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Following the Dynamics of Structural Variants in Experimentally Evolved Populations
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Forward-in-Time, Spatially Explicit Modeling Software to Simulate Genetic Lineages Under Selection.

Mathias Currat1, Pascale Gerbault2, Da Di1

  • 1Laboratory of Anthropology, Genetics and Peopling History, Department of Genetics and Evolution - Anthropology Unit, University of Geneva, Geneva, Switzerland.

Evolutionary Bioinformatics Online
|March 8, 2016
PubMed
Summary
This summary is machine-generated.

SELECTOR software simulates gene evolution under selection, integrating complex factors like population growth and migration. It helps understand genetic differentiation and human evolutionary history.

Keywords:
HLAMHC lineagesbalancing selectionpopulation geneticsspatially explicit simulation

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Area of Science:

  • Evolutionary genetics
  • Population genetics
  • Bioinformatics

Background:

  • Investigating the evolution of multiallelic genes requires sophisticated simulation tools.
  • Understanding the impact of selection (balancing or positive) alongside demographic factors is crucial.

Purpose of the Study:

  • To introduce and validate SELECTOR, a software package for simulating complex evolutionary scenarios.
  • To explore genetic differentiation under balancing selection in spatially explicit populations.

Main Methods:

  • SELECTOR simulates multiallelic gene evolution with spatial and temporal parameter variations.
  • Algorithms are validated against theoretical expectations for simple models.
  • The software integrates demographic growth, migration, and environmental heterogeneity.

Main Results:

  • Balancing selection can reduce genetic differentiation between populations compared to neutral evolution.
  • SELECTOR explains conflicting outcomes observed for human leukocyte antigen (HLA) loci.
  • The software is efficient and robust for studying human settlement history.

Conclusions:

  • SELECTOR is a valuable tool for studying gene evolution under various selection pressures and demographic scenarios.
  • It provides insights into population structure and evolutionary processes.
  • The software aids in understanding human evolutionary history and adaptation.