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Convergent MurJ flippase inhibition by phage lysis proteins

Abstract

Antimicrobial drug resistance poses a global health challenge that necessitates the identification of new druggable targets1,2,3. The essential lipid II flippase MurJ is a promising yet underexplored antimicrobial target in bacterial cell wall biosynthesis4,5,6,7. The only known inhibitors of Gram-negative (diderm) MurJ are the single-gene lysis proteins (Sgls) from the lytic single-strand RNA phages M (SglM) and PP7 (SglPP7)8,9. SglM and SglPP7 have distinct evolutionary origins and share no sequence similarity. Here we describe a common mechanism of MurJ inhibition by these phage-encoded Sgls. We determined the structures of MurJ-bound SglM and SglPP7 and discovered a third distinct MurJ-targeting Sgl from the predicted phage Changjiang3 (SglCJ3) that we also characterized structurally. Our findings demonstrate that all three Sgls evolved convergently to trap MurJ in a periplasm-open conformation through a common MurJ interface, revealing a pathway for drug design.

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Fig. 1: Structure of the SglMEcMurJ complex.
Fig. 2: Structure of the SglPP7EcMurJ complex.
Fig. 3: Discovery of SglCJ3 and structure of the SglCJ3EcMurJ complex.
Fig. 4: Comparison of Sgl-bound MurJ structures.

Data availability

Atomic coordinates of SglM–MurJ, SglPP7–MurJ and SglCJ3–MurJ are deposited at the Protein Data Bank (PDB) with accession codes 9NU4, 9NU5 and 9NU8, respectively. Cryo-EM maps of SglM–MurJ, SglPP7–MurJ and SglCJ3–MurJ are deposited at the Electron Microscopy Data Bank (EMDB) with accession codes EMDB-49796, EMDB-49797 and EMDB-49798, respectively.  Source data are provided with this paper.

Code availability

The code used for microscopy analysis of lysis morphology is available from GitHub at https://github.com/AntillonF/bleb_statistical_analysis.git.

References

  1. Murray, C. J. L. et al. Global burden of bacterial antimicrobial resistance in 2019: a systematic analysis. Lancet 399, 629–655 (2022).

    Article  CAS  Google Scholar 

  2. Naghavi, M. et al. Global burden of bacterial antimicrobial resistance 1990–2021: a systematic analysis with forecasts to 2050. Lancet 404, 1199–1226 (2024).

    Article  Google Scholar 

  3. Cook, M. A. & Wright, G. D. The past, present, and future of antibiotics. Sci. Transl. Med. 14, eabo7793 (2022).

    Article  CAS  PubMed  Google Scholar 

  4. Bugg, T. D. H., Braddick, D., Dowson, C. G. & Roper, D. I. Bacterial cell wall assembly: still an attractive antibacterial target. Trends Biotechnol. 29, 167–173 (2011).

    Article  CAS  PubMed  Google Scholar 

  5. Lovering, A. L., Safadi, S. S. & Strynadka, N. C. J. Structural perspective of peptidoglycan biosynthesis and assembly. Annu. Rev. Biochem. 81, 451–478 (2012).

    Article  CAS  PubMed  Google Scholar 

  6. Theuretzbacher, U., Blasco, B., Duffey, M. & Piddock, L. J. V. Unrealized targets in the discovery of antibiotics for Gram-negative bacterial infections. Nat. Rev. Drug Discov. 22, 957–975 (2023).

