• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

大肠杆菌中厌氧生长耦合产物形成的计算机辅助设计:使用简单多元醇甘油进行实验验证

In silico design of anaerobic growth-coupled product formation in Escherichia coli: experimental validation using a simple polyol, glycerol.

作者信息

Balagurunathan Balaji, Jain Vishist Kumar, Tear Crystal Jing Ying, Lim Chan Yuen, Zhao Hua

机构信息

Bioprocess Engineering Center, Institute of Chemical and Engineering Sciences, Agency for Science, Technology and Research (A*STAR), 1 Pesek Road, Jurong Island, 627833, Singapore.

Industrial Biotechnology Division, Institute of Chemical and Engineering Sciences, Agency for Science, Technology and Research (A*STAR), 1 Pesek Road, Jurong Island, 627833, Singapore.

出版信息

Bioprocess Biosyst Eng. 2017 Mar;40(3):361-372. doi: 10.1007/s00449-016-1703-9. Epub 2016 Oct 28.

DOI:10.1007/s00449-016-1703-9
PMID:27796571
Abstract

Integrated approaches using in silico model-based design and advanced genetic tools have enabled efficient production of fuels, chemicals and functional ingredients using microbial cell factories. In this study, using a recently developed genome-scale metabolic model for Escherichia coli iJO1366, a mutant strain has been designed in silico for the anaerobic growth-coupled production of a simple polyol, glycerol. Computational complexity was significantly reduced by systematically reducing the target reactions used for knockout simulations. One promising penta knockout E. coli mutant (E. coli ΔadhE ΔldhA ΔfrdC ΔtpiA ΔmgsA) was selected from simulation study and was constructed experimentally by sequentially deleting five genes. The penta mutant E. coli bearing the Saccharomyces cerevisiae glycerol production pathway was able to grow anaerobically and produce glycerol as the major metabolite with up to 90% of theoretical yield along with stoichiometric quantities of acetate and formate. Using the penta mutant E. coli strain we have demonstrated that the ATP formation from the acetate pathway was essential for growth under anaerobic conditions. The general workflow developed can be easily applied to anaerobic production of other platform chemicals using E. coli as the cell factory.

摘要

采用基于计算机模拟模型设计和先进遗传工具的综合方法,能够利用微生物细胞工厂高效生产燃料、化学品和功能成分。在本研究中,利用最近开发的大肠杆菌iJO1366基因组规模代谢模型,在计算机上设计了一种突变菌株,用于厌氧生长耦合生产一种简单的多元醇——甘油。通过系统减少用于基因敲除模拟的目标反应,显著降低了计算复杂度。从模拟研究中筛选出一个有前景的五基因敲除大肠杆菌突变体(大肠杆菌ΔadhEΔldhAΔfrdCΔtpiAΔmgsA),并通过依次删除五个基因进行实验构建。携带酿酒酵母甘油生产途径的五基因敲除大肠杆菌突变体能够在厌氧条件下生长,并将甘油作为主要代谢产物进行生产,理论产量高达90%,同时还产生化学计量的乙酸盐和甲酸盐。利用五基因敲除大肠杆菌菌株,我们证明了乙酸途径中ATP的形成对于厌氧条件下的生长至关重要。所开发的通用工作流程可以很容易地应用于以大肠杆菌作为细胞工厂厌氧生产其他平台化学品。

