Skip to main content

Research Repository

Advanced Search

Genome-scale model of C. autoethanogenum reveals optimal bioprocess conditions for high-value chemical production from carbon monoxide

Norman, Rupert O.J.; Millat, Thomas; Schatschneider, Sarah; Henstra, Anne M.; Breitkopf, Ronja; Pander, Bart; Annan, Florence J.; Piatek, Pawel; Hartman, Hassan B.; Poolman, Mark G.; Fell, David A.; Winzer, Klaus; Minton, Nigel P.; Hodgman, Charlie

Authors

Rupert O.J. Norman

Thomas Millat

Sarah Schatschneider

Anne M. Henstra

Ronja Breitkopf

Bart Pander

Florence J. Annan

Pawel Piatek

Hassan B. Hartman

Mark G. Poolman

David A. Fell

Charlie Hodgman



Abstract

Clostridium autoethanogenum is an industrial microbe used for the commercial-scale production of ethanol from carbon monoxide. While significant progress has been made in the attempted diversification of this bioprocess, further improvements are desirable, particularly in the formation of the high-value platform chemicals, such as 2,3-butanediol. A new, experimentally parameterised genome scale model of C. autoethanogenum predicts dramatically increased 2,3-butanediol production under non-carbon-limited conditions when thermodynamic constraints on hydrogen production are considered.

Citation

Norman, R. O., Millat, T., Schatschneider, S., Henstra, A. M., Breitkopf, R., Pander, B., …Hodgman, C. (2019). Genome-scale model of C. autoethanogenum reveals optimal bioprocess conditions for high-value chemical production from carbon monoxide. Engineering Biology, 3(2), 32-40. https://doi.org/10.1049/enb.2018.5003

Journal Article Type Article
Acceptance Date Mar 20, 2019
Online Publication Date Apr 17, 2019
Publication Date Jun 30, 2019
Deposit Date Apr 11, 2019
Publicly Available Date Jun 24, 2019
Journal Engineering Biology
Electronic ISSN 2398-6182
Publisher Institution of Engineering and Technology
Peer Reviewed Peer Reviewed
Volume 3
Issue 2
Pages 32-40
DOI https://doi.org/10.1049/enb.2018.5003
Public URL https://nottingham-repository.worktribe.com/output/1778211
Publisher URL https://digital-library.theiet.org/content/journals/10.1049/enb.2018.5003

Files




You might also like



Downloadable Citations