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原核生物中启动子区域和操纵子连接的独特特征。

The distinctive signatures of promoter regions and operon junctions across prokaryotes.

作者信息

Janga Sarath Chandra, Lamboy Warren F, Huerta Araceli M, Moreno-Hagelsieb Gabriel

机构信息

Department of Biology, Wilfrid Laurier University, 75 University Avenue West, Waterloo, ON, Canada, N2L 3C5.

出版信息

Nucleic Acids Res. 2006;34(14):3980-7. doi: 10.1093/nar/gkl563. Epub 2006 Aug 12.

Abstract

Here we show that regions upstream of first transcribed genes have oligonucleotide signatures that distinguish them from regions upstream of genes in the middle of operons. Databases of experimentally confirmed transcription units do not exist for most genomes. Thus, to expand the analyses into genomes with no experimentally confirmed data, we used genes conserved adjacent in evolutionarily distant genomes as representatives of genes inside operons. Likewise, we used divergently transcribed genes as representative examples of first transcribed genes. In model organisms, the trinucleotide signatures of regions upstream of these representative genes allow for operon predictions with accuracies close to those obtained with known operon data (0.8). Signature-based operon predictions have more similar phylogenetic profiles and higher proportions of genes in the same pathways than predicted transcription unit boundaries (TUBs). These results confirm that we are separating genes with related functions, as expected for operons, from genes not necessarily related, as expected for genes in different transcription units. We also test the quality of the predictions using microarray data in six genomes and show that the signature-predicted operons tend to have high correlations of expression. Oligonucleotide signatures should expand the number of tools available to identify operons even in poorly characterized genomes.

摘要

我们在此表明,首个转录基因上游区域具有寡核苷酸特征,这些特征将它们与操纵子中间基因上游区域区分开来。大多数基因组不存在经实验确认的转录单元数据库。因此,为了将分析扩展到没有经实验确认数据的基因组,我们使用在进化距离较远的基因组中相邻保守的基因作为操纵子内基因的代表。同样,我们使用反向转录的基因作为首个转录基因的代表性例子。在模式生物中,这些代表性基因上游区域的三核苷酸特征使得操纵子预测的准确率接近使用已知操纵子数据所获得的准确率(0.8)。基于特征的操纵子预测比预测的转录单元边界(TUBs)具有更相似的系统发育谱,且同一途径中的基因比例更高。这些结果证实,正如操纵子所预期的那样,我们正在将具有相关功能的基因与不一定相关的基因区分开来,后者是不同转录单元中的基因所预期的情况。我们还使用六个基因组中的微阵列数据测试了预测的质量,并表明基于特征预测的操纵子往往具有较高的表达相关性。寡核苷酸特征应能增加可用于识别操纵子的工具数量,即使在特征描述不佳的基因组中也是如此。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/e048/1557821/2164a4599c54/gkl563f1.jpg

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