Team:SDU-CHINA/Description
Background
As one of the foundations of sustainable development, metabolic engineering rebuilds and optimizes metabolic network as well as regulatory pathways within cells to enhance production of native metabolites or to endow cells with the ability to produce new products. These products include fuels, chemicals, foods, feeds, and pharmaceuticals. [1, 2] In order to improve the titer and yield of the target product, both the overexpression of genes responsible for target compound production [3,4,5] and the deletion of genes responsible for by-product synthesis [6,7,8,9] are required.
However, some of these deleted genes are responsible for the synthesis of intermediates of important metabolic pathways, which can influence bacterial growth and cell maintenance. Deletion of these genes would increase the titer and yield of the desired product per cell but decrease the growth rate and final cell density, perhaps resulting in cell death. After all, the final cell density is important for the total titer and yield during fermentation.
An alternative approach is to keep the expression of these genes high until an adequate cell mass is achieved, then turn these genes off. For example, instead of permanently knocking out a gene from the chromosome, a novel gene expression control system could conditionally inhibit the expression of a specific gene. [10]
A common choice is the use of commercially available induction systems, for instance, based on L-arabinose and isopropyl-b-D- thiogalactoside (IPTG) for the expression of enzymatic pathways. The use of artificial inducers, although effective, is less favourable because of the high cost of inducers, inducer toxicity, and incompatibilities with industrial scale-up.[11]
In recent years, With the development of optogenetics in synthetic biology, precisely, a variety of light sensors provide a powerful piece of kit that can control cellular processes spatially and temporally.[12-16] On the one hand, as the inducer, light is not only cheaper and no-toxic, but also regulates the gene expression rapidly. On the other hand, using light as the inducer can avoid tedious genetic manipulation, and the conditions such as light duration, light intensity can be optimized from outside. Moreover, light has the other properties such as invertibility, spatial and temporal precision, and it can be the interface between electricity and organisms.
[1] Keasling, J.D., 2013. Manufacturing molecules through metabolic engineering. Science 330, 1355–1358.
[2] Rabinovitch-Deere, C.A., Oliver, J.W., Rodriguez, G.M., Atsumi, S., 2013. Synthetic biology and metabolic engineering approaches to produce biofuels. Chem. Rev. 113, 4611–4632.
[3] Wang, C.W., Oh, M.K., Liao, J.C., 1999. Engineered isoprenoid pathway enhances astaxanthin production in Escherichia coli. Biotechnol. Bioeng. 62, 235–241.
[4] Lee, K.H., Park, J.H., Kim, T.Y., Kim, H.U., Lee, S.Y., 2007. Systems metabolic engineering of Escherichia coli for L -threonine production. Mol. Syst. Biol. 3, 149.
[5] Lütke-Eversloh, T., Stephanopoulos, G., 2008. Combinatorial pathway analysis for improved L -tyrosine production in Escherichia coli: identification of enzymatic bottlenecks by systematic gene overexpression. Metab. Eng. 10, 69–77.
[6] Clomburg, J.M., Gonzalez, R., 2010. Metabolic engineering of Escherichia coli for the production of 1,2-propanediol from glycerol. Biotechnol. Bioeng. 108, 867–879.
[7] Qian, Z.G., Xia, X.X., Lee, S.Y., 2009. Metabolic engineering of Escherichia coli for the production of putrescine: a four carbon diamine. Biotechnol. Bioeng. 104, 651–662.
[8] Atsumi, S., Cann, A.F., Connor, M.R., Shen, C.R., Smith, K.M., Brynildsen, M.P., Chou, K.J., Hanai, T., Liao, J.C., 2008a. Metabolic engineering of Escherichia coli for
1-butanol production. Metab. Eng. 10, 305–311.
[9] Balzer, G.J., Thakker, C., Bennett, G.N., San, K.Y., 2013. Metabolic engineering of Escherichia coli to minimize byproduct formate and improving succinate productivity through increasing NADH availability by heterologous expression of NAD þ -dependent formate dehydrogenase. Metab. Eng. 20, 1–8.
[10] Metabolic flux redirection from a central metabolic pathway toward a synthetic pathway using a metabolic toggle switch
[11] A Two-Layer Gene Circuit for Decoupling Cell Growth from Metabolite Production
[12] Dynamic Blue Light-Inducible T7 RNA Polymerases (Opto-T7RNAPs) for Precise Spatiotemporal Gene Expression Control.
[13] Engineered Photoactivatable Genetic Switches Based on the Bacterium Phage T7 RNA Polymerase
[14] A, Ellington AD, Marcotte EM, Voigt CA. Engineering Escherichia coli to see light. Nature438:441–442. (2005)
[15] Tabor JJ, Levskaya A, Voigt CA. Multichromatic control of gene expression in Escherichia coli. J Mol Biol 405:315–324. (2011)
[16] Fernandez-Rodriguez, Moser, Song, Voigt. Engineering RGB color vision into Escherichia coli.Nature (2017)
