallelism from laptops to supercomputers , 2015 .

[27]  A. Teunissen,et al.  Improved xylose uptake in Saccharomyces cerevisiae due to directed evolution of galactose permease Gal2 for sugar co‐consumption , 2015, Journal of applied microbiology.

[28]  Claudia E Vickers,et al.  Controlling heterologous gene expression in yeast cell factories on different carbon substrates and across the diauxic shift: a comparison of yeast promoter activities , 2015, Microbial Cell Factories.

[29]  Swapnil Bhatia,et al.  Functional optimization of gene clusters by combinatorial design and assembly , 2014, Nature Biotechnology.

[30]  Luke N. Latimer,et al.  Employing a combinatorial expression approach to characterize xylose utilization in Saccharomyces cerevisiae. , 2014, Metabolic engineering.

[31]  G. Stephanopoulos,et al.  Improving fatty acids production by engineering dynamic pathway regulation and metabolic control , 2014, Proceedings of the National Academy of Sciences.

[32]  Rajendra Kumar,et al.  g_mmpbsa - A GROMACS Tool for High-Throughput MM-PBSA Calculations , 2014, J. Chem. Inf. Model..

[33]  K. Venkatesh,et al.  GAL regulon of Saccharomyces cerevisiae performs optimally to maximize growth on galactose. , 2014, FEMS yeast research.

[34]  J. Keasling,et al.  Engineering dynamic pathway regulation using stress-response promoters , 2013, Nature Biotechnology.

[35]  Jeffrey M. Skerker,et al.  Rational and Evolutionary Engineering Approaches Uncover a Small Set of Genetic Changes Efficient for Rapid Xylose Fermentation in Saccharomyces cerevisiae , 2013, PloS one.

[36]  Huimin Zhao,et al.  Combinatorial Design of a Highly Efficient Xylose-Utilizing Pathway in Saccharomyces cerevisiae for the Production of Cellulosic Biofuels , 2012, Applied and Environmental Microbiology.

[37]  Ophelia S. Venturelli,et al.  Synergistic dual positive feedback loops established by molecular sequestration generate robust bimodal response , 2012, Proceedings of the National Academy of Sciences.

[38]  Gregory Stephanopoulos,et al.  Xylose isomerase overexpression along with engineering of the pentose phosphate pathway and evolutionary engineering enable rapid xylose utilization and ethanol production by Saccharomyces cerevisiae. , 2012, Metabolic engineering.

[39]  H. Alper,et al.  Directed Evolution of Xylose Isomerase for Improved Xylose Catabolism and Fermentation in the Yeast Saccharomyces cerevisiae , 2012, Applied and Environmental Microbiology.

[40]  J. Keasling,et al.  Design of a dynamic sensor-regulator system for production of chemicals and fuels derived from fatty acids , 2012, Nature Biotechnology.

[41]  L. Joshua-Tor,et al.  The Gal3p transducer of the GAL regulon interacts with the Gal80p repressor in its ligand-induced closed conformation. , 2012, Genes & development.

[42]  Yong-Su Jin,et al.  Engineered Saccharomyces cerevisiae capable of simultaneous cellobiose and xylose fermentation , 2010, Proceedings of the National Academy of Sciences.

[43]  Francesca Fanelli,et al.  Wordom: A User-Friendly Program for the Analysis of Molecular Structures, Trajectories, and Free Energy Surfaces , 2010, J. Comput. Chem..

[44]  Huimin Zhao,et al.  Overcoming glucose repression in mixed sugar fermentation by co-expressing a cellobiose transporter and a β-glucosidase in Saccharomyces cerevisiae. , 2010, Molecular bioSystems.

[45]  Albert J. Vilella,et al.  Cellodextrin Transport in Yeast for Improved Biofuel Production , 2010, Science.

[46]  Keith E. J. Tyo,et al.  Isoprenoid Pathway Optimization for Taxol Precursor Overproduction in Escherichia coli , 2010, Science.

[47]  Oskar Bengtsson,et al.  Improved xylose and arabinose utilization by an industrial recombinant Saccharomyces cerevisiae strain using evolutionary engineering , 2010, Biotechnology for biofuels.

[48]  Ruth Nussinov,et al.  FiberDock: a web server for flexible induced-fit backbone refinement in molecular docking , 2010, Nucleic Acids Res..

[49]  H. Wolfson,et al.  FiberDock: Flexible induced‐fit backbone refinement in molecular docking , 2010, Proteins.