    Article  CAS  PubMed  Google Scholar 

  7. Sham, L.-T. et al. MurJ is the flippase of lipid-linked precursors for peptidoglycan biogenesis. Science 345, 220–222 (2014).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  8. Chamakura, K. R. et al. A viral protein antibiotic inhibits lipid II flippase activity. Nat. Microbiol. 2, 1480–1484 (2017).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  9. Adler, B. A. et al. Multicopy suppressor screens reveal convergent evolution of single-gene lysis proteins. Nat. Chem. Biol. 19, 759–766 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  10. Kuk, A. C. Y., Hao, A. & Lee, S.-Y. Structure and mechanism of the lipid flippase MurJ. Annu. Rev. Biochem. 91, 705–729 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  11. Kumar, S., Mollo, A., Kahne, D. & Ruiz, N. The bacterial cell wall: from lipid II flipping to polymerization. Chem. Rev. 122, 8884–8910 (2022).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  12. Kumar, S., Rubino, F. A., Mendoza, A. G. & Ruiz, N. The bacterial lipid II flippase MurJ functions by an alternating-access mechanism. J. Biol. Chem. 294, 981–990 (2019).

    Article  CAS  PubMed  Google Scholar 

  13. Kuk, A. C. Y., Mashalidis, E. H. & Lee, S.-Y. Crystal structure of the MOP flippase MurJ in an inward-facing conformation. Nat. Struct. Mol. Biol. 24, 171–176 (2017).

    Article  CAS  PubMed  Google Scholar 

  14. Zheng, S. et al. Structure and mutagenic analysis of the lipid II flippase MurJ from Escherichia coli. Proc. Natl Acad. Sci. USA 115, 201802192 (2018).

    Article  Google Scholar 

  15. Kuk, A. C. Y., Hao, A., Guan, Z. & Lee, S.-Y. Visualizing conformation transitions of the lipid II flippase MurJ. Nat. Commun. 10, 1736 (2019).

    Article  ADS  PubMed  PubMed Central  Google Scholar 

  16. Mott, J. E. et al. Resistance mapping and mode of action of a novel class of antibacterial anthranilic acids: evidence for disruption of cell wall biosynthesis. J. Antimicrob. Chemother. 62, 720–729 (2008).

    Article  CAS  PubMed  Google Scholar 

  17. Huber, J. et al. Chemical genetic identification of peptidoglycan inhibitors potentiating carbapenem activity against methicillin-resistant Staphylococcus aureus. Chem. Biol. 16, 837–848 (2009).

    Article  CAS  PubMed  Google Scholar 

  18. Chu, J. et al. Discovery of MRSA active antibiotics using primary sequence from the human microbiome. Nat. Chem. Biol. 12, 1004–1006 (2016).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  19. Chu, J. et al. Human microbiome inspired antibiotics with improved β-lactam synergy against MDR Staphylococcus aureus. ACS Infect. Dis. 4, 33–38 (2018).

    Article  CAS  PubMed  Google Scholar 

  20. Bernhardt, T. G., Wang, I.-N., Struck, D. K. & Young, R. Breaking free: ‘protein antibiotics’ and phage lysis. Res. Microbiol. 153, 493–501 (2002).

    Article  CAS  PubMed  Google Scholar 

  21. Cahill, J. & Young, R. Phage lysis: multiple genes for multiple barriers. Adv. Virus Res. 103, 33–70 (2019).

    Article  CAS  PubMed  Google Scholar 

  22. Chamakura, K. & Young, R. Phage single-gene lysis: finding the weak spot in the bacterial cell wall. J. Biol. Chem. 294, 3350–3358 (2019).

    Article  CAS  PubMed  Google Scholar 

  23. Chamakura, K. R. & Young, R. Single-gene lysis in the metagenomic era. Curr. Opin. Microbiol. 56, 109–117 (2020).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  24. Orta, A. K. et al. The mechanism of the phage-encoded protein antibiotic from ΦX174. Science 381, eadg9091 (2023).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  25. Chamakura, K. R. et al. Rapid de novo evolution of lysis genes in single-stranded RNA phages. Nat. Commun. 11, 6009 (2020).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  26. Shi, M. et al. Redefining the invertebrate RNA virosphere. Nature 540, 539–543 (2016).

