Enhancing control of cell-free metabolism through pH modulation

IF 3.2 4区 生物学 Q1 Agricultural and Biological Sciences
Ashty S. Karim, Blake J. Rasor, M. Jewett
{"title":"Enhancing control of cell-free metabolism through pH modulation","authors":"Ashty S. Karim, Blake J. Rasor, M. Jewett","doi":"10.1093/synbio/ysz027","DOIUrl":null,"url":null,"abstract":"Engineering metabolism for the synthesis of bio-based products in non-model organisms can be challenging. One specific challenge is that biosynthetic pathways are often built from enzyme candidates sourced from diverse organisms, which can prove difficult to implement in recombinant hosts due to differences in their cellular environments (e.g. pH, cofactor balance). To address this problem, we report a cell-free synthetic biology approach for understanding metabolism in a range of environmental conditions, specifically under varied pH. The key idea is to control the pH of Escherichia coli-based cell-free systems for assessing pathway performance using enzymes sourced from organisms other than E. coli. As a model, we apply this approach to study the impact of pH on the n-butanol biosynthesis pathway derived from clostridia in E. coli lysates. Specifically, we exploit the open, cell-free reaction environment to explore pH outside the habitable range of E. coli, revealing insights into how chemical context impacts the interaction between native metabolism and heterologous enzymes. We find that the pH optimum for butanol production from acetyl-CoA is substantially lower than the optimal pH of glycolysis in E. coli-based crude lysates. In addition, pH is an essential factor to consider when activating metabolic pathways in the cell-free environment due to its effect on reaction yield or enzyme activity, the latter of which is demonstrated in this work for alcohol dehydrogenases from a range of extremophiles. Ultimately, altering metabolism through pH control will allow cell-free systems to be used in studying the metabolic state of organisms and identify suitable enzymes for pathway engineering.","PeriodicalId":22158,"journal":{"name":"Synthetic Biology","volume":null,"pages":null},"PeriodicalIF":3.2000,"publicationDate":"2019-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"18","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Synthetic Biology","FirstCategoryId":"99","ListUrlMain":"https://doi.org/10.1093/synbio/ysz027","RegionNum":4,"RegionCategory":"生物学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"Agricultural and Biological Sciences","Score":null,"Total":0}
引用次数: 18

Abstract

Engineering metabolism for the synthesis of bio-based products in non-model organisms can be challenging. One specific challenge is that biosynthetic pathways are often built from enzyme candidates sourced from diverse organisms, which can prove difficult to implement in recombinant hosts due to differences in their cellular environments (e.g. pH, cofactor balance). To address this problem, we report a cell-free synthetic biology approach for understanding metabolism in a range of environmental conditions, specifically under varied pH. The key idea is to control the pH of Escherichia coli-based cell-free systems for assessing pathway performance using enzymes sourced from organisms other than E. coli. As a model, we apply this approach to study the impact of pH on the n-butanol biosynthesis pathway derived from clostridia in E. coli lysates. Specifically, we exploit the open, cell-free reaction environment to explore pH outside the habitable range of E. coli, revealing insights into how chemical context impacts the interaction between native metabolism and heterologous enzymes. We find that the pH optimum for butanol production from acetyl-CoA is substantially lower than the optimal pH of glycolysis in E. coli-based crude lysates. In addition, pH is an essential factor to consider when activating metabolic pathways in the cell-free environment due to its effect on reaction yield or enzyme activity, the latter of which is demonstrated in this work for alcohol dehydrogenases from a range of extremophiles. Ultimately, altering metabolism through pH control will allow cell-free systems to be used in studying the metabolic state of organisms and identify suitable enzymes for pathway engineering.
通过pH调节加强对无细胞代谢的控制
在非模式生物中合成生物基产品的工程代谢是具有挑战性的。一个具体的挑战是,生物合成途径通常是由来自不同生物的候选酶构建的,由于它们的细胞环境(例如pH值,辅因子平衡)的差异,这可能难以在重组宿主中实现。为了解决这个问题,我们报道了一种无细胞合成生物学方法,用于了解一系列环境条件下的代谢,特别是在不同的pH下。关键思想是控制基于大肠杆菌的无细胞系统的pH值,以使用来自大肠杆菌以外的生物体的酶来评估途径性能。作为一种模型,我们应用这种方法来研究pH对大肠杆菌裂解物中梭菌衍生的正丁醇生物合成途径的影响。具体来说,我们利用开放的无细胞反应环境来探索大肠杆菌可居住范围之外的pH值,揭示化学环境如何影响天然代谢和外源酶之间的相互作用。我们发现乙酰辅酶a生产丁醇的最佳pH值大大低于大肠杆菌基粗裂解物糖酵解的最佳pH值。此外,在无细胞环境中激活代谢途径时,pH值是一个必须考虑的因素,因为它对反应产率或酶活性有影响,后者在一系列极端微生物的酒精脱氢酶的研究中得到了证明。最终,通过pH控制改变代谢将允许无细胞系统用于研究生物体的代谢状态,并为途径工程确定合适的酶。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Synthetic Biology
Synthetic Biology Agricultural and Biological Sciences-Agricultural and Biological Sciences (miscellaneous)
CiteScore
4.50
自引率
3.10%
发文量
28
审稿时长
25 weeks
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信