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Research article
Reconstitution of the Mevalonate Pathway for Improvement of Isoprenoid Production and Industrial Applicability in Escherichia coli
1Anti-aging Bio Cell factory Regional Leading Research Center, Gyeongsang National University, Jinju 52828, Republic of Korea
2Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju 52828, Republic of Korea
3School of Biology and Basic Medical Sciences, Soochow University, Suzhou 215123, People's Republic of China
4Research Institute of Molecular Alchemy (RIMA), Gyeongsang National University, Jinju 52828, Republic of Korea
5Plant Molecular Biology & Biotechnology Research Center, Gyeongsang National University, Jinju 52828, Republic of Korea
J. Microbiol. Biotechnol. 2024; 34(11): 2338-2346
Published November 28, 2024 https://doi.org/10.4014/jmb.2408.08053
Copyright © The Korean Society for Microbiology and Biotechnology.
Abstract
Keywords
Graphical Abstract
Introduction
Isoprenoids (well known as terpenoids) are the most abundant natural products, which contain more than 65,000 compounds with many biological functions and wide industrial applicability [1, 2]. They play a vital role in all organisms with intra- and intercellular activities, from cell integrity to energy supply: structural cholesterol and steroid hormones in mammals, photosynthetic pigments (phytol, carotenoids, etc.) in plants and ubiquinone, plastoquinone in bacteria, and mediators of polysaccharide assembly, communication and defense mechanisms [2, 3]. With the aforementioned various biological functions, they are industry-relevant chemicals: colorants, flavors, fragrances, plant hormones (agriculture), nutraceuticals, pharmaceuticals, industrial chemicals, and fuel/fuel additives [4, 5]. Despite their structural diversities, all isoprenoid biosynthesis is generated from the simple C5 building blocks, isopentenyl diphosphate (IPP) and dimethylallyl diphosphate (DMAPP). Both precursors are synthesized by two distinct biosynthetic pathways, MEP and MVA pathways. The MEP pathway, which starts from the condensation of glyceraldehyde 3-phosphate (G3P) and pyruvate, is generally present in most eubacteria, photosynthetic bacteria, and plastids in plants, while the MVA pathway, beginning with acetyl-CoA, is found in most eukaryotes, archaea, and cytosol in plants. Because microorganisms only possess either pathway, they have been engineered to utilize both pathways to improve various isoprenoid production [6]. Recent advancements in the metabolic engineering of microorganisms with synthetic biology and systems biology have resulted in successful industrial microbial cell factories (MCF) [7] and have gained increased attention in microbial-based isoprenoid production [2, 8, 9]. Microbial-based chemical production has many advantages over traditional extraction and chemical synthesis methods in the manner of environmental concerns and sustainability [10, 11].
Materials and Methods
Bacterial Strains and Culture Conditions
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Table 1 . Plasmids and strains used in this study.
Plasmids Description Ref. pSTV28 Plac, pACYC184 ori, lacZ , CmrTakara Co., Ltd. pTrc99A Ptrc, pBR322 ori, lacIq, Ampr Amersham Biosci. pSNA pSTV28 containing mvaE andmvaS ofE. faecalis ,mvaK1 ,mvaK2 , andmvaD ofS. pneumoniae , andidi ofE. coli [2] pT-LYCm4 pTrc99A with crtE ,crtB , andcrtI ofPantoea agglomerans , andipiHP1 ofH. pluvialis [6] pT-HB pT-LYCm4 with crtY ofPantoea ananatis [7] pSCS1 pSTV28 containing E. coli codon-optimizedEsmvaE andEsmvaS fromE. saccharolyticus ,E. coli codon-optimizederg12 ,erg19 , anderg8 fromS. cerevisiae andidi fromE. coli This study pSCS2 pSTV28 containing E. coli codon-optimizedEsmvaE andEsmvaS fromE. saccharolyticus ,E. coli codon-optimizederg12 ,erg19 , anderg8 fromS. cerevisiae andE. coli codonoptimizedidi fromE. coli This study pSCS3 pSTV28 containing E. coli codon-optimizedEsmvaE andEsmvaS fromE. saccharolyticus ,E. coli codon-optimizederg12 ,erg19 , and erg8 fromS. cerevisiae andE. coli codonoptimizedfni fromB. subtilis This study Strains Description Ref. DH5α F−, ϕ80dlacZΔM15, Δ(lacZYA-argF)U169, deoR, recA1 endA1, hsdR17(rK− mK+), phoA, supE44, λ−, thi-1, gyrA96, relA1 Lab collection pSTV28-pLYC E. coli harboring pSTV28 and pT-LYCm4This study pSNA-pLYC E. coli harboring pSNA and pT-LYCm4This study pSCS1-pLYC E. coli harboring pSCS1 and pT-LYCm4This study pSCS2-pLYC E. coli harboring pSCS2 and pT-LYCm4This study pSCS3-pLYC E. coli harboring pSCS3 and pT-LYCm4This study pSTV28-pβCA E. coli harboring pSTV28 and pT-HBThis study pSNA-pβCA E. coli harboring pSNA and pT-HBThis study pSCS1-pβCA E. coli harboring pSCS1and pT-HBThis study pSCS2-pβCA E. coli harboring pSCS2 and pT-HBThis study pSCS3-pβCA E. coli harboring pSCS3 and pT-HBThis study
Plasmids Construction
Plasmid construction was conducted using
Quantification of Lycopene and β-Carotene Production
To determine lycopene and β-carotene contents, the culture broths after 24 h and 48 h cultivation were centrifuged at 14,000 g for 1 min, and cells were harvested by removing the supernatant. The cells were disrupted by sonication in 1 ml of acetone and incubated at 55°C for 15 min in the dark. Following centrifugation of the extract at 14,000 g for 10 min, the acetone supernatant containing lycopene or β-carotene was transferred to a clean tube.
For the lycopene and β-carotene analysis, standard solutions were prepared by dissolving 1 mg in 1 ml of acetone and 5 mg in 10 ml of acetone, respectively. Calibration curves were obtained using freshly prepared standard solutions in the range of 0.5 to 30 mg/l. The Agilent 1290 Infinity II LC system interfaced with the Agilent Ultivo triple quadrupole mass spectrometer was used for the analysis. To determine lycopene and β-carotene, both standards and samples were separated using an Agilent Infinity Lab Poroshell 120 EC-C18 column (2.1 mm × 50 mm, 1.9 μm) with isocratic methanol/MTBE (95:5 v/v) as the mobile phase. The flow rate and column temperature were set at 0.4 ml/min and 30°C, respectively. The injection volume was 3 μl, and the total LC-MS/MS run time was 7 minutes. For LC-MS/MS analysis of lycopene and β-carotene, both positive ion and negative ion APCI were evaluated. The APCI settings were optimized for lycopene to produce the negatively charged molecular ion (M¯·) at m/z 536.4. Subsequent to collision-induced dissociation (CID) in negative ion mode, the product ion at m/z 467.3 was selectively detected using multiple reaction monitoring (MRM). The MRM dwell time was set at 100 ms. The capillary voltage was optimized at 3500 V, and the corona current was 30 μA. The fragmentor was adjusted to 180 V, and nitrogen was employed as the collision gas with a collision energy of 22 V. The gas temperature was maintained at 300°C, and the vaporizer was set to 350°C. The gas flow was 4.0 L/min, and the nebulizer was set at 40 psi. The APCI parameters for β-carotene were optimized to produce the [M+H]+ ion at m/z 537.5. After subjecting it to CID in positive ion mode, the product ion at m/z 177.1 was specifically detected using MRM. The dwell time for MRM was set at 100 ms. The capillary voltage was adjusted to 4500 V, with a corona current of 4.0 μA. The fragmentor was set to 120 V, and nitrogen served as the collision gas at an energy of 20 V. The gas temperature and vaporizer temperatures were 300°C and 350°C, respectively. The gas flow was regulated at 6.0 L/min, and the nebulizer was set to 40 psi.
