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基于DNA稳定性对微生物基因组序列中的启动子区域进行鉴定和注释。

Identification and annotation of promoter regions in microbial genome sequences on the basis of DNA stability.

作者信息

Rangannan Vetriselvi, Bansal Manju

机构信息

Molecular Biophysics Unit, Indian Institute of Science, Bangalore 560 012, India.

出版信息

J Biosci. 2007 Aug;32(5):851-62. doi: 10.1007/s12038-007-0085-1.

Abstract

Analysis of various predicted structural properties of promoter regions in prokaryotic as well as eukaryotic genomes had earlier indicated that they have several common features,such as lower stability, higher curvature and less bendability, when compared with their neighboring regions. Based on the difference in stability between neighboring upstream and downstream regions in the vicinity of experimentally determined transcription start sites, a promoter prediction algorithm has been developed to identify prokaryotic promoter sequences in whole genomes. The average free energy (E) over known promoter sequences and the difference (D) between E and the average free energy over the entire genome (G)are used to search for promoters in the genomic sequences. Using these cutoff values to predict promoter regions across entire Escherichia coli genome,we achieved a reliability of 70% when the predicted promoters were cross verified against the 960 transcription start sites (TSSs) listed in the Ecocyc database. Annotation of the whole E.coli genome for promoter region could be carried out with 49% accuracy. The method is quite general and it can be used to annotate the promoter regions of other prokaryotic genomes.

摘要

对原核生物和真核生物基因组中启动子区域各种预测结构特性的分析表明,与相邻区域相比,它们具有一些共同特征,如稳定性较低、曲率较高和可弯曲性较小。基于实验确定的转录起始位点附近相邻上游和下游区域稳定性的差异,开发了一种启动子预测算法,以识别全基因组中的原核生物启动子序列。已知启动子序列的平均自由能(E)以及E与整个基因组平均自由能(G)之间的差异(D)用于在基因组序列中搜索启动子。使用这些截止值预测整个大肠杆菌基因组中的启动子区域,当将预测的启动子与Ecocyc数据库中列出的960个转录起始位点(TSS)进行交叉验证时,我们获得了70%的可靠性。对整个大肠杆菌基因组的启动子区域进行注释的准确率可达49%。该方法具有通用性,可用于注释其他原核生物基因组的启动子区域。

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