Preprint icon

Preprint

Investigating the potential of division of labour in synthetic bacterial communities for the production of violacein

Abstract:
With advancements in synthetic biology and metabolic engineering, microorganisms can now be engineered to perform increasingly complex functions, which may be limited by the resources available in individual cells. Division of labour in synthetic microbial communities offers a promising approach to enhance metabolic efficiency and resilience in bioproduction. By distributing complex metabolic pathways across multiple subpopulations, the resource competition and metabolic burden imposed on an individual cell is reduced, potentially enabling more efficient production of target compounds. Violacein is a high-value pigment with anti-tumour properties that exemplifies such a challenge due to its complex bioproduction pathway, imposing a significant metabolic burden on host cells. In this study we investigated the benefits of division of labour for violacein production by splitting the violacein bioproduction pathway between two subpopulations of Escherichia coli based synthetic communities. We tested several pathway splitting strategies and reported that splitting the pathway into two subpopulations expressing VioABE and VioDC at a final composition of 60:40 yields a 2.5 fold increase in violacein production as compared to a monoculture. We demonstrated that the coculture outperforms the monoculture when both subpopulations exhibit similar metabolic burden levels, resulting in comparable growth rates, and when both subpopulations are present in sufficiently high proportions.
Publication status:
Published
Peer review status:
Not peer reviewed

Actions

Access Document

Preprint server copy:
10.1101/2025.01.07.631562

Authors

More by this author
Institution:
University of Oxford
Division:
MPLS
Department:
Engineering Science
Role:
Author
ORCID:
0000-0003-2223-5989


More from this funder
Funder identifier:
https://ror.org/00k4n6c32
Funding agency for:
Ledesma-Amaro, R
Grant:
101098826
More from this funder
Funder identifier:
https://ror.org/0472cxd90
Funding agency for:
Ledesma-Amaro, R
Grant:
949080
More from this funder
Funder identifier:
https://ror.org/0439y7842
Funding agency for:
Ledesma-Amaro, R
Grant:
EP/Y014073/1
More from this funder
Funder identifier:
https://ror.org/00cwqg982
Funding agency for:
Jimenez, J
Ledesma-Amaro, R
Grant:
BB/T011289/2
BB/R01602X/1
BB/T013176/1
BB/T011408/1
BB/Y008510/1
BB/X01911X/1
More from this funder
Funder identifier:
https://ror.org/0526snb40
Funding agency for:
Stan, G-B
Programme:
RAE Chair in Emerging Technologies RAEng CiET 1819/5


Preprint server:
bioRxiv
Publication date:
2025-01-10
DOI:


Language:
English
Pubs id:
2354148
UUID:
uuid_69b0af7a-6e20-448c-bbee-a8e3e471d863
Local pid:
pubs:2354148
Source identifiers:
W4406258131
Deposit date:
2025-12-23
ARK identifier:

Terms of use


Views and Downloads






If you are the owner of this record, you can report an update to it here: Report update to this record

TO TOP