Quantification of Mevalonate
The cell cultures after 24 h and 48 h cultivation were centrifuged at 13,000 g for 10 min and the supernatants were only collected. Then the samples were acidified to pH 2 with 3M HCl and incubated at 45°C for 1 h to convert MVA to MVA lactone via acid-catalyzed esterification. Samples were then saturated with anhydrous Na2SO4 and extracted with ethyl acetate spiked with 0.25% veratraldehyde (Alfa Aesar). The solvent layer was used to analyze residual MVA concentration and Agilent Technologies 7890A gas chromatograph equipped with a flame ionization detector (FID) and 19091 N-133I HP-INNOWAX column (length, 30 m; internal diameter, 0.25 mm; film thickness, 250 μm) was used for the analysis. The analytical temperature of the GC was controlled at an initial temperature of 180°C for 1 min, then ramped to 200°C gradually at 2.5°C/min and held for 8 min. The detector temperature was maintained at 250°C.
Fed-Batch Fermentation
To prepare the seed culture, the engineered
Statistical Analysis
Data on carotenoid production and cell-specific productivity from this experiment were statistically analyzed. All data are presented as the mean ± standard deviation (SD) of two or three biological replicates. Statistical significance was determined using the Student’s t-test
Results
Reconstitution of MVA Pathway for E. coli Engineering
Our previous studies have reported improved isoprenoid production with the supply of isoprenoid precursors through the whole MVA pathway expression by introducing the pSNA plasmid in
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Fig. 1. Overall experimental design of this study.
(A) Schematic diagram of carotenoid biosynthesis in
E. coli . The nativeE. coli MEP pathway (right) and exogenous MVA pathway (left) are shown. The biosynthesis of lycopene and β-carotene from the precursors IPP and DMAPP are described (bottom). The genes we introduced using the plasmid system are shown in blue and orange. All genes and their corresponding enzymes are the following;mvaE : acetoacetyl-CoA thiolase/HMG-CoA reductase,mvaS : HMG-CoA synthase,mvaK1/erg12 : mevalonate kinase,mvaK2/erg8 : phosphomevalonate kinase,mvaD/erg19 : mevalonate 5-diphosphate decarboxylase,Idi/ipiHP1 : IPP isomerase,ispA : FPP synthase,crtE : GGPP synthase,crtB : phytoene synthase,crtI : phytoene desaturase,crtY : lycopene cyclase,dxs : DXP synthase,dxr : DXP isomerase reductase. Pathway intermediates G3P: glyceraldehyde 3 phosphate, DXP: 1-deoxy-D-xylose 5 phosphate, MEP: 2-C-methyl-D-erythriol 4-phosphate, HMBPP: 1-hydroxy-2-methyl-2(E) butenyl 4-pyrophosphate, IPP: isopentenyl diphosphate, DMAPP dimethylallyl diphosphate, GPP: geranyl pyrophosphate, FPP: farnesyl diphosphate, GGPP geranylgeranyl diphosphate. (B) Design of MVA pathway constructs we used in this study. Both the pSNA and pSCS constructs were divided into 3 parts: bottom, top, and IPP isomerase. The pSNA construct consisted of the top portion (mvaE andmvaS fromE. faecalis ), the bottom portion (mvaK1 ,mvaD , andmvaK2 fromS. pneumoniae ), andE. coli idi . In the case of the pSCS constructs, the top portion was fromE. saccharolyticus , and the bottom portion was fromS. cerevisiae . IPP isomerase was prepared in 3 different versions: nativeE. coli idi for pSCS1,E. coli codon-optimizedE. coli idi for pSCS2, andB. subtilis fni for pSCS3. C. Plasmid constructs employed in this study to facilitate carotenoid biosynthesis. pT-LYCm4 and pT-HB are introduced inE. coli for lycopene and β-carotene biosynthesis. The pT-LYCm4 containscrtE ,crtB , andcrtI derived fromP. agglomerans and ipiHP1 ofH. pluvialis . The pT-HB was constructed by introducingcrtY fromP. ananatis right next to theipiHP1 into the pT-LYCm4 plasmid construct.
Evaluation of Reconstituted MVA Pathway for Carotenoid Biosynthesis in E. coli
To validate the function and efficiency of pSCS1, 2, and 3 (pSCSs) in
Lycopene Production in
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Fig. 2. Lycopene production and cell growth in test tube culture.
(A) Lycopene production in pSTV28-pLYC (no MVA expression), pSNA-pLYC (BSL2 MVA construct), pSCS1-pLYC, pSCS2-pLYC, and pSCS3-pLYC (BSL1 MVA constructs) after 24 hr and 48 hr cultivation (B) Cell growth measurement at OD600. (C) Cell-specific productivity of lycopene. Data are shown as mean ± SD of three biological replicates. Asterisks in panels A and C indicate statistical significance as follows: * (
p ≤ 0.05), ** (p ≤ 0.01), and *** (p ≤ 0.001), when compared to the pSNA-pLYC strain.
Beta-Carotene Production in
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Fig. 3. β-Carotene production and cell growth in test tube culture.
(A) β-carotene roduction in pSTV28-pβCA (no MVA expression), pSNA-pβCA (BSL2 MVA construct), pSCS1- pβCA, pSCS2- pβCA, and pSCS3-pβCA (BSL1 MVA constructs) after 24 h and 48 h cultivation (B) Cell growth measurement at OD600. (C) Cell-specific productivity of β-carotene. Data are shown as average ± SD of three biological replicates. Asterisks in panels A and C indicate statistical significance as follows: * (
p ≤ 0.05), and ** (p ≤ 0.01), compared to the pSNA-pβCA strain.
MVA Accumulation in Engineered
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Fig. 4. Mevalonate accumulation in lycopene and β-carotene producing
E. coli strains at 24 h and 48 h. Data are shown as average ± SD of three biological replicates. Asterisks indicate statistical significance as follows: * (p ≤ 0.05), ** (p ≤ 0.01), and *** (p ≤ 0.001), when compared to the pSNA-harboring strain in each panel.
