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Fermentation and Metabolic Pathway Optimization to De Novo Synthesize (2S)-Naringenin in Escherichia coli
1National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi, Jiangsu 214122, P.R. China
2Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi, Jiangsu 214122, P.R. China
J. Microbiol. Biotechnol. 2020; 30(10): 1574-1582
Published October 28, 2020 https://doi.org/10.4014/jmb.2008.08005
Copyright © The Korean Society for Microbiology and Biotechnology.
Abstract
Keywords
Graphical Abstract
Introduction
Flavonoids are value-added nutritional chemicals that have diverse biological functions; they are antibacterial, anti-atherosclerotic, anti-carcinogenic, and they protect the liver [1, 2]. Under the current industrial production scale, flavonoids are extracted mainly from plant tissues [3, 4]. However, the low content in plant tissues results in a low titer and a high price for flavonoids that cannot satisfy the demands of the market [5]. Furthermore, the harmful solvents and extreme conditions needed in the extraction process also hinder the application of plant extraction [3]. Hence, it is necessary to develop a flavonoid production process that is environmentally friendly and has high efficiency.
Although there are thousands of flavonoids with significantly different structures, all of them contain a common 2-phenyl chromone structure (C6-C3-C6) as a scaffold [6]. Hence, any desired flavonoid could be synthesized from a flavonoid scaffold by either enzymatic or chemical catalyzation methods. In this regard, the achievement of large-scale production by a microbial fermentation approach using flavonoid scaffolds is important for green production. (2
However, the added tyrosine and
According to current reports, the titer of (2
-
Fig. 1.
The de novo biosynthesis pathway for (2 (S )-naringenin.A ) Metabolic engineering to enhance the metabolic flux from glucose to L-tyrosine. The red crosses represent genes that were deleted. The bold arrows represent genes that were overexpressed. The thin arrows represent genes that were natively expressed. (B ) The dynamic regulation network of Mut-17, which was constructed in our previous study [19]. (2S )-Naringenin synthesis pathway was constitutively overexpressed [7]. Hence, (2S )-naringenin could accumulate with cell growth. The accumulated (2S )-naringenin activates activator FdeR [37] to repress the fatty acid synthesis pathway to reduce the consumption of malonyl-CoA. Meanwhile, the repressor PadR [38] can be inactivated whenp -coumaric acid accumulates, resulting in the expression of acetyl-CoA synthase (acs ) and acetyl-CoA carboxylase (ACC ) to enhance the biosynthesis of malonyl-CoA. Compound annotation: glyceraldehyde 3-phosphate (G3P); phosphoenolpyruvate (PEP); glucose-6-phosphate (G6P); fructose-6-phosphate (F6P); 4 hydroxyphenylpyruvate (HPPH); Gene or enzyme annotation: glycerol kinase (glpK ); pyruvate kinase I/II (pykF /pykA ); tyrosine repressor (TyrR); acyl carrier protein (ACP); tyrosine aminotransferase (tyrB ); DAHP synthase (aroG /aroH /aroF ); chorismate mutase/prephenate dehydratase (pheA ); glucose-specific IIACB component (ptsG /crr ); galactose permease (galP ); glucokinase (glk ); phosphodiesterase (acpH ); anti-sense RNA of holo-ACP synthase (asacpS ) and holo-ACP synthase 2 (asacpT ); tyrosine ammonia-lyase (tal ), 4-coumarate: CoA ligase (4cl ), chalcone synthase (chs ), chalcone isomerase (chi ).
Materials and Methods
Strains, Medium, and Culture Conditions
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Table 1 . Strains and plasmids used in this study.
Strains and plasmids Properties Sources Strains E. coli JM109Wild type This study E. coli BL21 (DE3)Wild type This study Mut-17 (2 S )-Naringenin dynamic regulated strain which carrying pETM-PUTRtrxA-TAL-PUTRtalB-4CL, pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI, pACM-PfdeR-FdeR-PfdeA-17-acpH-asacpT-asacpS, and pRSM-PadR-acs-ACC[19] Nar-17LL pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI was replaced by pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PyjiY -tyrA fbr-PyjiY -aroG fbr in Mut-17This study Nar-17HL pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI was replaced by pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PglpD -tyrA fbr-PyjiY -aroG fbr in Mut-17This study Nar-17HM pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI was replaced by pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PglpD -tyrA fbr-PtalB -aroG fbr in Mut-17This study Nar-17LM pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI was replaced by pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PyjiY -tyrA fbr-PtalB -aroG fbr in Mut-17This study Nar-17LM1 tyrR was knockout in Nar-17LMThis study Nar-17LM2 tyrR ,pstG , andcrr were knockout in Nar-17LMThis study Nar-17LM3 tyrR ,pstG ,crr , andpheA were knockout in Nar-17LMThis study Nar-17LM4 tyrR ,pstG ,crr ,pheA , andpykF were knockout in Nar-17LMThis study Plasmids pETM-PUTRtrxA-TAL-PUTRtalB-4CL Ampr, pETM6 backbone, the expression of tal and was controlled by PUTRtrxA and PUTRtalB, respectively.4cl [7] pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI Strr, pCDM4 backbone, the expression of chi andchs was controlled by PssrA-UTRrpsT and PUTRglpD, respectively.[7] pACM-PfdeR-FdeR-PfdeA-17-acpH-asacpT-asacpS Cmr, pACM4 backbone, PfdeR and PfdeA-17 controlled the expression of fdeR andacpH , respectively. PfdeA controlled the expression of asacpT and asacpS .[19] pRSM-PadR-acs- ACC Kanr, pRSM3 backbone, PcspA and PpadC controlled the expression of padR andacs, ACC , respectively.[19] pMD- tyrA fbr-aroG fbrAmpr, T-vector pMDTM19 (Simple) carrying tyrA fbr andaroG fbr[14] pMD-P yjiY -tyrA fbr-aroG fbrAmpr, pMD- tyrA fbr-aroG fbr backbone, PyjiY controlled the expression oftyrA fbrThis study pMD-P glpD -tyrA fbr-aroG fbrAmpr, pMD- tyrA fbr-aroG fbr backbone, PglpD controlled the expression oftyrA fbrThis study pMD-P yjiY -tyrA fbr-PtalB -aroG fbrAmpr, pMD-P yjiY -tyrA fbr-aroG fbr backbone, PtalB controlled the expression ofaroG fbrThis study pMD-P yjiY -tyrA fbr-PyjiY -aroG fbrAmpr, pMD-P yjiY -tyrA fbr-aroG fbr backbone, PyjiY controlled the expression ofaroG fbrThis study pMD-P glpD -tyrA fbr-PyjiY -aroG fbrAmpr, pMD-P glpD -tyrA fbr-aroG fbr backbone, PyjiY controlled the expression ofaroG fbrThis study pMD-P glpD -tyrA fbr-PtalB -aroG fbrAmpr, pMD-P glpD -tyrA fbr-aroG fbr backbone, PtalB controlled the expression ofaroG fbrThis study pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PyjiY -tyrA fbr-PtalB -aroG fbrStrr, pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI backbone, P yjiY and PtalB controled the expression oftyrA fbr andaroG fbr, respectively.This study pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PyjiY -tyrA fbr-PyjiY -aroG fbrStrr, pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI backbone, P yjiY and PyjiY controled the expression oftyrA fbr andaroG fbr, respectively.This study pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PglpD -tyrA fbr-PyjiY -aroG fbrStrr, pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI backbone, P glpD and PyjiY controled the expression oftyrA fbr andaroG fbr, respectively.This study pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PglpD -tyrA fbr-PtalB -aroG fbrStrr, pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI backbone, P glpD and PtalB controled the expression oftyrA fbr andaroG fbr, respectively.This study
Fermentation Optimization
Fermentation seeds were cultured for 12 h in LB medium and used to optimize the fermentation conditions and medium components. In order to optimize the fermentation temperature, after incubation, the strains were cultured at 37°C for different times (2, 4, 7, and 10 h) for cell growth, and then transferred to 30°C, 25°C, and 20°C for (2
Different concentrations of carbon and nitrogen sources were added in the original MOPS minimal medium in deep 24-well plates to optimize the medium components. Specifically, the optimum concentrations of KAc (1.2, 2.5, 5, and 7.5 g/l), peptone (2.5, 5, 10, and 15 g/l), glucose (5.5, 10, 15, and 20 g/l), ammonia chloride (6.5, 9, 14, and 19 g/l), yeast extract (2.5, 5, 10, and 15 g/l), glycerol (2.5, 5, 10, and 15 g/l), myristic acid (2.5, 5, 10, and 15 g/l), palmitic acid (2.5, 5, 10, and 15 g/l), stearic acid (2.5, 5, 10, and 15 g/l), and cis-11-octadecenoic acid (2.5, 5, 10, and 15 g/l) in the MOPS minimal medium were investigated. The titers of (2
Plasmid Construction
The promoters P
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Table 2 . Primers used in this study.