    Article  ADS  CAS  PubMed  Google Scholar 

  27. Rumnieks, J. & Tars, K. Diversity of pili-specific bacteriophages: genome sequence of IncM plasmid-dependent RNA phage M. BMC Microbiol. 12, 277–277 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Bolla, J. R. et al. Direct observation of the influence of cardiolipin and antibiotics on lipid II binding to MurJ. Nat. Chem. 10, 363–371 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  29. Mukherjee, S. et al. Synthetic antibodies against BRIL as universal fiducial marks for single−particle cryoEM structure determination of membrane proteins. Nat. Commun. 11, 1598 (2020).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  30. Ereño-Orbea, J. et al. Structural basis of enhanced crystallizability induced by a molecular chaperone for antibody antigen-binding fragments. J. Mol. Biol. 430, 322–336 (2018).

    Article  PubMed  Google Scholar 

  31. Olsthoorn, R. C. L., Garde, G., Dayhuff, T., Atkins, J. F. & Van Duin, J. Nucleotide sequence of a single-stranded RNA phage from Pseudomonas aeruginosa: kinship to coliphages and conservation of regulatory RNA structures. Virology 206, 611–625 (1995).

    Article  CAS  PubMed  Google Scholar 

  32. Meeske, A. J. et al. MurJ and a novel lipid II flippase are required for cell wall biogenesis in Bacillus subtilis. Proc. Natl Acad. Sci. USA 112, 6437–6442 (2015).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  33. Butler, E. K., Davis, R. M., Bari, V., Nicholson, P. A. & Ruiz, N. Structure–function analysis of MurJ reveals a solvent-exposed cavity containing residues essential for peptidoglycan biogenesis in Escherichia coli. J. Bacteriol. 195, 4639–4649 (2013).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  34. Butler, E. K., Tan, W. B., Joseph, H. & Ruiz, N. Charge requirements of lipid II flippase activity in Escherichia coli. J. Bacteriol. 196, 4111–4119 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  35. Rubino, F. A. et al. Detection of transport intermediates in the peptidoglycan flippase MurJ identifies residues essential for conformational cycling. J. Am. Chem. Soc. 142, 5482–5486 (2020).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  36. Kohga, H. et al. Crystal structure of the lipid flippase MurJ in a ‘squeezed’ form distinct from its inward- and outward-facing forms. Structure 30, 1088–1097 (2022).

    Article  CAS  PubMed  Google Scholar 

  37. WHO Bacterial Priority Pathogens List 2024: Bacterial Pathogens of Public Health Importance, to Guide Research, Development, and Strategies to Prevent and Control Antimicrobial Resistance (World Health Organization, 2024).

  38. Teague, S. J. Implications of protein flexibility for drug discovery. Nat. Rev. Drug Discov. 2, 527–541 (2003).

    Article  CAS  PubMed  Google Scholar 

  39. Simmons, K. J., Chopra, I. & Fishwick, C. W. G. Structure-based discovery of antibacterial drugs. Nat. Rev. Microbiol. 8, 501–510 (2010).

    Article  CAS  PubMed  Google Scholar 

  40. Goddard, T. D. et al. UCSF ChimeraX: meeting modern challenges in visualization and analysis. Protein Sci. 27, 14–25 (2018).

    Article  CAS  PubMed  Google Scholar 

  41. Sham, L., Zheng, S., Yakhnina, A. A., Kruse, A. C. & Bernhardt, T. G. Loss of specificity variants of WzxC suggest that substrate recognition is coupled with transporter opening in MOP-family flippases. Mol. Microbiol. 109, 633–641 (2018).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  42. Punjani, A., Rubinstein, J. L., Fleet, D. J. & Brubaker, M. A. cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination. Nat. Methods 14, 290–296 (2017).

    Article  CAS  PubMed  Google Scholar 

  43. Bepler, T. et al. Positive-unlabeled convolutional neural networks for particle picking in cryo-electron micrographs. Nat. Methods 16, 1153–1160 (2019).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  44. Punjani, A., Zhang, H. & Fleet, D. J. Non-uniform refinement: adaptive regularization improves single-particle cryo-EM reconstruction. Nat. Methods 17, 1214–1221 (2020).

