Abstract
Synthetic biology has come a long way from constructing simple regulatory element to de novo pathway construction in heterologous host chassis. This is achieved by the transfer of the desired pathway from a rare organism to an organism that can be readily genetically engineered. These developments have great potential for application in biosynthesis of drugs, biofuels and bulk chemicals from simple and inexpensive starting material. As the complexity within a re-engineered system increases, there is an increasing need for efficient computational tools that can support them. Myriad of algorithms are available and are being developed that aid the re-engineering of pathways that help select and prioritize pathways, optimize enzyme performance, select parts for constructing the pathway, metabolic modelling and flux analysis and final integration into the chassis. This chapter gives a gist into the development of de novo pathway, the bioinformatics tools available, future challenges and research efforts needed for the implementation of synthetic biology for the production of key metabolites.
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References
Schwille P, Diez S (2009) Synthetic biology of minimal systems. Crit Rev Biochem Mol Biol 44(4):223–242
Porcar M, Danchin A, de Lorenzo V, Dos Santos VA, Krasnogor N, Rasmussen S, Moya A (2011) The ten grand challenges of synthetic life. Syst Synth Biol 5(1–2):1–9
Glass JI, Assad-Garcia N, Alperovich N, Yooseph S, Lewis MR, Maruf M, Hutchison CA, Smith HO, Venter JC (2006) Essential genes of a minimal bacterium. Proc Natl Acad Sci U S A 103(2):425–430
Lartigue C, Glass JI, Alperovich N, Pieper R, Parmar PP, Hutchison CA, Smith HO, Venter JC (2007) Genome transplantation in bacteria: changing one species to another. Science 317(5838):632–638
Gibson DG, Glass JI, Lartigue C, Noskov VN, Chuang RY, Algire MA, Benders GA, Montague MG, Ma L, Moodie MM, Merryman C (2010) Creation of a bacterial cell controlled by a chemically synthesized genome. Science 329(5987):52–56
McArthur GH, Fong SS (2009) Toward engineering synthetic microbial metabolism. BioMed Res Int 14:2010
Mushegian AR, Koonin EV (1996) A minimal gene set for cellular life derived by comparison of complete bacterial genomes. Proc Natl Acad Sci 93(19):10268–10273
Zhang LY, Chang SH, Wang J (2010) How to make a minimal genome for synthetic minimal cell. Protein Cell 1(5):427–434
Acevedo-Rocha CG, Fang G, Schmidt M, Ussery DW, Danchin A (2013) From essential to persistent genes: a functional approach to constructing synthetic life. Trends Genet 29(5):273–279
Salama NR, Shepherd B, Falkow S (2004) Global transposon mutagenesis and essential gene analysis of Helicobacter pylori. J Bacteriol 186(23):7926–7935
French CT, Lao P, Loraine AE, Matthews BT, Yu H, Dybvig K (2008) Large‐scale transposon mutagenesis of Mycoplasma pulmonis. Mol Microbiol 69(1):67–76
Forsyth R, Haselbeck RJ, Ohlsen KL, Yamamoto RT, Xu H, Trawick JD, Wall D, Wang L, Brown‐Driver V, Froelich JM, King P (2002) A genome‐wide strategy for the identification of essential genes in Staphylococcus aureus. Mol Microbiol 43(6):1387–1400
Herring CD, Glasner JD, Blattner FR (2003) Gene replacement without selection: regulated suppression of amber mutations in Escherichia coli. Gene 311:153–163
Kobayashi K, Ehrlich SD, Albertini A, Amati G, Andersen KK, Arnaud M, Asai K, Ashikaga S, Aymerich S, Bessieres P, Boland F (2003) Essential Bacillus subtilis genes. Proc Natl Acad Sci 100(8):4678–4683
Fehér T, Papp B, Pál C, Pósfai G (2007) Systematic genome reductions: theoretical and experimental approaches. Chem Rev 107(8):3498–3513
Puchałka J, Oberhardt MA, Godinho M, Bielecka A, Regenhardt D, Timmis KN, Papin JA, dos Santos VA (2008) Genome-scale reconstruction and analysis of the Pseudomonas putida KT2440 metabolic network facilitates applications in biotechnology. PLoS Comput Biol 4(10):e1000210
Christian N, May P, Kempa S, Handorf T, Ebenhöh O (2009) An integrative approach towards completing genome-scale metabolic networks. Mol BioSyst 5(12):1889–1903
