Metabolic division of labor in microbial systems

被引:204
作者
Tsoi, Ryan [1 ]
Wu, Feilun [1 ]
Zhang, Carolyn [1 ]
Bewick, Sharon [2 ]
Karig, David [3 ]
You, Lingchong [1 ,4 ,5 ]
机构
[1] Duke Univ, Dept Biomed Engn, Durham, NC 27708 USA
[2] Univ Maryland, Dept Biol, College Pk, MD 20742 USA
[3] Johns Hopkins Univ, Appl Phys Lab, Res & Exploratory Dev Dept, Laurel, MD 20723 USA
[4] Duke Univ, Ctr Genom & Computat Biol, Durham, NC 27708 USA
[5] Duke Univ, Sch Med, Dept Mol Genet & Microbiol, Durham, NC 27708 USA
基金
美国国家科学基金会; 美国国家卫生研究院;
关键词
division of labor; metabolic engineering; systems biology; microbial communities; mathematical modeling; ESCHERICHIA-COLI; COMPLETE NITRIFICATION; CELLULOSE UTILIZATION; SYNTHETIC BIOLOGY; EXPRESSION-LEVEL; GEN-NOV; PATHWAY; OPTIMIZATION; CONSORTIA; BURDEN;
D O I
10.1073/pnas.1716888115
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Metabolic pathways are often engineered in single microbial populations. However, the introduction of heterologous circuits into the host can create a substantial metabolic burden that limits the overall productivity of the system. This limitation could be overcome by metabolic division of labor (DOL), whereby distinct populations perform different steps in a metabolic pathway, reducing the burden each population will experience. While conceptually appealing, the conditions when DOL is advantageous have not been rigorously established. Here, we have analyzed 24 common architectures of metabolic pathways in which DOL can be implemented. Our analysis reveals general criteria defining the conditions that favor DOL, accounting for the burden or benefit of the pathway activity on the host populations as well as the transport and turnover of enzymes and intermediate metabolites. These criteria can help guide engineering of metabolic pathways and have implications for understanding evolution of natural microbial communities.
引用
收藏
页码:2526 / 2531
页数:6
相关论文
共 72 条
[1]   Isoprenoid Pathway Optimization for Taxol Precursor Overproduction in Escherichia coli [J].
Ajikumar, Parayil Kumaran ;
Xiao, Wen-Hai ;
Tyo, Keith E. J. ;
Wang, Yong ;
Simeon, Fritz ;
Leonard, Effendi ;
Mucha, Oliver ;
Phon, Too Heng ;
Pfeifer, Blaine ;
Stephanopoulos, Gregory .
SCIENCE, 2010, 330 (6000) :70-74
[2]   Citric Acid Cycle and Role of its Intermediates in Metabolism [J].
Akram, Muhammad .
CELL BIOCHEMISTRY AND BIOPHYSICS, 2014, 68 (03) :475-478
[3]   Fast, cheap and somewhat in control [J].
Arkin, Adam P. ;
Fletcher, Daniel A. .
GENOME BIOLOGY, 2006, 7 (08)
[4]   Non-fermentative pathways for synthesis of branched-chain higher alcohols as biofuels [J].
Atsumi, Shota ;
Hanai, Taizo ;
Liao, James C. .
NATURE, 2008, 451 (7174) :86-U13
[5]   Compartmentalization of metabolic pathways in yeast mitochondria improves the production of branched-chain alcohols [J].
Avalos, Jose L. ;
Fink, Gerald R. ;
Stephanopoulos, Gregory .
NATURE BIOTECHNOLOGY, 2013, 31 (04) :335-+
[6]   Engineering of synthetic intercellular communication systems [J].
Bacchus, William ;
Fussenegger, Martin .
METABOLIC ENGINEERING, 2013, 16 :33-41
[7]  
BAK F, 1992, ARCH MICROBIOL, V157, P529
[8]   Exometabolite niche partitioning among sympatric soil bacteria [J].
Baran, Richard ;
Brodie, Eoin L. ;
Mayberry-Lewis, Jazmine ;
Hummel, Eric ;
Da Rocha, Ulisses Nunes ;
Chakraborty, Romy ;
Bowen, Benjamin P. ;
Karaoz, Ulas ;
Cadillo-Quiroz, Hinsby ;
Garcia-Pichel, Ferran ;
Northen, Trent R. .
NATURE COMMUNICATIONS, 2015, 6
[9]   Application of metabolic engineering to improve both the production and use of biotech indigo [J].
Berry, A ;
Dodge, TC ;
Pepsin, M ;
Weyler, W .
JOURNAL OF INDUSTRIAL MICROBIOLOGY & BIOTECHNOLOGY, 2002, 28 (03) :127-133
[10]  
Bock E, 2006, PROKARYOTES: A HANDBOOK ON THE BIOLOGY OF BACTERIA, VOL 2, THIRD EDITION, P457, DOI 10.1007/0-387-30742-7_16