    Article  CAS  PubMed  Google Scholar 

  45. Jumper, J. et al. Highly accurate protein structure prediction with AlphaFold. Nature 596, 583–589 (2021).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  46. Emsley, P., Lohkamp, B., Scott, W. G. & Cowtan, K. Features and development of Coot. Acta Crystallogr. D 66, 486–501 (2010).

    Article  ADS  CAS  PubMed  PubMed Central  Google Scholar 

  47. Afonine, P. V. et al. Real-space refinement in PHENIX for cryo-EM and crystallography. Acta Crystallogr. D 74, 531–544 (2018).

    Article  ADS  CAS  Google Scholar 

  48. Williams, C. J. et al. MolProbity: More and better reference data for improved all-atom structure validation. Protein Sci. 27, 293–315 (2018).

    Article  CAS  PubMed  Google Scholar 

  49. Bernhardt, T. G. & De Boer, P. A. J. The Escherichia coli amidase AmiC is a periplasmic septal ring component exported via the twin-arginine transport pathway. Mol. Microbiol. 48, 1171–1182 (2003).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  50. Schneider, C. A., Rasband, W. S. & Eliceiri, K. W. NIH Image to ImageJ: 25 years of image analysis. Nat. Methods 9, 671–675 (2012).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  51. Pei, J., Kim, B.-H. & Grishin, N. V. PROMALS3D: a tool for multiple protein sequence and structure alignments. Nucleic Acids Res. 36, 2295–2300 (2008).

    Article  CAS  PubMed  PubMed Central  Google Scholar 

Download references

Acknowledgements

We thank S. Chen, G. Pinton Tomaleri and T. Brittain for assistance with cryo-EM data collection; P. Dutka, I. Yen and J. Lee for help with cryo-EM data processing and the University of Michigan Life Science Institute Cryo-EM summer workshop for cryo-EM training. We thank T. Bernhardt (Harvard Medical School) for the strain CS7 and the plasmid pCS126. We are grateful to D. C. Rees for comments on the manuscript. Cryo-EM was performed at the Beckman Institute Resource Center for Transmission Electron Microscopy at Caltech. Phase contrast microscopy was performed at the Beckman Institute Biological Imaging Facility at Caltech. Funding for this work was provided by National Institutes of Health grant nos. R01GM114611 (W.M.C.), R35GM136396 (R.Y.), T32GM135748 (S.F.A.), the G. Harold and Leila Y. Mathers Foundation (W.M.C.), the Chan Zuckerberg Initiative and the Center for Phage Technology at Texas A&M University, jointly sponsored by Texas A&M AgriLife.

Author information

Authors and Affiliations

Authors

Contributions

W.M.C., Y.E.L. and R.Y. conceptualized the project. Y.E.L. designed expression constructs, purified all Sgl–MurJ complexes, collected and processed cryo-EM data. Y.E.L. and W.M.C. performed model building, refinement and validation. R.Y. oversaw all work to identify the target of SglCJ3. K.C. identified the MurJ-resistant mutant for SglCJ3. S.F.A. performed physiological characterization of SglCJ3. G.F.B. and Y.E.L. constructed and characterized all lysis protein variants. Y.E.L. and W.M.C. wrote the manuscript with input from all authors.

Corresponding author

Correspondence to William M. Clemons Jr.