Zhang Y, Thiele I, Weekes D, Li Z, Jaroszewski L, Ginalski K, Deacon AM, Wooley J, Lesley SA, Wilson IA, Palsson B (2009) Three-dimensional structural view of the central metabolic network of Thermotoga maritima. Science 325(5947):1544–1549
Price ND, Reed JL, Palsson BØ (2004) Genome-scale models of microbial cells: evaluating the consequences of constraints. Nat Rev Microbiol 2(11):886–897
Holzhütter S, Holzhütter HG (2004) Computational design of reduced metabolic networks. Chembiochem 5(10):1401–1422
Brunk E, Neri M, Tavernelli I, Hatzimanikatis V, Rothlisberger U (2012) Integrating computational methods to retrofit enzymes to synthetic pathways. Biotechnol Bioeng 109:572–582
Carbonell P, Planson AG, Fichera D, Faulon JL (2011) A retrosynthetic biology approach to metabolic pathway design for therapeutic production. BMC Syst Biol 5:122
Cho A, Yun H, Park JHH, Lee SYY, Park S (2010) Prediction of novel synthetic pathways for the production of desired chemicals. BMC Syst Biol 4:35
Bachmann BO (2010) Biosynthesis: is it time to go retro? Nat Chem Biol 6:390–393
Cook A, Johnson P, Law J, Mirzazadeh M, Ravitz O, Simon A (2012) Computer-aided synthesis design: 40 years on. WIREs Comput Mol Sci 2:79–107
Edwards JS, Ibarra RU, Palsson BO (2001) In silico predictions of Escherichia coli metabolic capabilities are consistent with experimental data. Nat Biotechnol 19(2):125–130
Park JH, Lee KH, Kim TY, Lee SY (2007) Metabolic engineering of Escherichia coli for the production of L-valine based on transcriptome analysis and in silico gene knockout simulation. Proc Natl Acad Sci 104(19):7797–7802
Martin VJ, Pitera DJ, Withers ST, Newman JD, Keasling JD (2003) Engineering a mevalonate pathway in Escherichia coli for production of terpenoids. Nat Biotechnol 21(7):796–802
Kizer L, Pitera DJ, Pfleger BF, Keasling JD (2008) Application of functional genomics to pathway optimization for increased isoprenoid production. Appl Environ Microbiol 74(10):3229–3241
Alper H, Moxley J, Nevoigt E, Fink GR, Stephanopoulos G (2006) Engineering yeast transcription machinery for improved ethanol tolerance and production. Science 314(5805):1565–1568
Brochado AR, Matos C, Møller BL, Hansen J, Mortensen UH, Patil KR (2010) Improved vanillin production in baker’s yeast through in silico design. Microb Cell Factories 9(1):1
Galdzicki M, Rodriguez C, Chandran D, Sauro HM, Gennari JH (2011) Standard biological parts knowledgebase. PLoS ONE 6(2):e17005
Medema MH, Breitling R, Bovenberg R, Takano E (2011) Exploiting plug-and-play synthetic biology for drug discovery and production in microorganisms. Nat Rev Microbiol 9(2):131–137
Heneghan MN, Yakasai AA, Halo LM, Song Z, Bailey AM, Simpson TJ, Cox RJ, Lazarus CM (2010) First heterologous reconstruction of a complete functional fungal biosynthetic multigene cluster. ChemBioChem 11(11):1508–1512
Hatzimanikatis V, Li C, Ionita JA, Henry CS, Jankowski MD, Broadbelt LJ (2005) Exploring the diversity of complex metabolic networks. Bioinformatics 21(8):1603–1609
Rodrigo G, Carrera J, Prather KJ, Jaramillo A (2008) DESHARKY: automatic design of metabolic pathways for optimal cell growth. Bioinformatics 24(21):2554–2556
Chou CH, Chang WC, Chiu CM, Huang CC, Huang HD (2009) FMM: a web server for metabolic pathway reconstruction and comparative analysis. Nucleic Acids Res 37(suppl 2):W129–W134
Pharkya P, Burgard AP, Maranas CD (2004) OptStrain: a computational framework for redesign of microbial production systems. Genome Res 14(11):2367–2376
Wang K, Neumann H, Peak-Chew SY, Chin JW (2007) Evolved orthogonal ribosomes enhance the efficiency of synthetic genetic code expansion. Nat Biotechnol 25(7):770–777
Mavromatis K, Chu K, Ivanova N, Hooper SD, Markowitz VM, Kyrpides NC (2009) Gene context analysis in the Integrated Microbial Genomes (IMG) data management system. PLoS ONE 4(11):e7979
Medema MH, Blin K, Cimermancic P, de Jager V, Zakrzewski P, Fischbach MA, Weber T, Takano E, Breitling R (2011) antiSMASH: rapid identification, annotation and analysis of secondary metabolite biosynthesis gene clusters in bacterial and fungal genome sequences. Nucleic Acids Res 39(suppl 2):W339–W346
