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Comparative profiling of the transcriptional response to soybean cyst nematode infection of soybean roots by deep sequencing

查看全文 作　　者：LI [1,2]XiaoYan;WANG [3]Xue;ZHANG [1,2]ShaoPeng;LIU [3]DaWei;DUAN [3]YuXi;DONG [4]Wei 高影响力作者 机构地区：[1]Beijing Institute of Genomics, Chinese Academy of Sciences, Beijing 100029, China;[2]Graduate University of Chinese Academy of Sciences, Beijing 100049, China;[3]Nematology Institute of Northern China, Shenyang Agricultural University, Shenyang 110866, China;[4]Beijing Genomics Institute, Hangzhou 310008, China高影响力机构 出　　处：《Chinese Science Bulletin》索引2011年第56卷第18期,共8页高影响力期刊 基　　金：supported by the National Natural Science Foundation of China (30392100) 摘　　要：To gain insight into the changes in the transcriptome of soybean roots during soybean cyst nematode (SCN) infection, we conducted genome-wide gene expression profiling using serial analysis of gene expression (SAGE) combined with Solexa sequencing. More than 3 million tags were generated from the SCN-infected and uninfected roots, and 366941 and 314591 clean UniTags were obtained from SCN-infected and uninfected samples, respectively. In the SCN-infected sample, 48249 UniTags represented 18114 reference genes. In the uninfected control, 46290 UniTags represented 19323 reference genes. Comparison of tag frequencies identified 1405 genes that were expressed at greater levels in SCN-infected roots than in uninfected roots, and 1191 genes that were expressed at lower levels. Quantitative real-time PCR analyses confirmed the changes in mRNA levels observed in our sequencing analyses. A comparable number of genes were upand down-regulated in response to nematode infection, indicating that down-regulation of some genes might be essential in the plant response to nematodes. Our SAGE results showed significant changes in expression of many unreported genes involved in nematode infection. Approximately 7% of tags mapped to the antisense strand of genes, indicating widespread antisense transcription. 关 键 词：大豆孢囊线虫 线虫感染 测序分析 转录 根系深度 基因表达分析 反应 MRNA水平
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