Lycopene Production Profiles in Fed-Batch Fermentation
To test and compare the efficiencies of the pSCS constructs in large-scale production, we carried out fed-batch fermentation of lycopene production. The introduction of pSCSs boosted the lycopene production in fed-batch fermentation by 76% (pSCS1), 48% (pSCS2), and 13% (pSCS3) compared to the pSNA expressed strain (Fig. 5A). Among the four strains we tested, the pSCS1-pLYC strain showed the highest lycopene production at about 1.32 g/l at 49 h and the pSCS2-pLYC and pSCS3-pLYC followed the approx. 1.12 g/l and 0.85 g/l of lycopene production, respectively, while the pSNA-pLYC resulted in the lowest lycopene production (0.75 g/l) (Fig. 5A). Relatively high cell mass appeared in pSNA-pLYC and pSCS1-pLYC with the OD600 of 190 and 179, respectively, at the best production point. The cell-specific productivity of lycopene in pSNA-pLYC and pSCS1-pLYC reached 3.6 mg/l/OD600 and 7.4 mg/l/OD600 at 49 h (Fig. 5B). The growth in pSCS2-pLYC and pSCS3-pLYC dropped by 27% and 40% compared to the pSNA-pLYC at 49 h, but the cell-specific productivity was 2.1-fold and 1.7-fold enhanced (Fig. 5B). Even though slight changes in lycopene titer were found among the pSCS constructs in the fermentation experiment, the results consistently demonstrate around 2-fold higher lycopene production and cell-specific productivity in pSCS-containing strains like the results from test tube cultures. The glycerol consumption rates among the strains were different. The highest glycerol consumption (9.2 g/l/h) was found in the highest lycopene producer, pSCS1-pLYC strain, and the pSNA-pLYC, pSCS2-pLYC, and pSCS3-pLYC showed about 8.0 g/l/h of glycerol utilization (Fig. S1). Even though the pSNA-pLYC strain showed the best cell growth during fermentation, it reached only 3.9 mg/l/OD600 of cell-specific productivity, which is the lowest productivity among the strains we tested. The cell-specific productivity of pSCS1-pLYC, pSCS2-pLYC, and pSCS3-pLYC was 7.4 mg/l/OD600, 7.5 mg/l/OD600, and 6.3 mg/l/OD600 respectively at 49 h.
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Fig. 5. Lycopene production in 2.5 L fed-batch fermentation.
(A) Comparison of lycopene production in pSNApLYC (circle marker), pSCS1-pLYC (square marker), pSCS2-pLYC (inverted triangle marker), and pSCS3-pLYC (triangle marker). (B) Cell growth (OD600) of the lycopene-producing
E. coli strains. The data are shown as average ± SD of two independent replicates.
Discussion
The introduction of an exogenous MVA pathway enables a sufficient supply of isoprenoid precursors IPP and DMAPP and it has been one of the frequent strategies to improve isoprenoid production in
In this study, the efficiencies of the newly designed MVA pathway, pSCS series, have been evaluated by analyzing colorful carotenoid production and MVA accumulation. Based on the results, we successfully reconstituted the MVA operon with genes from BSL1 organisms by providing suitable and applicable genetic sources for various isoprenoid production in the biotech industry, which is beneficial to intricate LMO regulation and public concerns. However, it might be necessary to discover or engineer a powerful MVA bottom pathway for the enhancement of isoprenoid production without the MVA accumulation in
Supplemental Materials
Acknowledgments
This work was supported by the National Research Foundation of Korea (Grant NRF 2021R1A5A8029490, 2022M3A9I3018121 and RS-2023-00301974); The Cooperative Research Program for Agriculture Science and Technology Development (Project No. PJ01577902), Rural Development Administration, Republic of Korea; The Technology Development Program (grant number, 20014582) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea).
Author Contributions
M-K.K. and MP.N. performed most of the experimental works. MP.N., S-H.Y. and, J-W. S. conducted fed-batch fermentation. C.W. designed and provided the genes for the MVA bottom portion construction. KB. J. contributed to operating the LC-MS analysis. M-K.K. and MP.N. wrote the manuscript. M-K.K. MH.K., and S-W.K. supervised the study, designed experiments, and analyzed and interpreted the results. All authors read and approved the final manuscript.
Conflict of Interest
The authors have no financial conflicts of interest to declare.
References
- Zu Y, Prather KL, Stephanopoulos G. 2020. Metabolic engineering strategies to overcome precursor limitations in isoprenoid biosynthesis.
Curr. Opin. Biotechnol. 66 : 171-178. - Ajikumar PK, Tyo K, Carlsen S, Mucha O, Phon TH, Stephanopoulos G. 2008. Terpenoids: opportunities for biosynthesis of natural product drugs using engineered microorganisms.
Mol. Pharm. 5 : 167-190. - Sacchettini JC, Poulter CD. 1997. Creating isoprenoid diversity.
Science 277 : 1788-1789. - Peralta-Yahya PP, Ouellet M, Chan R, Mukhopadhyay A, Keasling JD, Lee TS. 2011. Identification and microbial production of a terpene-based advanced biofuel.
Nat. Commun. 2 : 483. - George KW, Alonso-Gutierrez J, Keasling JD, Lee TS. 2015. Isoprenoid drugs, biofuels, and chemicals--artemisinin, farnesene, and beyond.
Adv. Biochem. Eng. Biotechnol. 148 : 355-389. - Wang C, Zada B, Wei G, Kim S-W. 2017. Metabolic engineering and synthetic biology approaches driving isoprenoid production in
Escherichia coli .Bioresour. Technol. 241 : 430-438. - Nielsen J, Keasling JD. 2016. Engineering cellular metabolism.
Cell 164 : 1185-1197. - Wang C, Liwei M, Park JB, Jeong SH, Wei G, Wang Y,
et al . 2018. Microbial platform for terpenoid production:Escherichia coli and Yeast.Front. Microbiol. 9 : 2460. - Kang MK, Yoon SH, Kwon M, Kim SW. 2024. Microbial cell factories for bio-based isoprenoid production to replace fossil resources.
Curr. Opin. Syst. Biol. 37 : 100502. - Immethun CM, Hoynes-O'Connor AG, Balassy A, Moon TS. 2013. Microbial production of isoprenoids enabled by synthetic biology.
