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The distinctive signatures of promoter regions and operon junctions across prokaryotes

机译:跨原核生物的启动子区域和操纵子连接的独特标志

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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.
机译:在这里,我们显示了第一个转录基因上游的区域具有寡核苷酸特征,使它们与操纵子中间基因的上游区域区分开。大多数基因组都不存在经过实验证实的转录单位的数据库。因此,为了将分析扩展到没有实验证实数据的基因组中,我们使用在进化距离遥远的基因组中相邻的保守基因作为操纵子内部基因的代表。同样,我们使用了不同转录的基因作为第一个转录基因的代表性实例。在模型生物中,这些代表性基因上游区域的三核苷酸标记可实现对操纵子的预测,其准确性接近于用已知操纵子数据获得的预测值(0.8)。基于签名的操纵子预测与预测的转录单位边界(TUB)相比,具有更相似的系统发生谱和同一路径中更高比例的基因。这些结果证实,我们正在将具有相关功能的基因(如操纵子所期望的)与未必具有相关性的基因(如在不同转录单位中的基因所期望的)分开。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,并表明签名预测的操纵子往往具有高度的表达相关性。寡核苷酸签名应扩大可用于识别操纵子的工具的数量,即使在特征欠佳的基因组中也是如此。

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