甘蔗是经济和环境上日益重要的C4作物,干旱在全球范围内严重限制甘蔗产量。了解甘蔗对水分胁迫反应的分子机制将有助于甘蔗抗旱性的分子遗传改良。利用基因芯片技术分析水分胁迫下甘蔗叶片的15 593个基因的表达谱,结果表明,中、重度胁迫下的差异表达基因数量分别为300个和853个,中度胁迫中差异基因以上调表达为主,重度胁迫中下调表达占多数。功能注释分析显示,差异表达基因分子功能主要为结合、载体和催化活性,主要参与代谢、细胞和生物调控等生物过程。此外,功能未明确的假定蛋白和无匹配信息的基因序列仍占据注释结果的相当一部分,表明还有大量的基因尚待发掘。在水分胁迫下,甘蔗内源ABA和IAA含量显著上升而GA含量显著受到抑制。以参与生物进程分类,对植物激素相关基因进行筛选并分析,发现激素响应表达基因代谢途径具有多样性,显示了激素代谢网络的交叉性与复杂性。挑选9个差异表达程度不同的基因进行实时荧光定量PCR检测,表明芯片数据具有良好的重复性。 Sugar cane is an economically and environmentally increasingly important C4 crop, and droughts severely limit sugar cane production worldwide. Understanding the molecular mechanism of sugarcane response to water stress will contribute to molecular genetic improvement of drought resistance in sugarcane. The gene expression profiles of 15 593 genes in sugarcane leaves under water stress were analyzed by gene chip technique. The results showed that the number of differentially expressed genes in medium and severe stress was 300 and 853, respectively. The moderately stressed genes were up-regulated to The main, severe stress in the majority of down-regulated expression. Functional annotation analysis showed that the molecular function of differentially expressed genes is mainly binding, carrier and catalytic activity, which is mainly involved in biological processes such as metabolism, cell and biological regulation. In addition, hypothetical proteins with unknown functions and those without matching information still account for a significant portion of the annotation results, indicating that a large number of genes remain to be discovered. Under water stress, the contents of ABA and IAA in sugarcane were significantly increased and GA content was significantly inhibited. To participate in the classification of biological processes, the plant hormone-related genes were screened and analyzed, and found that hormone-responsive gene expression has a variety of metabolic pathways, showing the cross-sex hormone metabolism and complexity of the network. Nine genes with different expression levels were selected for real-time fluorescence quantitative PCR, which showed that the data of the chip had good repeatability.