Primers Sequence (from 5′ to 3′)* P yjiy -aroG -FGAAATAATTTTGTTTAACTTTAATAAGGAGATATAGCGGCCGCAAATAACCACTCAGTTATTTACCTTAC P yjiy -aroG -RCGTAAATCGTCGTTCTGATAATTCATCCCGGGAGTAAAACCTGGCATGTATTGAT P yjiy -tyrA -FTAAAAGCGCGTCGCGGGTAACTGCAGAAATAACCACTCAGTTATTTACCTTAC P yjiy -tyrA -RCGTAATGCGGTCAATTCAGCAACCATGGAGTAAAACCTGGCATGTATTGAT P talB -aroG -FGAAATAATTTTGTTTAACTTTAATAAGGAGATATAGCGGCCGCCCTGGCGATAACCGTCTT P talB -aroG -RCGTAAATCGTCGTTCTGATAATTCATCCCGGGGATAGTATTTCTCTTTAAACAGCTTGT P glpD -tyrA -FTAAAAGCGCGTCGCGGGTAACTGCAGTCACTCTAAAATGTTTTTTCAATGT P glpD -tyrA -RCGTAATGCGGTCAATTCAGCAACCATGGGCTGCCCTCATTCACTTTC aroG -FCAATTCCCCTGTAGAAATAATTTTGTTTAAC aroG -RGTAACTCTTTGATTTCTTTGATGCGTAAATC tyrA -FCTGTTACGTCAACTGGCGAATGC tyrA -RTATCGACTTCATCAATTTGATCGCG tyrA -aroG -FTGATCTTTTCTACTGAACCGCTCTAGACCCCTGTAGAAATAATTTTGTTTAACTTTAATA tyrA -aroG -RCGGATGTGATAGCCAATGGATCCGACCATGATTACGCCAAGTTTGC
Analysis Methods
To quantitatively analyze the titers of (2
Results
Optimization of Medium Components
Medium components not only influence cell growth, they are also closely related to the production of (2
-
Fig. 2.
The influence of medium components on growth state, as well as (2 Different concentrations of extra nitrogen sources, carbon sources, fatty acids, and MnCl2 were added to the MOPS minimal medium. MOPS minimal medium already contains 4 g/l NH4Cl, 5 g/l glucose, and 0.1 g/l MnCl2. Fermentation in MOPS minimal medium was used as the control. The red dashed line represents the (2S )-naringenin andp -coumaric acid titer, of Mut-17.S )-naringenin titer of the control.
Malonyl-CoA is the main limiting factor for (2
Malonyl-CoA mainly flows into the native fatty acid pathway. Thus, repressing the metabolic flux of the fatty acid pathway could efficiently enhance the accumulation of malonyl-CoA [23]. Here, the dynamic regulation system of Mut-17 could repress the fatty acid synthesis pathway according to the concentration of (2
Optimization of the Fermentation Conditions
Temperature and pH are important factors that can significantly influence cell growth and pathway enzyme activity. Generally, fermentation requires a set of conditions for cell growth in the early growth stage and then a set of conditions for the production stage. Wherein, temperature not only influenced cell growth but also significantly influenced the activity of enzymes. Furthermore, the enzymes from different origins usually have different optimum catalyzation temperature [25]. With this background, we investigated a temperature-shift fermentation strategy. Mut-17 was cultured at 37°C for different times for cell growth, and then transferred to a lower temperature for (2
-
Fig. 3.
Temperature and pH optimization. (A ) Temperature-shift strategy to optimize the time and temperature of the growth stage and production stage. (B ) Initial pH optimization. The control had a natural pH (7.4) of MOPS.
Fermentation was subsequently performed in a shake flask under the above optimum medium and conditions (that is, adding 4 g/l NH4Cl, 15 g/l glucose, 2.5 g/l glycerol, 7.5 g/l KAc, 2.5 g/l palmitic acid, and 2.5 g/l stearic acid in MOPS minimal medium, initial pH 7.0, 37°C culture for 2 h and then transfer to 25°C). To maintain a pH higher than 5.6 in the fermentation process, we added 5 g/l CaCO3 to the shake flasks. Finally, Mut-17 produced 391 mg/l (2
-
Fig. 4.
Shake flask fermentation in the optimum medium for (2 (S )-naringenin production from tyrosine (A ) and glucose (B ).A ) Mut-17 was used for fermentation; (B ) The expression levels of the anti-feedback inhibition genes (aroG fbr andtyrA fbr) were optimized by promoters with different strengths. 0 h represents the starting time of temperature shifting.
Releasing the Feedback Inhibition for De Novo Synthesis of (2S )-Naringenin
In the tyrosine synthesis pathway,
Enhancing the Metabolic Flux from Glucose to L-Tyrosine
In order to further improve the metabolic flux of the tyrosine biosynthesis pathway, we introduced the (2
-
Fig. 5.
