Journal
PLANTS-BASEL
Volume 12, Issue 23, Pages -Publisher
MDPI
DOI: 10.3390/plants12233946
Keywords
reference genes; RNA-seq datasets; Oryza sativa; RT-qPCR; gene expression
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This study identified suitable reference genes for different rice tissues under drought and salt stress by using RNA-seq datasets. The results showed that OsMED7, OsACT1, and OsOS-9 were the robust reference genes for leaf samples, OsACT1, OsZOS3-23, and OsGDCP were recommended for shoots, and OsMED7, OsOS-9, and OsGDCP were the most reliable reference genes for roots. These findings are valuable for improving the accuracy of gene expression in rice under similar conditions through the selection of appropriate reference genes.
Reverse transcription quantitative real-time PCR (RT-qPCR) is arguably the most prevalent and accurate quantitative gene expression analysis. However, selection of reliable reference genes for RT-qPCR in rice (Oryza sativa) is still limited, especially for a specific tissue type or growth condition. In this study, we took the advantage of our RNA-seq datasets encompassing data from five rice varieties with diverse treatment conditions, identified 12 novel candidate reference genes, and conducted rigorous evaluations of their suitability across typical rice tissues. Comprehensive analysis of the leaves, shoots, and roots of two rice seedlings subjected to salt (30 mmol/L NaCl) and drought (air-dry) stresses have revealed that OsMED7, OsACT1, and OsOS-9 were the robust reference genes for leaf samples, while OsACT1, OsZOS3-23, and OsGDCP were recommended for shoots and OsMED7, OsOS-9, and OsGDCP were the most reliable reference genes for roots. Comparison results produced by different sets of reference genes revealed that all these newly recommended reference genes displayed less variation than previous commonly used references genes under the experiment conditions. Thus, selecting appropriate reference genes from RNA-seq datasets leads to identification of reference genes suitable for respective rice tissues under drought and salt stress. The findings offer valuable insights for refining the screening of candidate reference genes under diverse conditions through the RNA-seq database. This refinement serves to improve the accuracy of gene expression in rice under similar conditions.
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