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A simple optimization can improve the performance of single feature polymorphism detection by Affymetrix expression arrays
BACKGROUND: High-density oligonucleotide arrays are effective tools for genotyping numerous loci simultaneously. In small genome species (genome size: < ~300 Mb), whole-genome DNA hybridization to expression arrays has been used for various applications. In large genome species, transcript hybrid...
Autores principales: | , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2010
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2885369/ https://www.ncbi.nlm.nih.gov/pubmed/20482895 http://dx.doi.org/10.1186/1471-2164-11-315 |
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author | Horiuchi, Youko Harushima, Yoshiaki Fujisawa, Hironori Mochizuki, Takako Kawakita, Masanori Sakaguchi, Takayuki Kurata, Nori |
author_facet | Horiuchi, Youko Harushima, Yoshiaki Fujisawa, Hironori Mochizuki, Takako Kawakita, Masanori Sakaguchi, Takayuki Kurata, Nori |
author_sort | Horiuchi, Youko |
collection | PubMed |
description | BACKGROUND: High-density oligonucleotide arrays are effective tools for genotyping numerous loci simultaneously. In small genome species (genome size: < ~300 Mb), whole-genome DNA hybridization to expression arrays has been used for various applications. In large genome species, transcript hybridization to expression arrays has been used for genotyping. Although rice is a fully sequenced model plant of medium genome size (~400 Mb), there are a few examples of the use of rice oligonucleotide array as a genotyping tool. RESULTS: We compared the single feature polymorphism (SFP) detection performance of whole-genome and transcript hybridizations using the Affymetrix GeneChip(® )Rice Genome Array, using the rice cultivars with full genome sequence, japonica cultivar Nipponbare and indica cultivar 93-11. Both genomes were surveyed for all probe target sequences. Only completely matched 25-mer single copy probes of the Nipponbare genome were extracted, and SFPs between them and 93-11 sequences were predicted. We investigated optimum conditions for SFP detection in both whole genome and transcript hybridization using differences between perfect match and mismatch probe intensities of non-polymorphic targets, assuming that these differences are representative of those between mismatch and perfect targets. Several statistical methods of SFP detection by whole-genome hybridization were compared under the optimized conditions. Causes of false positives and negatives in SFP detection in both types of hybridization were investigated. CONCLUSIONS: The optimizations allowed a more than 20% increase in true SFP detection in whole-genome hybridization and a large improvement of SFP detection performance in transcript hybridization. Significance analysis of the microarray for log-transformed raw intensities of PM probes gave the best performance in whole genome hybridization, and 22,936 true SFPs were detected with 23.58% false positives by whole genome hybridization. For transcript hybridization, stable SFP detection was achieved for highly expressed genes, and about 3,500 SFPs were detected at a high sensitivity (> 50%) in both shoot and young panicle transcripts. High SFP detection performances of both genome and transcript hybridizations indicated that microarrays of a complex genome (e.g., of Oryza sativa) can be effectively utilized for whole genome genotyping to conduct mutant mapping and analysis of quantitative traits such as gene expression levels. |
format | Text |
id | pubmed-2885369 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2010 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-28853692010-06-15 A simple optimization can improve the performance of single feature polymorphism detection by Affymetrix expression arrays Horiuchi, Youko Harushima, Yoshiaki Fujisawa, Hironori Mochizuki, Takako Kawakita, Masanori Sakaguchi, Takayuki Kurata, Nori BMC Genomics Research Article BACKGROUND: High-density oligonucleotide arrays are effective tools for genotyping numerous loci simultaneously. In small genome species (genome size: < ~300 Mb), whole-genome DNA hybridization to expression arrays has been used for various applications. In large genome species, transcript hybridization to expression arrays has been used for genotyping. Although rice is a fully sequenced model plant of medium genome size (~400 Mb), there are a few examples of the use of rice oligonucleotide array as a genotyping tool. RESULTS: We compared the single feature polymorphism (SFP) detection performance of whole-genome and transcript hybridizations using the Affymetrix GeneChip(® )Rice Genome Array, using the rice cultivars with full genome sequence, japonica cultivar Nipponbare and indica cultivar 93-11. Both genomes were surveyed for all probe target sequences. Only completely matched 25-mer single copy probes of the Nipponbare genome were extracted, and SFPs between them and 93-11 sequences were predicted. We investigated optimum conditions for SFP detection in both whole genome and transcript hybridization using differences between perfect match and mismatch probe intensities of non-polymorphic targets, assuming that these differences are representative of those between mismatch and perfect targets. Several statistical methods of SFP detection by whole-genome hybridization were compared under the optimized conditions. Causes of false positives and negatives in SFP detection in both types of hybridization were investigated. CONCLUSIONS: The optimizations allowed a more than 20% increase in true SFP detection in whole-genome hybridization and a large improvement of SFP detection performance in transcript hybridization. Significance analysis of the microarray for log-transformed raw intensities of PM probes gave the best performance in whole genome hybridization, and 22,936 true SFPs were detected with 23.58% false positives by whole genome hybridization. For transcript hybridization, stable SFP detection was achieved for highly expressed genes, and about 3,500 SFPs were detected at a high sensitivity (> 50%) in both shoot and young panicle transcripts. High SFP detection performances of both genome and transcript hybridizations indicated that microarrays of a complex genome (e.g., of Oryza sativa) can be effectively utilized for whole genome genotyping to conduct mutant mapping and analysis of quantitative traits such as gene expression levels. BioMed Central 2010-05-20 /pmc/articles/PMC2885369/ /pubmed/20482895 http://dx.doi.org/10.1186/1471-2164-11-315 Text en Copyright ©2010 Horiuchi 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 Horiuchi, Youko Harushima, Yoshiaki Fujisawa, Hironori Mochizuki, Takako Kawakita, Masanori Sakaguchi, Takayuki Kurata, Nori A simple optimization can improve the performance of single feature polymorphism detection by Affymetrix expression arrays |
title | A simple optimization can improve the performance of single feature polymorphism detection by Affymetrix expression arrays |
title_full | A simple optimization can improve the performance of single feature polymorphism detection by Affymetrix expression arrays |
title_fullStr | A simple optimization can improve the performance of single feature polymorphism detection by Affymetrix expression arrays |
title_full_unstemmed | A simple optimization can improve the performance of single feature polymorphism detection by Affymetrix expression arrays |
title_short | A simple optimization can improve the performance of single feature polymorphism detection by Affymetrix expression arrays |
title_sort | simple optimization can improve the performance of single feature polymorphism detection by affymetrix expression arrays |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2885369/ https://www.ncbi.nlm.nih.gov/pubmed/20482895 http://dx.doi.org/10.1186/1471-2164-11-315 |
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