Engineering Biology (Apr 2019)
Genome-scale model of C. autoethanogenum reveals optimal bioprocess conditions for high-value chemical production from carbon monoxide
- 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,
- Klaus Winzer,
- Nigel P. Minton,
- Charlie Hodgman
Affiliations
- Rupert O.J. Norman
- Synthetic Biology Research Centre, University of Nottingham, University Park
- Thomas Millat
- Synthetic Biology Research Centre, University of Nottingham, University Park
- Sarah Schatschneider
- Synthetic Biology Research Centre, University of Nottingham, University Park
- Anne M. Henstra
- Synthetic Biology Research Centre, University of Nottingham, University Park
- Ronja Breitkopf
- Synthetic Biology Research Centre, University of Nottingham, University Park
- Bart Pander
- Synthetic Biology Research Centre, University of Nottingham, University Park
- Florence J. Annan
- Synthetic Biology Research Centre, University of Nottingham, University Park
- Pawel Piatek
- Synthetic Biology Research Centre, University of Nottingham, University Park
- Hassan B. Hartman
- Oxford Brookes University
- Mark G. Poolman
- Oxford Brookes University
- David A. Fell
- Oxford Brookes University
- Klaus Winzer
- Synthetic Biology Research Centre, University of Nottingham, University Park
- Nigel P. Minton
- Synthetic Biology Research Centre, University of Nottingham, University Park
- Charlie Hodgman
- Synthetic Biology Research Centre, University of Nottingham, University Park
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 (2,3-BD). A new, experimentally parameterised genome-scale model of C. autoethanogenum predicts dramatically increased 2,3-BD production under non-carbon-limited conditions when thermodynamic constraints on hydrogen production are considered.
Keywords
- renewable materials
- genomics
- organic compounds
- microorganisms
- hydrogen production
- fermentation
- biotechnology
- optimal bioprocess conditions
- high-value chemical production
- carbon monoxide
- clostridium autoethanogenum
- industrial microbe
- high-value platform chemicals
- experimentally parameterised genome-scale model
- noncarbon-limited conditions
- hydrogen production
- c. autoethanogenum
- 2,3-butanediol
- 2,3-bd production
- thermodynamic constraints