De novo biosynthesis of (2 (S )-naringenin by knockout strains in a shake flask (A ) and 5-L bioreactor (B ).A ) A minus represents the relative genes that were knocked out; (B ) Nar-17LM1 was the producer for fed-batch fermentation. Black triangles represent the time points at which 30 mL of 500 g/l glucose was fed. 0 h represents the starting time of temperature shifting.
Fed-Batch Fermentation in a 5-L Bioreactor
To further improve the titer of (2
Discussion
(2
The de novo biosynthesis pathway of (2
In the fermentation process, we found that organic nitrogen sources, such as yeast extract and peptone, promoted cell growth but reduced (2
Acknowledgments
This work was supported by the National Science Fund for Excellent Young Scholars (21822806), the National Natural Science Foundation of China (31900066 and 31770097), and the Fundamental Research Funds for the Central Universities (JUSRP12056).
Conflict of Interest
The authors have no financial conflicts of interest to declare.
References
- Orhan IE, Nabavi SF, Daglia M, Tenore GC, Mansouri K, Nabavi SM. 2015. Naringenin and atherosclerosis: a review of literature.
Curr. Pharm. Biotechnol. 16 : 245-251. - Liu HL, Jiang WB, Xie MX. 2010. Flavonoids: recent advances as anticancer drugs.
Recent Pat. Anticancer Drug Discov. 5 : 152-164. - Skarpalezos D, Detsi A. 2019. Deep eutectic solvents as extraction media for valuable flavonoids from natural sources.
Appl. Sci. 9 : 11749-11752. - Sharma K, Mahato N, Lee YR. 2019. Extraction, characterization and biological activity of citrus flavonoids.
Rev. Chem. Eng. 35 : 265-284. - Guo P, Yan W, Han Q, Wang C, Zhang Z. 2015. Simultaneous quantification of 25 active constituents in the total flavonoids extract from
Herba Desmodii Styracifolii by high-performance liquid chromatography with electrospray ionization tandem mass spectrometry.J. Sep. Sci. 38 : 1156-1163. - Wu JJ, Du GC, Zhou JW, Chen J. 2014. Systems metabolic engineering of microorganisms to achieve large-scale production of flavonoid scaffolds.
J. Biotechnol. 188 : 72-80. - Zhou S, Lyu Y, Li H, Koffas MA, Zhou J. 2019. Fine-tuning the (2
S )-naringenin synthetic pathway using an iterative high-throughput balancing strategy.Biotechnol. Bioeng. 116 : 1392-1404. - Salehi B, Fokou PVT, Sharifi-Rad M, Zucca P, Pezzani R, Martins N,
et al . 2019. The therapeutic potential of naringenin: a review of clinical trials.Pharmaceuticals 12 : 11. - Wu JJ, Yu O, Du GC, Zhou JW, Chen J. 2014. Fine-tuning of the fatty acid pathway by synthetic antisense RNA for enhanced (2
S )-naringenin production from L-tyrosine inEscherichia coli .Appl. Environ. Microbiol. 80 : 7283-7292. - Wu JJ, Du GC, Chen J, Zhou JW. 2015. Enhancing flavonoid production by systematically tuning the central metabolic pathways based on a CRISPR interference system in
Escherichia coli .Sci. Rep-UK 5 : 13477. - Lyu X, Ng KR, Lee JL, Mark R, Chen WN. 2017. Enhancement of naringenin biosynthesis from tyrosine by metabolic engineering of
Saccharomyces cerevisiae .J. Agr. Food Chem. 65 : 6638-6646. - Gao S, Lyu Y, Zeng W, Du G, Zhou J, Chen J. 2020. Efficient biosynthesis of (2
S )-naringenin fromp -coumaric acid inSaccharomyces cerevisiae .J. Agric. Food Chem. 68 : 1015-1021. - Gao S, Zhou H, Zhou J, Chen J. 2020. Promoter library based pathway optimization for efficient (2
S )-naringenin production fromp -coumaric acid inSaccharomyces cerevisiae .J. Agr. Food Chem. 68 : 6884-6891. - Wu JJ, Zhou TT, Du GC, Zhou JW, Chen J. 2014. Modular optimization of heterologous pathways for de novo synthesis of (2
S )-naringenin inEscherichia coli .PLoS One 9 : e101492. - Raman S, Rogers JK, Taylor ND, Church GM. 2014. Evolution-guided optimization of biosynthetic pathways.
Proc. Natl. Acad. Sci. USA 111 : 17803-17808. - Lv Y, Marsafari M, Koffas M, Zhou J, Xu P. 2019. Optimizing oleaginous yeast cell factories for flavonoids and hydroxylated flavonoids biosynthesis.
ACS Synth. Biol. 8 : 2514-2523. - Wei W, Zhang P, Shang Y, Zhou Y, Ye B-C. 2020. Metabolically engineering of
Yarrowia lipolytica for the biosynthesis of naringenin from a mixture of glucose and xylose.Bioresour. Technol. 314 : 123726. - Palmer CM, Miller KK, Nguyen A, Alper HS. 2020. Engineering 4-coumaroyl-CoA derived polyketide production in
Yarrowia lipolytica through a β-oxidation mediated strategy.Metab. Eng. 57 : 174-181. - Zhou S, Yuan S-F, Nair PH, Alper HS, Deng Y, Zhou J. 2020. Development of a growth coupled dynamic regulation network balancing malonyl-CoA node to enhance (2
S )-naringenin synthesis in E.coli. BioRxiv 7 : 192633. - Neidhardt FC, Bloch PL, Smith DF. 1974. Culture medium for enterobacteria.
J. Bacteriol. 119 : 736-747. - Pandey RP, Parajuli P, Koffas MAG, Sohng JK. 2016. Microbial production of natural and non-natural flavonoids: pathway engineering, directed evolution and systems/synthetic biology.
Biotechnol. Adv. 34 : 634-662. - Zhou S, Hao T, Xu S, Deng Y. 2020. Coenzyme A thioester-mediated carbon chain elongation as a paintbrush to draw colorful chemical compounds.
Biotechnol. Adv. 43 : 107575. - Xu P, Ranganathan S, Fowler ZL, Maranas CD, Koffas MAG. 2011. Genome-scale metabolic network modeling results in minimal interventions that cooperatively force carbon flux towards malonyl-CoA.
Metab. Eng. 13 : 578-587. - Heil CS, Wehrheim SS, Paithankar KS, Grininger M. 2019. Fatty acid biosynthesis: chain-length regulation and control.
