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Identification of novel drought stress-regulated coding and noncoding transcripts from Oryza sativa L.
Abiotic environmental stresses cause serious economic losses in agriculture. These stresses include temperature extremes, high salinity and drought. We identified several drought stress-related novel/function unknown coding transcripts (transcription factors and functional genes) and non-coding transcripts (small noncoding transcripts such as microRNA and long noncoding transcripts) using the next generation sequencing method from rice (Oryza sativa L.), and have constructed databases of drought stress-related coding and noncoding transcripts. We used novel gene prediction programs for the selections. The expression level of the each gene was analyzed by real-time PCR. The results ended up the selection of 29 transcription factors, 6 microRNAs and 10 long noncoding RNAs. Currently, we are further characterizing these transcripts. We expect that this study could provide functional information of the drought stress-regulated novel genes, and relationships among novel coding and noncoding transcripts.
