Suppr超能文献

用于[具体生物或体系]中类异戊二烯合成的异戊烯醇利用途径的优化

Optimization of the Isopentenol Utilization Pathway for Isoprenoid Synthesis in .

作者信息

Ma Xiaoqiang, Liang Hong, Pan Qiuchi, Prather Kristala L J, Sinskey Anthony J, Stephanopoulos Gregory, Zhou Kang

机构信息

Disruptive & Sustainable Technologies for Agricultural Precision (DiSTAP), Singapore-MIT Alliance for Research and Technology, Singapore 138602, Singapore.

Department of Chemical and Biomolecular Engineering, National University of Singapore, Singapore 117585, Singapore.

出版信息

J Agric Food Chem. 2022 Mar 23;70(11):3512-3520. doi: 10.1021/acs.jafc.2c00014. Epub 2022 Mar 14.

Abstract

Engineering microbes to produce isoprenoids can be limited by the competition between product formation and cell growth because biomass and isoprenoids are naturally derived from central metabolism. Recently, a two-step synthetic pathway was developed to partially decouple isoprenoid formation from central carbon metabolism. The pathway used exogenously added isopentenols as substrates. In the present study, we systematically optimized this isopentenol utilization pathway in by comparing enzyme variants from different species, tuning enzyme expression levels, and using a two-stage process. Under the optimal conditions found in this study, ∼300 mg/L lycopene was synthesized from 2 g/L isopentenol in 24 h. The strain could be easily modified to synthesize two other isoprenoid molecules efficiently (248 mg/L β-carotene or 364 mg/L R-(-)-linalool produced from 2 g/L isopentenol). This study lays a solid foundation for producing agri-food isoprenoids at high titer/productivity from cost-effective feedstocks.

摘要

工程改造微生物以生产类异戊二烯可能会受到产物形成与细胞生长之间竞争的限制,因为生物质和类异戊二烯天然来源于中心代谢。最近,开发了一种两步合成途径,以使类异戊二烯的形成与中心碳代谢部分解耦。该途径使用外源添加的异戊烯醇作为底物。在本研究中,我们通过比较来自不同物种的酶变体、调节酶表达水平以及采用两阶段过程,系统地优化了该异戊烯醇利用途径。在本研究发现的最佳条件下,24小时内从2 g/L异戊烯醇合成了约300 mg/L番茄红素。该菌株可以很容易地进行改造,以高效合成另外两种类异戊二烯分子(从2 g/L异戊烯醇中产生248 mg/Lβ-胡萝卜素或364 mg/L R-(-)-芳樟醇)。本研究为从具有成本效益的原料中高产量/高生产率生产农业食品类异戊二烯奠定了坚实基础。

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验