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一个基因组规模的图谱揭示了古菌中转录和翻译的复杂相互作用。

A Genome-Scale Atlas Reveals Complex Interplay of Transcription and Translation in an Archaeon.

机构信息

Department of Biochemistry and Immunology, Ribeirão Preto Medical School, University of São Paulo, Ribeirão Preto, Brazil.

Institute for Systems Biology, Seattle, Washington, USA.

出版信息

mSystems. 2023 Apr 27;8(2):e0081622. doi: 10.1128/msystems.00816-22. Epub 2023 Mar 13.

DOI:10.1128/msystems.00816-22
PMID:36912639
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC10134880/
Abstract

The scale of post-transcriptional regulation and the implications of its interplay with other forms of regulation in environmental acclimation are underexplored for organisms of the domain . Here, we have investigated the scale of post-transcriptional regulation in the extremely halophilic archaeon Halobacterium salinarum NRC-1 by integrating the transcriptome-wide locations of transcript processing sites (TPSs) and SmAP1 binding, the genome-wide locations of antisense RNAs (asRNAs), and the consequences of RNase_2099C knockout on the differential expression of all genes. This integrated analysis has discovered that 54% of all protein-coding genes in the genome of this haloarchaeon are likely targeted by multiple mechanisms for putative post-transcriptional processing and regulation, with about 20% of genes likely being regulated by combinatorial schemes involving SmAP1, asRNAs, and RNase_2099C. Comparative analysis of mRNA levels (transcriptome sequencing [RNA-Seq]) and protein levels (sequential window acquisition of all theoretical fragment ion spectra mass spectrometry [SWATH-MS]) for 2,579 genes over four phases of batch culture growth in complex medium generated additional evidence for the conditional post-transcriptional regulation of 7% of all protein-coding genes. We demonstrate that post-transcriptional regulation may act to fine-tune specialized and rapid acclimation to stressful environments, e.g., as a switch to turn on gas vesicle biogenesis to promote vertical relocation under anoxic conditions and modulate the frequency of transposition by insertion sequence (IS) elements of the IS/IS, IS, and IS families. Findings from this study are provided as an atlas in a public Web resource (https://halodata.systemsbiology.net). While the transcriptional regulation landscape of archaea has been extensively investigated, we currently have limited knowledge about post-transcriptional regulation and its driving mechanisms in this domain of life. In this study, we collected and integrated omics data from multiple sources and technologies to infer post-transcriptionally regulated genes and the putative mechanisms modulating their expression at the protein level in Halobacterium salinarum NRC-1. The results suggest that post-transcriptional regulation may drive environmental acclimation by regulating hallmark biological processes. To foster discoveries by other research groups interested in the topic, we extended our integrated data to the public in the form of an interactive atlas (https://halodata.systemsbiology.net).

摘要

在环境适应过程中,转录后调控的规模及其与其他调控形式相互作用的意义,对于域生物来说还未得到充分探索。在这里,我们通过整合转录组范围内的转录加工位点(TPS)和 SmAP1 结合的位置、全基因组范围内的反义 RNA(asRNA)的位置,以及 RNase_2099C 敲除对所有基因差异表达的影响,研究了极端嗜盐古菌盐沼盐杆菌 NRC-1 的转录后调控规模。综合分析发现,该嗜盐古菌基因组中 54%的蛋白质编码基因可能受到多种潜在转录后加工和调控机制的靶向调控,约 20%的基因可能受到涉及 SmAP1、asRNA 和 RNase_2099C 的组合调控方案的调控。在复杂培养基中四个批次培养阶段对 2579 个基因的 mRNA 水平(转录组测序 [RNA-Seq])和蛋白水平(全理论片段离子谱质谱法的顺序窗口采集 [SWATH-MS])进行比较分析,为所有蛋白质编码基因的 7%的条件性转录后调控提供了额外的证据。我们证明,转录后调控可能有助于精细调节对压力环境的特殊和快速适应,例如,作为一种开关,开启气室生物发生以促进缺氧条件下的垂直迁移,并通过插入序列(IS)元件的插入序列(IS)、IS 和 IS 家族调节转位频率。本研究的结果作为公共网络资源(https://halodata.systemsbiology.net)中的图谱提供。虽然古菌的转录调控景观已经得到了广泛的研究,但我们目前对生命领域的转录后调控及其驱动机制知之甚少。在这项研究中,我们收集并整合了来自多个来源和技术的组学数据,以推断盐沼盐杆菌 NRC-1 中受转录后调控的基因及其在蛋白质水平上调节其表达的潜在机制。结果表明,转录后调控可能通过调节标志性生物过程来驱动环境适应。为了促进其他对该主题感兴趣的研究小组的发现,我们以交互图谱的形式将我们的综合数据扩展到了公众(https://halodata.systemsbiology.net)。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f039/10134880/8ef8119d3da2/msystems.00816-22-f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f039/10134880/472f621ea62f/msystems.00816-22-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f039/10134880/e6de630f4f56/msystems.00816-22-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f039/10134880/ca744b666bc4/msystems.00816-22-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f039/10134880/7199cc2aecf6/msystems.00816-22-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f039/10134880/3ed796f04eb1/msystems.00816-22-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f039/10134880/87890552b8e9/msystems.00816-22-f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f039/10134880/8ef8119d3da2/msystems.00816-22-f007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f039/10134880/472f621ea62f/msystems.00816-22-f001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f039/10134880/e6de630f4f56/msystems.00816-22-f002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f039/10134880/ca744b666bc4/msystems.00816-22-f003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f039/10134880/7199cc2aecf6/msystems.00816-22-f004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f039/10134880/3ed796f04eb1/msystems.00816-22-f005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f039/10134880/87890552b8e9/msystems.00816-22-f006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/f039/10134880/8ef8119d3da2/msystems.00816-22-f007.jpg

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