Underground metabolism as a rich reservoir for pathway engineering

Author:

Kovács Szabolcs Cselgő12,Szappanos Balázs123,Tengölics Roland12,Notebaart Richard A4ORCID,Papp Balázs12

Affiliation:

1. HCEMM-BRC Metabolic Systems Biology Lab , Szeged, Hungary

2. Biological Research Centre, Institute of Biochemistry, Synthetic and Systems Biology Unit, Eötvös Loránd Research Network (ELKH) , Szeged, Hungary

3. Department of Biotechnology, University of Szeged , Szeged, Hungary

4. Food Microbiology, Wageningen University & Research , 6700 HB Wageningen, The Netherlands

Abstract

Abstract Motivation Bioproduction of value-added compounds is frequently achieved by utilizing enzymes from other species. However, expression of such heterologous enzymes can be detrimental due to unexpected interactions within the host cell. Recently, an alternative strategy emerged, which relies on recruiting side activities of host enzymes to establish new biosynthetic pathways. Although such low-level ‘underground’ enzyme activities are prevalent, it remains poorly explored whether they may serve as an important reservoir for pathway engineering. Results Here, we use genome-scale modeling to estimate the theoretical potential of underground reactions for engineering novel biosynthetic pathways in Escherichia coli. We found that biochemical reactions contributed by underground enzyme activities often enhance the in silico production of compounds with industrial importance, including several cases where underground activities are indispensable for production. Most of these new capabilities can be achieved by the addition of one or two underground reactions to the native network, suggesting that only a few side activities need to be enhanced during implementation. Remarkably, we find that the contribution of underground reactions to the production of value-added compounds is comparable to that of heterologous reactions, underscoring their biotechnological potential. Taken together, our genome-wide study demonstrates that exploiting underground enzyme activities could be a promising addition to the toolbox of industrial strain development. Availability and implementation The data and scripts underlying this article are available on GitHub at https://github.com/pappb/Kovacs-et-al-Underground-metabolism. Supplementary information Supplementary data are available at Bioinformatics online.

Funder

National Research, Development and Innovation Office [Élvonal Program

Lendület” program of the Hungarian Academy of Sciences

The European Union’s Horizon 2020 Research and Innovation Program

National Laboratory of Biotechnology Grant

The Hungarian Academy of Sciences Premium Postdoctoral Research Program

Janos Bolyai Research Fellowship from the Hungarian Academy of Sciences

New National Excellence Program of the Ministry of Human Capacities

National Research, Development and Innovation Office [PD

Publisher

Oxford University Press (OUP)

Subject

Computational Mathematics,Computational Theory and Mathematics,Computer Science Applications,Molecular Biology,Biochemistry,Statistics and Probability

Reference69 articles.

1. The ‘evolvability’ of promiscuous protein functions;Aharoni;Nat. Genet,2005

2. Towards creating an extended metabolic model (EMM) for E. coli using enzyme promiscuity prediction and metabolomics data;Amin;Microb. Cell Factories,2019

3. Improvement of biomass yield and recombinant gene expression in Escherichia coli by using fructose as the primary carbon source;Aristidou;Biotechnol. Prog,1999

4. An economic and ecological perspective of ethanol production from renewable agro waste: a review;Bhatia;AMB Express,2012

5. Cloning, sequencing, and expression of clustered genes encoding beta-hydroxybutyryl-coenzyme A (CoA) dehydrogenase, crotonase, and butyryl-CoA dehydrogenase from Clostridium acetobutylicum ATCC 824;Boynton;J. Bacteriol,1996

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3