Front. Microbiol. 4 : 75. - Tippmann S, Chen Y, Siewers V, Nielsen J. 2013. From flavors and pharmaceuticals to advanced biofuels: production of isoprenoids in
Saccharomyces cerevisiae .Biotechnol. J. 8 : 1435-1444. - Wang C, Pfleger BF, Kim SW. 2017. Reassessing
Escherichia coli as a cell factory for biofuel production.Curr. Opin. Biotechnol. 45 : 92-103. - Yoon SH, Lee SH, Das A, Ryu HK, Jang HJ, Kim JY,
et al . 2009. Combinatorial expression of bacterial whole mevalonate pathway for the production of beta-carotene inE. coli .J. Biotechnol. 140 : 218-226. - Yang L, Wang C, Zhou J, Kim S-W. 2016. Combinatorial engineering of hybrid mevalonate pathways in
Escherichia coli for protoilludene production.Microb. Cell Fact. 15 : 14. - Wang Y, Zhou S, Liu Q, Jeong SH, Zhu L, Yu X,
et al . 2021. Metabolic engineering ofEscherichia coli for production of α-santalene, a precursor of sandalwood oil.J. Agric. Food Chem. 69 : 13135-13142. - Han GH, Kim SK, Yoon PK, Kang Y, Kim BS, Fu Y,
et al . 2016. Fermentative production and direct extraction of (−)-α-bisabolol in metabolically engineeredEscherichia coli .Microb. Cell Fact. 15 : 185. - Kim SR, Kim W, Yeom S-J, Choi K-Y, Shin Y, Shin J,
et al . 2023. Improvement of the approval system for the development and experimentation of living modified organisms in synthetic biology.Public Health Rep. 16 : 1141-1161. - Quinlan MM, Smith J, Layton R, Keese P, Agbagala ML, Palacpac MB,
et al . 2016. Experiences in engaging the public on biotechnology advances and regulation.Front. Bioeng. Biotechnol. 4 : 3. - Gibson DG, Young L, Chuang RY, Venter JC, Hutchison CA 3rd, Smith HO. 2009. Enzymatic assembly of DNA molecules up to several hundred kilobases.
Nat. Methods 6 : 343-345. - Eiben CB, de Rond T, Bloszies C, Gin J, Chiniquy J, Baidoo EEK,
et al . 2019. Mevalonate pathway promiscuity enables noncanonical terpene production.ACS Synth. Biol. 8 : 2238-2247. - Yoon SH, Lee YM, Kim JE, Lee SH, Lee JH, Kim JY,
et al . 2006. Enhanced lycopene production inEscherichia coli engineered to synthesize isopentenyl diphosphate and dimethylallyl diphosphate from mevalonate.Biotechnol. Bioeng. 94 : 1025-1032. - Yoon SH, Park HM, Kim JE, Lee SH, Choi MS, Kim JY,
et al . 2007. Increased β-Carotene production in recombinantEscherichia coli harboring an engineered isoprenoid precursor pathway with mevalonate addition.Biotechnol. Prog. 23 : 599-605. - Shin J, South EJ, Dunlop MJ. 2022. Transcriptional tuning of mevalonate pathway enzymes to identify the impact on limonene production in
Escherichia coli .ACS Omega 7 : 18331-18338. - Martin VJJ, Pitera DJ, Withers ST, Newman JD, Keasling JD. 2003. Engineering a mevalonate pathway in
Escherichia coli for production of terpenoids.Nat. Biotechnol. 21 : 796-802. - Yang J, Zhao G, Sun Y, Zheng Y, Jiang X, Liu W,
et al . 2012. Bio-isoprene production using exogenous MVA pathway and isoprene synthase inEscherichia coli .Bioresour. Technol. 104 : 642-647. - Liu H, Cheng T, Zou H, Zhang H, Xu X, Sun C,
et al . 2017. High titer mevalonate fermentation and its feeding as a building block for isoprenoids (isoprene and sabinene) production in engineeredEscherichia coli .Process Biochem. 62 : 1-9. - Cheng T, Wang L, Sun C, Xie C. 2022. Optimizing the downstream MVA pathway using a combination optimization strategy to increase lycope ne yield in
Escherichia coli .Microb. Cell Fact. 21 : 205. - Sun C, Dong X, Zhang R, Xie C. 2021. Effectiveness of recombinant
Escherichia coli on the production of (R)-(+)-perillyl alcohol.BMC Biotechnol. 21 : 3. - Yu Q, Schaub P, Ghisla S, Al-Babili S, Krieger-Liszkay A, Beyer P. 2010. The lycopene cyclase CrtY from
Pantoea ananatis (formerlyErwinia uredovora ) catalyzes an FADred-dependent non-redox reaction.J. Biol. Chem. 285 : 12109-12120. - Zhang C, Chen X, Zou R, Zhou K, Stephanopoulos G. 2013. Combining genotype improvement and statistical media optimization for isoprenoid production in
E. coli .PLoS One 8 : e75164. - Alper H, Miyaoku K, Stephanopoulos G. 2006. Characterization of lycopene-overproducing
E. coli strains in high cell density fermentations.Appl. Microbiol. Biotechnol. 72 : 968-974.
Related articles in JMB
Article
Research article
J. Microbiol. Biotechnol. 2024; 34(11): 2338-2346
Published online November 28, 2024 https://doi.org/10.4014/jmb.2408.08053
Copyright © The Korean Society for Microbiology and Biotechnology.
Reconstitution of the Mevalonate Pathway for Improvement of Isoprenoid Production and Industrial Applicability in Escherichia coli
Min-Kyoung Kang1†*, Minh Phuong Nguyen1,2†, Sang-Hwal Yoon1, Keerthi B. Jayasundera1, Jong-Wook Son1,2, Chonglong Wang3, Moonhyuk Kwon1,2,4*, and Seon-Won Kim1,2,5*
1Anti-aging Bio Cell factory Regional Leading Research Center, Gyeongsang National University, Jinju 52828, Republic of Korea
2Division of Applied Life Science (BK21 Four), Gyeongsang National University, Jinju 52828, Republic of Korea
3School of Biology and Basic Medical Sciences, Soochow University, Suzhou 215123, People's Republic of China
4Research Institute of Molecular Alchemy (RIMA), Gyeongsang National University, Jinju 52828, Republic of Korea
5Plant Molecular Biology & Biotechnology Research Center, Gyeongsang National University, Jinju 52828, Republic of Korea
Correspondence to:Moonhyuk Kwon, mkwon@gnu.ac.kr
Seon-Won Kim, swkim@gnu.ac.kr
†The authors who have contributed equally to this work.
Abstract
Natural products, especially isoprenoids have many industrial applications, including medicine, fragrances, food additives, personal care and cosmetics, colorants, and even advanced biofuels. Recent advancements in metabolic engineering with synthetic biology and systems biology have drawn increased interest in microbial-based isoprenoid production. In order to engineer microorganisms to produce a large amount of value-added isoprenoids, great efforts have been made by employing various strategies from synthetic biology and systems biology. We also have engineered E. coli to produce various isoprenoids by targeting and engineering the isoprenoid biosynthetic pathways, methylerythritol phosphate (MEP), and mevalonate (MVA) pathways. Here, we introduced new combinations of the MVA pathway in E. coli with genes from biosafety level 1 (BSL 1) organisms. The reconstituted MVA pathway constructs (pSCS) are not only preferred to the living modified organism (LMO) regulation, but they also improved carotenoid production. In addition, the pSCS constructs resulted in enhanced lycopene production and cell-specific productivity compared to the previous MVA pathway combination (pSNA) in fed-batch fermentation. The pSCS constructs would not only bring an increase in isoprenoid production in E. coli, but they could be an efficient system to be applied for the industrial production of isoprenoids with industry-preferred genetic combinations.