Kanehisa M, Goto S, Kawashima S, Nakaya A (2002) The KEGG databases at GenomeNet. Nucleic Acids Res 30(1):42–46
Salis HM, Mirsky EA, Voigt CA (2009) Automated design of synthetic ribosome binding sites to control protein expression. Nat Biotechnol 27(10):946–950
Na D, Lee D (2010) RBSDesigner: software for designing synthetic ribosome binding sites that yields a desired level of protein expression. Bioinformatics 26(20):2633–2634
Villalobos A, Ness JE, Gustafsson C, Minshull J, Govindarajan S (2006) Gene designer: a synthetic biology tool for constructing artificial DNA segments. BMC Bioinformatics 7(1):285
Czar MJ, Cai Y, Peccoud J (2009) Writing DNA with GenoCAD™. Nucleic Acids Res 37(suppl 2):W40–W47
Hoover DM, Lubkowski J (2002) DNAWorks: an automated method for designing oligonucleotides for PCR-based gene synthesis. Nucleic Acids Res 30(10):e43
Bode M, Khor S, Ye H, Li MH, Ying JY (2009) TmPrime: fast, flexible oligonucleotide design software for gene synthesis. Nucleic Acids Res 37:W214–W221
Lee PA, Dymond JS, Scheifele LZ, Richardson SM, Foelber KJ, Boeke JD, Bader JS (2010) CLONEQC: lightweight sequence verification for synthetic biology. Nucleic Acids Res 38:2617–2623
Goler (2004) BioJADE: a design and simulation tool for synthetic biological systems. Master’s thesis, MIT, MIT Computer Science and Artificial Intelligence Laboratory, May 2004
Flouris M, Bilas A (2004) Clotho: transparent data versioning at the block I/O level. In MSST:315–328
Rodrigo G, Carrera J, Jaramillo A (2007) Asmparts: assembly of biological model parts. Syst Synth Biol 1(4):167–170
Weeding E, Houle J, Kaznessis YN (2010) SynBioSS designer: a web-based tool for the automated generation of kinetic models for synthetic biological constructs. Brief Bioinform 11(4):394–402
Funahashi A, Morohashi M, Kitano H, Tanimura N (2003) Cell designer: a process diagram editor for gene-regulatory and biochemical networks. Biosilico 1(5):159–162
Becker SA, Feist AM, Mo ML, Hannum G, Palsson BØ, Herrgard MJ (2007) Quantitative prediction of cellular metabolism with constraint-based models: the COBRA Toolbox. Nat Protoc 2(3):727–738
Gevorgyan A, Bushell ME, Avignone-Rossa C, Kierzek AM (2011) SurreyFBA: a command line tool and graphics user interface for constraint-based modeling of genome-scale metabolic reaction networks. Bioinformatics 27(3):433–434
Le Fèvre F, Smidtas S, Combe C, Durot M, d’Alché-Buc F, Schachter V (2009) CycSim—an online tool for exploring and experimenting with genome-scale metabolic models. Bioinformatics 25(15):1987–1988
Cvijovic M, Olivares-Hernández R, Agren R, Dahr N, Vongsangnak W, Nookaew I, Patil KR, Nielsen J (2010) BioMet toolbox: genome-wide analysis of metabolism. Nucleic Acids Res 38(suppl 2):W144–W149
Yamada T, Letunic I, Okuda S, Kanehisa M, Bork P (2011) iPath2. 0: interactive pathway explorer. Nucleic Acids Res 39(suppl 2):W412–W415
Bates JT, Chivian D, Arkin AP (2011) GLAMM: genome-linked application for metabolic maps. Nucleic Acids Res 38:W400–W405
Wang HH, Isaacs FJ, Carr PA, Sun ZZ, Xu G, Forest CR, Church GM (2009) Programming cells by multiplex genome engineering and accelerated evolution. Nature 460(7257):894–898
Pósfai G, Plunkett G, Fehér T, Frisch D, Keil GM, Umenhoffer K, Kolisnychenko V, Stahl B, Sharma SS, De Arruda M, Burland V (2006) Emergent properties of reduced-genome Escherichia coli. Science 312(5776):1044–1046
Jensen PR, Hammer K (1998) The sequence of spacers between the consensus sequences modulates the strength of prokaryotic promoters. Appl Environ Microbiol 64(1):82–87
Smolke CD, Carrier TA, Keasling JD (2000) Coordinated, differential expression of two genes through directed mRNA cleavage and stabilization by secondary structures. Appl Environ Microbiol 66(12):5399–5405
Farmer WR, Liao JC (2000) Improving lycopene production in Escherichia coli by engineering metabolic control. Nat Biotechnol 18(5):533–537