ChemBi°Chem. 20 : 2298-2321. - Arcus VL, Prentice EJ, Hobbs JK, Mulholland AJ, Van der Kamp MW, Pudney CR,
et al . 2016. On the temperature dependence of enzyme-catalyzed rates.Biochemistry 55 : 1681-1688. - Zhou S, Ding R, Chen J, Du G, Li HZ, Zhou J. 2017. Obtaining a panel of cascade promoter-5'-UTR complexes in
Escherichia coli .ACS Synth. Biol. 6 : 1065-1075. - Fordjour E, Adipah FK, Zhou S, Du G, Zhou J. 2019. Metabolic engineering of
Escherichia coli BL21 (DE3) for de novo production of L-DOPA from D-glucose.Microb. Cell Fact. 18 : 74. - Deutscher J, Aké FMD, Derkaoui M, Zébré AC, Cao TN, Bouraoui H,
et al . 2014. The bacterial phosphoenolpyruvate: carbohydrate phosphotransferase system: regulation by protein phosphorylation and phosphorylation-dependent protein-protein interactions.Microbiol. Mol. Biol. Rev. 78 : 231-256. - Gu Y, Ma J, Zhu Y, Ding X, Xu P. 2020. Engineering
Yarrowia lipolytica as a chassis for de novo synthesis of five aromatic-derived natural products and chemicals.ACS Synth. Biol. 9 : 20936. - Lyu X, Zhao G, Ng KR, Mark R, Chen WN. 2019. Metabolic engineering of
Saccharomyces cerevisiae for de novo production of Kaempferol.J. Agric. Food Chem. 67 : 5596-5606. - Jones JA, Vernacchio VR, Sinkoe AL, Collins SM, Ibrahim MHA, Lachance DM,
et al . 2016. Experimental and computational optimization of anEscherichia coli co-culture for the efficient production of flavonoids.Metab. Eng. 35 : 55-63. - Zhang W, Liu H, Li X, Liu D, Dong XT, Li FF,
et al . 2017. Production of naringenin from D-xylose with co-culture ofE. coli and S.cerevisiae.Eng. Life Sci. 17 : 1021-1029. - Ganesan V, Li Z, Wang X, Zhang H. 2017. Heterologous biosynthesis of natural product naringenin by co-culture engineering.
Synth. Syst. Biotechnol. 2 : 236-242. - Lv Y, Gu Y, Xu J, Zhou J, Xu P. 2020. Coupling metabolic addiction with negative autoregulation to improve strain stability and pathway yield.
Metab. Eng. 61 : 79-88. - Dinh CV, Chen X, Prather KLJ. 2020. Development of a quorum-sensing based circuit for control of coculture population composition in a naringenin production system.
ACS Synth. Biol. 9 : 590-597. - Dinh CV, Prather KL. 2019. Development of an autonomous and bifunctional quorum-sensing circuit for metabolic flux control in engineered
Escherichia coli .Proc. Natl. Acad. Sci. USA 116 : 25562-25568. - Siedler S, Stahlhut SG, Malla S, Maury J, Neves AR. 2014. Novel biosensors based on flavonoid-responsive transcriptional regulators introduced into
Escherichia coli .Metab. Eng. 21 : 2-8. - Siedler S, Khatri NK, Zsohár A, Kjærbølling I, Vogt M, Hammar P,
et al . 2017. Development of a bacterial biosensor for rapid screening of yeastp -coumaric acid production.ACS Synth. Biol. 6 : 1860-1869.
Related articles in JMB

Article
Research article
J. Microbiol. Biotechnol. 2020; 30(10): 1574-1582
Published online October 28, 2020 https://doi.org/10.4014/jmb.2008.08005
Copyright © The Korean Society for Microbiology and Biotechnology.
Fermentation and Metabolic Pathway Optimization to De Novo Synthesize (2S)-Naringenin in Escherichia coli
Shenghu Zhou1,2†*, Tingting Hao1,2†, and Jingwen Zhou1,2*
1National Engineering Laboratory for Cereal Fermentation Technology, Jiangnan University, Wuxi, Jiangsu 214122, P.R. China
2Jiangsu Provincial Research Center for Bioactive Product Processing Technology, Jiangnan University, Wuxi, Jiangsu 214122, P.R. China
Correspondence to:S.Zhou
Phone: +86-510-85329031
Fax: +86-510-85918309
E-mail: zhoush@jiangnan.edu.cn
J.Zhou
E-mail: zhoujw1982@jiangnan.edu.cn
†These authors contributed equally to this work.
Abstract
Flavonoids have diverse biological functions in human health. All flavonoids contain a common 2-phenyl chromone structure (C6-C3-C6) as a scaffold. Hence, in using such a scaffold, plenty of highvalue-added flavonoids can be synthesized by chemical or biological catalyzation approaches. (2S)-Naringenin is one of the most commonly used flavonoid scaffolds. However, biosynthesizing (2S)-naringenin has been restricted not only by low production but also by the expensive precursors and inducers that are used. Herein, we established an induction-free system to de novo biosynthesize (2S)-naringenin in Escherichia coli. The tyrosine synthesis pathway was enhanced by overexpressing feedback inhibition-resistant genes (aroGfbr and tyrAfbr) and knocking out a repressor gene (tyrR). After optimizing the fermentation medium and conditions, we found that glycerol, glucose, fatty acids, potassium acetate, temperature, and initial pH are important for producing (2S)-naringenin. Using the optimum fermentation medium and conditions, our best strain, Nar-17LM1, could produce 588 mg/l (2S)-naringenin from glucose in a 5-L bioreactor, the highest titer reported to date in E. coli.
Keywords: L-tyrosine, p-coumaric acid, dynamic regulation, flavonoids, temperature-shift
Introduction
Flavonoids are value-added nutritional chemicals that have diverse biological functions; they are antibacterial, anti-atherosclerotic, anti-carcinogenic, and they protect the liver [1, 2]. Under the current industrial production scale, flavonoids are extracted mainly from plant tissues [3, 4]. However, the low content in plant tissues results in a low titer and a high price for flavonoids that cannot satisfy the demands of the market [5]. Furthermore, the harmful solvents and extreme conditions needed in the extraction process also hinder the application of plant extraction [3]. Hence, it is necessary to develop a flavonoid production process that is environmentally friendly and has high efficiency.
Although there are thousands of flavonoids with significantly different structures, all of them contain a common 2-phenyl chromone structure (C6-C3-C6) as a scaffold [6]. Hence, any desired flavonoid could be synthesized from a flavonoid scaffold by either enzymatic or chemical catalyzation methods. In this regard, the achievement of large-scale production by a microbial fermentation approach using flavonoid scaffolds is important for green production. (2
However, the added tyrosine and
According to current reports, the titer of (2
-
Figure 1.
