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本文引用的文献

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Chromosomal promoter replacement of the isoprenoid pathway for enhancing carotenoid production in E. coli.用于增强大肠杆菌中类胡萝卜素产量的类异戊二烯途径的染色体启动子替换
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DINAMelt web server for nucleic acid melting prediction.用于核酸熔解预测的DINAMelt网络服务器。
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Identification of genes affecting lycopene accumulation in Escherichia coli using a shot-gun method.采用鸟枪法鉴定影响大肠杆菌中番茄红素积累的基因。
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通过多重基因组工程和加速进化对细胞进行编程。

Programming cells by multiplex genome engineering and accelerated evolution.

作者信息

Wang Harris H, Isaacs Farren J, Carr Peter A, Sun Zachary Z, Xu George, Forest Craig R, Church George M

机构信息

Department of Genetics, Harvard Medical School, Boston, Massachusetts 02115, USA.

Program in Biophysics, Harvard University, Cambridge, Massachusetts 02138, USA.

出版信息

Nature. 2009 Aug 13;460(7257):894-898. doi: 10.1038/nature08187. Epub 2009 Jul 26.

DOI:10.1038/nature08187
PMID:19633652
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC4590770/
Abstract

The breadth of genomic diversity found among organisms in nature allows populations to adapt to diverse environments. However, genomic diversity is difficult to generate in the laboratory and new phenotypes do not easily arise on practical timescales. Although in vitro and directed evolution methods have created genetic variants with usefully altered phenotypes, these methods are limited to laborious and serial manipulation of single genes and are not used for parallel and continuous directed evolution of gene networks or genomes. Here, we describe multiplex automated genome engineering (MAGE) for large-scale programming and evolution of cells. MAGE simultaneously targets many locations on the chromosome for modification in a single cell or across a population of cells, thus producing combinatorial genomic diversity. Because the process is cyclical and scalable, we constructed prototype devices that automate the MAGE technology to facilitate rapid and continuous generation of a diverse set of genetic changes (mismatches, insertions, deletions). We applied MAGE to optimize the 1-deoxy-D-xylulose-5-phosphate (DXP) biosynthesis pathway in Escherichia coli to overproduce the industrially important isoprenoid lycopene. Twenty-four genetic components in the DXP pathway were modified simultaneously using a complex pool of synthetic DNA, creating over 4.3 billion combinatorial genomic variants per day. We isolated variants with more than fivefold increase in lycopene production within 3 days, a significant improvement over existing metabolic engineering techniques. Our multiplex approach embraces engineering in the context of evolution by expediting the design and evolution of organisms with new and improved properties.

摘要

自然界中生物体基因组多样性的广度使种群能够适应多样的环境。然而,基因组多样性在实验室中很难产生,新的表型在实际时间尺度上也不容易出现。尽管体外和定向进化方法已经创造出具有有用改变表型的遗传变异,但这些方法仅限于对单个基因进行费力的连续操作,并不用于基因网络或基因组的并行和连续定向进化。在此,我们描述了用于细胞大规模编程和进化的多重自动化基因组工程(MAGE)。MAGE可同时靶向染色体上的多个位置,以便在单个细胞或一群细胞中进行修饰,从而产生组合基因组多样性。由于该过程是循环且可扩展的,我们构建了自动化MAGE技术的原型设备,以促进快速且连续地产生各种遗传变化(错配、插入、缺失)。我们应用MAGE优化大肠杆菌中1-脱氧-D-木酮糖-5-磷酸(DXP)生物合成途径,以过量生产具有工业重要性的类异戊二烯番茄红素。使用合成DNA的复合文库同时修饰DXP途径中的24个遗传元件,每天可产生超过43亿个组合基因组变体。我们在3天内分离出番茄红素产量增加了五倍以上 的变体,这比现有的代谢工程技术有显著改进。我们的多重方法通过加速具有新的和改进特性的生物体的设计和进化,在进化背景下融入了工程学理念。