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Development of an Ultra-Dense Genetic Map of the Sunflower Genome Based on Single-Feature Polymorphisms
The development of ultra-dense genetic maps has the potential to facilitate detailed comparative genomic analyses and whole genome sequence assemblies. Here we describe the use of a custom Affymetrix GeneChip containing nearly 2.4 million features (25 bp sequences) targeting 86,023 unigenes from sun...
Autores principales: | , , , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Public Library of Science
2012
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3526535/ https://www.ncbi.nlm.nih.gov/pubmed/23284684 http://dx.doi.org/10.1371/journal.pone.0051360 |
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author | Bowers, John E. Nambeesan, Savithri Corbi, Jonathan Barker, Michael S. Rieseberg, Loren H. Knapp, Steven J. Burke, John M. |
author_facet | Bowers, John E. Nambeesan, Savithri Corbi, Jonathan Barker, Michael S. Rieseberg, Loren H. Knapp, Steven J. Burke, John M. |
author_sort | Bowers, John E. |
collection | PubMed |
description | The development of ultra-dense genetic maps has the potential to facilitate detailed comparative genomic analyses and whole genome sequence assemblies. Here we describe the use of a custom Affymetrix GeneChip containing nearly 2.4 million features (25 bp sequences) targeting 86,023 unigenes from sunflower (Helianthus annuus L.) and related species to test for single-feature polymorphisms (SFPs) in a recombinant inbred line (RIL) mapping population derived from a cross between confectionery and oilseed sunflower lines (RHA280×RHA801). We then employed an existing genetic map derived from this same population to rigorously filter out low quality data and place 67,486 features corresponding to 22,481 unigenes on the sunflower genetic map. The resulting map contains a substantial fraction of all sunflower genes and will thus facilitate a number of downstream applications, including genome assembly and the identification of candidate genes underlying QTL or traits of interest. |
format | Online Article Text |
id | pubmed-3526535 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2012 |
publisher | Public Library of Science |
record_format | MEDLINE/PubMed |
spelling | pubmed-35265352013-01-02 Development of an Ultra-Dense Genetic Map of the Sunflower Genome Based on Single-Feature Polymorphisms Bowers, John E. Nambeesan, Savithri Corbi, Jonathan Barker, Michael S. Rieseberg, Loren H. Knapp, Steven J. Burke, John M. PLoS One Research Article The development of ultra-dense genetic maps has the potential to facilitate detailed comparative genomic analyses and whole genome sequence assemblies. Here we describe the use of a custom Affymetrix GeneChip containing nearly 2.4 million features (25 bp sequences) targeting 86,023 unigenes from sunflower (Helianthus annuus L.) and related species to test for single-feature polymorphisms (SFPs) in a recombinant inbred line (RIL) mapping population derived from a cross between confectionery and oilseed sunflower lines (RHA280×RHA801). We then employed an existing genetic map derived from this same population to rigorously filter out low quality data and place 67,486 features corresponding to 22,481 unigenes on the sunflower genetic map. The resulting map contains a substantial fraction of all sunflower genes and will thus facilitate a number of downstream applications, including genome assembly and the identification of candidate genes underlying QTL or traits of interest. Public Library of Science 2012-12-19 /pmc/articles/PMC3526535/ /pubmed/23284684 http://dx.doi.org/10.1371/journal.pone.0051360 Text en © 2012 Bowers et al http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are properly credited. |
spellingShingle | Research Article Bowers, John E. Nambeesan, Savithri Corbi, Jonathan Barker, Michael S. Rieseberg, Loren H. Knapp, Steven J. Burke, John M. Development of an Ultra-Dense Genetic Map of the Sunflower Genome Based on Single-Feature Polymorphisms |
title | Development of an Ultra-Dense Genetic Map of the Sunflower Genome Based on Single-Feature Polymorphisms |
title_full | Development of an Ultra-Dense Genetic Map of the Sunflower Genome Based on Single-Feature Polymorphisms |
title_fullStr | Development of an Ultra-Dense Genetic Map of the Sunflower Genome Based on Single-Feature Polymorphisms |
title_full_unstemmed | Development of an Ultra-Dense Genetic Map of the Sunflower Genome Based on Single-Feature Polymorphisms |
title_short | Development of an Ultra-Dense Genetic Map of the Sunflower Genome Based on Single-Feature Polymorphisms |
title_sort | development of an ultra-dense genetic map of the sunflower genome based on single-feature polymorphisms |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3526535/ https://www.ncbi.nlm.nih.gov/pubmed/23284684 http://dx.doi.org/10.1371/journal.pone.0051360 |
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