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Mapping mutations in plant genomes with the user-friendly web application CandiSNP
BACKGROUND: Analysis of mutants isolated from forward-genetic screens has revealed key components of several plant signalling pathways. Mapping mutations by position, either using classical methods or whole genome high-throughput sequencing (HTS), largely relies on the analysis of genome-wide polymo...
Autores principales: | , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301057/ https://www.ncbi.nlm.nih.gov/pubmed/25610492 http://dx.doi.org/10.1186/s13007-014-0041-7 |
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author | Etherington, Graham J Monaghan, Jacqueline Zipfel, Cyril MacLean, Dan |
author_facet | Etherington, Graham J Monaghan, Jacqueline Zipfel, Cyril MacLean, Dan |
author_sort | Etherington, Graham J |
collection | PubMed |
description | BACKGROUND: Analysis of mutants isolated from forward-genetic screens has revealed key components of several plant signalling pathways. Mapping mutations by position, either using classical methods or whole genome high-throughput sequencing (HTS), largely relies on the analysis of genome-wide polymorphisms in F(2) recombinant populations. Combining bulk segregant analysis with HTS has accelerated the identification of causative mutations and has been widely adopted in many research programmes. A major advantage of HTS is the ability to perform bulk segregant analysis after back-crossing to the parental line rather than out-crossing to a polymorphic ecotype, which reduces genetic complexity and avoids issues with phenotype penetrance in different ecotypes. Plotting the positions of homozygous polymorphisms in a mutant genome identifies areas of low recombination and is an effective way to detect molecular linkage to a phenotype of interest. RESULTS: We describe the use of single nucleotide polymorphism (SNP) density plots as a mapping strategy to identify and refine chromosomal positions of causative mutations from screened plant populations. We developed a web application called CandiSNP that generates density plots from user-provided SNP data obtained from HTS. Candidate causative mutations, defined as SNPs causing non-synonymous changes in annotated coding regions are highlighted on the plots and listed in a table. We use data generated from a recent mutant screen in the model plant Arabidopsis thaliana as proof-of-concept for the validity of our tool. CONCLUSIONS: CandiSNP is a user-friendly application that will aid in novel discoveries from forward-genetic mutant screens. It is particularly useful for analysing HTS data from bulked back-crossed mutants, which contain fewer polymorphisms than data generated from out-crosses. The web-application is freely available online at http://candisnp.tsl.ac.uk. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13007-014-0041-7) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4301057 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-43010572015-01-22 Mapping mutations in plant genomes with the user-friendly web application CandiSNP Etherington, Graham J Monaghan, Jacqueline Zipfel, Cyril MacLean, Dan Plant Methods Software BACKGROUND: Analysis of mutants isolated from forward-genetic screens has revealed key components of several plant signalling pathways. Mapping mutations by position, either using classical methods or whole genome high-throughput sequencing (HTS), largely relies on the analysis of genome-wide polymorphisms in F(2) recombinant populations. Combining bulk segregant analysis with HTS has accelerated the identification of causative mutations and has been widely adopted in many research programmes. A major advantage of HTS is the ability to perform bulk segregant analysis after back-crossing to the parental line rather than out-crossing to a polymorphic ecotype, which reduces genetic complexity and avoids issues with phenotype penetrance in different ecotypes. Plotting the positions of homozygous polymorphisms in a mutant genome identifies areas of low recombination and is an effective way to detect molecular linkage to a phenotype of interest. RESULTS: We describe the use of single nucleotide polymorphism (SNP) density plots as a mapping strategy to identify and refine chromosomal positions of causative mutations from screened plant populations. We developed a web application called CandiSNP that generates density plots from user-provided SNP data obtained from HTS. Candidate causative mutations, defined as SNPs causing non-synonymous changes in annotated coding regions are highlighted on the plots and listed in a table. We use data generated from a recent mutant screen in the model plant Arabidopsis thaliana as proof-of-concept for the validity of our tool. CONCLUSIONS: CandiSNP is a user-friendly application that will aid in novel discoveries from forward-genetic mutant screens. It is particularly useful for analysing HTS data from bulked back-crossed mutants, which contain fewer polymorphisms than data generated from out-crosses. The web-application is freely available online at http://candisnp.tsl.ac.uk. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s13007-014-0041-7) contains supplementary material, which is available to authorized users. BioMed Central 2014-12-30 /pmc/articles/PMC4301057/ /pubmed/25610492 http://dx.doi.org/10.1186/s13007-014-0041-7 Text en © Etherington, Monaghan et al.; licensee BioMed Central. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Software Etherington, Graham J Monaghan, Jacqueline Zipfel, Cyril MacLean, Dan Mapping mutations in plant genomes with the user-friendly web application CandiSNP |
title | Mapping mutations in plant genomes with the user-friendly web application CandiSNP |
title_full | Mapping mutations in plant genomes with the user-friendly web application CandiSNP |
title_fullStr | Mapping mutations in plant genomes with the user-friendly web application CandiSNP |
title_full_unstemmed | Mapping mutations in plant genomes with the user-friendly web application CandiSNP |
title_short | Mapping mutations in plant genomes with the user-friendly web application CandiSNP |
title_sort | mapping mutations in plant genomes with the user-friendly web application candisnp |
topic | Software |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4301057/ https://www.ncbi.nlm.nih.gov/pubmed/25610492 http://dx.doi.org/10.1186/s13007-014-0041-7 |
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