Population Genetics Simulation with De 1.0: Evolutionary Forces

Added:

Simulation Intro
Adjustable Factors
Gene Flow & Drift
Usage & Access

Simulation Intro

0:01
Playing Section
  • 1

    Discusses limits of physical genetics simulations like drift and time.

  • 2

    Introduces software for simulating evolution across many generations.

Basic understanding of Mendelian genetics, including the concepts of alleles, genotypes, and phenotypes.
The Hardy-Weinberg Principle and the conditions required for a population to remain in evolutionary equilibrium.
Conceptual definitions of the core evolutionary forces: mutation, natural selection, gene flow, and genetic drift.
Fundamental navigation and data entry skills within spreadsheet software like Microsoft Excel.
Analyzing and graphing simulation data to track how allele frequencies change over generations.
Understanding the concept of genetic fixation and calculating the probability of allele loss due to genetic drift.
Exploring real-world applications in conservation biology, such as managing genetic diversity in small or fragmented endangered populations.
Transitioning to advanced computational tools and programming languages (like R or Python) for large-scale population genetics modeling.
542 views1likes6:21@jaimeedoucette1075Original Release: 2015-08-27

This video introduces DE 1.0, an Excel-based simulation software for studying population genetics, which overcomes limitations of physical classroom simulations by allowing users to manipulate five evolutionary forces (mutation, selection, immigration, genetic drift, and bottleneck effects) across 50 generations to observe how allele frequencies change over time.