Decoding and reengineering the promoter specificity of T7-like RNA polymerases based on phage genome sequences.

IF 13.1 2区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Nucleic Acids Research Pub Date : 2025-02-27 DOI:10.1093/nar/gkaf140
Jinwei Zhu, Ziming Liu, Chunbo Lou, Quan Chen, Haiyan Liu
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Abstract

The single subunit RNA polymerases (ssRNAPs) of bacteriophages are highly interesting targets for the prediction and engineering of specific protein-DNA interactions. Despite extensive existing studies focusing on particular ssRNAPs such as the T7 RNAP, few rules governing the protein-DNA sequence covariations across diverse ssRNAPs and their cognate promoters are clearly known. Here, aiming to reveal such rules, we comprehensively mined promoters of various categories of ssRNAPs from phage genomes. For T7-like RNAPs, direct coupling analyses of the predicted set of RNAP-promoter pairs revealed that the interaction specificity was dominantly encoded by the amino acid and nucleotide residues at only a few key positions. The covariations between the amino acid and the nucleotide residues at these positions were summarized into a sparsely connected network. Using experimentally verified connections in this network, we designed a set of orthogonal T7 RNAP-promoter variants that showed more stringent orthogonality than previously reported sets. We further designed and experimentally verified variants with novel interactions. These results provided guidance for engineering novel RNAP-promoter pairs for synthetic biology or other applications. Our study also demonstrated the use of comprehensive genome mining in combination with sequence covariation analysis in the prediction and engineering of specific protein-DNA interactions.

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基于噬菌体基因组序列的t7样RNA聚合酶启动子特异性解码与重组
噬菌体的单亚基RNA聚合酶(ssrnap)是预测和设计特定蛋白质- dna相互作用的非常有趣的靶标。尽管现有的大量研究集中于特定的ssrnap,如T7 RNAP,但很少有规则明确地知道不同ssrnap及其同源启动子之间的蛋白质- dna序列共变异。为了揭示这一规律,我们从噬菌体基因组中全面挖掘了各类ssrnap的启动子。对于t7样rnap,对预测组rnap -启动子对的直接耦合分析显示,相互作用特异性主要由少数关键位置的氨基酸和核苷酸残基编码。这些位置的氨基酸和核苷酸残基之间的协变被总结成一个稀疏连接的网络。利用该网络中经过实验验证的连接,我们设计了一组正交的T7 rnap启动子变体,其显示出比先前报道的集合更严格的正交性。我们进一步设计并实验验证了具有新相互作用的变体。这些结果为在合成生物学或其他应用中设计新的rna启动子对提供了指导。我们的研究还证明了综合基因组挖掘与序列共变分析相结合在特定蛋白质- dna相互作用的预测和工程中的应用。
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来源期刊
Nucleic Acids Research
Nucleic Acids Research 生物-生化与分子生物学
CiteScore
27.10
自引率
4.70%
发文量
1057
审稿时长
2 months
期刊介绍: Nucleic Acids Research (NAR) is a scientific journal that publishes research on various aspects of nucleic acids and proteins involved in nucleic acid metabolism and interactions. It covers areas such as chemistry and synthetic biology, computational biology, gene regulation, chromatin and epigenetics, genome integrity, repair and replication, genomics, molecular biology, nucleic acid enzymes, RNA, and structural biology. The journal also includes a Survey and Summary section for brief reviews. Additionally, each year, the first issue is dedicated to biological databases, and an issue in July focuses on web-based software resources for the biological community. Nucleic Acids Research is indexed by several services including Abstracts on Hygiene and Communicable Diseases, Animal Breeding Abstracts, Agricultural Engineering Abstracts, Agbiotech News and Information, BIOSIS Previews, CAB Abstracts, and EMBASE.
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