Transcriptome analysis of rice root response to environmental stress

碩士 === 國立成功大學 === 生命科學系 === 102 === Comparative transcriptome analysis was performed to explore transcriptional response of rice (Oryza sativa L. cv. TN-67) to a variety of environmental stresses. Global response of rice to eight stress conditions: arsenate, copper, cadmium, mercury, chromate, vanad...

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Bibliographic Details
Main Authors: Li-YaoHuang, 黃醴嶢
Other Authors: Hao-Jen Huang
Format: Others
Language:en_US
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/44143629104569015815
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Summary:碩士 === 國立成功大學 === 生命科學系 === 102 === Comparative transcriptome analysis was performed to explore transcriptional response of rice (Oryza sativa L. cv. TN-67) to a variety of environmental stresses. Global response of rice to eight stress conditions: arsenate, copper, cadmium, mercury, chromate, vanadate, ferulic acid and juglone, were analyzed using DNA microarrays. There were 539 genes defined as general stress induced response (GSIR) genes as being induced at least two fold change under all stress conditions. A total of 61 transcription factors (TFs) were found in GSIR genes, and most of their Arabidopsis homologs were also generally induced under different stresses, indicating functional conservation of these TFs in stress signaling. Three central aspects in the early response of rice to environmental stress were discovered after analyzing GSIR genes. These aspects includes 1) biosynthesis of ethylene, jasmonate acid and abscisic acid as well as deactivation of gibberellin, indole-3-acetic acid and cytokinin; 2) alternation in energy metabolism such as biosynthesis of γ-aminobutyric acid (GABA); 3) biosynthesis of lignin and suberin in the root. In addition, rice exhibited similar transcriptional response to arsenate and juglone, especially in genes related to xenobiotic metabolism. Genes that were specifically induced by single stress in our data, might hold potential to be developed as a biomarker for specific environment contamination. In this study, we discovered a candidate biomarker to detect cadmium contamination in the environment. Our results provide insights into understanding of molecular response of rice to environmental stresses and also demonstrated the potential of using comparative transcriptome analysis to discover new biomarkers.