Reference datasets for consistency tests of GENAPOPOP 1.0 software: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms.

Datasets companion of the manuscript entitled GenAPoPop 1.0: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms, used to achieve consistency test with Spagedi 1.5 software, and used as reference datasets to demonstrate the new possi...

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Main Authors: Dominique Barloy, Ekaterina Bocharova, Maryline Harang, Luis Portillo, Solenn Stoeckel
Format: Dataset
Language:English
Published: 2022
Subjects:
Online Access:https://zenodo.org/record/8164531
https://doi.org/10.5281/zenodo.8164531
id ftzenodo:oai:zenodo.org:8164531
record_format openpolar
spelling ftzenodo:oai:zenodo.org:8164531 2023-08-15T12:40:25+02:00 Reference datasets for consistency tests of GENAPOPOP 1.0 software: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms. Dominique Barloy Ekaterina Bocharova Maryline Harang Luis Portillo Solenn Stoeckel 2022-11-07 https://zenodo.org/record/8164531 https://doi.org/10.5281/zenodo.8164531 eng eng doi:10.5281/zenodo.7299913 https://zenodo.org/record/8164531 https://doi.org/10.5281/zenodo.8164531 oai:zenodo.org:8164531 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/legalcode Population genetic Autopolyploidy Reproductive mode selfing Partial clonality info:eu-repo/semantics/other dataset 2022 ftzenodo https://doi.org/10.5281/zenodo.816453110.5281/zenodo.7299913 2023-07-25T22:59:09Z Datasets companion of the manuscript entitled GenAPoPop 1.0: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms, used to achieve consistency test with Spagedi 1.5 software, and used as reference datasets to demonstrate the new possibilities allowed by GenAPoPop software. Raw datasets used for testing GenAPoPop 1.0, A user-friendly software for easily compute genetic analyses of autopolyploid populations packaged for Linux, MacOS and Windows; Results obtained from Spagedi 1.5 (Hardy & Vekemans 2001) and GenAPoPop1.0. Four pseudo-observed genotyping autotetrapolyploid SNP datasets, corresponding respectively to panmictic (A), highly clonal (B), highly selfed (C) and half-clonal-half-selfed (D) reproductive mode scenario. In all these four scenarios, we simulated two populations of 100 individuals each, connected with a migration rate of 0.01 and mutating at a rate of 0.01, genotyped at 10 SNPs. Datasets were recorded 1000 generations after an initial randomly drawing population with equal allele frequencies. One SNP tetraploid genotyping dataset from two French Ludwigia grandiflora subsp. hexapetala populations (aquatic plant from the Angiosperm clade): two populations in which we collected 75 individuals, each genotyped with 36 SNPs using the Hiplex method allowing confident allele dosage (Delord et al. 2018). One microsatellite tetraploid genotyping dataset on two Aulactinia stella populations (sea-anemone from the Cnidaria phylum), sampled on the coast of the arctic ocean. One population of 21 individuals and one population of 15 individuals, both genotyped with 10 microsatellites. We also report here the consistency tests with GenAlex and Spagedi, results of analyses (GPP tab) on 6300 independant simulations and inferences of the quantitative reproductive modes using the bayesian method on CEMP tab made on 6300 another independant simulations. Dataset Arctic Arctic Ocean Zenodo Arctic Arctic Ocean Stella ENVELOPE(-64.254,-64.254,-65.249,-65.249)
institution Open Polar
collection Zenodo
op_collection_id ftzenodo
language English
topic Population genetic
Autopolyploidy
Reproductive mode
selfing
Partial clonality
spellingShingle Population genetic
Autopolyploidy
Reproductive mode
selfing
Partial clonality
Dominique Barloy
Ekaterina Bocharova
Maryline Harang
Luis Portillo
Solenn Stoeckel
Reference datasets for consistency tests of GENAPOPOP 1.0 software: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms.
topic_facet Population genetic
Autopolyploidy
Reproductive mode
selfing
Partial clonality
description Datasets companion of the manuscript entitled GenAPoPop 1.0: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms, used to achieve consistency test with Spagedi 1.5 software, and used as reference datasets to demonstrate the new possibilities allowed by GenAPoPop software. Raw datasets used for testing GenAPoPop 1.0, A user-friendly software for easily compute genetic analyses of autopolyploid populations packaged for Linux, MacOS and Windows; Results obtained from Spagedi 1.5 (Hardy & Vekemans 2001) and GenAPoPop1.0. Four pseudo-observed genotyping autotetrapolyploid SNP datasets, corresponding respectively to panmictic (A), highly clonal (B), highly selfed (C) and half-clonal-half-selfed (D) reproductive mode scenario. In all these four scenarios, we simulated two populations of 100 individuals each, connected with a migration rate of 0.01 and mutating at a rate of 0.01, genotyped at 10 SNPs. Datasets were recorded 1000 generations after an initial randomly drawing population with equal allele frequencies. One SNP tetraploid genotyping dataset from two French Ludwigia grandiflora subsp. hexapetala populations (aquatic plant from the Angiosperm clade): two populations in which we collected 75 individuals, each genotyped with 36 SNPs using the Hiplex method allowing confident allele dosage (Delord et al. 2018). One microsatellite tetraploid genotyping dataset on two Aulactinia stella populations (sea-anemone from the Cnidaria phylum), sampled on the coast of the arctic ocean. One population of 21 individuals and one population of 15 individuals, both genotyped with 10 microsatellites. We also report here the consistency tests with GenAlex and Spagedi, results of analyses (GPP tab) on 6300 independant simulations and inferences of the quantitative reproductive modes using the bayesian method on CEMP tab made on 6300 another independant simulations.
format Dataset
author Dominique Barloy
Ekaterina Bocharova
Maryline Harang
Luis Portillo
Solenn Stoeckel
author_facet Dominique Barloy
Ekaterina Bocharova
Maryline Harang
Luis Portillo
Solenn Stoeckel
author_sort Dominique Barloy
title Reference datasets for consistency tests of GENAPOPOP 1.0 software: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms.
title_short Reference datasets for consistency tests of GENAPOPOP 1.0 software: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms.
title_full Reference datasets for consistency tests of GENAPOPOP 1.0 software: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms.
title_fullStr Reference datasets for consistency tests of GENAPOPOP 1.0 software: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms.
title_full_unstemmed Reference datasets for consistency tests of GENAPOPOP 1.0 software: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms.
title_sort reference datasets for consistency tests of genapopop 1.0 software: a user-friendly software to analyse genetic diversity and structure in partially clonal and selfed polyploid organisms.
publishDate 2022
url https://zenodo.org/record/8164531
https://doi.org/10.5281/zenodo.8164531
long_lat ENVELOPE(-64.254,-64.254,-65.249,-65.249)
geographic Arctic
Arctic Ocean
Stella
geographic_facet Arctic
Arctic Ocean
Stella
genre Arctic
Arctic Ocean
genre_facet Arctic
Arctic Ocean
op_relation doi:10.5281/zenodo.7299913
https://zenodo.org/record/8164531
https://doi.org/10.5281/zenodo.8164531
oai:zenodo.org:8164531
op_rights info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by/4.0/legalcode
op_doi https://doi.org/10.5281/zenodo.816453110.5281/zenodo.7299913
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