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根据皮棉产量数据的重复性测验及显著性分析,从SG747(Gossypium hirsutum L.)和Giza75(Gossypium Barbadense L.)的回交自交系群体中选取高产组和低产组品系各3个材料,取这2组材料和其父母本开花后10 d的纤维进行芯片分析。比较芯片数据,获得了1508个差异表达基因。对这些差异表达基因进行聚类分析,结果显示高产组品系和低产组品系分别聚类在一起,符合基于田间数据分组的预期结果。利用Blast2GO软件对1508个差异表达基因进行Blast-Mapping-Annotation-KEGG分析,结果表明参与细胞质膜发育、过氧化物酶活性、抗逆和营养物质运输等生物学过程的基因最多。进一步利用RT-PCR分析,得到一系列与纤维品质和产量等性状密切相关的基因。研究结果为棉花高产基因工程和分子育种提供了丰富的基因资源。
According to the repeatability test and significance analysis of lint yield data, three materials were selected from the backcross inbred lines of SG747 (Gossypium hirsutum L.) and Giza75 (Gossypium barbadense L.) The two groups of materials and their parents 10 days after the flowering of the fiber for chip analysis. Compared with the chip data, obtained 1508 differentially expressed genes. Cluster analysis of these differentially expressed genes showed that the high-yielding lines and the low-yielding lines clustered together, respectively, in line with the expected results based on field data. Blast-Mapping-Annotation-KEGG analysis of 1508 differentially expressed genes using Blast2GO software showed that most of the genes involved in the biological processes of cell plasma membrane development, peroxidase activity, resistance and nutrient transport were the most. Further use of RT-PCR analysis, a series of genes closely related to fiber quality and yield traits were obtained. The results provide abundant genetic resources for cotton high yield genetic engineering and molecular breeding.