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Extended data figures and tables

Extended Data Fig. 1 Construct design and purification of Sgl–MurJ complexes.

a, Cartoon representation of TaMurJ crystal structures in inward closed (PDB:6NC6) and outward (PDB: 6NC9) states and the EcMurJ crystal structure (PDB:6CC4) in an inward closed state with the N-lobe, C-lobe, and TMs 13-14 colored (blue, green and pink, respectively). b, Crystal structure of EcMurJ BRIL fusion (EcMurJBRIL) in an inward closed state showing the full construct. The distortion of TM1 and the deleted C-terminal residues are highlighted by dashed boxes. c, Left top, schematic of co-expression constructs for the Sgls and MurJ. Left bottom, various constructs of EcMurJ in a MurJ-depletion strain. The genomic EcMurJ is controlled by an arabinose promoter. In the absence of arabinose, only cells expressing a complementing MurJ are viable, in this case under the control of an IPTG inducible promoter. The construct used for structural studies, EcMurJBRIL, complements similar to wild-type MurJ. The non-functional R24A mutant33 is included as a negative control. Right, Lysis assay comparison of the His-tagged SglM in the absence and presence of our co-expressed EcMurJBRIL, demonstrating that EcMurJBRIL can rescue lysis. d, Representative size exclusion chromatography profiles and SDS-PAGE analyses of purified Sgl–MurJ and Sgl–MurJ–Fab–Nb complexes. Molecular weight markers are indicated in KDa. The SglCJ3 band was not observed on the SDS-PAGE gel, likely due to low sensitivity. The predicted location of SglCJ3 is labeled.

Source data

Extended Data Fig. 2 Cryo-EM data processing and analysis of the SglM–MurJ complex.

a, Summary of Cryo-EM data processing workflow to obtain the SglM–MurJ complex structure as described in methods. b, Representative micrograph (left) and 2D class averages (right). c, Angular distribution of particles of the final 3D reconstruction. d, Fourier shell correlation (FSC) curved between two half maps. e, Local resolution map of the membrane region of the final Cryo-EM map colored by resolution from 3.2 Å (purple) to 4.4 Å (green). f, Cryo-EM density of each TM helix and the BRIL fusion domain of MurJ with respective coordinates shown as sticks. Residues in MurJ making contacts with the BRIL domain are highlighted in orange.

Extended Data Fig. 3 Lysis profiles of Sgl variants.

All growth curves are shown with the mean and error bars representing the standard deviation derived from n = 3 technical replicates. For all assays, ‘uninduced’ represents the wild-type Sgl. Sgl variants were induced at time 0 and the absorbance at 600 nm was monitored over time. a, Lysis profiles of key residues in SglM, SglPP7, and SglCJ3, respectively as shown in Figs. 1c, 2a, and 3f. Representative western blots of the membrane fractions after 30 min of induction are shown below each lysis plot (See uncropped blots in Supplementary Fig. 1). b, Phase contrast images of uninduced control and cells expressing representative SglM mutants (L13A and D18A) 60 min post-induction. White arrows highlight lysed cells and cells showing septal blebbing morphology. Scale bar represents 5 µm. c, Lysis profiles of mutants that have no obvious effect on lysis onset in SglM, SglPP7, and SglCJ3, respectively. Schematics of Sgl sequences are shown for each Sgl with the transmembrane domain and secondary structure indicated above. Residues are colored based on their phenotypes.

Source data

Extended Data Fig. 4 Cryo-EM data processing and analysis of the SglPP7–MurJ complex.

a, Summary of Cryo-EM data processing workflow to obtain the SglPP7–MurJ complex structure. b, Representative micrograph (left) and 2D class averages. c, Angular distribution of particles of the final 3D reconstruction. d, Fourier shell correlation (FSC) curved between two half maps. e, Local resolution map of the transmembrane region in the final Cryo-EM map colored by resolution from 3.4 Å (purple) to 4.6 Å (green). f, Cryo-EM density fit of the TM helices 1-14 of MurJ. All models are shown in sticks. Residues in MurJ making contacts with the BRIL domain are highlighted in orange.

Extended Data Fig. 5 Physiological characterization of SglCJ3.

a, Representative microscopy images of the lysis morphology after induction of SglCJ3. b, Suppression of CJ3 lysis by heterologous lipid II flippase homologs. Over-expression of Amj from B. subtilis rescued cell lysis induced by MurJ-targeting Sgls. SglKU1 does not target MurJ and KU1-induced lysis cannot be suppressed by Amj.

