Mutational hotspots lead to robust but suboptimal adaptive outcomes in certain environments
Abstract
The observed mutational spectrum of adaptive outcomes can be constrained by many factors. For example, mutational biases can narrow the observed spectrum by increasing the rate of mutation at isolated sites in the genome. In contrast, complex environments can shift the observed spectrum by defining fitness consequences of mutational routes. We investigate the impact of different nutrient environments on the evolution of motility in the bacteria Pseudomonas fluorescens Pf0-2x (an engineered non-motile derivative of Pf0-1) in the presence and absence of a strong mutational hotspot. Previous work has shown that this mutational hotspot can be built and broken via six silent mutations, which provide rapid access to a mutation that rescues swimming motility and confers the strongest swimming phenotype in specific environments. Here, we evolved a hotspot and non-hotspot variant strain of Pf0-2x for motility under nutrient rich (LB) and nutrient limiting (M9) environmental conditions. We observed the hotspot strain consistently evolved faster across all environmental conditions and its mutational spectrum was robust to environmental differences. However, the non-hotspot strain had a distinct mutational spectrum that changed depending on the nutrient environment. Interestingly, while alternative adaptive mutations in nutrient-rich environments were equal to, or less effective than, the hotspot mutation, the majority of these mutations in nutrient-limited conditions produced superior swimmers. Our competition experiments mirrored these findings, underscoring the role of environment in defining both the mutational spectrum and the associated phenotype strength. This indicates that while mutational hotspots working in concert with natural selection can speed up access to robust adaptive mutations (which can provide a competitive advantage in evolving populations) they can limit exploration of the mutational landscape, restricting access to potentially stronger phenotypes in specific environments. DATA SUMMARYAll data is available at OSF: DOI 10.17605/OSF.IO/8BT2W, and in supplementary materials.
02 /Specification & Classification
Click any tag to browse matching papers- Organism
- Approach
Reproducibility ledger
Nobody has reported trying to reproduce this paper yet. Did you replicate an experiment or run the code? Your report saves the next lab a week.
Sign in to file a reproducibility report.
Related papers
- A mutational hotspot that determines highly repeatable evolution can be built and broken by silent genetic changes
J. S. Horton, L. M. Flanagan, … T. B. Taylor·bioRxiv·Jan 4, 2021
- Far From Home: Evolution of haploid and diploid populations reveals common, strong, and variable pleiotropic effects in non-home environments
V. K. Chen, M. S. Johnson, … G. J. Sherlock·bioRxiv·Feb 28, 2023
- Environment-dependent epistasis shapes adaptation to fluctuating resources.
Ashlynn G Bruder, Nathan Fiedeldey, … Megan G. Behringer·bioRxiv·Aug 4, 2026
- Diverse phenotypic and genetic responses to short-term selection in evolving Escherichia coli populations
Marcus M Dillon, Nicholas P Rouillard, … Vaughn S Cooper·EvolutionPeer-reviewed·Feb 12, 2016
- Rapid evolution can select for fitness tradeoffs in fluctuating environments
John McEnany, Benjamin H. Good·bioRxiv·Sep 4, 2026
- Context-Dependent Adaptation in Structured Environments
Yuya Karita, Gisela T. Tatianna Rodriguez-Sanchez, … Paul B. Rainey·Proceedings of the Royal Society B Biological SciencesPeer-reviewed·Feb 4, 2026