Alper H, Stephanopoulos G (2007) Global transcription machinery engineering: a new approach for improving cellular phenotype. Metab Eng 9(3):258–267
Pfleger BF, Pitera DJ, Smolke CD, Keasling JD (2006) Combinatorial engineering of intergenic regions in operons tunes expression of multiple genes. Nat Biotechnol 24(8):1027–1032
Keasling JD (2010) Manufacturing molecules through metabolic engineering. Science 330(6009):1355–1358
Ro DK, Paradise EM, Ouellet M, Fisher KJ, Newman KL, Ndungu JM, Ho KA, Eachus RA, Ham TS, Kirby J, Chang MC (2006) Production of the antimalarial drug precursor artemisinic acid in engineered yeast. Nature 440(7086):940–943
Chang MC, Eachus RA, Trieu W, Ro DK, Keasling JD (2007) Engineering Escherichia coli for production of functionalized terpenoids using plant P450s. Nat Chem Biol 3(5):274–277
Dietrich JA, Yoshikuni Y, Fisher KJ, Woolard FX, Ockey D, McPhee DJ, Renninger NS, Chang MC, Baker D, Keasling JD (2009) A novel semi-biosynthetic route for artemisinin production using engineered substrate-promiscuous P450BM3. ACS Chem Biol 4(4):261–267
Ajikumar PK, Xiao WH, Tyo KE, Wang Y, Simeon F, Leonard E, Mucha O, Phon TH, Pfeifer B, Stephanopoulos G (2010) Isoprenoid pathway optimization for Taxol precursor overproduction in Escherichia coli. Science 330(6000):70–74
Müller U, Van Assema F, Gunsior M, Orf S, Kremer S, Schipper D, Wagemans A, Townsend CA, Sonke T, Bovenberg R, Wubbolts M (2006) Metabolic engineering of the E. colil-phenylalanine pathway for the production of d-phenylglycine (d-Phg). Metab Eng 8(3):196–208
Karlsson M, Weber W (2012) Therapeutic synthetic gene networks. Curr Opin Biotechnol. doi:10.1016/j.copbio.2012.1001.1003
Ruder WC, Lu T, Collins JJ (2011) Synthetic biology moving into the clinic. Science 333:1248–1252
Weber W, Fussenegger M (2012) Emerging biomedical applications of synthetic biology. Nat Rev Genet 13:21–35
Ye H, Daoud-El Baba M, Peng RW, Fussenegger M (2011) A synthetic optogenetic transcription device enhances blood-glucose homeostasis in mice. Science 332:1565–1568
Xie Z, Wroblewska L, Prochazka L, Weiss R, Benenson Y (2011) Multiinput RNAi-based logic circuit for identification of specific cancer cells. Science 333:1307–1311
Kemmer C, Gitzinger M, Daoud-El Baba M, Djonov V, Stelling J, Fussenegger M (2010) Self-sufficient control of urate homeostasis in mice by a synthetic circuit. Nat Biotechnol 28:355–360
Hanai T, Atsumi S, Liao JC (2007) Engineered synthetic pathway for isopropanol production in Escherichia coli. Appl Environ Microbiol 73(24):7814–7818
Atsumi S, Hanai T, Liao JC (2008) Non-fermentative pathways for synthesis of branched-chain higher alcohols as biofuels. Nature 451(7174):86–89
Steen EJ, Kang Y, Bokinsky G, Hu Z, Schirmer A, McClure A, Del Cardayre SB, Keasling JD (2010) Microbial production of fatty-acid-derived fuels and chemicals from plant biomass. Nature 463(7280):559–562
Bayer TS, Widmaier DM, Temme K, Mirsky EA, Santi DV, Voigt CA (2009) Synthesis of methyl halides from biomass using engineered microbes. J Am Chem Soc 131(18):6508–6515
Dunlop MJ, Dossani ZY, Szmidt HL, Chu HC, Lee TS, Keasling JD, Hadi MZ, Mukhopadhyay A (2011) Engineering microbial biofuel tolerance and export using efflux pumps. Mol Syst Biol 1:7(1)
Prather KL, Martin CH (2008) De novo biosynthetic pathways: rational design of microbial chemical factories. Curr Opin Biotechnol 19(5):468–474
Siegel JB, Zanghellini A, Lovick HM, Kiss G, Lambert AR, Clair JL, Gallaher JL, Hilvert D, Gelb MH, Stoddard BL, Houk KN (2010) Computational design of an enzyme catalyst for a stereoselective bimolecular Diels-Alder reaction. Science 329(5989):309–313
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Mol, M., Mandlik, V., Singh, S. (2016). Microbial Chassis Assisting Retrosynthesis. In: Singh, S. (eds) Systems Biology Application in Synthetic Biology. Springer, New Delhi. https://doi.org/10.1007/978-81-322-2809-7_1
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DOI: https://doi.org/10.1007/978-81-322-2809-7_1
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