Keywords: Isoprenoids, carotenoids, MVA pathway, Microbial cell factory, synthetic biology
Introduction
Isoprenoids (well known as terpenoids) are the most abundant natural products, which contain more than 65,000 compounds with many biological functions and wide industrial applicability [1, 2]. They play a vital role in all organisms with intra- and intercellular activities, from cell integrity to energy supply: structural cholesterol and steroid hormones in mammals, photosynthetic pigments (phytol, carotenoids, etc.) in plants and ubiquinone, plastoquinone in bacteria, and mediators of polysaccharide assembly, communication and defense mechanisms [2, 3]. With the aforementioned various biological functions, they are industry-relevant chemicals: colorants, flavors, fragrances, plant hormones (agriculture), nutraceuticals, pharmaceuticals, industrial chemicals, and fuel/fuel additives [4, 5]. Despite their structural diversities, all isoprenoid biosynthesis is generated from the simple C5 building blocks, isopentenyl diphosphate (IPP) and dimethylallyl diphosphate (DMAPP). Both precursors are synthesized by two distinct biosynthetic pathways, MEP and MVA pathways. The MEP pathway, which starts from the condensation of glyceraldehyde 3-phosphate (G3P) and pyruvate, is generally present in most eubacteria, photosynthetic bacteria, and plastids in plants, while the MVA pathway, beginning with acetyl-CoA, is found in most eukaryotes, archaea, and cytosol in plants. Because microorganisms only possess either pathway, they have been engineered to utilize both pathways to improve various isoprenoid production [6]. Recent advancements in the metabolic engineering of microorganisms with synthetic biology and systems biology have resulted in successful industrial microbial cell factories (MCF) [7] and have gained increased attention in microbial-based isoprenoid production [2, 8, 9]. Microbial-based chemical production has many advantages over traditional extraction and chemical synthesis methods in the manner of environmental concerns and sustainability [10, 11].
Materials and Methods
Bacterial Strains and Culture Conditions
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Table 1 . Plasmids and strains used in this study..
Plasmids Description Ref. pSTV28 Plac, pACYC184 ori, lacZ , CmrTakara Co., Ltd. pTrc99A Ptrc, pBR322 ori, lacIq, Ampr Amersham Biosci. pSNA pSTV28 containing mvaE andmvaS ofE. faecalis ,mvaK1 ,mvaK2 , andmvaD ofS. pneumoniae , andidi ofE. coli [2] pT-LYCm4 pTrc99A with crtE ,crtB , andcrtI ofPantoea agglomerans , andipiHP1 ofH. pluvialis [6] pT-HB pT-LYCm4 with crtY ofPantoea ananatis [7] pSCS1 pSTV28 containing E. coli codon-optimizedEsmvaE andEsmvaS fromE. saccharolyticus ,E. coli codon-optimizederg12 ,erg19 , anderg8 fromS. cerevisiae andidi fromE. coli This study pSCS2 pSTV28 containing E. coli codon-optimizedEsmvaE andEsmvaS fromE. saccharolyticus ,E. coli codon-optimizederg12 ,erg19 , anderg8 fromS. cerevisiae andE. coli codonoptimizedidi fromE. coli This study pSCS3 pSTV28 containing E. coli codon-optimizedEsmvaE andEsmvaS fromE. saccharolyticus ,E. coli codon-optimizederg12 ,erg19 , and erg8 fromS. cerevisiae andE. coli codonoptimizedfni fromB. subtilis This study Strains Description Ref. DH5α F−, ϕ80dlacZΔM15, Δ(lacZYA-argF)U169, deoR, recA1 endA1, hsdR17(rK− mK+), phoA, supE44, λ−, thi-1, gyrA96, relA1 Lab collection pSTV28-pLYC E. coli harboring pSTV28 and pT-LYCm4This study pSNA-pLYC E. coli harboring pSNA and pT-LYCm4This study pSCS1-pLYC E. coli harboring pSCS1 and pT-LYCm4This study pSCS2-pLYC E. coli harboring pSCS2 and pT-LYCm4This study pSCS3-pLYC E. coli harboring pSCS3 and pT-LYCm4This study pSTV28-pβCA E. coli harboring pSTV28 and pT-HBThis study pSNA-pβCA E. coli harboring pSNA and pT-HBThis study pSCS1-pβCA E. coli harboring pSCS1and pT-HBThis study pSCS2-pβCA E. coli harboring pSCS2 and pT-HBThis study pSCS3-pβCA E. coli harboring pSCS3 and pT-HBThis study
Plasmids Construction
Plasmid construction was conducted using
Quantification of Lycopene and β-Carotene Production
To determine lycopene and β-carotene contents, the culture broths after 24 h and 48 h cultivation were centrifuged at 14,000 g for 1 min, and cells were harvested by removing the supernatant. The cells were disrupted by sonication in 1 ml of acetone and incubated at 55°C for 15 min in the dark. Following centrifugation of the extract at 14,000 g for 10 min, the acetone supernatant containing lycopene or β-carotene was transferred to a clean tube.
For the lycopene and β-carotene analysis, standard solutions were prepared by dissolving 1 mg in 1 ml of acetone and 5 mg in 10 ml of acetone, respectively. Calibration curves were obtained using freshly prepared standard solutions in the range of 0.5 to 30 mg/l. The Agilent 1290 Infinity II LC system interfaced with the Agilent Ultivo triple quadrupole mass spectrometer was used for the analysis. To determine lycopene and β-carotene, both standards and samples were separated using an Agilent Infinity Lab Poroshell 120 EC-C18 column (2.1 mm × 50 mm, 1.9 μm) with isocratic methanol/MTBE (95:5 v/v) as the mobile phase. The flow rate and column temperature were set at 0.4 ml/min and 30°C, respectively. The injection volume was 3 μl, and the total LC-MS/MS run time was 7 minutes. For LC-MS/MS analysis of lycopene and β-carotene, both positive ion and negative ion APCI were evaluated. The APCI settings were optimized for lycopene to produce the negatively charged molecular ion (M¯·) at m/z 536.4. Subsequent to collision-induced dissociation (CID) in negative ion mode, the product ion at m/z 467.3 was selectively detected using multiple reaction monitoring (MRM). The MRM dwell time was set at 100 ms. The capillary voltage was optimized at 3500 V, and the corona current was 30 μA. The fragmentor was adjusted to 180 V, and nitrogen was employed as the collision gas with a collision energy of 22 V. The gas temperature was maintained at 300°C, and the vaporizer was set to 350°C. The gas flow was 4.0 L/min, and the nebulizer was set at 40 psi. The APCI parameters for β-carotene were optimized to produce the [M+H]+ ion at m/z 537.5. After subjecting it to CID in positive ion mode, the product ion at m/z 177.1 was specifically detected using MRM. The dwell time for MRM was set at 100 ms. The capillary voltage was adjusted to 4500 V, with a corona current of 4.0 μA. The fragmentor was set to 120 V, and nitrogen served as the collision gas at an energy of 20 V. The gas temperature and vaporizer temperatures were 300°C and 350°C, respectively. The gas flow was regulated at 6.0 L/min, and the nebulizer was set to 40 psi.
