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Protein evolution depends on multiple distinct population size parameters.

Alexander Platt1, Claudia C Weber1, David A Liberles2

  • 1Department of Biology and Center for Computational Genetics and Genomics, Temple University, Philadelphia, 19121, USA.

BMC Evolutionary Biology
|February 10, 2018
PubMed
Summary
This summary is machine-generated.

Population size significantly impacts the evolution of proteins by influencing mutation rates and natural selection efficiency. Clarifying "population size" and "effective population size" is crucial for accurate models of protein evolution.

Keywords:
Effective population sizeMutation-selection modelsProtein evolution

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Area of Science:

  • Molecular Evolution
  • Population Genetics
  • Bioinformatics

Background:

  • Population size is known to affect mutation rates and the efficacy of natural selection on new mutations.
  • Empirical data suggests demographic factors, not just functional constraints, shape protein evolution.
  • Existing models link population size, fitness, and fixation probability, enabling fitness estimation from substitutions.

Purpose of the Study:

  • To clarify the distinct concepts of population size and effective population size in the context of protein evolution.
  • To define how these population size concepts influence protein evolution processes.
  • To guide the parameterization of more accurate population genetic models for protein evolution.

Main Methods:

  • Review and synthesis of existing literature on population genetics and molecular evolution.
  • Conceptual analysis of different definitions and implications of 'population size' and 'effective population size'.
  • Discussion on parameterizing models to incorporate demographic effects on protein evolution.

Main Results:

  • Multiple, distinct concepts of 'population size' and 'effective population size' exist.
  • These concepts have specific implications for understanding mutation dynamics and selection efficiency in protein evolution.
  • A clear definition and parameterization are essential for leveraging population genetics in protein evolution studies.

Conclusions:

  • Accurate modeling of protein evolution requires a precise understanding of population size concepts.
  • Demographic factors play a significant role alongside functional constraints in shaping protein sequences.
  • This work provides a framework for better-specified models of molecular evolution.