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Neutral null models for diversity in serial transfer evolution experiments.

Arbel Harpak1, Guy Sella

  • 1Department of Ecology, Evolution and Behavior, Alexander Silberman Institute of Life Sciences, The Hebrew University of Jerusalem, Jerusalem, 91904, Israel. arbelh@stanford.edu.

Evolution; International Journal of Organic Evolution
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Summary
This summary is machine-generated.

Neutral models can now be adapted for microbial evolution experiments, helping to understand genetic diversity and divergence. This research introduces coalescent models for serial transfer experiments, accounting for transient neutral polymorphism and experimental noise.

Keywords:
Coalescent theoryevolution experimentgenetic driftneutral polymorphismserial transfer

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Area of Science:

  • Evolutionary Biology
  • Microbial Evolution
  • Population Genetics

Background:

  • Genome-wide sequencing and evolution experiments offer systematic insights into population genetics.
  • Neutral models are crucial for understanding diversity and divergence in natural populations.
  • The applicability of neutral models to experimental evolution settings is an open question.

Purpose of the Study:

  • To adapt neutral coalescent models for microbial serial transfer evolution experiments.
  • To investigate factors influencing neutral polymorphism and divergence patterns in experimental evolution.
  • To provide a framework for analyzing diversity patterns and inferring population genetic processes.

Main Methods:

  • Development of coalescent models tailored for serial transfer experiments.
  • Analysis of transient neutral polymorphism from a single clone.
  • Incorporation of stochasticity in cell division timing and population size fluctuations during dilutions.

Main Results:

  • Introduced novel coalescent models applicable to common experimental evolution assays.
  • Characterized the transient dynamics of neutral genetic variation in evolving microbial populations.
  • Quantified the impact of experimental noise (division timing, population size) on diversity patterns.

Conclusions:

  • Modified neutral models can effectively describe genetic diversity in experimental evolution.
  • The models account for key experimental factors influencing polymorphism and divergence.
  • This framework aids in interpreting diversity data and understanding population genetic processes in experiments.