Population genetics of polyploids, from theory to practice


Materials from the course held in 2022 in Drobak, Norway

Patrick Meirmans, Marc Stift, Filip Kolář, Olivier Hardy, Magdalena Bohutínská and Alison Scott

General


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

    • Tutorial with questions only for Days 1-4 and the same Tutorial with answers (pre-final version)

    • Schedule of the week

    Reading


    Software


    Day 0 

    Introduction to scripting and simulations in R


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


    Day 1 

    Introduction to autopolyploid population genetics theory, population diversity and differentiation


    Genetic diversity, HWE, analogues of F-statistics, missing dosage problem (theory & simulations)


    Software

    R Scripts for days 1 & 2


    Day 2

    Impact of mixed-mating on autopolyploid populations & Clustering methods


    Inbreeding - Double reduction - Estimating selfing rates with mixed ploidy - clustering mixed ploidy populations (simulations &empirical analyses)


    Software


    Sample data

    Day 3 

    Evolutionary history reconstruction in polyploid species and populations


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



    Day 4 

    Selection in diploids vs polyploids


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


    • Introductory slides and a theory paper
    • General overview of topics for Day 3 & 4 in Majda's manuscript and associated GitHub

    Sample data