The Transcriptome of Brassica napus L. Roots under Waterlogging at the Seedling Stage.
The Transcriptome of Brassica napus L. Roots under Waterlogging at the Seedling Stage.
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苗期涝渍条件下甘蓝型油菜根的转录组分析
DOI：
10.3390/ijms14022637
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发表时间：
2013-01-28
影响因子：
5.6
通讯作者：
Zhang X
中科院分区：
文献类型：
--
作者：
Zou X;Tan X;Hu C;Zeng L;Lu G;Fu G;Cheng Y;Zhang X
虽然油菜（Brassica napus L.）虽然油菜耐涝性的遗传基础尚不清楚，但油菜耐涝性的遗传基础仍不清楚。本研究利用数字基因表达技术（Digital Gene Expression，DGE）分析了耐涝品种稻瘟9根在淹水0 h和12 h时的转录组。共鉴定出4432个差异表达基因，表明油菜对淹水胁迫的反应是复杂的。基于GO（Gene Ontology）的基因定位结果显示，淹水条件下，“氧化还原”、“次生代谢”、“转录调控”和“翻译调控”等4条途径的基因表达量均有所增加。对200个最高表达基因的分析表明，在正常条件下，144个基因被水淹下调，而在水淹下，多达191个基因是应激诱导的。淹水胁迫下相关基因的表达受转录、转录后、翻译和翻译后多个水平的调控，包括磷酸化和蛋白质降解，特别是蛋白质降解可能参与了淹水胁迫的负调控。我们的研究结果提供了新的见解，对水涝的反应，并将有助于确定重要的候选基因。
Although rapeseed (Brassica napus L.) is known to be affected by waterlogging, the genetic basis of waterlogging tolerance by rapeseed is largely unknown. In this study, the transcriptome under 0 h and 12 h of waterlogging was assayed in the roots of ZS9, a tolerant variety, using digital gene expression (DGE). A total of 4432 differentially expressed genes were identified, indicating that the response to waterlogging in rapeseed is complicated. The assignments of the annotated genes based on GO (Gene Ontology) revealed there were more genes induced under waterlogging in “oxidation reduction”, “secondary metabolism”, “transcription regulation”, and “translation regulation”; suggesting these four pathways are enhanced under waterlogging. Analysis of the 200 most highly expressed genes illustrated that 144 under normal conditions were down-regulated by waterlogging, while up to 191 under waterlogging were those induced in response to stress. The expression of genes involved under waterlogging is mediated by multiple levels of transcriptional, post-transcriptional, translational and post-translational regulation, including phosphorylation and protein degradation; in particular, protein degradation might be involved in the negative regulation in response to this stress. Our results provide new insight into the response to waterlogging and will help to identify important candidate genes.
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