Quantification of Mevalonate
The cell cultures after 24 h and 48 h cultivation were centrifuged at 13,000 g for 10 min and the supernatants were only collected. Then the samples were acidified to pH 2 with 3M HCl and incubated at 45°C for 1 h to convert MVA to MVA lactone via acid-catalyzed esterification. Samples were then saturated with anhydrous Na2SO4 and extracted with ethyl acetate spiked with 0.25% veratraldehyde (Alfa Aesar). The solvent layer was used to analyze residual MVA concentration and Agilent Technologies 7890A gas chromatograph equipped with a flame ionization detector (FID) and 19091 N-133I HP-INNOWAX column (length, 30 m; internal diameter, 0.25 mm; film thickness, 250 μm) was used for the analysis. The analytical temperature of the GC was controlled at an initial temperature of 180°C for 1 min, then ramped to 200°C gradually at 2.5°C/min and held for 8 min. The detector temperature was maintained at 250°C.
Fed-Batch Fermentation
To prepare the seed culture, the engineered
Statistical Analysis
Data on carotenoid production and cell-specific productivity from this experiment were statistically analyzed. All data are presented as the mean ± standard deviation (SD) of two or three biological replicates. Statistical significance was determined using the Student’s t-test
Results
Reconstitution of MVA Pathway for E. coli Engineering
Our previous studies have reported improved isoprenoid production with the supply of isoprenoid precursors through the whole MVA pathway expression by introducing the pSNA plasmid in
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Figure 1. Overall experimental design of this study.
(A) Schematic diagram of carotenoid biosynthesis in
E. coli . The nativeE. coli MEP pathway (right) and exogenous MVA pathway (left) are shown. The biosynthesis of lycopene and β-carotene from the precursors IPP and DMAPP are described (bottom). The genes we introduced using the plasmid system are shown in blue and orange. All genes and their corresponding enzymes are the following;mvaE : acetoacetyl-CoA thiolase/HMG-CoA reductase,mvaS : HMG-CoA synthase,mvaK1/erg12 : mevalonate kinase,mvaK2/erg8 : phosphomevalonate kinase,mvaD/erg19 : mevalonate 5-diphosphate decarboxylase,Idi/ipiHP1 : IPP isomerase,ispA : FPP synthase,crtE : GGPP synthase,crtB : phytoene synthase,crtI : phytoene desaturase,crtY : lycopene cyclase,dxs : DXP synthase,dxr : DXP isomerase reductase. Pathway intermediates G3P: glyceraldehyde 3 phosphate, DXP: 1-deoxy-D-xylose 5 phosphate, MEP: 2-C-methyl-D-erythriol 4-phosphate, HMBPP: 1-hydroxy-2-methyl-2(E) butenyl 4-pyrophosphate, IPP: isopentenyl diphosphate, DMAPP dimethylallyl diphosphate, GPP: geranyl pyrophosphate, FPP: farnesyl diphosphate, GGPP geranylgeranyl diphosphate. (B) Design of MVA pathway constructs we used in this study. Both the pSNA and pSCS constructs were divided into 3 parts: bottom, top, and IPP isomerase. The pSNA construct consisted of the top portion (mvaE andmvaS fromE. faecalis ), the bottom portion (mvaK1 ,mvaD , andmvaK2 fromS. pneumoniae ), andE. coli idi . In the case of the pSCS constructs, the top portion was fromE. saccharolyticus , and the bottom portion was fromS. cerevisiae . IPP isomerase was prepared in 3 different versions: nativeE. coli idi for pSCS1,E. coli codon-optimizedE. coli idi for pSCS2, andB. subtilis fni for pSCS3. C. Plasmid constructs employed in this study to facilitate carotenoid biosynthesis. pT-LYCm4 and pT-HB are introduced inE. coli for lycopene and β-carotene biosynthesis. The pT-LYCm4 containscrtE ,crtB , andcrtI derived fromP. agglomerans and ipiHP1 ofH. pluvialis . The pT-HB was constructed by introducingcrtY fromP. ananatis right next to theipiHP1 into the pT-LYCm4 plasmid construct.
Evaluation of Reconstituted MVA Pathway for Carotenoid Biosynthesis in E. coli
To validate the function and efficiency of pSCS1, 2, and 3 (pSCSs) in
Lycopene Production in
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Figure 2. Lycopene production and cell growth in test tube culture.
(A) Lycopene production in pSTV28-pLYC (no MVA expression), pSNA-pLYC (BSL2 MVA construct), pSCS1-pLYC, pSCS2-pLYC, and pSCS3-pLYC (BSL1 MVA constructs) after 24 hr and 48 hr cultivation (B) Cell growth measurement at OD600. (C) Cell-specific productivity of lycopene. Data are shown as mean ± SD of three biological replicates. Asterisks in panels A and C indicate statistical significance as follows: * (
p ≤ 0.05), ** (p ≤ 0.01), and *** (p ≤ 0.001), when compared to the pSNA-pLYC strain.
Beta-Carotene Production in
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Figure 3. β-Carotene production and cell growth in test tube culture.
(A) β-carotene roduction in pSTV28-pβCA (no MVA expression), pSNA-pβCA (BSL2 MVA construct), pSCS1- pβCA, pSCS2- pβCA, and pSCS3-pβCA (BSL1 MVA constructs) after 24 h and 48 h cultivation (B) Cell growth measurement at OD600. (C) Cell-specific productivity of β-carotene. Data are shown as average ± SD of three biological replicates. Asterisks in panels A and C indicate statistical significance as follows: * (
p ≤ 0.05), and ** (p ≤ 0.01), compared to the pSNA-pβCA strain.
MVA Accumulation in Engineered
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Figure 4. Mevalonate accumulation in lycopene and β-carotene producing
E. coli strains at 24 h and 48 h. Data are shown as average ± SD of three biological replicates. Asterisks indicate statistical significance as follows: * (p ≤ 0.05), ** (p ≤ 0.01), and *** (p ≤ 0.001), when compared to the pSNA-harboring strain in each panel.
