Genie

Genie simulates real-time population-genetic processes to illustrate neutral evolution, genetic drift, population isolation, gene flow, and genetic mutation for teaching and exploration of evolutionary dynamics.


Key Features:

  • Interactive simulations: Provides real-time simulations that demonstrate genetic drift, population isolation, gene flow, and genetic mutation within populations.
  • Variable manipulation: Enables manipulation of population-genetic variables to observe outcomes in simulated populations.
  • Educational integration: Has been integrated into instructional settings to support teaching of evolutionary biology and to address misconceptions about non-adaptive evolutionary processes.
  • Assessment and validation: Effectiveness was evaluated using the Genetic Drift Inventory (Price et al., CBE Life Sci Educ 13(1):65-75, 2014) and showed comparable performance to traditional static methods.

Scientific Applications:

  • Instruction in evolutionary biology: Supports classroom and laboratory instruction focused on neutral evolution and genetic drift.
  • Exploration of evolutionary forces: Allows investigation of how population isolation, gene flow, and mutation affect allele frequencies in simulated populations.
  • Educational assessment: Can be used alongside standardized instruments such as the Genetic Drift Inventory to evaluate student understanding of genetic drift.

Methodology:

Real-time, interactive simulations permit manipulation of variables and observation of outcomes within simulated populations.

Topics

Details

License:
Not licensed
Cost:
Free of charge
Tool Type:
web application
Operating Systems:
Mac, Linux, Windows
Programming Languages:
R
Added:
12/31/2022
Last Updated:
11/24/2024

Operations

Data Inputs & Outputs

Allele frequency distribution analysis

Outputs

    Publications

    Castillo AI, Roos BH, Rosenberg MS, Cartwright RA, Wilson MA. Genie: an interactive real-time simulation for teaching genetic drift. Evolution: Education and Outreach. 2022;15(1). doi:10.1186/s12052-022-00161-7. PMID:36237301. PMCID:PMC9555832.

    PMID: 36237301
    PMCID: PMC9555832
    Funding: - National Science Foundation: DBI-1356548 - National Institute of General Medical Sciences: R35GM124827

    Links