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Development of a novel prediction method of cis-elements to hypothesize collaborative functions of cis-element pairs in iron-deficient rice

机译:推测缺铁水稻中顺式元素对协同功能的新型顺式元素预测方法的建立

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Background Cis -acting elements are essential genomic sequences that control gene expression. In higher eukaryotes, a series of cis -elements function cooperatively. However, further studies are required to examine the co-regulation of multiple cis -elements on a promoter. The aim of this study was to propose a model of cis -element networks that cooperatively regulate gene expression in rice under iron (Fe) deficiency. ResultsWe developed a novel clustering-free method, microarray-associated motif analyzer (MAMA), to predict novel cis -acting elements based on weighted sequence similarities and gene expression profiles in microarray analyses. Simulation of gene expression was performed using a support vector machine and based on the presence of predicted motifs and motif pairs. The accuracy of simulated gene expression was used to evaluate the quality of prediction and to optimize the parameters used in this method. Based on sequences of Oryza sativa genes upregulated by Fe deficiency, MAMA returned experimentally identified cis -elements responsible for Fe deficiency in O. sativa . When this method was applied to O. sativa subjected to zinc deficiency and Arabidopsis thaliana subjected to salt stress, several novel candidate cis -acting elements that overlap with known cis -acting elements, such as ZDRE, ABRE, and DRE, were identified. After optimization, MAMA accurately simulated more than 87% of gene expression. Predicted motifs strongly co-localized in the upstream regions of regulated genes and sequences around transcription start sites. Furthermore, in many cases, the separation (in bp) between co-localized motifs was conserved, suggesting that predicted motifs and the separation between them were important in the co-regulation of gene expression. ConclusionsOur results are suggestive of a typical sequence model for Fe deficiency-responsive promoters and some strong candidate cis -elements that function cooperatively with known cis -elements.
机译:背景顺式作用元件是控制基因表达的必需基因组序列。在高级真核生物中,一系列顺式元素协同作用。然而,需要进一步的研究来检查启动子上多个顺式元件的共同调节。这项研究的目的是提出一个顺式元件网络模型,该模型可协同调节铁(Fe)缺乏下水稻的基因表达。结果我们开发了一种新颖的无聚类方法,即微阵列相关基序分析仪(MAMA),可基于加权序列相似性和基因表达谱在微阵列分析中预测新颖的顺式作用元件。使用支持向量机并基于预测的基序和基序对的存在进行基因表达的模拟。模拟基因表达的准确性用于评估预测质量并优化此方法中使用的参数。根据铁缺乏上调的水稻基因序列,MAMA通过实验鉴定出了导致稻中铁缺乏的顺式元素。当将该方法应用于遭受缺锌的拟南芥和遭受盐胁迫的拟南芥时,鉴定了与已知的顺式作用元件重叠的几种新颖的候选顺式作用元件,例如ZDRE,ABRE和DRE。经过优化,MAMA可以准确模拟超过87%的基因表达。预测的基序强烈共定位在转录起始位点周围的受调控基因和序列的上游区域。此外,在许多情况下,共定位的基序之间的间隔(以bp为单位)得以保留,这表明预测的基序及其之间的间隔在基因表达的共调控中很重要。结论我们的结果表明,铁缺乏反应性启动子的典型序列模型以及与已知顺式元素协同起作用的一些强候选顺式元素。

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