Lycopene Production Profiles in Fed-Batch Fermentation
To test and compare the efficiencies of the pSCS constructs in large-scale production, we carried out fed-batch fermentation of lycopene production. The introduction of pSCSs boosted the lycopene production in fed-batch fermentation by 76% (pSCS1), 48% (pSCS2), and 13% (pSCS3) compared to the pSNA expressed strain (Fig. 5A). Among the four strains we tested, the pSCS1-pLYC strain showed the highest lycopene production at about 1.32 g/l at 49 h and the pSCS2-pLYC and pSCS3-pLYC followed the approx. 1.12 g/l and 0.85 g/l of lycopene production, respectively, while the pSNA-pLYC resulted in the lowest lycopene production (0.75 g/l) (Fig. 5A). Relatively high cell mass appeared in pSNA-pLYC and pSCS1-pLYC with the OD600 of 190 and 179, respectively, at the best production point. The cell-specific productivity of lycopene in pSNA-pLYC and pSCS1-pLYC reached 3.6 mg/l/OD600 and 7.4 mg/l/OD600 at 49 h (Fig. 5B). The growth in pSCS2-pLYC and pSCS3-pLYC dropped by 27% and 40% compared to the pSNA-pLYC at 49 h, but the cell-specific productivity was 2.1-fold and 1.7-fold enhanced (Fig. 5B). Even though slight changes in lycopene titer were found among the pSCS constructs in the fermentation experiment, the results consistently demonstrate around 2-fold higher lycopene production and cell-specific productivity in pSCS-containing strains like the results from test tube cultures. The glycerol consumption rates among the strains were different. The highest glycerol consumption (9.2 g/l/h) was found in the highest lycopene producer, pSCS1-pLYC strain, and the pSNA-pLYC, pSCS2-pLYC, and pSCS3-pLYC showed about 8.0 g/l/h of glycerol utilization (Fig. S1). Even though the pSNA-pLYC strain showed the best cell growth during fermentation, it reached only 3.9 mg/l/OD600 of cell-specific productivity, which is the lowest productivity among the strains we tested. The cell-specific productivity of pSCS1-pLYC, pSCS2-pLYC, and pSCS3-pLYC was 7.4 mg/l/OD600, 7.5 mg/l/OD600, and 6.3 mg/l/OD600 respectively at 49 h.
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Figure 5. Lycopene production in 2.5 L fed-batch fermentation.
(A) Comparison of lycopene production in pSNApLYC (circle marker), pSCS1-pLYC (square marker), pSCS2-pLYC (inverted triangle marker), and pSCS3-pLYC (triangle marker). (B) Cell growth (OD600) of the lycopene-producing
E. coli strains. The data are shown as average ± SD of two independent replicates.
Discussion
The introduction of an exogenous MVA pathway enables a sufficient supply of isoprenoid precursors IPP and DMAPP and it has been one of the frequent strategies to improve isoprenoid production in
In this study, the efficiencies of the newly designed MVA pathway, pSCS series, have been evaluated by analyzing colorful carotenoid production and MVA accumulation. Based on the results, we successfully reconstituted the MVA operon with genes from BSL1 organisms by providing suitable and applicable genetic sources for various isoprenoid production in the biotech industry, which is beneficial to intricate LMO regulation and public concerns. However, it might be necessary to discover or engineer a powerful MVA bottom pathway for the enhancement of isoprenoid production without the MVA accumulation in
Supplemental Materials
Acknowledgments
This work was supported by the National Research Foundation of Korea (Grant NRF 2021R1A5A8029490, 2022M3A9I3018121 and RS-2023-00301974); The Cooperative Research Program for Agriculture Science and Technology Development (Project No. PJ01577902), Rural Development Administration, Republic of Korea; The Technology Development Program (grant number, 20014582) funded by the Ministry of Trade, Industry & Energy (MOTIE, Korea).
Author Contributions
M-K.K. and MP.N. performed most of the experimental works. MP.N., S-H.Y. and, J-W. S. conducted fed-batch fermentation. C.W. designed and provided the genes for the MVA bottom portion construction. KB. J. contributed to operating the LC-MS analysis. M-K.K. and MP.N. wrote the manuscript. M-K.K. MH.K., and S-W.K. supervised the study, designed experiments, and analyzed and interpreted the results. All authors read and approved the final manuscript.
Conflict of Interest
The authors have no financial conflicts of interest to declare.
Fig 1.
Fig 2.
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Fig 5.
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Table 1 . Plasmids and strains used in this study..
Plasmids Description Ref. pSTV28 Plac, pACYC184 ori, lacZ , CmrTakara Co., Ltd. pTrc99A Ptrc, pBR322 ori, lacIq, Ampr Amersham Biosci. pSNA pSTV28 containing mvaE andmvaS ofE. faecalis ,mvaK1 ,mvaK2 , andmvaD ofS. pneumoniae , andidi ofE. coli [2] pT-LYCm4 pTrc99A with crtE ,crtB , andcrtI ofPantoea agglomerans , andipiHP1 ofH. pluvialis [6] pT-HB pT-LYCm4 with crtY ofPantoea ananatis [7] pSCS1 pSTV28 containing E. coli codon-optimizedEsmvaE andEsmvaS fromE. saccharolyticus ,E. coli codon-optimizederg12 ,erg19 , anderg8 fromS. cerevisiae andidi fromE. coli This study pSCS2 pSTV28 containing E. coli codon-optimizedEsmvaE andEsmvaS fromE. saccharolyticus ,E. coli codon-optimizederg12 ,erg19 , anderg8 fromS. cerevisiae andE. coli codonoptimizedidi fromE. coli This study pSCS3 pSTV28 containing E. coli codon-optimizedEsmvaE andEsmvaS fromE. saccharolyticus ,E. coli codon-optimizederg12 ,erg19 , and erg8 fromS. cerevisiae andE. coli codonoptimizedfni fromB. subtilis This study Strains Description Ref. DH5α F−, ϕ80dlacZΔM15, Δ(lacZYA-argF)U169, deoR, recA1 endA1, hsdR17(rK− mK+), phoA, supE44, λ−, thi-1, gyrA96, relA1 Lab collection pSTV28-pLYC E. coli harboring pSTV28 and pT-LYCm4This study pSNA-pLYC E. coli harboring pSNA and pT-LYCm4This study pSCS1-pLYC E. coli harboring pSCS1 and pT-LYCm4This study pSCS2-pLYC E. coli harboring pSCS2 and pT-LYCm4This study pSCS3-pLYC E. coli harboring pSCS3 and pT-LYCm4This study pSTV28-pβCA E. coli harboring pSTV28 and pT-HBThis study pSNA-pβCA E. coli harboring pSNA and pT-HBThis study pSCS1-pβCA E. coli harboring pSCS1and pT-HBThis study pSCS2-pβCA E. coli harboring pSCS2 and pT-HBThis study pSCS3-pβCA E. coli harboring pSCS3 and pT-HBThis study
References
- Zu Y, Prather KL, Stephanopoulos G. 2020. Metabolic engineering strategies to overcome precursor limitations in isoprenoid biosynthesis.
