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Transcriptome changes in rice (Oryza sativa L.) for high zinc content at the early milky stage
- 언어ENG
- URLhttps://db.koreascholar.com/Article/Detail/302686
Zinc (Zn) deficiency is one of the important abiotic factors limiting rice productivity world-wide and also a widespread nutritional disorder affecting human health. Zinc is one of the most important essential micronutrient for human About thirty percentage world’s population doesn’t still get enough zinc through their diets. As a staple food of over half world’s population, rice should take the responsibility to provide much more zinc in the future. We analyzed the transcriptome profiles for rice grain from high zinc content and low zinc content lines at the early milky stage using the Illumina Sequencing method. The analysis results for the sequencing data indicated that many transcripts showed different expressions between high zinc content and low zinc content in early milky stage of rice and RT-qPCR analyses confirmed the expression patterns of selected transcripts. Functional analysis of the differentially expressed transcripts indicated that genes have functional annotation and their functions are mainly involved in oxidation-reduction, metabolic, transport , transcript regulation, defense response and photosynthetic processes. Based on the functional annotation of the differentially expressed genes, the possible process that regulates these differentially expressed transcripts in rice grain responding to Zinc at the early milky stage was further analyzed. The functional classification of those genes indicated their connection with various metabolic pathways, Zinc transport, signal transduction, transcriptional regulation, and other processes related to growth and development in early milky stage of rice. Using Illumina sequencing technology, the differences between the transcriptomes of high zinc content and low zinc content lines the early milky stage was described here for the first time. The candidate transcripts may provide genetic resources that may be useful in the improvement of Zinc concentration of rice. The model proposed here is based on differences in expression and transcription between two rice lines. In addition, the model may support future studies on the molecular mechanisms underlying plant responses to Zinc.
