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Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice
BACKGROUND: We report the development of a microarray platform for rapid and cost-effective genetic mapping, and its evaluation using rice as a model. In contrast to methods employing whole-genome tiling microarrays for genotyping, our method is based on low-cost spotted microarray production, focus...
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/PMC2435114/ https://www.ncbi.nlm.nih.gov/pubmed/18510771 http://dx.doi.org/10.1186/1746-4811-4-13 |
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author | Edwards, Jeremy D Janda, Jaroslav Sweeney, Megan T Gaikwad, Ambika B Liu, Bin Leung, Hei Galbraith, David W |
author_facet | Edwards, Jeremy D Janda, Jaroslav Sweeney, Megan T Gaikwad, Ambika B Liu, Bin Leung, Hei Galbraith, David W |
author_sort | Edwards, Jeremy D |
collection | PubMed |
description | BACKGROUND: We report the development of a microarray platform for rapid and cost-effective genetic mapping, and its evaluation using rice as a model. In contrast to methods employing whole-genome tiling microarrays for genotyping, our method is based on low-cost spotted microarray production, focusing only on known polymorphic features. RESULTS: We have produced a genotyping microarray for rice, comprising 880 single feature polymorphism (SFP) elements derived from insertions/deletions identified by aligning genomic sequences of the japonica cultivar Nipponbare and the indica cultivar 93-11. The SFPs were experimentally verified by hybridization with labeled genomic DNA prepared from the two cultivars. Using the genotyping microarrays, we found high levels of polymorphism across diverse rice accessions, and were able to classify all five subpopulations of rice with high bootstrap support. The microarrays were used for mapping of a gene conferring resistance to Magnaporthe grisea, the causative organism of rice blast disease, by quantitative genotyping of samples from a recombinant inbred line population pooled by phenotype. CONCLUSION: We anticipate this microarray-based genotyping platform, based on its low cost-per-sample, to be particularly useful in applications requiring whole-genome molecular marker coverage across large numbers of individuals. |
format | Text |
id | pubmed-2435114 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2008 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-24351142008-06-21 Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice Edwards, Jeremy D Janda, Jaroslav Sweeney, Megan T Gaikwad, Ambika B Liu, Bin Leung, Hei Galbraith, David W Plant Methods Methodology BACKGROUND: We report the development of a microarray platform for rapid and cost-effective genetic mapping, and its evaluation using rice as a model. In contrast to methods employing whole-genome tiling microarrays for genotyping, our method is based on low-cost spotted microarray production, focusing only on known polymorphic features. RESULTS: We have produced a genotyping microarray for rice, comprising 880 single feature polymorphism (SFP) elements derived from insertions/deletions identified by aligning genomic sequences of the japonica cultivar Nipponbare and the indica cultivar 93-11. The SFPs were experimentally verified by hybridization with labeled genomic DNA prepared from the two cultivars. Using the genotyping microarrays, we found high levels of polymorphism across diverse rice accessions, and were able to classify all five subpopulations of rice with high bootstrap support. The microarrays were used for mapping of a gene conferring resistance to Magnaporthe grisea, the causative organism of rice blast disease, by quantitative genotyping of samples from a recombinant inbred line population pooled by phenotype. CONCLUSION: We anticipate this microarray-based genotyping platform, based on its low cost-per-sample, to be particularly useful in applications requiring whole-genome molecular marker coverage across large numbers of individuals. BioMed Central 2008-05-29 /pmc/articles/PMC2435114/ /pubmed/18510771 http://dx.doi.org/10.1186/1746-4811-4-13 Text en Copyright © 2008 Edwards 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 | Methodology Edwards, Jeremy D Janda, Jaroslav Sweeney, Megan T Gaikwad, Ambika B Liu, Bin Leung, Hei Galbraith, David W Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice |
title | Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice |
title_full | Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice |
title_fullStr | Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice |
title_full_unstemmed | Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice |
title_short | Development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice |
title_sort | development and evaluation of a high-throughput, low-cost genotyping platform based on oligonucleotide microarrays in rice |
topic | Methodology |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2435114/ https://www.ncbi.nlm.nih.gov/pubmed/18510771 http://dx.doi.org/10.1186/1746-4811-4-13 |
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