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Extensive natural variation in bacterial ribosomal drug-binding sites

  • Chinenye L. Ekemezie
  • , Lewis I. Chan
  • , Charlotte R. Brown
  • , Karla Helena-Bueno
  • , Tom A. Williams
  • , Sergey V. Melnikov
  • Newcastle University
  • University of Bristol

Research output: Contribution to journalArticlepeer-review

1   Link opens in a new tab Citation (SciVal)

Abstract

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.
Original languageEnglish
Article number115878
JournalCell Reports
Volume44
Issue number7
Early online date17 Jun 2025
DOIs
Publication statusPublished - 22 Jul 2025

Bibliographical note

Publisher Copyright:
© 2025 The Authors

Data Availability Statement

Materials availability
The data generated in this study have been deposited in FigShare and are available at https://doi.org/10.6084/m9.figshare.27370026.v1/.

Data and code availability
- 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. f igshare.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.

Acknowledgements

We thank members of Melnikov lab for their help in the preparation of this manuscript and Heath Murray, Katarzyna Mickiewicz, Robert Hirt, and Claudia Schneider (Newcastle University, UK) for their critical comments.

Funding

We thank members of Melnikov lab for their help in the preparation of this manuscript and Heath Murray, Katarzyna Mickiewicz, Robert Hirt, and Claudia Schneider (Newcastle University, UK) for their critical comments. This work was funded by the MRC Discovery Medicine North Doctoral Training Partnership ( MR/N013840/1 to C.L.E.), the BBSRC UK Doctoral Training Partnership ( BB/T008695/1 to C.R.B. and L.I.C.), the Newcastle University NUORS 2021 Award to K.H.-B., and the Royal Society ( RGS/R2/202003 ) to S.V.M.

FundersFunder number
Newcastle University
MRC Discovery Medicine North Doctoral Training PartnershipMR/N013840/1
Biotechnology and Biological Sciences Research CouncilBB/T008695/1
Royal SocietyRGS/R2/202003

Keywords

  • CP: Microbiology
  • antimicrobial resistance
  • rRNA sequence variation
  • ribosome
  • ribosome-targeting antibiotics

ASJC Scopus subject areas

  • General Biochemistry,Genetics and Molecular Biology

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