Kopf Matthias, Klähn Stephan, Scholz Ingeborg, Matthiessen Jasper K F, Hess Wolfgang R, Voß Björn
Genetics and Experimental Bioinformatics, Faculty of Biology, University of Freiburg, Schänzlestr. 1, Freiburg 79104, Germany.
Genetics and Experimental Bioinformatics, Faculty of Biology, University of Freiburg, Schänzlestr. 1, Freiburg 79104, Germany
DNA Res. 2014 Oct;21(5):527-39. doi: 10.1093/dnares/dsu018. Epub 2014 Jun 16.
RNA-seq and especially differential RNA-seq-type transcriptomic analyses (dRNA-seq) are powerful analytical tools, as they not only provide insights into gene expression changes but also provide detailed information about all promoters active at a given moment, effectively giving a deep insight into the transcriptional landscape. Synechocystis sp. PCC 6803 (Synechocystis 6803) is a unicellular model cyanobacterium that is widely used in research fields from ecology, photophysiology to systems biology, modelling and biotechnology. Here, we analysed the response of the Synechocystis 6803 primary transcriptome to different, environmentally relevant stimuli. We established genome-wide maps of the transcriptional start sites active under 10 different conditions relevant for photosynthetic growth and identified 4,091 transcriptional units, which provide information about operons, 5' and 3' untranslated regions (UTRs). Based on a unique expression factor, we describe regulons and relevant promoter sequences at single-nucleotide resolution. Finally, we report several sRNAs with an intriguing expression pattern and therefore likely function, specific for carbon depletion (CsiR1), nitrogen depletion (NsiR4), phosphate depletion (PsiR1), iron stress (IsaR1) or photosynthesis (PsrR1). This dataset is accompanied by comprehensive information providing extensive visualization and data access to allow an easy-to-use approach for the design of experiments, the incorporation into modelling studies of the regulatory system and for comparative analyses.
RNA测序,尤其是差异RNA测序类型的转录组分析(dRNA测序),是强大的分析工具,因为它们不仅能深入了解基因表达变化,还能提供给定时刻所有活跃启动子的详细信息,从而有效地深入洞察转录景观。集胞藻PCC 6803(集胞藻6803)是一种单细胞模式蓝细菌,广泛应用于从生态学、光生理学到系统生物学、建模和生物技术等研究领域。在此,我们分析了集胞藻6803初级转录组对不同的、与环境相关刺激的反应。我们建立了在与光合生长相关的10种不同条件下活跃的转录起始位点的全基因组图谱,并鉴定出4091个转录单元,这些单元提供了有关操纵子、5'和3'非翻译区(UTR)的信息。基于一个独特的表达因子,我们以单核苷酸分辨率描述了调控子和相关启动子序列。最后,我们报告了几种具有有趣表达模式且可能具有特定功能的小RNA,它们分别特异性地响应碳饥饿(CsiR1)、氮饥饿(NsiR4)、磷饥饿(PsiR1)、铁胁迫(IsaR1)或光合作用(PsrR1)。该数据集还附带了全面的信息,提供广泛的可视化和数据访问,以便于采用易于使用的方法来设计实验、纳入调控系统的建模研究以及进行比较分析。