Engineering Biology
Volume 3, Issue 2, June 2019
Volumes & issues:
Volume 3, Issue 2
June 2019
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- Author(s): Jennifer S. Hallinan ; Anil Wipat ; Richard Kitney ; Simon Woods ; Ken Taylor ; Angel Goñi-Moreno
- Source: Engineering Biology, Volume 3, Issue 2, p. 25 –31
- DOI: 10.1049/enb.2019.0001
- Type: Article
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p.
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Synthetic biology is a relatively young field, although it builds upon disciplines whose roots go back centuries. Recently, its practitioners have tended to move into the field out of interest or by chance, and come from a wide variety of backgrounds. It is also a very fast-moving field; new protocols, laboratory equipment, computational facilities and algorithms are being developed at a rapid pace. Students who start studying synthetic biology at an undergraduate or postgraduate level will, in the course of their careers, work with technologies as yet undreamt of, and will do so mostly in the context of highly interdisciplinary teams. In this study, the authors identify some of the key areas required for the education of new synthetic biologists to equip them with both adequate background and sufficient flexibility to tackle these challenges and therefore to future-proof synthetic biology.
Future-proofing synthetic biology: educating the next generation
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- Author(s): 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
- Source: Engineering Biology, Volume 3, Issue 2, p. 32 –40
- DOI: 10.1049/enb.2018.5003
- Type: Article
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32
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Clostridium autoethanogenum is an industrial microbe used for thecommercial-scale production of ethanol from carbon monoxide. While significant progress has beenmade 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. autoethanogenumpredicts dramatically increased 2,3-BD production under non-carbon-limited conditions whenthermodynamic constraints on hydrogen production are considered.
Genome-scale model of C. autoethanogenum reveals optimal bioprocessconditions for high-value chemical production from carbon monoxide
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