Cell morphology drives spatial patterning in microbial communities
- Submitting institution
-
University of Oxford
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 12096
- Type
- D - Journal article
- DOI
-
-
- Title of journal
- Proceedings of the National Academy of Sciences
- Article number
- -
- First page
- E280
- Volume
- 114
- Issue
- 3
- ISSN
- 1091-6490
- Open access status
- Compliant
- Month of publication
- December
- Year of publication
- 2016
- URL
-
-
- Supplementary information
-
https://www.pnas.org/content/suppl/2016/12/30/1613007114.DCSupplemental
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
5
- Research group(s)
-
-
- Citation count
- 53
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This PNAS paper presents a new, experimentally validated computer model to investigate how bacterial shape affects evolutionary fitness within microbial communities. Our model predicted strong effects. Although initially shape alone could not be used to parameterise experiments, the development of a new series of Escherichia Coli genetic variants allowed us to confirm the results of our simulations in a series of in vitro experiments. The refinement of such models is a major challenge in biophysical research, and the significance of our results has been acknowledged in subsequent literature, e.g. Nature Physics 2019 (https://doi.org/10.1038/s41567-018-0356-9), Nature Reviews Microbiology 2019 (https://doi.org/10.1038/s41579-019-0195-4).
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -