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Iron Deprivation in Synechocystis: Inference of Pathways, Non-coding RNAs, and Regulatory Elements from Comprehensive Expression Profiling

机译:剥夺性囊藻中的铁剥夺:途径,非编码RNA和从综合表达分析的调控元素的推断。

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pIron is an essential cofactor in many metabolic reactions. Mechanisms controlling iron homeostasis need to respond rapidly to changes in extracellular conditions, but they must also keep the concentration of intracellular iron under strict control to avoid the generation of damaging reactive oxygen species. Due to its role as a redox carrier in photosynthesis, the iron quota in cyanobacteria is about 10 times higher than in model enterobacteria. The molecular details of how such a high quota is regulated are obscure. Here we present experiments that shed light on the iron regulatory system in cyanobacteria. We measured time-resolved changes in gene expression after iron depletion in the cyanobacterium iSynechocystis/i sp. PCC 6803 using a comprehensive microarray platform, monitoring both protein-coding and non-coding transcripts. In total, less than a fifth of all protein-coding genes were differentially expressed during the first 72 hr. Many of these proteins are associated with iron transport, photosynthesis, or ATP synthesis. Comparing our data with three previous studies, we identified a core set of 28 genes involved in iron stress response. Among them were genes important for assimilation of inorganic carbon, suggesting a link between the carbon and iron regulatory networks. Nine of the 28 genes have unknown functions and constitute key targets for further functional analysis. Statistical and clustering analyses identified 10 small RNAs, 62 antisense RNAs, four 5a€2UTRs, and seven intragenic elements as potential novel components of the iron regulatory network in iSynechocystis/i. Hence, our genome-wide expression profiling indicates an unprecedented complexity in the iron regulatory network of cyanobacteria./p
机译:铁是许多代谢反应中必不可少的辅助因子。控制铁稳态的机制需要对细胞外条件的变化迅速做出反应,但它们还必须保持细胞内铁的浓度处于严格控制之下,以避免产生有害的活性氧。由于其在光合作用中作为氧化还原载体,蓝细菌中的铁含量比模型肠细菌中的铁含量高约10倍。如何调节如此高的配额的分子细节尚不清楚。在这里,我们介绍了阐明蓝细菌中铁调节系统的实验。我们测量了蓝细菌 Synechocystis sp中铁耗竭后基因表达随时间变化的变化。 PCC 6803使用全面的微阵列平台,可监控蛋白质编码和非编码转录本。总体而言,在最初的72小时内,不到所有蛋白编码基因的五分之一被差异表达。这些蛋白质中的许多与铁运输,光合作用或ATP合成有关。将我们的数据与之前的三项研究进行比较,我们确定了一组涉及铁应激反应的28个基因的核心。其中有一些对于吸收无机碳很重要的基因,暗示了碳和铁调节网络之间的联系。 28个基因中有9个功能未知,并构成进一步功能分析的关键靶标。统计分析和聚类分析确定了10个小RNA,62个反义RNA,4个5a€2UTR和7个基因内元件,它们可能是铁孢囊藻铁调控网络中潜在的新成分。因此,我们的全基因组表达谱表明蓝细菌的铁调节网络中前所未有的复杂性。

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