Transcriptome Profiling of Dehydration Stress in the Chinese Cabbage (Brassica rapa L. ssp pekinensis) by Tag Sequencing

被引:39
|
作者
Yu, Shuancang [1 ]
Zhang, Fenglan [1 ]
Yu, Yangjun [1 ]
Zhang, Deshuang [1 ]
Zhao, Xiuyun [1 ]
Wang, Wenhong [1 ]
机构
[1] BAAFS, BVRC, Beijing 100097, Peoples R China
关键词
Brassica rapa; Dehydration stress; Transcriptome profiling; Solexa Illumina; Tag sequencing; MONITORING EXPRESSION PROFILES; HIGH-SALINITY STRESSES; GENE-EXPRESSION; ABIOTIC STRESSES; DROUGHT STRESS; WATER-DEFICIT; COLD; RESPONSES; MICROARRAY; GENOTYPES;
D O I
10.1007/s11105-011-0313-6
中图分类号
Q5 [生物化学];
学科分类号
071010 ; 081704 ;
摘要
Chinese cabbage (Brassica rapa L. ssp. pekinensis) is a vegetable crop with high water requirement and is adversely affected by drought during cultivation. A genome-wide transcription analysis in response to drought is essential to provide effective genetic engineering strategies to improve stress tolerance in crop plants. To gain a deeper understanding of the mechanisms of drought tolerance in B. rapa, we conducted the first genome-wide analysis of gene expression during a drought model using tag sequencing with a Solexa Illumina array. Leaf samples at four time points, 0 day, 1 day, 2 days, and 3 days after dehydration treatment, were taken from a B. rapa DH line, T12-19, and the corresponding RNA was used to construct the expression libraries. The total number of tags per library ranged from 5.6 to 7.6 million and, among these, 13,036, 12,472, 12,774, and 12,227 distinct clean tags for the four respective libraries were unambiguously mapped to a publicly available unigene database. The analysis of differentially expressed genes revealed that 1,092 genes were significantly altered in response to water deficit. In this set of genes, we found 37 transcription factors, 28 genes involved in signal transduction, and 61 water- and osmosensing-responsive genes. Overall, the tag sequencing analyses demonstrated a high degree of transcriptional complexity in response to dehydration stress and represents a considerable improvement over microarray data in the large-scale analysis of transcriptional changes.
引用
收藏
页码:17 / 28
页数:12
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