The de novo biosynthesis pathway for (2 (S )-naringenin.A ) Metabolic engineering to enhance the metabolic flux from glucose to L-tyrosine. The red crosses represent genes that were deleted. The bold arrows represent genes that were overexpressed. The thin arrows represent genes that were natively expressed. (B ) The dynamic regulation network of Mut-17, which was constructed in our previous study [19]. (2S )-Naringenin synthesis pathway was constitutively overexpressed [7]. Hence, (2S )-naringenin could accumulate with cell growth. The accumulated (2S )-naringenin activates activator FdeR [37] to repress the fatty acid synthesis pathway to reduce the consumption of malonyl-CoA. Meanwhile, the repressor PadR [38] can be inactivated whenp -coumaric acid accumulates, resulting in the expression of acetyl-CoA synthase (acs ) and acetyl-CoA carboxylase (ACC ) to enhance the biosynthesis of malonyl-CoA. Compound annotation: glyceraldehyde 3-phosphate (G3P); phosphoenolpyruvate (PEP); glucose-6-phosphate (G6P); fructose-6-phosphate (F6P); 4 hydroxyphenylpyruvate (HPPH); Gene or enzyme annotation: glycerol kinase (glpK ); pyruvate kinase I/II (pykF /pykA ); tyrosine repressor (TyrR); acyl carrier protein (ACP); tyrosine aminotransferase (tyrB ); DAHP synthase (aroG /aroH /aroF ); chorismate mutase/prephenate dehydratase (pheA ); glucose-specific IIACB component (ptsG /crr ); galactose permease (galP ); glucokinase (glk ); phosphodiesterase (acpH ); anti-sense RNA of holo-ACP synthase (asacpS ) and holo-ACP synthase 2 (asacpT ); tyrosine ammonia-lyase (tal ), 4-coumarate: CoA ligase (4cl ), chalcone synthase (chs ), chalcone isomerase (chi ).
Materials and Methods
Strains, Medium, and Culture Conditions
-
Table 1 . Strains and plasmids used in this study..
Strains and plasmids Properties Sources Strains E. coli JM109Wild type This study E. coli BL21 (DE3)Wild type This study Mut-17 (2 S )-Naringenin dynamic regulated strain which carrying pETM-PUTRtrxA-TAL-PUTRtalB-4CL, pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI, pACM-PfdeR-FdeR-PfdeA-17-acpH-asacpT-asacpS, and pRSM-PadR-acs-ACC[19] Nar-17LL pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI was replaced by pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PyjiY -tyrA fbr-PyjiY -aroG fbr in Mut-17This study Nar-17HL pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI was replaced by pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PglpD -tyrA fbr-PyjiY -aroG fbr in Mut-17This study Nar-17HM pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI was replaced by pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PglpD -tyrA fbr-PtalB -aroG fbr in Mut-17This study Nar-17LM pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI was replaced by pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PyjiY -tyrA fbr-PtalB -aroG fbr in Mut-17This study Nar-17LM1 tyrR was knockout in Nar-17LMThis study Nar-17LM2 tyrR ,pstG , andcrr were knockout in Nar-17LMThis study Nar-17LM3 tyrR ,pstG ,crr , andpheA were knockout in Nar-17LMThis study Nar-17LM4 tyrR ,pstG ,crr ,pheA , andpykF were knockout in Nar-17LMThis study Plasmids pETM-PUTRtrxA-TAL-PUTRtalB-4CL Ampr, pETM6 backbone, the expression of tal and was controlled by PUTRtrxA and PUTRtalB, respectively.4cl [7] pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI Strr, pCDM4 backbone, the expression of chi andchs was controlled by PssrA-UTRrpsT and PUTRglpD, respectively.[7] pACM-PfdeR-FdeR-PfdeA-17-acpH-asacpT-asacpS Cmr, pACM4 backbone, PfdeR and PfdeA-17 controlled the expression of fdeR andacpH , respectively. PfdeA controlled the expression of asacpT and asacpS .[19] pRSM-PadR-acs- ACC Kanr, pRSM3 backbone, PcspA and PpadC controlled the expression of padR andacs, ACC , respectively.[19] pMD- tyrA fbr-aroG fbrAmpr, T-vector pMDTM19 (Simple) carrying tyrA fbr andaroG fbr[14] pMD-P yjiY -tyrA fbr-aroG fbrAmpr, pMD- tyrA fbr-aroG fbr backbone, PyjiY controlled the expression oftyrA fbrThis study pMD-P glpD -tyrA fbr-aroG fbrAmpr, pMD- tyrA fbr-aroG fbr backbone, PglpD controlled the expression oftyrA fbrThis study pMD-P yjiY -tyrA fbr-PtalB -aroG fbrAmpr, pMD-P yjiY -tyrA fbr-aroG fbr backbone, PtalB controlled the expression ofaroG fbrThis study pMD-P yjiY -tyrA fbr-PyjiY -aroG fbrAmpr, pMD-P yjiY -tyrA fbr-aroG fbr backbone, PyjiY controlled the expression ofaroG fbrThis study pMD-P glpD -tyrA fbr-PyjiY -aroG fbrAmpr, pMD-P glpD -tyrA fbr-aroG fbr backbone, PyjiY controlled the expression ofaroG fbrThis study pMD-P glpD -tyrA fbr-PtalB -aroG fbrAmpr, pMD-P glpD -tyrA fbr-aroG fbr backbone, PtalB controlled the expression ofaroG fbrThis study pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PyjiY -tyrA fbr-PtalB -aroG fbrStrr, pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI backbone, P yjiY and PtalB controled the expression oftyrA fbr andaroG fbr, respectively.This study pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PyjiY -tyrA fbr-PyjiY -aroG fbrStrr, pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI backbone, P yjiY and PyjiY controled the expression oftyrA fbr andaroG fbr, respectively.This study pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PglpD -tyrA fbr-PyjiY -aroG fbrStrr, pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI backbone, P glpD and PyjiY controled the expression oftyrA fbr andaroG fbr, respectively.This study pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PglpD -tyrA fbr-PtalB -aroG fbrStrr, pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI backbone, P glpD and PtalB controled the expression oftyrA fbr andaroG fbr, respectively.This study
Fermentation Optimization
Fermentation seeds were cultured for 12 h in LB medium and used to optimize the fermentation conditions and medium components. In order to optimize the fermentation temperature, after incubation, the strains were cultured at 37°C for different times (2, 4, 7, and 10 h) for cell growth, and then transferred to 30°C, 25°C, and 20°C for (2
Different concentrations of carbon and nitrogen sources were added in the original MOPS minimal medium in deep 24-well plates to optimize the medium components. Specifically, the optimum concentrations of KAc (1.2, 2.5, 5, and 7.5 g/l), peptone (2.5, 5, 10, and 15 g/l), glucose (5.5, 10, 15, and 20 g/l), ammonia chloride (6.5, 9, 14, and 19 g/l), yeast extract (2.5, 5, 10, and 15 g/l), glycerol (2.5, 5, 10, and 15 g/l), myristic acid (2.5, 5, 10, and 15 g/l), palmitic acid (2.5, 5, 10, and 15 g/l), stearic acid (2.5, 5, 10, and 15 g/l), and cis-11-octadecenoic acid (2.5, 5, 10, and 15 g/l) in the MOPS minimal medium were investigated. The titers of (2
Plasmid Construction
The promoters P
-
Table 2 . Primers used in this study..
