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GenAPoPop 1.0: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms

Authors :
Stoeckel, Solenn
Becheler, Ronan
Bocharova, Ekaterina
Barloy, Dominique
Stoeckel, Solenn
Becheler, Ronan
Bocharova, Ekaterina
Barloy, Dominique
Source :
Authorea (Authorea, Inc.), 2022-12-02 , Vol. December 02, 20 , P. 31p.
Publication Year :
2022

Abstract

Autopolyploidy is quite common in most clades of eukaryotes. The emergence of sequence-based genotyping methods with individual and marker tags enables now confident allele dosage, overcoming the main obstacle to the democratization of the population genetic approaches when studying ecology and evolution of autopolyploid populations and species. Partial clonality, allogamy and selfing are reproductive modes commonly that have deep consequences on the ecology and evolution of population and species. Analysing genetic diversity and its dynamics over generations is one efficient way to infer the relative importance of clonality, selfing and allogamy in populations. GENAPOPOP is a user-friendly solution to compute the specific corpus of population genetic indices needed to analyse partially clonal, allogamous and selfed polysomic populations genotyped with confident allele dosage. It also easily provides the posterior probabilities of quantitative reproductive modes in autopolyploid populations genotyped at two-time steps and a graphical representation of the minimum spanning trees of the genetic distances between polyploid individuals, facilitating the interpretation of the genetic coancestry between individuals in hierarchically structured populations. GENAPOPOP complements the previously existing solutions, including SPAGEDI and POLYGENE, to use genotypings to study the ecology and evolution of autopolyploid populations. It was specially developed with a simple graphical interface and workflow to facilitate practical course and teaching of population genetics for autopolyploid populations.

Details

Database :
OAIster
Journal :
Authorea (Authorea, Inc.), 2022-12-02 , Vol. December 02, 20 , P. 31p.
Notes :
application/pdf, English
Publication Type :
Electronic Resource
Accession number :
edsoai.on1373800332
Document Type :
Electronic Resource
Full Text :
https://doi.org/10.22541.au.166996062.20159219.v1