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Detection and validation of single feature polymorphisms in cowpea (Vigna unguiculata L. Walp) using a soybean genome array
BACKGROUND: Cowpea (Vigna unguiculata L. Walp) is an important food and fodder legume of the semiarid tropics and subtropics worldwide, especially in sub-Saharan Africa. High density genetic linkage maps are needed for marker assisted breeding but are not available for cowpea. A single feature polym...
Autores principales: | , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2008
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2270837/ https://www.ncbi.nlm.nih.gov/pubmed/18307807 http://dx.doi.org/10.1186/1471-2164-9-107 |
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author | Das, Sayan Bhat, Prasanna R Sudhakar, Chinta Ehlers, Jeffrey D Wanamaker, Steve Roberts, Philip A Cui, Xinping Close, Timothy J |
author_facet | Das, Sayan Bhat, Prasanna R Sudhakar, Chinta Ehlers, Jeffrey D Wanamaker, Steve Roberts, Philip A Cui, Xinping Close, Timothy J |
author_sort | Das, Sayan |
collection | PubMed |
description | BACKGROUND: Cowpea (Vigna unguiculata L. Walp) is an important food and fodder legume of the semiarid tropics and subtropics worldwide, especially in sub-Saharan Africa. High density genetic linkage maps are needed for marker assisted breeding but are not available for cowpea. A single feature polymorphism (SFP) is a microarray-based marker which can be used for high throughput genotyping and high density mapping. RESULTS: Here we report detection and validation of SFPs in cowpea using a readily available soybean (Glycine max) genome array. Robustified projection pursuit (RPP) was used for statistical analysis using RNA as a surrogate for DNA. Using a 15% outlying score cut-off, 1058 potential SFPs were enumerated between two parents of a recombinant inbred line (RIL) population segregating for several important traits including drought tolerance, Fusarium and brown blotch resistance, grain size and photoperiod sensitivity. Sequencing of 25 putative polymorphism-containing amplicons yielded a SFP probe set validation rate of 68%. CONCLUSION: We conclude that the Affymetrix soybean genome array is a satisfactory platform for identification of some 1000's of SFPs for cowpea. This study provides an example of extension of genomic resources from a well supported species to an orphan crop. Presumably, other legume systems are similarly tractable to SFP marker development using existing legume array resources. |
format | Text |
id | pubmed-2270837 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-22708372008-03-21 Detection and validation of single feature polymorphisms in cowpea (Vigna unguiculata L. Walp) using a soybean genome array Das, Sayan Bhat, Prasanna R Sudhakar, Chinta Ehlers, Jeffrey D Wanamaker, Steve Roberts, Philip A Cui, Xinping Close, Timothy J BMC Genomics Research Article BACKGROUND: Cowpea (Vigna unguiculata L. Walp) is an important food and fodder legume of the semiarid tropics and subtropics worldwide, especially in sub-Saharan Africa. High density genetic linkage maps are needed for marker assisted breeding but are not available for cowpea. A single feature polymorphism (SFP) is a microarray-based marker which can be used for high throughput genotyping and high density mapping. RESULTS: Here we report detection and validation of SFPs in cowpea using a readily available soybean (Glycine max) genome array. Robustified projection pursuit (RPP) was used for statistical analysis using RNA as a surrogate for DNA. Using a 15% outlying score cut-off, 1058 potential SFPs were enumerated between two parents of a recombinant inbred line (RIL) population segregating for several important traits including drought tolerance, Fusarium and brown blotch resistance, grain size and photoperiod sensitivity. Sequencing of 25 putative polymorphism-containing amplicons yielded a SFP probe set validation rate of 68%. CONCLUSION: We conclude that the Affymetrix soybean genome array is a satisfactory platform for identification of some 1000's of SFPs for cowpea. This study provides an example of extension of genomic resources from a well supported species to an orphan crop. Presumably, other legume systems are similarly tractable to SFP marker development using existing legume array resources. BioMed Central 2008-02-28 /pmc/articles/PMC2270837/ /pubmed/18307807 http://dx.doi.org/10.1186/1471-2164-9-107 Text en Copyright © 2008 Das et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Das, Sayan Bhat, Prasanna R Sudhakar, Chinta Ehlers, Jeffrey D Wanamaker, Steve Roberts, Philip A Cui, Xinping Close, Timothy J Detection and validation of single feature polymorphisms in cowpea (Vigna unguiculata L. Walp) using a soybean genome array |
title | Detection and validation of single feature polymorphisms in cowpea (Vigna unguiculata L. Walp) using a soybean genome array |
title_full | Detection and validation of single feature polymorphisms in cowpea (Vigna unguiculata L. Walp) using a soybean genome array |
title_fullStr | Detection and validation of single feature polymorphisms in cowpea (Vigna unguiculata L. Walp) using a soybean genome array |
title_full_unstemmed | Detection and validation of single feature polymorphisms in cowpea (Vigna unguiculata L. Walp) using a soybean genome array |
title_short | Detection and validation of single feature polymorphisms in cowpea (Vigna unguiculata L. Walp) using a soybean genome array |
title_sort | detection and validation of single feature polymorphisms in cowpea (vigna unguiculata l. walp) using a soybean genome array |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2270837/ https://www.ncbi.nlm.nih.gov/pubmed/18307807 http://dx.doi.org/10.1186/1471-2164-9-107 |
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