Raw data for "Transient mutation bias facilitates rapid and predictable adaptation toward optimal peaks on an empirical genotype-phenotype landscape"

This dataset supports the paper "Transient mutation bias facilitates rapid and predictable adaptation toward optimal peaks on an empirical genotype-phenotype landscape". It contains the raw data for this study, primarily measurements of the motility of motile mutants evolved from ancestrally non-motile variants of the microbe Pseudomonas fluorescens SBW25.

Keywords:

Mutation bias Mutational hotspot Genotype-phenotype landscape Experimental evolution Historical contingency Epistasis

Subjects:

Microbial sciences

Microbiology

Omic sciences and technologies

Genomics

Cite this dataset as:
Horton, J., 2022. Raw data for "Transient mutation bias facilitates rapid and predictable adaptation toward optimal peaks on an empirical genotype-phenotype landscape". Open Science Framework (OSF). Available from: https://osf.io/mg879/.

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Creators

James Horton
University of Bath

Contributors

University of Bath
Rights Holder

Documentation

Data collection method:

For full details of the methodology used, see the Methods section of the associated paper.

Methodology link:

Horton, J. S., Ali, S. U. P., and Taylor, T. B., 2023. Transient mutation bias increases the predictability of evolution on an empirical genotype–phenotype landscape. Philosophical Transactions of the Royal Society B, 378(1877). Available from: https://doi.org/10.1098/rstb.2022.0043.

Funders

Biotechnology and Biological Sciences Research Council (BBSRC)
https://doi.org/10.13039/501100000268

Predicting evolution: using comparative experimental evolution to test the role of mutation, selection and genetic background on repeatable evolution
BB/T012994/1

Royal Society
https://doi.org/10.13039/501100000288

Fellowship for Tiffany Brook Taylor - Role of Genetic and Environmental Drivers in Novel Gene Regulation
DH150169

Publication details

Publication date: 8 September 2022
by: Open Science Framework (OSF)

Version: 1

Official landing page URL: https://osf.io/mg879/

URL for this record: https://researchdata.bath.ac.uk/1277

Related datasets and code

Horton, J. S., Ali, S. U., and Taylor, T. B., 2023. Supplementary material from "Transient mutation bias increases the predictability of evolution on an empirical genotype-phenotype landscape". The Royal Society. Available from: https://doi.org/10.6084/M9.FIGSHARE.C.6432520.V1.

Contact information

Please contact the Research Data Service in the first instance for all matters concerning this item.

Departments:

Life Sciences
Biology & Biochemistry

Research Centres & Institutes
Milner Centre for Evolution