Primers Sequence (from 5′ to 3′)* P yjiy -aroG -FGAAATAATTTTGTTTAACTTTAATAAGGAGATATAGCGGCCGCAAATAACCACTCAGTTATTTACCTTAC P yjiy -aroG -RCGTAAATCGTCGTTCTGATAATTCATCCCGGGAGTAAAACCTGGCATGTATTGAT P yjiy -tyrA -FTAAAAGCGCGTCGCGGGTAACTGCAGAAATAACCACTCAGTTATTTACCTTAC P yjiy -tyrA -RCGTAATGCGGTCAATTCAGCAACCATGGAGTAAAACCTGGCATGTATTGAT P talB -aroG -FGAAATAATTTTGTTTAACTTTAATAAGGAGATATAGCGGCCGCCCTGGCGATAACCGTCTT P talB -aroG -RCGTAAATCGTCGTTCTGATAATTCATCCCGGGGATAGTATTTCTCTTTAAACAGCTTGT P glpD -tyrA -FTAAAAGCGCGTCGCGGGTAACTGCAGTCACTCTAAAATGTTTTTTCAATGT P glpD -tyrA -RCGTAATGCGGTCAATTCAGCAACCATGGGCTGCCCTCATTCACTTTC aroG -FCAATTCCCCTGTAGAAATAATTTTGTTTAAC aroG -RGTAACTCTTTGATTTCTTTGATGCGTAAATC tyrA -FCTGTTACGTCAACTGGCGAATGC tyrA -RTATCGACTTCATCAATTTGATCGCG tyrA -aroG -FTGATCTTTTCTACTGAACCGCTCTAGACCCCTGTAGAAATAATTTTGTTTAACTTTAATA tyrA -aroG -RCGGATGTGATAGCCAATGGATCCGACCATGATTACGCCAAGTTTGC
Analysis Methods
To quantitatively analyze the titers of (2
Results
Optimization of Medium Components
Medium components not only influence cell growth, they are also closely related to the production of (2
-
Figure 2.
The influence of medium components on growth state, as well as (2 Different concentrations of extra nitrogen sources, carbon sources, fatty acids, and MnCl2 were added to the MOPS minimal medium. MOPS minimal medium already contains 4 g/l NH4Cl, 5 g/l glucose, and 0.1 g/l MnCl2. Fermentation in MOPS minimal medium was used as the control. The red dashed line represents the (2S )-naringenin andp -coumaric acid titer, of Mut-17.S )-naringenin titer of the control.
Malonyl-CoA is the main limiting factor for (2
Malonyl-CoA mainly flows into the native fatty acid pathway. Thus, repressing the metabolic flux of the fatty acid pathway could efficiently enhance the accumulation of malonyl-CoA [23]. Here, the dynamic regulation system of Mut-17 could repress the fatty acid synthesis pathway according to the concentration of (2
Optimization of the Fermentation Conditions
Temperature and pH are important factors that can significantly influence cell growth and pathway enzyme activity. Generally, fermentation requires a set of conditions for cell growth in the early growth stage and then a set of conditions for the production stage. Wherein, temperature not only influenced cell growth but also significantly influenced the activity of enzymes. Furthermore, the enzymes from different origins usually have different optimum catalyzation temperature [25]. With this background, we investigated a temperature-shift fermentation strategy. Mut-17 was cultured at 37°C for different times for cell growth, and then transferred to a lower temperature for (2
-
Figure 3.
Temperature and pH optimization. (A ) Temperature-shift strategy to optimize the time and temperature of the growth stage and production stage. (B ) Initial pH optimization. The control had a natural pH (7.4) of MOPS.
Fermentation was subsequently performed in a shake flask under the above optimum medium and conditions (that is, adding 4 g/l NH4Cl, 15 g/l glucose, 2.5 g/l glycerol, 7.5 g/l KAc, 2.5 g/l palmitic acid, and 2.5 g/l stearic acid in MOPS minimal medium, initial pH 7.0, 37°C culture for 2 h and then transfer to 25°C). To maintain a pH higher than 5.6 in the fermentation process, we added 5 g/l CaCO3 to the shake flasks. Finally, Mut-17 produced 391 mg/l (2
-
Figure 4.
Shake flask fermentation in the optimum medium for (2 (S )-naringenin production from tyrosine (A ) and glucose (B ).A ) Mut-17 was used for fermentation; (B ) The expression levels of the anti-feedback inhibition genes (aroG fbr andtyrA fbr) were optimized by promoters with different strengths. 0 h represents the starting time of temperature shifting.
Releasing the Feedback Inhibition for De Novo Synthesis of (2S )-Naringenin
In the tyrosine synthesis pathway,
Enhancing the Metabolic Flux from Glucose to L-Tyrosine
In order to further improve the metabolic flux of the tyrosine biosynthesis pathway, we introduced the (2
-
Figure 5.
De novo biosynthesis of (2 (S )-naringenin by knockout strains in a shake flask (A ) and 5-L bioreactor (B ).A ) A minus represents the relative genes that were knocked out; (B ) Nar-17LM1 was the producer for fed-batch fermentation. Black triangles represent the time points at which 30 mL of 500 g/l glucose was fed. 0 h represents the starting time of temperature shifting.
Fed-Batch Fermentation in a 5-L Bioreactor
To further improve the titer of (2
Discussion
(2
The de novo biosynthesis pathway of (2
In the fermentation process, we found that organic nitrogen sources, such as yeast extract and peptone, promoted cell growth but reduced (2
Acknowledgments
This work was supported by the National Science Fund for Excellent Young Scholars (21822806), the National Natural Science Foundation of China (31900066 and 31770097), and the Fundamental Research Funds for the Central Universities (JUSRP12056).
Conflict of Interest
The authors have no financial conflicts of interest to declare.
Fig 1.

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Fig 5.

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Table 1 . Strains and plasmids used in this study..
Strains and plasmids Properties Sources Strains E. coli JM109Wild type This study E. coli BL21 (DE3)Wild type This study Mut-17 (2 S )-Naringenin dynamic regulated strain which carrying pETM-PUTRtrxA-TAL-PUTRtalB-4CL, pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI, pACM-PfdeR-FdeR-PfdeA-17-acpH-asacpT-asacpS, and pRSM-PadR-acs-ACC[19] Nar-17LL pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI was replaced by pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PyjiY -tyrA fbr-PyjiY -aroG fbr in Mut-17This study Nar-17HL pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI was replaced by pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PglpD -tyrA fbr-PyjiY -aroG fbr in Mut-17This study Nar-17HM pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI was replaced by pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PglpD -tyrA fbr-PtalB -aroG fbr in Mut-17This study Nar-17LM pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI was replaced by pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PyjiY -tyrA fbr-PtalB -aroG fbr in Mut-17This study Nar-17LM1 tyrR was knockout in Nar-17LMThis study Nar-17LM2 tyrR ,pstG , andcrr were knockout in Nar-17LMThis study Nar-17LM3 tyrR ,pstG ,crr , andpheA were knockout in Nar-17LMThis study Nar-17LM4 tyrR ,pstG ,crr ,pheA , andpykF were knockout in Nar-17LMThis study Plasmids pETM-PUTRtrxA-TAL-PUTRtalB-4CL Ampr, pETM6 backbone, the expression of tal and was controlled by PUTRtrxA and PUTRtalB, respectively.4cl [7] pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI Strr, pCDM4 backbone, the expression of chi andchs was controlled by PssrA-UTRrpsT and PUTRglpD, respectively.[7] pACM-PfdeR-FdeR-PfdeA-17-acpH-asacpT-asacpS Cmr, pACM4 backbone, PfdeR and PfdeA-17 controlled the expression of fdeR andacpH , respectively. PfdeA controlled the expression of asacpT and asacpS .[19] pRSM-PadR-acs- ACC Kanr, pRSM3 backbone, PcspA and PpadC controlled the expression of padR andacs, ACC , respectively.[19] pMD- tyrA fbr-aroG fbrAmpr, T-vector pMDTM19 (Simple) carrying tyrA fbr andaroG fbr[14] pMD-P yjiY -tyrA fbr-aroG fbrAmpr, pMD- tyrA fbr-aroG fbr backbone, PyjiY controlled the expression oftyrA fbrThis study pMD-P glpD -tyrA fbr-aroG fbrAmpr, pMD- tyrA fbr-aroG fbr backbone, PglpD controlled the expression oftyrA fbrThis study pMD-P yjiY -tyrA fbr-PtalB -aroG fbrAmpr, pMD-P yjiY -tyrA fbr-aroG fbr backbone, PtalB controlled the expression ofaroG fbrThis study pMD-P yjiY -tyrA fbr-PyjiY -aroG fbrAmpr, pMD-P yjiY -tyrA fbr-aroG fbr backbone, PyjiY controlled the expression ofaroG fbrThis study pMD-P glpD -tyrA fbr-PyjiY -aroG fbrAmpr, pMD-P glpD -tyrA fbr-aroG fbr backbone, PyjiY controlled the expression ofaroG fbrThis study pMD-P glpD -tyrA fbr-PtalB -aroG fbrAmpr, pMD-P glpD -tyrA fbr-aroG fbr backbone, PtalB controlled the expression ofaroG fbrThis study pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PyjiY -tyrA fbr-PtalB -aroG fbrStrr, pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI backbone, P yjiY and PtalB controled the expression oftyrA fbr andaroG fbr, respectively.This study pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PyjiY -tyrA fbr-PyjiY -aroG fbrStrr, pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI backbone, P yjiY and PyjiY controled the expression oftyrA fbr andaroG fbr, respectively.This study pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PglpD -tyrA fbr-PyjiY -aroG fbrStrr, pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI backbone, P glpD and PyjiY controled the expression oftyrA fbr andaroG fbr, respectively.This study pCDM-PssrA-UTRrpsT- chs -PUTRglpD-chi -PglpD -tyrA fbr-PtalB -aroG fbrStrr, pCDM-PssrA-UTRrpsT-CHS-PUTRglpD-CHI backbone, P glpD and PtalB controled the expression oftyrA fbr andaroG fbr, respectively.This study
-
Table 2 . Primers used in this study..
Primers Sequence (from 5′ to 3′)* P yjiy -aroG -FGAAATAATTTTGTTTAACTTTAATAAGGAGATATAGCGGCCGCAAATAACCACTCAGTTATTTACCTTAC P yjiy -aroG -RCGTAAATCGTCGTTCTGATAATTCATCCCGGGAGTAAAACCTGGCATGTATTGAT P yjiy -tyrA -FTAAAAGCGCGTCGCGGGTAACTGCAGAAATAACCACTCAGTTATTTACCTTAC P yjiy -tyrA -RCGTAATGCGGTCAATTCAGCAACCATGGAGTAAAACCTGGCATGTATTGAT P talB -aroG -FGAAATAATTTTGTTTAACTTTAATAAGGAGATATAGCGGCCGCCCTGGCGATAACCGTCTT P talB -aroG -RCGTAAATCGTCGTTCTGATAATTCATCCCGGGGATAGTATTTCTCTTTAAACAGCTTGT P glpD -tyrA -FTAAAAGCGCGTCGCGGGTAACTGCAGTCACTCTAAAATGTTTTTTCAATGT P glpD -tyrA -RCGTAATGCGGTCAATTCAGCAACCATGGGCTGCCCTCATTCACTTTC aroG -FCAATTCCCCTGTAGAAATAATTTTGTTTAAC aroG -RGTAACTCTTTGATTTCTTTGATGCGTAAATC tyrA -FCTGTTACGTCAACTGGCGAATGC tyrA -RTATCGACTTCATCAATTTGATCGCG tyrA -aroG -FTGATCTTTTCTACTGAACCGCTCTAGACCCCTGTAGAAATAATTTTGTTTAACTTTAATA tyrA -aroG -RCGGATGTGATAGCCAATGGATCCGACCATGATTACGCCAAGTTTGC
References
- Orhan IE, Nabavi SF, Daglia M, Tenore GC, Mansouri K, Nabavi SM. 2015. Naringenin and atherosclerosis: a review of literature.
Curr. Pharm. Biotechnol. 16 : 245-251. - Liu HL, Jiang WB, Xie MX. 2010. Flavonoids: recent advances as anticancer drugs.
Recent Pat. Anticancer Drug Discov. 5 : 152-164. - Skarpalezos D, Detsi A. 2019. Deep eutectic solvents as extraction media for valuable flavonoids from natural sources.
Appl. Sci. 9 : 11749-11752. - Sharma K, Mahato N, Lee YR. 2019. Extraction, characterization and biological activity of citrus flavonoids.
Rev. Chem. Eng. 35 : 265-284. - Guo P, Yan W, Han Q, Wang C, Zhang Z. 2015. Simultaneous quantification of 25 active constituents in the total flavonoids extract from
Herba Desmodii Styracifolii by high-performance liquid chromatography with electrospray ionization tandem mass spectrometry.J. Sep. Sci. 38 : 1156-1163. - Wu JJ, Du GC, Zhou JW, Chen J. 2014. Systems metabolic engineering of microorganisms to achieve large-scale production of flavonoid scaffolds.
