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Special features of RAD Sequencing data: implications for genotyping

Restriction site-associated DNA Sequencing (RAD-Seq) is an economical and efficient method for SNP discovery and genotyping. As with other sequencing-by-synthesis methods, RAD-Seq produces stochastic count data and requires sensitive analysis to develop or genotype markers accurately. We show that t...

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Autores principales: Davey, John W, Cezard, Timothée, Fuentes-Utrilla, Pablo, Eland, Cathlene, Gharbi, Karim, Blaxter, Mark L
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Blackwell Publishing Ltd 2013
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3712469/
https://www.ncbi.nlm.nih.gov/pubmed/23110438
http://dx.doi.org/10.1111/mec.12084
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author Davey, John W
Cezard, Timothée
Fuentes-Utrilla, Pablo
Eland, Cathlene
Gharbi, Karim
Blaxter, Mark L
author_facet Davey, John W
Cezard, Timothée
Fuentes-Utrilla, Pablo
Eland, Cathlene
Gharbi, Karim
Blaxter, Mark L
author_sort Davey, John W
collection PubMed
description Restriction site-associated DNA Sequencing (RAD-Seq) is an economical and efficient method for SNP discovery and genotyping. As with other sequencing-by-synthesis methods, RAD-Seq produces stochastic count data and requires sensitive analysis to develop or genotype markers accurately. We show that there are several sources of bias specific to RAD-Seq that are not explicitly addressed by current genotyping tools, namely restriction fragment bias, restriction site heterozygosity and PCR GC content bias. We explore the performance of existing analysis tools given these biases and discuss approaches to limiting or handling biases in RAD-Seq data. While these biases need to be taken seriously, we believe RAD loci affected by them can be excluded or processed with relative ease in most cases and that most RAD loci will be accurately genotyped by existing tools.
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spelling pubmed-37124692013-07-25 Special features of RAD Sequencing data: implications for genotyping Davey, John W Cezard, Timothée Fuentes-Utrilla, Pablo Eland, Cathlene Gharbi, Karim Blaxter, Mark L Mol Ecol Software Pipelines Restriction site-associated DNA Sequencing (RAD-Seq) is an economical and efficient method for SNP discovery and genotyping. As with other sequencing-by-synthesis methods, RAD-Seq produces stochastic count data and requires sensitive analysis to develop or genotype markers accurately. We show that there are several sources of bias specific to RAD-Seq that are not explicitly addressed by current genotyping tools, namely restriction fragment bias, restriction site heterozygosity and PCR GC content bias. We explore the performance of existing analysis tools given these biases and discuss approaches to limiting or handling biases in RAD-Seq data. While these biases need to be taken seriously, we believe RAD loci affected by them can be excluded or processed with relative ease in most cases and that most RAD loci will be accurately genotyped by existing tools. Blackwell Publishing Ltd 2013-06 2012-10-30 /pmc/articles/PMC3712469/ /pubmed/23110438 http://dx.doi.org/10.1111/mec.12084 Text en Copyright © 2013 John Wiley & Sons Ltd http://creativecommons.org/licenses/by/2.5/ Re-use of this article is permitted in accordance with the Creative Commons Deed, Attribution 2.5, which does not permit commercial exploitation.
spellingShingle Software Pipelines
Davey, John W
Cezard, Timothée
Fuentes-Utrilla, Pablo
Eland, Cathlene
Gharbi, Karim
Blaxter, Mark L
Special features of RAD Sequencing data: implications for genotyping
title Special features of RAD Sequencing data: implications for genotyping
title_full Special features of RAD Sequencing data: implications for genotyping
title_fullStr Special features of RAD Sequencing data: implications for genotyping
title_full_unstemmed Special features of RAD Sequencing data: implications for genotyping
title_short Special features of RAD Sequencing data: implications for genotyping
title_sort special features of rad sequencing data: implications for genotyping
topic Software Pipelines
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3712469/
https://www.ncbi.nlm.nih.gov/pubmed/23110438
http://dx.doi.org/10.1111/mec.12084
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