Population genetics of polyploids, from theory to practice

Workshop held in Mohelno, Czechia 15 - 22.3.2024

Patrick Meirmans, Marc Stift, Filip Kolář, Alison Scott, Joern Gerchen, Sonia Celestini


Course materials


(disclaimer: these materials are for non-commercial use only)

    • Tutorial with questions for Days 1-4

    • Tutorial with answers

    • Program of the week
    • Sample data and used scripts

    Reading



    Introduction to scripting and simulations in R


    Getting to grips with using R to simulate diploid and polyploid populations


    Block A - Introduction to autopolyploid population genetics theory
    Genetic diversity and differentiation, HWE, missing dosage (theory & simulations)


    Block B  - Clustering methods + PCA and potential ploidy biases

    Clustering and multivariate analyses of mixed ploidy populations (simulations & empirical analyses)


    Block C - Evolutionary history reconstruction of mixed-ploidy systems

    Genetic structure, diversity and differentiation of mixed-ploidy species using genome-wide SNP data (empirical analyses)


    Block D - Selection in autopolyploid populations

    Detecting footprints of selection in mixed-ploidy systems using genome-wide SNP data (theory & empirical analyses)


    Previous courses

    Materials from the previous course held in 2022 in Drobak, Norway are here

    Materials from the previous course held in 2018 in Drobak, Norway are here


    Course support & Partners

    We use cookies to enable the proper functioning and security of our website, and to offer you the best possible user experience.

    Advanced settings

    You can customize your cookie preferences here. Enable or disable the following categories and save your selection.

    The essential cookies are essential for the safe and correct operation of our website and the registration process.
    Functional cookies remember your preferences for our website and enable its customization.
    Performance cookies monitor the performance of our website.
    Marketing cookies allow us to measure and analyze the performance of our website.