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Development of a microarray for two rice subspecies: characterization and validation of gene expression in rice tissues

BACKGROUND: Rice is one of the major crop species in the world helping to sustain approximately half of the global population’s diet especially in Asia. However, due to the impact of extreme climate change and global warming, rice crop production and yields may be adversely affected resulting in a w...

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Autores principales: Chen, Jia-Shing, Lin, Shang-Chi, Chen, Chia-Ying, Hsieh, Yen-Ting, Pai, Ping-Hui, Chen, Long-Kung, Lee, Shengwan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2014
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3891988/
https://www.ncbi.nlm.nih.gov/pubmed/24398116
http://dx.doi.org/10.1186/1756-0500-7-15
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author Chen, Jia-Shing
Lin, Shang-Chi
Chen, Chia-Ying
Hsieh, Yen-Ting
Pai, Ping-Hui
Chen, Long-Kung
Lee, Shengwan
author_facet Chen, Jia-Shing
Lin, Shang-Chi
Chen, Chia-Ying
Hsieh, Yen-Ting
Pai, Ping-Hui
Chen, Long-Kung
Lee, Shengwan
author_sort Chen, Jia-Shing
collection PubMed
description BACKGROUND: Rice is one of the major crop species in the world helping to sustain approximately half of the global population’s diet especially in Asia. However, due to the impact of extreme climate change and global warming, rice crop production and yields may be adversely affected resulting in a world food crisis. Researchers have been keen to understand the effects of drought, temperature and other environmental stress factors on rice plant growth and development. Gene expression microarray technology represents a key strategy for the identification of genes and their associated expression patterns in response to stress. Here, we report on the development of the rice OneArray® microarray platform which is suitable for two major rice subspecies, japonica and indica. RESULTS: The rice OneArray® 60-mer, oligonucleotide microarray consists of a total of 21,179 probes covering 20,806 genes of japonica and 13,683 genes of indica. Through a validation study, total RNA isolated from rice shoots and roots were used for comparison of gene expression profiles via microarray examination. The results were submitted to NCBI’s Gene Expression Omnibus (GEO). Data can be found under the GEO accession number GSE50844 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50844). A list of significantly differentially expressed genes was generated; 438 shoot-specific genes were identified among 3,138 up-regulated genes, and 463 root-specific genes were found among 3,845 down-regulated genes. GO enrichment analysis demonstrates these results are in agreement with the known physiological processes of the different organs/tissues. Furthermore, qRT-PCR validation was performed on 66 genes, and found to significantly correlate with the microarray results (R = 0.95, p < 0.001***). CONCLUSION: The rice OneArray® 22 K microarray, the first rice microarray, covering both japonica and indica subspecies was designed and validated in a comprehensive study of gene expression in rice tissues. The rice OneArray® microarray platform revealed high specificity and sensitivity. Additional information for the rice OneArray® microarray can be found at http://www.phalanx.com.tw/index.php.
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spelling pubmed-38919882014-01-15 Development of a microarray for two rice subspecies: characterization and validation of gene expression in rice tissues Chen, Jia-Shing Lin, Shang-Chi Chen, Chia-Ying Hsieh, Yen-Ting Pai, Ping-Hui Chen, Long-Kung Lee, Shengwan BMC Res Notes Research Article BACKGROUND: Rice is one of the major crop species in the world helping to sustain approximately half of the global population’s diet especially in Asia. However, due to the impact of extreme climate change and global warming, rice crop production and yields may be adversely affected resulting in a world food crisis. Researchers have been keen to understand the effects of drought, temperature and other environmental stress factors on rice plant growth and development. Gene expression microarray technology represents a key strategy for the identification of genes and their associated expression patterns in response to stress. Here, we report on the development of the rice OneArray® microarray platform which is suitable for two major rice subspecies, japonica and indica. RESULTS: The rice OneArray® 60-mer, oligonucleotide microarray consists of a total of 21,179 probes covering 20,806 genes of japonica and 13,683 genes of indica. Through a validation study, total RNA isolated from rice shoots and roots were used for comparison of gene expression profiles via microarray examination. The results were submitted to NCBI’s Gene Expression Omnibus (GEO). Data can be found under the GEO accession number GSE50844 (http://www.ncbi.nlm.nih.gov/geo/query/acc.cgi?acc=GSE50844). A list of significantly differentially expressed genes was generated; 438 shoot-specific genes were identified among 3,138 up-regulated genes, and 463 root-specific genes were found among 3,845 down-regulated genes. GO enrichment analysis demonstrates these results are in agreement with the known physiological processes of the different organs/tissues. Furthermore, qRT-PCR validation was performed on 66 genes, and found to significantly correlate with the microarray results (R = 0.95, p < 0.001***). CONCLUSION: The rice OneArray® 22 K microarray, the first rice microarray, covering both japonica and indica subspecies was designed and validated in a comprehensive study of gene expression in rice tissues. The rice OneArray® microarray platform revealed high specificity and sensitivity. Additional information for the rice OneArray® microarray can be found at http://www.phalanx.com.tw/index.php. BioMed Central 2014-01-08 /pmc/articles/PMC3891988/ /pubmed/24398116 http://dx.doi.org/10.1186/1756-0500-7-15 Text en Copyright © 2014 Chen 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
Chen, Jia-Shing
Lin, Shang-Chi
Chen, Chia-Ying
Hsieh, Yen-Ting
Pai, Ping-Hui
Chen, Long-Kung
Lee, Shengwan
Development of a microarray for two rice subspecies: characterization and validation of gene expression in rice tissues
title Development of a microarray for two rice subspecies: characterization and validation of gene expression in rice tissues
title_full Development of a microarray for two rice subspecies: characterization and validation of gene expression in rice tissues
title_fullStr Development of a microarray for two rice subspecies: characterization and validation of gene expression in rice tissues
title_full_unstemmed Development of a microarray for two rice subspecies: characterization and validation of gene expression in rice tissues
title_short Development of a microarray for two rice subspecies: characterization and validation of gene expression in rice tissues
title_sort development of a microarray for two rice subspecies: characterization and validation of gene expression in rice tissues
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3891988/
https://www.ncbi.nlm.nih.gov/pubmed/24398116
http://dx.doi.org/10.1186/1756-0500-7-15
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