相似文献

1
In silico design of anaerobic growth-coupled product formation in Escherichia coli: experimental validation using a simple polyol, glycerol.大肠杆菌中厌氧生长耦合产物形成的计算机辅助设计:使用简单多元醇甘油进行实验验证
Bioprocess Biosyst Eng. 2017 Mar;40(3):361-372. doi: 10.1007/s00449-016-1703-9. Epub 2016 Oct 28.
2
In silico and in vivo stability analysis of a heterologous biosynthetic pathway for 1,4-butanediol production in metabolically engineered E. coli.在代谢工程大肠杆菌中生产 1,4-丁二醇的异源生物合成途径的计算机模拟和体内稳定性分析。
J Biomol Struct Dyn. 2017 Jul;35(9):1874-1889. doi: 10.1080/07391102.2016.1198721. Epub 2016 Aug 5.
3
Deriving metabolic engineering strategies from genome-scale modeling with flux ratio constraints.基于通量比约束的基因组尺度模型推导代谢工程策略。
Biotechnol J. 2013 May;8(5):581-94. doi: 10.1002/biot.201200234. Epub 2013 Apr 11.
4
Escherichia coli genome-scale metabolic gene knockout of lactate dehydrogenase (ldhA), increases succinate production from glycerol.大肠杆菌基因组规模代谢基因敲除乳酸脱氢酶(ldhA)可增加甘油到琥珀酸的产量。
J Biomol Struct Dyn. 2018 Nov;36(14):3680-3686. doi: 10.1080/07391102.2017.1395768. Epub 2017 Nov 6.
5
Utilization of Saccharomyces cerevisiae recombinant strain incapable of both ethanol and glycerol biosynthesis for anaerobic bioproduction.利用既不能合成乙醇又不能合成甘油的酿酒酵母重组菌株进行厌氧生物生产。
Appl Microbiol Biotechnol. 2013 Jun;97(11):4811-9. doi: 10.1007/s00253-013-4760-x. Epub 2013 Feb 26.
6
Evolutionary engineering of a glycerol-3-phosphate dehydrogenase-negative, acetate-reducing Saccharomyces cerevisiae strain enables anaerobic growth at high glucose concentrations.甘油-3-磷酸脱氢酶阴性、能还原乙酸的酿酒酵母菌株的进化工程使其能够在高葡萄糖浓度下进行厌氧生长。
Microb Biotechnol. 2014 Jan;7(1):44-53. doi: 10.1111/1751-7915.12080. Epub 2013 Sep 4.
7
Engineering a synthetic anaerobic respiration for reduction of xylose to xylitol using NADH output of glucose catabolism by Escherichia coli AI21.利用大肠杆菌AI21葡萄糖分解代谢产生的NADH输出构建一种用于将木糖还原为木糖醇的合成厌氧呼吸。
BMC Syst Biol. 2016 Apr 16;10:31. doi: 10.1186/s12918-016-0276-1.
8
Model-assisted formate dehydrogenase-O (fdoH) gene knockout for enhanced succinate production in Escherichia coli from glucose and glycerol carbon sources.通过模型辅助敲除甲酸脱氢酶-O(fdoH)基因以提高大肠杆菌利用葡萄糖和甘油碳源生产琥珀酸的产量
J Biomol Struct Dyn. 2016 Nov;34(11):2305-16. doi: 10.1080/07391102.2015.1113387. Epub 2016 Jan 6.
9
Anaerobic and aerobic batch cultivations of Saccharomyces cerevisiae mutants impaired in glycerol synthesis.对甘油合成受损的酿酒酵母突变体进行厌氧和好氧分批培养。
Yeast. 2000 Mar 30;16(5):463-74. doi: 10.1002/(SICI)1097-0061(20000330)16:5<463::AID-YEA535>3.0.CO;2-3.
10
Integrated strain engineering and bioprocessing strategies for high-level bio-based production of 3-hydroxyvalerate in Escherichia coli.整合应变工程和生物加工策略,以在大肠杆菌中高水平生物合成 3-羟基丁酸酯。
Appl Microbiol Biotechnol. 2020 Jun;104(12):5259-5272. doi: 10.1007/s00253-020-10580-5. Epub 2020 Apr 14.

引用本文的文献

1
Opening a Novel Biosynthetic Pathway to Dihydroxyacetone and Glycerol in Mutants through Expression of a Gene Variant () for Fructose 6-Phosphate Aldolase.通过表达果糖 6-磷酸醛缩酶基因变体()在突变体中打开二羟丙酮和甘油的新生物合成途径。
Int J Mol Sci. 2020 Dec 17;21(24):9625. doi: 10.3390/ijms21249625.
2
Genetic Optimization Algorithm for Metabolic Engineering Revisited.代谢工程的遗传优化算法再探讨
Metabolites. 2018 May 16;8(2):33. doi: 10.3390/metabo8020033.