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

BMC Research Notes

Shengwan Lee¹  Long-Kung Chen¹  Ping-Hui Pai¹  Yen-Ting Hsieh¹  Chia-Ying Chen¹  Shang-Chi Lin¹  Jia-Shing Chen¹ 

[1] Phalanx Biotech Group, 6F, No.6, Technology Road 5, Hsinchu Science Park, Hsinchu 30078, Taiwan, Republic of China

关键词: Microarray;    Rice;    Indica;    Japonica;   

Others  :  1134936
DOI  :  10.1186/1756-0500-7-15

 received in 2013-03-21, accepted in 2014-01-03,  发布年份 2014

【 摘 要 】

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 webcite). 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 webcite.

【 授权许可】

   
2014 Chen et al.; licensee BioMed Central Ltd.

【 图 表 】

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