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Comparative analysis of disease resistance related genes in rice.

机译：水稻抗病相关基因的比较分析。

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摘要

Rice provides staple food for over half of the world's population. In respect that pathogen-induced diseases represented by fungal blast ( Magnaporthe grisea) and bacterial blight (Xanthomonas oryzae pv. oryzae) have heavy impact on rice production in China and in other rice growing countries, and rice itself is a model plant for functional genomic study, the long-term goal of this research is to delineate the disease resistance related genes and their regulations in rice defense mechanisms and to harness this knowledge to improve disease resistance in crops.; To test the hypothesis that in the race specific resistance mediated by different resistance (R) genes, the components of disease resistance signaling pathways downstream of R genes may contribute to the resistance spectra, large-scale gene expression profiling were performed by using cDNA microarray technology to do comparative analysis of rice near isogenic lines carrying different R genes and exhibiting different resistant spectra to rice bacterial blight and blast diseases.; In the study, cDNA microarray technology was successfully set up. Two sets of rice cDNA microarrays were constructed, one containing over 10,000 cDNA clones from a rice line inoculated with incompatible blast pathogens (Pi Chip) and the other containing over 9,000 cDNA clones from 14 subtraction libraries made from nine rice lines after blight bacteria inoculation (Xa Chip).; Statistical analysis of microarray data identified a group of classifier genes whose expression profile can be used to distinguish resistant (R) versus sensitive (S) phenotypes toward rice diseases. Hierarchical clustering demonstrated the relationship between gene expression profiles and the resistant spectra. In addition to the clustering analysis frequently used in plant cDNA microarray analysis, the class prediction analyses technique which used in human disease research were adopted to the study of plant disease resistance related phenotypes. The combined effort of unsupervised and supervised comparison methods reveals the correlation between gene expression profiles and resistance phenotypes or even resistance spectra. This provides support to the notion that global transcriptional re-programming is an important strategy for disease resistance and different signal transduction pathways may lead to distinct patterns of gene expression.; Comparative gene expression analyses identified hundreds of rice disease resistance correlation genes, which shed light on the disease resistance mechanisms in rice and enriched the gene pool for engineering rice disease resistance. Some genes never identified in previous studies of plant disease resistance were found in the research. Quantitative PCR was employed to confirm the microarray data and to perform kinetic expression analyses of selected candidate defense signaling regulator genes. The promising results achieved by rapid functional test of these genes in transgenic Arabidopsis proved the value of the microarray analysis in identification of disease resistance regulators in rice.
机译：大米为世界一半以上的人口提供主食。就以真菌瘟病（Magnaporthe grisea）和细菌性疫病（Xanthomonas oryzae pv。oryzae）为代表的病原体引起的疾病对中国和其他水稻种植国的稻米生产具有重大影响，稻米本身就是功能基因组学的典范植物这项研究的长期目标是在水稻防御机制中描述抗病相关基因及其调控，并利用这些知识来提高农作物的抗病性。为了检验以下假设：在由不同抗性（R）基因介导的种族特异性抗性中，R基因下游的疾病抗性信号转导途径的成分可能有助于抗性谱，使用cDNA微阵列技术进行了大规模基因表达谱分析对具有不同R基因且对水稻白叶枯病和稻瘟病具有不同抗性谱的等基因系附近的水稻进行比较分析；在研究中，成功​​建立了cDNA微阵列技术。构建了两套水稻cDNA微阵列，一套包含接种了不相容的病原体（Pi Chip）的水稻品系的10,000多个cDNA克隆，另一套包含来自9种水稻系的白枯病菌接种后的14个减法文库的9,000多个cDNA克隆（ Xa Chip）。对微阵列数据的统计分析确定了一组分类器基因，其表达谱可用于区分对水稻疾病的抗性（R）与敏感（S）表型。层次聚类证明了基因表达谱和抗性谱之间的关系。除了植物cDNA微阵列分析中经常使用的聚类分析外，人类疾病研究中使用的类别预测分析技术还被用于研究植物抗病性相关的表型。无监督和有监督的比较方法的共同努力揭示了基因表达谱与抗性表型甚至抗性谱之间的相关性。这为以下观点提供了支持：全局转录重编程是抗病性的重要策略，不同的信号转导途径可能导致不同的基因表达模式。比较基因表达分析鉴定了数百个水稻抗病相关基因，阐明了水稻的抗病机理，丰富了工程水稻抗病基因库。在该研究中发现了一些以前在植物抗病性研究中从未发现的基因。定量PCR被用于确认微阵列数据并进行所选候选防御信号调节因子基因的动力学表达分析。通过这些基因在转基因拟南芥中的快速功能测试获得的有希望的结果证明了微阵列分析在鉴定水稻抗病性调节剂中的价值。

著录项

  • 作者

    Zeng, Naiyan.;

  • 作者单位

    The Chinese University of Hong Kong (People's Republic of China).;

  • 授予单位 The Chinese University of Hong Kong (People's Republic of China).;
  • 学科 Biology Molecular.; Agriculture Plant Pathology.
  • 学位 Ph.D.
  • 年度 2005
  • 页码 268 p.
  • 总页数 268
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类 分子遗传学;植物病理学;
  • 关键词

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