Curr. Opin. Biotechnol. 66 : 171-178. - Ajikumar PK, Tyo K, Carlsen S, Mucha O, Phon TH, Stephanopoulos G. 2008. Terpenoids: opportunities for biosynthesis of natural product drugs using engineered microorganisms.
Mol. Pharm. 5 : 167-190. - Sacchettini JC, Poulter CD. 1997. Creating isoprenoid diversity.
Science 277 : 1788-1789. - Peralta-Yahya PP, Ouellet M, Chan R, Mukhopadhyay A, Keasling JD, Lee TS. 2011. Identification and microbial production of a terpene-based advanced biofuel.
Nat. Commun. 2 : 483. - George KW, Alonso-Gutierrez J, Keasling JD, Lee TS. 2015. Isoprenoid drugs, biofuels, and chemicals--artemisinin, farnesene, and beyond.
Adv. Biochem. Eng. Biotechnol. 148 : 355-389. - Wang C, Zada B, Wei G, Kim S-W. 2017. Metabolic engineering and synthetic biology approaches driving isoprenoid production in
Escherichia coli .Bioresour. Technol. 241 : 430-438. - Nielsen J, Keasling JD. 2016. Engineering cellular metabolism.
Cell 164 : 1185-1197. - Wang C, Liwei M, Park JB, Jeong SH, Wei G, Wang Y,
et al . 2018. Microbial platform for terpenoid production:Escherichia coli and Yeast.Front. Microbiol. 9 : 2460. - Kang MK, Yoon SH, Kwon M, Kim SW. 2024. Microbial cell factories for bio-based isoprenoid production to replace fossil resources.
Curr. Opin. Syst. Biol. 37 : 100502. - Immethun CM, Hoynes-O'Connor AG, Balassy A, Moon TS. 2013. Microbial production of isoprenoids enabled by synthetic biology.
Front. Microbiol. 4 : 75. - Tippmann S, Chen Y, Siewers V, Nielsen J. 2013. From flavors and pharmaceuticals to advanced biofuels: production of isoprenoids in
Saccharomyces cerevisiae .Biotechnol. J. 8 : 1435-1444. - Wang C, Pfleger BF, Kim SW. 2017. Reassessing
Escherichia coli as a cell factory for biofuel production.Curr. Opin. Biotechnol. 45 : 92-103. - Yoon SH, Lee SH, Das A, Ryu HK, Jang HJ, Kim JY,
et al . 2009. Combinatorial expression of bacterial whole mevalonate pathway for the production of beta-carotene inE. coli .J. Biotechnol. 140 : 218-226. - Yang L, Wang C, Zhou J, Kim S-W. 2016. Combinatorial engineering of hybrid mevalonate pathways in
Escherichia coli for protoilludene production.Microb. Cell Fact. 15 : 14. - Wang Y, Zhou S, Liu Q, Jeong SH, Zhu L, Yu X,
et al . 2021. Metabolic engineering ofEscherichia coli for production of α-santalene, a precursor of sandalwood oil.J. Agric. Food Chem. 69 : 13135-13142. - Han GH, Kim SK, Yoon PK, Kang Y, Kim BS, Fu Y,
et al . 2016. Fermentative production and direct extraction of (−)-α-bisabolol in metabolically engineeredEscherichia coli .Microb. Cell Fact. 15 : 185. - Kim SR, Kim W, Yeom S-J, Choi K-Y, Shin Y, Shin J,
et al . 2023. Improvement of the approval system for the development and experimentation of living modified organisms in synthetic biology.Public Health Rep. 16 : 1141-1161. - Quinlan MM, Smith J, Layton R, Keese P, Agbagala ML, Palacpac MB,
et al . 2016. Experiences in engaging the public on biotechnology advances and regulation.Front. Bioeng. Biotechnol. 4 : 3. - Gibson DG, Young L, Chuang RY, Venter JC, Hutchison CA 3rd, Smith HO. 2009. Enzymatic assembly of DNA molecules up to several hundred kilobases.
Nat. Methods 6 : 343-345. - Eiben CB, de Rond T, Bloszies C, Gin J, Chiniquy J, Baidoo EEK,
et al . 2019. Mevalonate pathway promiscuity enables noncanonical terpene production.ACS Synth. Biol. 8 : 2238-2247. - Yoon SH, Lee YM, Kim JE, Lee SH, Lee JH, Kim JY,
et al . 2006. Enhanced lycopene production inEscherichia coli engineered to synthesize isopentenyl diphosphate and dimethylallyl diphosphate from mevalonate.Biotechnol. Bioeng. 94 : 1025-1032. - Yoon SH, Park HM, Kim JE, Lee SH, Choi MS, Kim JY,
et al . 2007. Increased β-Carotene production in recombinantEscherichia coli harboring an engineered isoprenoid precursor pathway with mevalonate addition.Biotechnol. Prog. 23 : 599-605. - Shin J, South EJ, Dunlop MJ. 2022. Transcriptional tuning of mevalonate pathway enzymes to identify the impact on limonene production in
Escherichia coli .ACS Omega 7 : 18331-18338. - Martin VJJ, Pitera DJ, Withers ST, Newman JD, Keasling JD. 2003. Engineering a mevalonate pathway in
Escherichia coli for production of terpenoids.Nat. Biotechnol. 21 : 796-802. - Yang J, Zhao G, Sun Y, Zheng Y, Jiang X, Liu W,
et al . 2012. Bio-isoprene production using exogenous MVA pathway and isoprene synthase inEscherichia coli .Bioresour. Technol. 104 : 642-647. - Liu H, Cheng T, Zou H, Zhang H, Xu X, Sun C,
et al . 2017. High titer mevalonate fermentation and its feeding as a building block for isoprenoids (isoprene and sabinene) production in engineeredEscherichia coli .Process Biochem. 62 : 1-9. - Cheng T, Wang L, Sun C, Xie C. 2022. Optimizing the downstream MVA pathway using a combination optimization strategy to increase lycope ne yield in
Escherichia coli .Microb. Cell Fact. 21 : 205. - Sun C, Dong X, Zhang R, Xie C. 2021. Effectiveness of recombinant
Escherichia coli on the production of (R)-(+)-perillyl alcohol.BMC Biotechnol. 21 : 3. - Yu Q, Schaub P, Ghisla S, Al-Babili S, Krieger-Liszkay A, Beyer P. 2010. The lycopene cyclase CrtY from
Pantoea ananatis (formerlyErwinia uredovora ) catalyzes an FADred-dependent non-redox reaction.J. Biol. Chem. 285 : 12109-12120. - Zhang C, Chen X, Zou R, Zhou K, Stephanopoulos G. 2013. Combining genotype improvement and statistical media optimization for isoprenoid production in
E. coli .PLoS One 8 : e75164. - Alper H, Miyaoku K, Stephanopoulos G. 2006. Characterization of lycopene-overproducing
E. coli strains in high cell density fermentations.Appl. Microbiol. Biotechnol. 72 : 968-974.