Abstract

Naturally evolved organisms typically have large genomes that enable their survival and growth under various conditions. However, the complexity of genomes often precludes our complete understanding of them, and limits the success of biotechnological designs. In contrast, minimal genomes have reduced complexity and therefore improved engineerability, increased biosynthetic capacity through the removal of unnecessary genetic elements, and less recalcitrance to complete characterisation. Here, we review the past and current genome minimisation and re-functionalisation efforts, with an emphasis on the latest advances facilitated by synthetic genomics, and provide a critical appraisal of their potential for industrial applications.

Naturally evolved genomes tend to be unnecessarily large and redundant, and are not optimised for biotechnological or research applications. In this review, the authors explore genome minimization and re-functionalisation approaches, and discuss their potential for industrial applications.

Details

Title
Trimming the genomic fat: minimising and re-functionalising genomes using synthetic biology
Author
Xu, Xin 1   VIAFID ORCID Logo  ; Meier, Felix 1 ; Blount, Benjamin A. 2   VIAFID ORCID Logo  ; Pretorius, Isak S. 1   VIAFID ORCID Logo  ; Ellis, Tom 3   VIAFID ORCID Logo  ; Paulsen, Ian T. 1   VIAFID ORCID Logo  ; Williams, Thomas C. 1   VIAFID ORCID Logo 

 Macquarie University, ARC Centre of Excellence in Synthetic Biology and School of Natural Sciences, Sydney, Australia (GRID:grid.1004.5) (ISNI:0000 0001 2158 5405) 
 University of Nottingham, School of Life Sciences, Nottingham, UK (GRID:grid.4563.4) (ISNI:0000 0004 1936 8868) 
 Imperial College London, Imperial College Centre for Synthetic Biology, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111); Imperial College London, Department of Bioengineering, London, UK (GRID:grid.7445.2) (ISNI:0000 0001 2113 8111); Wellcome Trust Sanger Institute, Cambridgeshire, UK (GRID:grid.10306.34) (ISNI:0000 0004 0606 5382) 
Pages
1984
Publication year
2023
Publication date
2023
Publisher
Nature Publishing Group
e-ISSN
20411723
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2797988102
Copyright
© The Author(s) 2023. 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.