Source data

Extended Data Fig. 6 Genome organization of MurJ-targeting ssRNA phages.

a, Genomes of ssRNA phages (M, PP7, and CJ3) with the three core genes mat, coat, and rep (dark blue, blue, and green, respectively). Each sgl is embedded in an alternative reading frame indicated in orange. b, Sequence alignment of the rep genes from M, PP7, and CJ3. The relative locations of each Sgl sequence to the rep proteins are shown. Sequences of the dispensable N-termini of SglPP7 and SglCJ3 are not shown.

Extended Data Fig. 7 Cryo-EM data processing and analysis of the SglCJ3–MurJ complex.

a, Summary of Cryo-EM data processing workflow to obtain the SglCJ3–MurJ complex structure. b, Representative micrograph (left) and 2D class averages. c, Angular distribution of particles of the final 3D reconstruction. d, Fourier shell correlation (FSC) curved between two half maps. e, Local resolution map of the transmembrane region in the final Cryo-EM map colored by resolution from 3.2 Å (purple) to 4.4 Å (green). f, Cryo-EM density fit of the TM helices 1-14 of MurJ. All models are shown in sticks. Residues in MurJ making contacts with the BRIL domain are highlighted in orange.

Extended Data Fig. 8 Structural analysis of Sgl-bound MurJ.

a, Comparison of the three Sgl-bound MurJ structures aligned to either the N- or the C-lobe. Sgls are not shown. b, Comparison of Sgl-bound EcMurJ to the outward TaMurJ structure. Dashed boxes highlight structural differences in TM2 and TM7. c, As in b, comparison of the inward closed EcMurJ (PDB: 6CC4), TaMurJ (PDB:6NC6), and AeMurJ (PDB:7WAW) structures. d, Structure-based multiple sequence alignment based on MurJ structures in c for TM2 and TM7 of MurJ using PROSMAL3D with ClustalX coloring for residues. Sequence differences in the G/A-E-G-A motif in TM2 are highlighted.

Extended Data Fig. 9 Sequence alignment of representative Gram-negative MurJ homologs.

Structure-based multiple sequence alignment using PROSMAL3D51 with ClustalX coloring for residues. MurJ homologs are (Uniprot IDs in brackets): Escherichia coli (P0AF16), Klebsiella pneumoniae (B5XXI8), Acinetobacter baumannii (D0CEW3), Pseudomonas aeruginosa (Q9HVM2), Shigella flexneri (Q83RT5), Neisseria gonorrhoeae (Q5F648), Haemophilus influenzae (A5UIA5), Salmonella typhimurium (P37169), Vibrio cholerae (O34238). Secondary structure based on the outward-facing EcMurJ are shown above the sequence and colored as in Extended Data Fig. 1a. Residues in MurJ that contact each Sgl are labeled with *.

Extended Data Table 1 Cryo-EM data collection, refinement, and validation statistics

Supplementary information

Supplementary Fig. 1

Uncropped Western blots with total protein staining. ac, Uncropped western blots of the membrane fractions from E. coli cells expressing indicated Sgl variant for SglM (a), SglPP7 (b) and SglCJ3 (c). Cropped regions are indicated by white boxes as shown in Extended Data Fig. 3a. Total protein on the membrane was visualized on a replicate blot using Revert 700 Total Protein Stain (LiCor) and is shown next to the corresponding blots. Molecular weight markers are indicated. d, Bar graphs showing the relative protein level in the membrane for each Sgl variant. Band intensity was quantified using densitometry normalized to total protein signals using Empiria Studio (LiCor) across at least three independent experiments. Individual data points are shown with the mean for each Sgl variant.

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Li, Y.E., Antillon, S.F., Baron, G.F. et al. Convergent MurJ flippase inhibition by phage lysis proteins. Nature (2026). https://doi.org/10.1038/s41586-026-10163-w

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