Abstract

Synthetic biology tools, such as modular parts and combinatorial DNA assembly, are routinely used to optimise the productivity of heterologous metabolic pathways for biosynthesis or substrate utilisation, yet it is well established that host strain background is just as important for determining productivity. Here we report that in vivo combinatorial genomic rearrangement of Saccharomyces cerevisiae yeast with a synthetic chromosome V can rapidly generate new, improved host strains with genetic backgrounds favourable to diverse heterologous pathways, including those for violacein and penicillin biosynthesis and for xylose utilisation. We show how the modular rearrangement of synthetic chromosomes by SCRaMbLE can be easily determined using long-read nanopore sequencing and we explore experimental conditions that optimise diversification and screening. This synthetic genome approach to metabolic engineering provides productivity improvements in a fast, simple and accessible way, making it a valuable addition to existing strain improvement techniques.

Details

Title
Rapid host strain improvement by in vivo rearrangement of a synthetic yeast chromosome
Author
Blount, B A 1   VIAFID ORCID Logo  ; Gowers, G-O F 1 ; Ho, J C H 2   VIAFID ORCID Logo  ; Ledesma-Amaro, R 1 ; Jovicevic, D 1 ; McKiernan, R M 2 ; Xie, Z X 3 ; Li, B Z 3 ; Yuan, Y J 3   VIAFID ORCID Logo  ; Ellis, T 1   VIAFID ORCID Logo 

 Imperial College Centre for Synthetic Biology, Imperial College London, London, UK; Department of Bioengineering, Imperial College London, London, UK 
 Imperial College Centre for Synthetic Biology, Imperial College London, London, UK; Department of Life Sciences, Imperial College London, London, UK 
 Key Laboratory of Systems Bioengineering (Ministry of Education), School of Chemical Engineering and Technology, Tianjin University, Tianjin, PR China; SynBio Research Platform, Collaborative Innovation Center of Chemical Science and Engineering (Tianjin), Tianjin University, Tianjin, PR China 
Pages
1-10
Publication year
2018
Publication date
May 2018
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2042727834
Copyright
© 2018. This work is published under http://creativecommons.org/licenses/by/4.0/ (the “License”). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.