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題 名 | 水稻抗病及防禦反應基因的全基因組分析=Whole Genome Analysis of Disease Resistance and Defense-Response Genes of Rice |
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作 者 | 王子明; 胡澤寬; 王強生; | 書刊名 | 作物、環境與生物資訊 |
卷 期 | 2:4 民94.12 |
頁 次 | 頁267-281 |
分類號 | 434.114 |
關鍵詞 | 抗病基因; 防禦反應基因; 比較基因體學; 全基因組分析; 核苷酸結合位置; 白胺酸重覆功能區塊; Disease resistance gene; Defenseresponse gene; Comparative genomics; Whole genome analysis; NBS; LRR; |
語 文 | 中文(Chinese) |
中文摘要 | 摘要 近年來,許多已被選殖成功的植物抗病 基因(disease resistance gene, R)皆可編碼 NBS (nucleotide binding site)-LRR (leucinerich repeat)功能區塊(domain),能辨識病 原菌分泌蛋白(elicitor, Avr protein),進而 能保衛植物; 使植物僅具有少數的 NBS-LRR 基因,亦能防禦多樣的病原菌。 藉由已知抗病基因的分子結構,以生物資訊 學(bioinformatics)的方法,跨越研究材料 及分析系統的限制,找出水稻全基因組的抗 病基因約有600 個,可分為4 至9 群;此一 策略提供基因選殖與利用此類基因的另一 有效途徑。藉由結合目前已建構大量的病原 菌接種後水稻基因表現組群(gene expression profiles)資料,可以快速且同步 地觀察抗病及防禦反應相關基因的數量及 種類。發現大部份的防禦反應基因,並不具 專一性,均於染感後4 至24 小時表現,產 生作用,而抗病基因是在植物被感染前即已 表現。本文的目的即在介紹利用演算法 (algorithm)及基因表現分析的資料,找尋的 水稻抗病及防禦反應相關的基因,並將此等 基因以比較基因體學(comparative genomics)的方法,鏈結古典遺傳質量基因 座、數量性狀基因座(quantitative trait loci, QTLs)及基因組核酸序列,並標定在水稻 12 對染色體上,進行抗病相關基因的全基 因體學分析。 |
英文摘要 | ABSTRACT In recent years, many plant disease resistance genes (R) have been cloned and identified, which encode NBS (nucleotide binding site)-LRR (leucine-rich repeat) domain, and may recognize elicitor (Avr protein) to protect plant from various pathogens even with few NBS-LRR genes. Stridden across the barrel of materials and analyses in disease resistance researches, about 600 (grouped into 4 to 9 types) R genes have been predicted by using bioinformatic tools according to sequences of NBS-LRR, and will facilitate the cloning and utilization of these genes. Through analyzing the databases of rice gene expression profiles after pathogens inoculation, we mayquickly and simultaneously study the number, types, and genes related to disease resistance and defense-response. Results showed that most defense-response genes were not specific and expressed at 4 to 24 hours after inoculation. However, R genes have started expression prior to inoculation. In this paper, we introduced the identification of rice disease resistance and defense-response genes by integration of algorithm and gene expression profiles. Through the comparative genomics, we analyzed the whole rice genome by connecting the identified genes with traditional genetic loci, quantitative trait loci, genes associated with disease resistance and defense-response, and eventually located on 12 chromosomes of rice genome. |
本系統中英文摘要資訊取自各篇刊載內容。