Engineering microbialm phenotypes through rewiring of genetic networks
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Published version
Author(s)
Windram, OPF
Rodrigues, RTL
Lee, S
Bayer, TS
Type
Journal Article
Abstract
The ability to program cellular behaviour is a major goal of synthetic biology, with applications in health, agriculture and chemicals production. Despite efforts to build ‘orthogonal’ systems, interactions between engineered genetic circuits and the endogenous regulatory network of a host cell can have a significant impact on desired functionality. We have developed a strategy to rewire the endogenous cellular regulatory network of yeast to enhance compatibility with synthetic protein and metabolite production. We found that introducing novel connections in the cellular regulatory network enabled us to increase the production of heterologous proteins and metabolites. This strategy is demonstrated in yeast strains that show significantly enhanced heterologous protein expression and higher titers of terpenoid production. Specifically, we found that the addition of transcriptional regulation between free radical induced signalling and nitrogen regulation provided robust improvement of protein production. Assessment of rewired networks revealed the importance of key topological features such as high betweenness centrality. The generation of rewired transcriptional networks, selection for specific phenotypes, and analysis of resulting library members is a powerful tool for engineering cellular behavior and may enable improved integration of heterologous protein and metabolite pathways.
Date Issued
2017-03-21
Date Acceptance
2017-03-13
Citation
Nucleic Acids Research, 2017, 45 (8), pp.4984-4993
ISSN
1362-4962
Publisher
Oxford University Press (OUP)
Start Page
4984
End Page
4993
Journal / Book Title
Nucleic Acids Research
Volume
45
Issue
8
Copyright Statement
© The Author(s) 2017. Published by Oxford University Press on behalf of Nucleic Acids Research. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted reuse, distribution, and reproduction in any medium, provided the original work is properly cited.
Subjects
Developmental Biology
05 Environmental Sciences
06 Biological Sciences
08 Information And Computing Sciences
Publication Status
Published