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polymapR—linkage analysis and genetic map construction from F(1) populations of outcrossing polyploids

MOTIVATION: Polyploid species carry more than two copies of each chromosome, a condition found in many of the world’s most important crops. Genetic mapping in polyploids is more complex than in diploid species, resulting in a lack of available software tools. These are needed if we are to realize al...

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Autores principales: Bourke, Peter M, van Geest, Geert, Voorrips, Roeland E, Jansen, Johannes, Kranenburg, Twan, Shahin, Arwa, Visser, Richard G F, Arens, Paul, Smulders, Marinus J M, Maliepaard, Chris
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Oxford University Press 2018
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6184683/
https://www.ncbi.nlm.nih.gov/pubmed/29722786
http://dx.doi.org/10.1093/bioinformatics/bty371
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author Bourke, Peter M
van Geest, Geert
Voorrips, Roeland E
Jansen, Johannes
Kranenburg, Twan
Shahin, Arwa
Visser, Richard G F
Arens, Paul
Smulders, Marinus J M
Maliepaard, Chris
author_facet Bourke, Peter M
van Geest, Geert
Voorrips, Roeland E
Jansen, Johannes
Kranenburg, Twan
Shahin, Arwa
Visser, Richard G F
Arens, Paul
Smulders, Marinus J M
Maliepaard, Chris
author_sort Bourke, Peter M
collection PubMed
description MOTIVATION: Polyploid species carry more than two copies of each chromosome, a condition found in many of the world’s most important crops. Genetic mapping in polyploids is more complex than in diploid species, resulting in a lack of available software tools. These are needed if we are to realize all the opportunities offered by modern genotyping platforms for genetic research and breeding in polyploid crops. RESULTS: polymapR is an R package for genetic linkage analysis and integrated genetic map construction from bi-parental populations of outcrossing autopolyploids. It can currently analyse triploid, tetraploid and hexaploid marker datasets and is applicable to various crops including potato, leek, alfalfa, blueberry, chrysanthemum, sweet potato or kiwifruit. It can detect, estimate and correct for preferential chromosome pairing, and has been tested on high-density marker datasets from potato, rose and chrysanthemum, generating high-density integrated linkage maps in all of these crops. AVAILABILITY AND IMPLEMENTATION: polymapR is freely available under the general public license from the Comprehensive R Archive Network (CRAN) at http://cran.r-project.org/package=polymapR. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online.
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spelling pubmed-61846832018-10-18 polymapR—linkage analysis and genetic map construction from F(1) populations of outcrossing polyploids Bourke, Peter M van Geest, Geert Voorrips, Roeland E Jansen, Johannes Kranenburg, Twan Shahin, Arwa Visser, Richard G F Arens, Paul Smulders, Marinus J M Maliepaard, Chris Bioinformatics Original Papers MOTIVATION: Polyploid species carry more than two copies of each chromosome, a condition found in many of the world’s most important crops. Genetic mapping in polyploids is more complex than in diploid species, resulting in a lack of available software tools. These are needed if we are to realize all the opportunities offered by modern genotyping platforms for genetic research and breeding in polyploid crops. RESULTS: polymapR is an R package for genetic linkage analysis and integrated genetic map construction from bi-parental populations of outcrossing autopolyploids. It can currently analyse triploid, tetraploid and hexaploid marker datasets and is applicable to various crops including potato, leek, alfalfa, blueberry, chrysanthemum, sweet potato or kiwifruit. It can detect, estimate and correct for preferential chromosome pairing, and has been tested on high-density marker datasets from potato, rose and chrysanthemum, generating high-density integrated linkage maps in all of these crops. AVAILABILITY AND IMPLEMENTATION: polymapR is freely available under the general public license from the Comprehensive R Archive Network (CRAN) at http://cran.r-project.org/package=polymapR. SUPPLEMENTARY INFORMATION: Supplementary data are available at Bioinformatics online. Oxford University Press 2018-10-15 2018-05-02 /pmc/articles/PMC6184683/ /pubmed/29722786 http://dx.doi.org/10.1093/bioinformatics/bty371 Text en © The Author(s) 2018. Published by Oxford University Press. http://creativecommons.org/licenses/by-nc/4.0/ This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/4.0/), which permits non-commercial re-use, distribution, and reproduction in any medium, provided the original work is properly cited. For commercial re-use, please contact journals.permissions@oup.com
spellingShingle Original Papers
Bourke, Peter M
van Geest, Geert
Voorrips, Roeland E
Jansen, Johannes
Kranenburg, Twan
Shahin, Arwa
Visser, Richard G F
Arens, Paul
Smulders, Marinus J M
Maliepaard, Chris
polymapR—linkage analysis and genetic map construction from F(1) populations of outcrossing polyploids
title polymapR—linkage analysis and genetic map construction from F(1) populations of outcrossing polyploids
title_full polymapR—linkage analysis and genetic map construction from F(1) populations of outcrossing polyploids
title_fullStr polymapR—linkage analysis and genetic map construction from F(1) populations of outcrossing polyploids
title_full_unstemmed polymapR—linkage analysis and genetic map construction from F(1) populations of outcrossing polyploids
title_short polymapR—linkage analysis and genetic map construction from F(1) populations of outcrossing polyploids
title_sort polymapr—linkage analysis and genetic map construction from f(1) populations of outcrossing polyploids
topic Original Papers
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6184683/
https://www.ncbi.nlm.nih.gov/pubmed/29722786
http://dx.doi.org/10.1093/bioinformatics/bty371
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