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用于改善大肠杆菌中番茄红素生物合成的多维基因靶点搜索

Multi-dimensional gene target search for improving lycopene biosynthesis in Escherichia coli.

作者信息

Jin Yong-Su, Stephanopoulos Gregory

机构信息

Department of Chemical Engineering, Massachusetts Institute of Technology, Cambridge, MA 02139, USA.

出版信息

Metab Eng. 2007 Jul;9(4):337-47. doi: 10.1016/j.ymben.2007.03.003. Epub 2007 Apr 12.

Abstract

Identification of multiple gene targets that exhibit different modes of action toward a desired phenotype is a crucial step in strain improvement. Target identification methods based on traceable genetic perturbations and stoichiometric modeling have been employed before for the mining of putative overexpression and knock-out targets. Most search methods are sequential and, as such, quite limited in the space they can explore. In this study, we investigate a multi-dimensional search approach whereby unknown interactions of gene targets identified by different search methods are assessed by employing orthogonal search strategies. To this end, we combined knock-out and overexpression gene targets, identified through systematic and combinatorial approaches, respectively, in order to improve lycopene production in Escherichia coli. Specifically, we first identified multiple overexpression targets by screening genomic libraries of E. coli in a sequential-iterative manner. Targets so identified confirmed previously amplified genes in the non-mevalonate pathway (dxs and idi) and some regulatory genes (rpoS and appY). Additionally, this method revealed novel gene targets (yjiD, ycgW, yhbL, purDH, and yggT). A two-dimensional search was subsequently undertaken, whereby the selected overexpression targets were combined with the knock-out targets predicted by stoichiometric modeling. All combinations of single (rpoS, appY, yjiD, ycgW, and yhbL), double (yjiD-ycgW) and triple (yjiD-ycgW-yhbL) overexpressions with four gene deletion backgrounds, including single (delta gdhA, or delta aceE), double (delta gdhA delta aceE), and triple (delta gdhA delta aceE delta fdhF) knockouts, were constructed and evaluated for lycopene production. Investigation of the metabolic landscape spanned by these 40 strains identified the best-engineered strain (T5(P)-dxs, T5(P)-idi, rrnB(P)-yjiD-ycgW, delta gdh delta aceE delta fdhF, pACLYC), which accumulated 16,000 ppm (16 mg/g cell) of lycopene within 24 h in a batch shake flask with 5 g/L of glucose in M9 minimal medium.

摘要

鉴定对期望表型表现出不同作用模式的多个基因靶点是菌株改良中的关键步骤。基于可追踪遗传扰动和化学计量模型的靶点鉴定方法之前已被用于挖掘假定的过表达和敲除靶点。大多数搜索方法是顺序式的,因此在可探索的空间方面非常有限。在本研究中,我们研究了一种多维搜索方法,通过采用正交搜索策略来评估不同搜索方法鉴定出的基因靶点的未知相互作用。为此,我们分别通过系统和组合方法鉴定出敲除和过表达基因靶点,以提高大肠杆菌中番茄红素的产量。具体而言,我们首先以顺序迭代方式筛选大肠杆菌基因组文库,鉴定出多个过表达靶点。如此鉴定出的靶点证实了非甲羟戊酸途径中先前扩增的基因(dxs和idi)以及一些调控基因(rpoS和appY)。此外,该方法还揭示了新的基因靶点(yjiD、ycgW、yhbL、purDH和yggT)。随后进行了二维搜索,将选定的过表达靶点与化学计量模型预测的敲除靶点相结合。构建了单基因(rpoS、appY、yjiD、ycgW和yhbL)、双基因(yjiD - ycgW)和三基因(yjiD - ycgW - yhbL)过表达与四种基因缺失背景(包括单基因敲除(delta gdhA或delta aceE)、双基因敲除(delta gdhA delta aceE)和三基因敲除(delta gdhA delta aceE delta fdhF))的所有组合,并评估其番茄红素产量。对这40个菌株所涵盖的代谢景观进行研究,确定了最佳工程菌株(T5(P)-dxs、T5(P)-idi、rrnB(P)-yjiD - ycgW、delta gdh delta aceE delta fdhF、pACLYC),该菌株在含有5 g/L葡萄糖的M9基本培养基的分批摇瓶中,24小时内积累了16,000 ppm(16 mg/g细胞)的番茄红素。

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