The lag-phase during diauxic growth is a trade-off between fast adaptation and high growth rate
- Submitting institution
-
The University of Kent
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 9699
- Type
- D - Journal article
- DOI
-
10.1038/srep25191
- Title of journal
- Scientific Reports
- Article number
- 25191
- First page
- -
- Volume
- 6
- Issue
- 1
- ISSN
- 2045-2322
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2016
- URL
-
https://kar.kent.ac.uk/55454/
- Supplementary information
-
-
- Request cross-referral to
- 5 - Biological Sciences
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
1
- Research group(s)
-
-
- Citation count
- 20
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This paper contributes a novel multi-level evolutionary algorithm whereby the properties of the evolving units are emergent from a lower-level chemical simulation system. This is significant because it is the first work to simulate the evolution of entire bacterial populations in a stochastic model. It unifies a large number of experimental results that had previously appeared unconnected, thus providing both credible and novel explanations for the evolution of diauxic growth.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
