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Experimental evolution reveals hidden diversity in evolutionary pathways.

Peter A Lind1, Andrew D Farr1, Paul B Rainey1

  • 1New Zealand Institute for Advanced Study, Massey University, Auckland, New Zealand.

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Parallel evolution in organisms is constrained by genetic pathways. Researchers discovered new mutation routes in Pseudomonas fluorescens, revealing principles of gene activation and aiding evolutionary forecasting.

Keywords:
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Area of Science:

  • Microbiology
  • Evolutionary Biology
  • Genetics

Background:

  • Replicate populations in nature and experiments often exhibit parallel genetic evolution, but the underlying causes remain largely unknown.
  • The 'wrinkly spreader' (WS) morph of Pseudomonas fluorescens repeatedly emerges during experimental evolution, suggesting specific genetic constraints.
  • Previous studies indicated that the mutational causes for WS morphs were confined to only three genetic pathways.

Purpose of the Study:

  • To investigate the underlying causes of parallel genetic evolution in experimental populations.
  • To identify novel mutational pathways leading to the wrinkly spreader morph in Pseudomonas fluorescens.
  • To elucidate the principles governing gene activation during evolutionary processes.

Main Methods:

  • Experimental evolution of Pseudomonas fluorescens populations.
  • Genetic analysis to identify mutations responsible for the wrinkly spreader phenotype.
  • Elimination of known mutational pathways to uncover new ones.
  • Fitness assays to compare newly evolved strains with previously identified ones.

Main Results:

  • Eliminating the three known mutational pathways led to the discovery of 13 new pathways for wrinkly spreader evolution.
  • Newly identified WS strains exhibited fitness levels comparable to those evolved through previously known routes.
  • The study demonstrates that parallel genetic evolution is significantly biased by underlying genetic constraints.

Conclusions:

  • Parallel evolution is strongly influenced by genetic constraints, guiding the emergence of new phenotypes.
  • A hierarchical order of mutational pathways (negative regulation, promoter mutations/fusions, intragenic gain-of-function) governs gene activation during evolution.
  • These findings enhance evolutionary forecasting and provide insights into interpreting genetic variations in human diseases.