Monotonicity of fitness landscapes and mutation rate control
- Submitting institution
-
University of Keele
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 357
- Type
- D - Journal article
- DOI
-
10.1007/s00285-016-0995-3
- Title of journal
- Journal of Mathematical Biology
- Article number
- -
- First page
- 1491
- Volume
- 73
- Issue
- 6-7
- ISSN
- 0303-6812
- Open access status
- Compliant
- Month of publication
- April
- Year of publication
- 2016
- URL
-
https://link.springer.com/article/10.1007/s00285-016-0995-3#Abs1
- Supplementary information
-
-
- 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
- 2
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- The authors of this paper represent a long-term collaboration exploring mutation rate control, including BB/L009579/1 The theory and practice of evolvability: Effects and mechanisms of mutation rate plasticity (2014-2017). The theoretical contribution, based on the geometry of discrete spaces (DNA etc.) and validated through simulated evolution on 115 biological landscapes (of transcription factor binding), is a significant advance on the prevailing Euclidean approach to mutation rate control developed by Fisher in 1930. This underpinned a successful BBSRC collaborative project (Keele: BB/M021157/1), Adaptive landscapes of antibiotic resistance (2015-18), and led to further insights into mutation rate plasticity (e.g. https://doi.org/cb9s, PLOS Biology)
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -