Evidence map›Paper›PMID 40272361›Full record

ArticleNucleic acids research2025

Molecular basis of Streptomyces ECF σShbA factors transcribing principal σHrdB genes.

Guiyang Liu, Xu Yang, Wenjin Yan, Yiqun Wang, Feng Yu, Jianting Zheng

Abstract read
In one paragraph

Article in Nucleic acids research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Transcriptional analysis of genes associated with glycolysis in Streptomyces coelicolor M145.International microbiology : the official journal of the Spanish Society for Microbiology · 2025
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

6 authors.

Guiyang LiuState Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.ORCID 0000-0003-1250-3556
Xu YangState Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Wenjin YanState Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Yiqun WangState Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Feng YuState Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.
Jianting ZhengState Key Laboratory of Microbial Metabolism, School of Life Sciences and Biotechnology, Shanghai Jiao Tong University, Shanghai 200240, China.

Funding

National Key Research and Development Program of China 2020YFA0907900National Natural Science Foundation of China 32370071
6 · The paper itself

Abstract

In bacteria, principal σ factors (σ70 or σA) transcribe housekeeping genes required for cell viability. Although most principal σ genes are transcribed by the RNA polymerase (RNAP) holoenzyme containing the principal σ factor itself, an extracytoplasmic function (ECF) σ factor (σShbA) governs transcription of the principal σ factor gene (hrdB) in two model Streptomycetes. Here, we employed a combination of cryo-electron microscopy (cryo-EM) and bioinformatics to decipher how σShbA-RNAP holoenzymes govern the transcription of hrdB genes in Streptomyces. A cryo-EM structure of Streptomyces coelicolor σShbA-RNAP-promoter open (RPo) complex was solved at 2.97 Å resolution. In combination with in vitro transcription assays, we demonstrate the unique structural features used by the σShbA to recognize the hrdB promoter and form a transcription bubble. All Streptomyces genomes (603) tagged as 'reference' were retrieved from NCBI Datasets. The conserved protein sequences and genomic neighborhoods, as well as the promoter consensus sequences of σShbA and σHrdB homologs, support that the principal σHrdB being governed by the ECF σShbA is a common feature in Streptomyces. Overall, these results provide detailed molecular insights into the transcription of the principal σHrdB gene and pave the way for globally modulating Streptomyces cell viability.

Indexed as

Bacterial ProteinsSigma FactorStreptomyces coelicolorTranscription, GeneticCryoelectron MicroscopyDNA-Directed RNA PolymerasesGene Expression Regulation, BacterialModels, MolecularPromoter Regions, GeneticStreptomycesBacterial ProteinsDNA-Directed RNA PolymerasesSigma Factor

Identifiers

PMID40272361
PMCPMC12019637

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.