[50]  Juan M. Vaquerizas,et al.  Comprehensive reanalysis of transcription factor knockout expression data in Saccharomyces cerevisiae reveals many new targets , 2010, Nucleic acids research.

[51]  R. Dror,et al.  Improved side-chain torsion potentials for the Amber ff99SB protein force field , 2010, Proteins.

[52]  M. Tuckerman,et al.  Efficient and direct generation of multidimensional free energy surfaces via adiabatic dynamics without coordinate transformations. , 2008, The journal of physical chemistry. B.

[53]  Sarah A. Lee,et al.  A co-fermentation strategy to consume sugar mixtures effectively , 2008, Journal of biological engineering.

[54]  R. O’Keefe,et al.  A new series of yeast shuttle vectors for the recovery and identification of multiple plasmids from Saccharomyces cerevisiae , 2007, Yeast.

[55]  P. Mayinger Faculty Opinions recommendation of Growth control of the eukaryote cell: a systems biology study in yeast. , 2007 .

[56]  Jack T. Pronk,et al.  Engineering of Saccharomyces cerevisiae for Efficient Anaerobic Alcoholic Fermentation of l-Arabinose , 2007, Applied and Environmental Microbiology.

[57]  I. Sadowski,et al.  Disintegrator vectors for single‐copy yeast chromosomal integration , 2007, Yeast.

[58]  D. Hoyle,et al.  Growth control of the eukaryote cell: a systems biology study in yeast , 2007, Journal of biology.

[59]  T. Jeffries,et al.  Transposon Mutagenesis To Improve the Growth of Recombinant Saccharomyces cerevisiae on d-Xylose , 2007, Applied and Environmental Microbiology.

[60]  Ruth Nussinov,et al.  PatchDock and SymmDock: servers for rigid and symmetric docking , 2005, Nucleic Acids Res..

[61]  Ian J. Bush,et al.  The GAMESS-UK electronic structure package: algorithms, developments and applications , 2005 .

[62]  Conrad C. Huang,et al.  UCSF Chimera—A visualization system for exploratory research and analysis , 2004, J. Comput. Chem..

[63]  C. Roca,et al.  Engineering of carbon catabolite repression in recombinant xylose fermenting Saccharomyces cerevisiae , 2004, Applied Microbiology and Biotechnology.

[64]  Ruth Nussinov,et al.  Efficient Unbound Docking of Rigid Molecules , 2002, WABI.

[65]  L. Hood,et al.  Complementary Profiling of Gene Expression at the Transcriptome and Proteome Levels in Saccharomyces cerevisiae*S , 2002, Molecular & Cellular Proteomics.

[66]  Nathan A. Baker,et al.  Electrostatics of nanosystems: Application to microtubules and the ribosome , 2001, Proceedings of the National Academy of Sciences of the United States of America.

[67]  C. Hollenberg,et al.  The molecular genetics of hexose transport in yeasts. , 1997, FEMS microbiology reviews.

[68]  J. Hopper,et al.  Novel Gal3 proteins showing altered Gal80p binding cause constitutive transcription of Gal4p-activated genes in Saccharomyces cerevisiae , 1997, Molecular and cellular biology.

[69]  C. Kurland,et al.  Bacterial growth inhibition by overproduction of protein , 1996, Molecular microbiology.

[70]  P. J. Bhat,et al.  Overproduction of the GAL1 or GAL3 protein causes galactose-independent activation of the GAL4 protein: evidence for a new model of induction for the yeast GAL/MEL regulon , 1992, Molecular and cellular biology.

[71]  M. Dante,et al.  Multifunctional yeast high-copy-number shuttle vectors. , 1992, Gene.

[72]  J. Hopper,et al.  Disruption of regulatory gene GAL80 in Saccharomyces cerevisiae: effects on carbon-controlled regulation of the galactose/melibiose pathway genes , 1984, Molecular and cellular biology.

[73]  A. Bearn A new series , 1978 .

[74]  Hao Cai,et al.  An assessment of the potential products and economic and environmental impacts resulting from a billion ton bioeconomy , 2017 .

[75]  R. D. Gietz,et al.  Yeast transformation by the LiAc/SS carrier DNA/PEG method. , 2014, Methods in molecular biology.

[76]  Matthew J. Brauer,et al.  Coordination of growth rate, cell cycle, stress response, and metabolic activity in yeast. , 2008, Molecular biology of the cell.

[77]  John J. Wyrick,et al.  Genome-wide location and function of DNA binding proteins. , 2000, Science.