4.8 Article

A mutational hotspot that determines highly repeatable evolution can be built and broken by silent genetic changes

Journal

NATURE COMMUNICATIONS
Volume 12, Issue 1, Pages -

Publisher

NATURE PORTFOLIO
DOI: 10.1038/s41467-021-26286-9

Keywords

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Funding

  1. University of Bath University Research Studentship Account (URSA)
  2. Royal Society Dorothy Hodgkin Research Fellowship [DH150169]
  3. JABBS Foundation

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Mutational hotspots can determine evolutionary outcomes and make evolution repeatable. Experiments in bacteria reveal that a powerfully deterministic genetic hotspot can be built and broken by a handful of silent mutations, highlighting an underappreciated role for silent genetic variation in determining adaptive outcomes.
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. Mutational hotspots can determine evolutionary outcomes and make evolution repeatable. Experiments in bacteria reveal that a powerfully deterministic genetic hotspot can be built and broken by a handful of silent mutations, highlighting an underappreciated role for silent genetic variation in determining adaptive outcomes.

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