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比较基因组学和转录调控因子在 中的进化。

Comparative genomics and evolution of transcriptional regulons in .

机构信息

1​A. A. Kharkevich Institute for Information Transmission Problems, Russian Academy of Sciences, Moscow, Russia.

2​Lawrence Berkeley National Laboratory, Berkeley, CA 94720, USA.

出版信息

Microb Genom. 2016 Jul 11;2(7):e000061. doi: 10.1099/mgen.0.000061. eCollection 2016 Jul.

Abstract

Comparative genomics approaches are broadly used for analysis of transcriptional regulation in bacterial genomes. In this work, we identified binding sites and reconstructed regulons for 33 orthologous groups of transcription factors (TFs) in 196 reference genomes from 21 taxonomic groups of . Overall, we predict over 10 600 TF binding sites and identified more than 15 600 target genes for 1896 TFs constituting the studied orthologous groups of regulators. These include a set of orthologues for 21 metabolism-associated TFs from and/or that are conserved in five or more taxonomic groups and several additional TFs that represent non-orthologous substitutions of the metabolic regulators in some lineages of . By comparing gene contents of the reconstructed regulons, we identified the core, taxonomy-specific and genome-specific TF regulon members and classified them by their metabolic functions. Detailed analysis of ArgR, TyrR, TrpR, HutC, HypR and other amino-acid-specific regulons demonstrated remarkable differences in regulatory strategies used by various lineages of . The obtained genomic collection of reconstructed TF regulons contains a large number of new regulatory interactions that await future experimental validation. The collection provides a framework for future evolutionary studies of transcriptional regulatory networks in . It can be also used for functional annotation of putative metabolic transporters and enzymes that are abundant in the reconstructed regulons.

摘要

比较基因组学方法广泛应用于分析细菌基因组中的转录调控。在这项工作中,我们在 21 个分类群的 196 个参考基因组中鉴定了 33 组同源转录因子 (TF) 的结合位点并重建了它们的调控网络。总的来说,我们预测了超过 10600 个 TF 结合位点,并确定了 1896 个 TF 的 15600 多个靶基因,这些 TF 构成了所研究的调控同源物。其中包括一组来自 和/或 的 21 个与代谢相关的 TF 的同源物,它们在五个或更多的分类群中保守,还有几个额外的 TF 代表代谢调控因子在一些 的进化枝中的非同源替换。通过比较重建调控网络的基因含量,我们鉴定了核心、分类群特异性和基因组特异性的 TF 调控网络成员,并根据其代谢功能对它们进行了分类。对 ArgR、TyrR、TrpR、HutC、HypR 和其他氨基酸特异性调控网络的详细分析表明,不同的进化枝在使用的调控策略上存在显著差异。所获得的 重建 TF 调控网络的基因组集合包含大量有待未来实验验证的新调控相互作用。该集合为未来 的转录调控网络的进化研究提供了一个框架。它也可用于重建调控网络中丰富的假定代谢转运蛋白和酶的功能注释。

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