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Extensive natural variation in bacterial ribosomal drug-binding sites

Lookup NU author(s): Chinenye Ekemezie, Lewis Chan, Charlotte Brown, Karla Helena Bueno, Dr Sergey MelnikovORCiD

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This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Abstract

© 2025 The Authors. Ribosomes from certain bacteria possess divergent drug-binding sites compared to those of Escherichia coli, leading to natural evasion or hypersensitivity to antibiotics. However, in the absence of systematic studies, it is unknown whether this divergence is rare or common among bacterial species. Here, we address this by reconstructing the evolutionary history of drug-binding residues in bacterial ribosomes. We find that many rRNA residues that are currently viewed as bacterial-specific features of ribosomal drug-binding sites are in fact conserved only in a subset of bacteria. Conversely, species with divergent drug-binding sites are widespread in nature, arising from ancient rRNA polymorphisms at the direct ribosome-drug interface. Using a few bacterial species harboring divergent drug-binding sites, we identify their intrinsic resistance to corresponding ribosome-targeting antibiotics. Overall, we reveal the extensive lineage-specific diversity of ribosomal drug-binding sites, offering a resource for developing more targeted antibiotics and enabling personalized drug selection for specific pathogens.


Publication metadata

Author(s): Ekemezie CL, Chan LI, Brown CR, Helena-Bueno K, Williams TA, Melnikov SV

Publication type: Article

Publication status: Published

Journal: Cell Reports

Year: 2025

Volume: 44

Issue: 7

Print publication date: 22/07/2025

Online publication date: 18/06/2025

Acceptance date: 30/05/2025

Date deposited: 25/06/2025

ISSN (print): 2639-1856

ISSN (electronic): 2211-1247

Publisher: Elsevier BV

URL: https://doi.org/10.1016/j.celrep.2025.115878

DOI: 10.1016/j.celrep.2025.115878

Data Access Statement: The cryo-EM map and structure of the 50S ribosomal subunit from S. fradiae have been deposited in the Protein Data Bank under accession numbers EMD-53347 (for the cryo-EM map) and PDB: 9QT5 (for the structure). Other data containing rRNA sequences described in this work were deposited in FigShare: https://doi.org/10.6084/m9.figshare.27370026.v1. The code used to analyze rRNA sequences was deposited in FigShare: https://doi.org/10.6084/m9.figshare.27370026.v1 as Data S8. Information about natural variation in ribosomal drug-binding residues for individual species is also available through this web interface: https://melnikovlab.com/check-your-species


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Funding

Funder referenceFunder name
BBSRC UK Doctoral Training Partnership (BB/T008695/1)
MRC Discovery Medicine North Doctoral Training Partnership (MR/N013840/1)
Newcastle University NUORS 2021 Award
Royal Society (RGS/R2/202003)

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