J. Biotechnol. 188 : 72-80. - Zhou S, Lyu Y, Li H, Koffas MA, Zhou J. 2019. Fine-tuning the (2
S )-naringenin synthetic pathway using an iterative high-throughput balancing strategy.Biotechnol. Bioeng. 116 : 1392-1404. - Salehi B, Fokou PVT, Sharifi-Rad M, Zucca P, Pezzani R, Martins N,
et al . 2019. The therapeutic potential of naringenin: a review of clinical trials.Pharmaceuticals 12 : 11. - Wu JJ, Yu O, Du GC, Zhou JW, Chen J. 2014. Fine-tuning of the fatty acid pathway by synthetic antisense RNA for enhanced (2
S )-naringenin production from L-tyrosine inEscherichia coli .Appl. Environ. Microbiol. 80 : 7283-7292. - Wu JJ, Du GC, Chen J, Zhou JW. 2015. Enhancing flavonoid production by systematically tuning the central metabolic pathways based on a CRISPR interference system in
Escherichia coli .Sci. Rep-UK 5 : 13477. - Lyu X, Ng KR, Lee JL, Mark R, Chen WN. 2017. Enhancement of naringenin biosynthesis from tyrosine by metabolic engineering of
Saccharomyces cerevisiae .J. Agr. Food Chem. 65 : 6638-6646. - Gao S, Lyu Y, Zeng W, Du G, Zhou J, Chen J. 2020. Efficient biosynthesis of (2
S )-naringenin fromp -coumaric acid inSaccharomyces cerevisiae .J. Agric. Food Chem. 68 : 1015-1021. - Gao S, Zhou H, Zhou J, Chen J. 2020. Promoter library based pathway optimization for efficient (2
S )-naringenin production fromp -coumaric acid inSaccharomyces cerevisiae .J. Agr. Food Chem. 68 : 6884-6891. - Wu JJ, Zhou TT, Du GC, Zhou JW, Chen J. 2014. Modular optimization of heterologous pathways for de novo synthesis of (2
S )-naringenin inEscherichia coli .PLoS One 9 : e101492. - Raman S, Rogers JK, Taylor ND, Church GM. 2014. Evolution-guided optimization of biosynthetic pathways.
Proc. Natl. Acad. Sci. USA 111 : 17803-17808. - Lv Y, Marsafari M, Koffas M, Zhou J, Xu P. 2019. Optimizing oleaginous yeast cell factories for flavonoids and hydroxylated flavonoids biosynthesis.
ACS Synth. Biol. 8 : 2514-2523. - Wei W, Zhang P, Shang Y, Zhou Y, Ye B-C. 2020. Metabolically engineering of
Yarrowia lipolytica for the biosynthesis of naringenin from a mixture of glucose and xylose.Bioresour. Technol. 314 : 123726. - Palmer CM, Miller KK, Nguyen A, Alper HS. 2020. Engineering 4-coumaroyl-CoA derived polyketide production in
Yarrowia lipolytica through a β-oxidation mediated strategy.Metab. Eng. 57 : 174-181. - Zhou S, Yuan S-F, Nair PH, Alper HS, Deng Y, Zhou J. 2020. Development of a growth coupled dynamic regulation network balancing malonyl-CoA node to enhance (2
S )-naringenin synthesis in E.coli. BioRxiv 7 : 192633. - Neidhardt FC, Bloch PL, Smith DF. 1974. Culture medium for enterobacteria.
J. Bacteriol. 119 : 736-747. - Pandey RP, Parajuli P, Koffas MAG, Sohng JK. 2016. Microbial production of natural and non-natural flavonoids: pathway engineering, directed evolution and systems/synthetic biology.
Biotechnol. Adv. 34 : 634-662. - Zhou S, Hao T, Xu S, Deng Y. 2020. Coenzyme A thioester-mediated carbon chain elongation as a paintbrush to draw colorful chemical compounds.
Biotechnol. Adv. 43 : 107575. - Xu P, Ranganathan S, Fowler ZL, Maranas CD, Koffas MAG. 2011. Genome-scale metabolic network modeling results in minimal interventions that cooperatively force carbon flux towards malonyl-CoA.
Metab. Eng. 13 : 578-587. - Heil CS, Wehrheim SS, Paithankar KS, Grininger M. 2019. Fatty acid biosynthesis: chain-length regulation and control.
ChemBi°Chem. 20 : 2298-2321. - Arcus VL, Prentice EJ, Hobbs JK, Mulholland AJ, Van der Kamp MW, Pudney CR,
et al . 2016. On the temperature dependence of enzyme-catalyzed rates.Biochemistry 55 : 1681-1688. - Zhou S, Ding R, Chen J, Du G, Li HZ, Zhou J. 2017. Obtaining a panel of cascade promoter-5'-UTR complexes in
Escherichia coli .ACS Synth. Biol. 6 : 1065-1075. - Fordjour E, Adipah FK, Zhou S, Du G, Zhou J. 2019. Metabolic engineering of
Escherichia coli BL21 (DE3) for de novo production of L-DOPA from D-glucose.Microb. Cell Fact. 18 : 74. - Deutscher J, Aké FMD, Derkaoui M, Zébré AC, Cao TN, Bouraoui H,
et al . 2014. The bacterial phosphoenolpyruvate: carbohydrate phosphotransferase system: regulation by protein phosphorylation and phosphorylation-dependent protein-protein interactions.Microbiol. Mol. Biol. Rev. 78 : 231-256. - Gu Y, Ma J, Zhu Y, Ding X, Xu P. 2020. Engineering
Yarrowia lipolytica as a chassis for de novo synthesis of five aromatic-derived natural products and chemicals.ACS Synth. Biol. 9 : 20936. - Lyu X, Zhao G, Ng KR, Mark R, Chen WN. 2019. Metabolic engineering of
Saccharomyces cerevisiae for de novo production of Kaempferol.J. Agric. Food Chem. 67 : 5596-5606. - Jones JA, Vernacchio VR, Sinkoe AL, Collins SM, Ibrahim MHA, Lachance DM,
et al . 2016. Experimental and computational optimization of anEscherichia coli co-culture for the efficient production of flavonoids.Metab. Eng. 35 : 55-63. - Zhang W, Liu H, Li X, Liu D, Dong XT, Li FF,
et al . 2017. Production of naringenin from D-xylose with co-culture ofE. coli and S.cerevisiae.Eng. Life Sci. 17 : 1021-1029. - Ganesan V, Li Z, Wang X, Zhang H. 2017. Heterologous biosynthesis of natural product naringenin by co-culture engineering.
Synth. Syst. Biotechnol. 2 : 236-242. - Lv Y, Gu Y, Xu J, Zhou J, Xu P. 2020. Coupling metabolic addiction with negative autoregulation to improve strain stability and pathway yield.
Metab. Eng. 61 : 79-88. - Dinh CV, Chen X, Prather KLJ. 2020. Development of a quorum-sensing based circuit for control of coculture population composition in a naringenin production system.
ACS Synth. Biol. 9 : 590-597. - Dinh CV, Prather KL. 2019. Development of an autonomous and bifunctional quorum-sensing circuit for metabolic flux control in engineered
Escherichia coli .Proc. Natl. Acad. Sci. USA 116 : 25562-25568. - Siedler S, Stahlhut SG, Malla S, Maury J, Neves AR. 2014. Novel biosensors based on flavonoid-responsive transcriptional regulators introduced into
Escherichia coli .Metab. Eng. 21 : 2-8. - Siedler S, Khatri NK, Zsohár A, Kjærbølling I, Vogt M, Hammar P,
et al . 2017. Development of a bacterial biosensor for rapid screening of yeastp -coumaric acid production.ACS Synth. Biol. 6 : 1860-1869.