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可调节基因表达系统,不依赖下游编码序列。

Tunable Gene Expression System Independent of Downstream Coding Sequence.

机构信息

School of Integrative Engineering, Chung-Ang University, 84 Heukseok-ro, Dongjak-gu, Seoul 06974, Republic of Korea.

Department of Chemical and Biomolecular Engineering (BK21 Plus program), KAIST, 291 Daehak-ro, Yuseong-gu, Daejeon 34141, Republic of Korea.

出版信息

ACS Synth Biol. 2020 Nov 20;9(11):2998-3007. doi: 10.1021/acssynbio.0c00029. Epub 2020 Oct 14.

Abstract

Fine control of the expression levels of proteins constitutes a major challenge in synthetic biology and metabolic engineering. However, the dependence of translation initiation on the downstream coding sequence (CDS) obscures accurate prediction of the protein expression levels from mRNA sequences. Here, we present a tunable gene-expression system comprising 24 expression cassettes that produce predefined relative expression levels of proteins ranging from 0.001 to 1 without being influenced by the downstream CDS. To validate the practical utility of the tunable expression system, it was applied to a synthetic circuit displaying three states of fluorescence depending on the difference in protein expression levels. To demonstrate the suitability of application to metabolic engineering, this system was used to diversify the levels of key metabolic enzymes. As a result, expression-optimized strains were capable of producing 2.25 g/L of cadaverine, 2.59 g/L of L-proline, and 95.7 mg/L of 1-propanol. Collectively, the tunable expression system could be utilized to optimize genetic circuits for desired operation and to optimize metabolic fluxes through biosynthetic pathways for enhancing production yields of bioproducts. This tunable system will be useful for studying basic and applied biological sciences in addition to applications in synthetic biology and metabolic engineering.

摘要

精细控制蛋白质的表达水平是合成生物学和代谢工程的主要挑战。然而,翻译起始对下游编码序列(CDS)的依赖使得从 mRNA 序列准确预测蛋白质表达水平变得复杂。在这里,我们提出了一个由 24 个表达盒组成的可调基因表达系统,该系统可以在不受下游 CDS 影响的情况下产生从 0.001 到 1 的预定相对蛋白表达水平。为了验证可调表达系统的实际应用,我们将其应用于一个显示荧光取决于蛋白表达水平差异的三个状态的合成回路。为了证明该系统适用于代谢工程的应用,我们使用该系统来多样化关键代谢酶的水平。结果表明,优化表达的菌株能够生产 2.25 g/L 的尸胺、2.59 g/L 的 L-脯氨酸和 95.7 mg/L 的 1-丙醇。总的来说,该可调表达系统可用于优化所需操作的遗传回路,并通过生物合成途径优化代谢通量以提高生物制品的产量。除了在合成生物学和代谢工程中的应用外,该可调系统还将有助于基础和应用生物学的研究。

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