Abstract
Mutational hotspots can determine evolutionary outcomes and make evolution repeatable. Hotspots are products of multiple evolutionary forces including mutation rate heterogeneity, but this variable is often hard to identify. In this work, we reveal that a near-deterministic genetic hotspot can be built and broken by a handful of silent mutations. We observe this when studying homologous immotile variants of the bacteria Pseudomonas fluorescens, AR2 and Pf0-2x. AR2 resurrects motility through highly repeatable de novo mutation of the same nucleotide in >95% lines in minimal media (ntrB A289C). Pf0-2x, however, evolves via a number of mutations meaning the two strains diverge significantly during adaptation. We determine that this evolutionary disparity is owed to just 6 synonymous variations within the ntrB locus, which we demonstrate by swapping the sites and observing that we are able to both break (>95% to 0%) and build (0% to 80%) a deterministic mutational hotspot. Our work reveals a key role for silent genetic variation in determining adaptive outcomes.
Original language | English |
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Article number | 6092 |
Number of pages | 10 |
Journal | Nature Communications |
Volume | 12 |
Issue number | 1 |
DOIs | |
Publication status | Published - 19 Oct 2021 |
Bibliographical note
Funding Information:We thank Laurence Hurst for comments on earlier versions of this manuscript. In addition, we thank member of the Taylor lab Matthew Shepherd for insightful comments and discussion, and Mark Silby for contributing the ancestral P. fluorescens Pf0-2x strain used in the study. This work was supported by the University of Bath University Research Studentship Account (URSA) awarded to TBT and NKP; a Royal Society Dorothy Hodgkin Research Fellowship awarded to TBT (DH150169); and the JABBS Foundation for RWJ. Bioinformatics analysis of the paper was carried out using the Medical Research Council’s (MRC) Cloud Infrastructure for Microbial Bioinformatics (CLIMB), and Illumina Whole-Genome Sequencing by the Milner Genomics Centre, Bath, UK and MicrobesNG, Birmingham, UK.
Data availability
Data used for the generation of this manuscript is publicly available and can be accessed
[https://doi.org/10.17605/OSF.IO/VUYWP]68. Source data for Figs. 1, 2, 3, 4, 5, and
supplementary figs. 1 and 3 are provided with the paper. Partial sequences in the form of
individual loci with mutations can be found on the data repository, and a wiki page that
details the filetypes and nomenclature of these partial sequences can be found on the
repository homepage. Publicly accessible Pseudomonas sequences were accessed via the
Pseudomonas Genome Database (https://www.pseudomonas.com/) and the SBW25
genome assembly was accessed via NCBI (NCBI Assembly: ASM922v1, GenBank
sequence: AM181176.4). Whole genomes have been deposited onto GenBank with
accession codes: JAIOKC000000000, JAIOKD000000000, JAIOKE000000000,
JAIOKF000000000, JAIOKG000000000, JAIOKH000000000, JAIOKN000000000,
JAIOKO000000000, JAIOKW000000000. Source data are provided with this paper.
Keywords
- Experimental evolution
- Mutation bias
- Molecular microbiology
- Predicting evolution
- Pseudomonas fluorescens
ASJC Scopus subject areas
- General Chemistry
- General Biochemistry,Genetics and Molecular Biology
- General Physics and Astronomy