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Pneumococcal S protein coordinates cell wall modification and repair to resist host antimicrobials

Abstract

S protein is conserved among streptococci and contributes to group A Streptococcus virulence, but the mechanisms involved are unclear. Here we used genetic, biochemical, single-molecule, in vitro and in vivo analyses to show that S protein is crucial for resistance against host-derived antimicrobials by coordinating cell wall modification and repair. We observed that S protein was localized to the streptococcal septum dependent on its transmembrane domain, while S protein function was dependent on its peptidoglycan (PG)-binding LysM domain. Direct interactions between the pneumococcal S protein and the PG synthase PBP1a as well as the PG deacetylase PgdA were detected. Loss of S protein reduced the proportion of circumferentially moving PBP1a molecules, altered streptococcal morphology and increased susceptibility to cell-wall-targeting antibiotics, suggesting that S protein activates PBP1a. Streptococcus pneumoniae ess mutants lacking the gene encoding S protein were more susceptible to human antimicrobial peptide LL-37 and lysozyme, while their virulence was decreased compared with wild-type bacteria in zebrafish and mice. These data suggest that S protein activates the PG repair and modification complex, providing defence against host-derived and environmental antimicrobials.

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Fig. 1: The S protein is localized at midcell through its transmembrane-spanning domain.
Fig. 2: Pneumococcal S protein directly interacts with PBP1a and PgdA.
Fig. 3: S protein is involved in cell wall homeostasis.
Fig. 4: essSp is genetically linked to pbp1a, pgdA, mpgA and rodZ.
Fig. 5: S protein protects streptococcal cells from host innate immune system damages, and PBP1a contributes to ΔessSp phenotypes.
Fig. 6: Streptococcal S protein coordinates the PBP1a–PgdA sentinel cell wall repair–modification complex required for protection from host antimicrobial challenges.

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Data availability

The data that support the findings of this study are incorporated in the paper and its supporting information. Genome sequences, assemblies and sequencing reads are available at NCBI (BioProject accession number PRJNA1198892). All raw MS data together with raw output tables are available via the Proteomexchange data repository (www.proteomexchange.org) under the accession PXD055534. Source data are provided with this paper.

References

  1. Abranches, J. et al. Biology of oral streptococci. Microbiol. Spectr. https://doi.org/10.1128/microbiolspec.GPP3-0042-2018 (2018).

  2. Martinović, A., Cocuzzi, R., Arioli, S. & Mora, D. Streptococcus thermophilus: to survive, or not to survive the gastrointestinal tract, that is the question! Nutrients 12, 2175 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  3. Kampff, Z., van Sinderen, D. & Mahony, J. Cell wall polysaccharides of streptococci: a genetic and structural perspective. Biotechnol. Adv. 69, 108279 (2023).

    Article  PubMed  Google Scholar 

  4. Carapetis, J. R., Steer, A. C., Mulholland, E. K. & Weber, M. The global burden of group A streptococcal diseases. Lancet Infect. Dis. 5, 685–694 (2005).

    Article  PubMed  Google Scholar 

  5. Ralph, A. P. & Carapetis, J. R. Group A streptococcal diseases and their global burden. Curr. Top. Microbiol. Immunol. 368, 1–27 (2013).

    PubMed  Google Scholar 

  6. Sims Sanyahumbi, A., Colquhoun, S., Wyber, R. & Carapetis, J. R. in Streptococcus pyogenes: Basic Biology to Clinical Manifestations (eds Ferretti, J. J. et al.) https://www.ncbi.nlm.nih.gov/books/NBK333415/ (Univ. Oklahoma Health Sciences Center, 2016).

  7. Guerra, S. & LaRock, C. Group A Streptococcus interactions with the host across time and space. Curr. Opin. Microbiol. 77, 102420 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  8. Ling, J. & Hryckowian, A. J. Re-framing the importance of Group B Streptococcus as a gut-resident pathobiont. Infect. Immun. 92, e0047823 (2024).

  9. GBD 2021 Lower Respiratory Infections and Antimicrobial Resistance Collaborators. Global, regional, and national incidence and mortality burden of non-COVID-19 lower respiratory infections and aetiologies, 1990-2021: a systematic analysis from the Global Burden of Disease Study 2021. Lancet Infect. Dis. 24, 974–1002 (2024).

  10. Mistou, M.-Y., Sutcliffe, I. C. & van Sorge, N. M. Bacterial glycobiology: rhamnose-containing cell wall polysaccharides in Gram-positive bacteria. FEMS Microbiol. Rev. 40, 464–479 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  11. Vollmer, W., Massidda, O. &Tomasz, A. The cell wall of Streptococcus pneumoniae. Microbiol. Spectr. https://doi.org/10.1128/microbiolspec.gpp3-0018-2018 (2019).

  12. Weiser, J. N., Ferreira, D. M. & Paton, J. C. Streptococcus pneumoniae: transmission, colonization and invasion. Nat. Rev. Microbiol. 16, 355–367 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  13. Gibson, P. S. & Veening, J.-W. Gaps in the wall: understanding cell wall biology to tackle amoxicillin resistance in Streptococcus pneumoniae. Curr. Opin. Microbiol. 72, 102261 (2023).

    Article  PubMed  Google Scholar 

  14. Mills, J. O. & Ghosh, P. Nonimmune antibody interactions of Group A Streptococcus M and M-like proteins. PLoS Pathog. 17, e1009248 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  15. Wierzbicki, I. H. et al. Group A streptococcal S protein utilizes red blood cells as immune camouflage and is a critical determinant for immune evasion. Cell Rep. 29, 2979–2989.e15 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  16. Campeau, A. et al. The S protein of Group B Streptococcus is a critical virulence determinant that impacts the cell surface virulome. Front. Microbiol. 12, 729308 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  17. Straume, D., Piechowiak, K. W., Kjos, M. & Håvarstein, L. S. Class A PBPs: it is time to rethink traditional paradigms. Mol. Microbiol. 116, 41–52 (2021).

    Article  PubMed  Google Scholar 

  18. Land, A. D. et al. Requirement of essential Pbp2x and GpsB for septal ring closure in Streptococcus pneumoniae D39. Mol. Microbiol. 90, 939–955 (2013).

    Article  PubMed  PubMed Central  Google Scholar 

  19. Massidda, O., Nováková, L. & Vollmer, W. From models to pathogens: how much have we learned about Streptococcus pneumoniae cell division? Environ. Microbiol. 15, 3133–3157 (2013).

    Article  PubMed  Google Scholar 

  20. Philippe, J., Vernet, T. & Zapun, A. The elongation of ovococci. Microb. Drug Resist. 20, 215–221 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  21. Tsui, H.-C. T. et al. Pbp2x localizes separately from Pbp2b and other peptidoglycan synthesis proteins during later stages of cell division of Streptococcus pneumoniae D39. Mol. Microbiol. 94, 21–40 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  22. Tsui, H.-C. T. et al. Suppression of a deletion mutation in the gene encoding essential PBP2b reveals a new lytic transglycosylase involved in peripheral peptidoglycan synthesis in Streptococcus pneumoniae D39. Mol. Microbiol. 100, 1039–1065 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  23. Lamanna, M. M. et al. Roles of RodZ and class A PBP1b in the assembly and regulation of the peripheral peptidoglycan elongasome in ovoid-shaped cells of Streptococcus pneumoniae D39. Mol. Microbiol. 118, 336–368 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  24. Perez, A. J. et al. Elongasome core proteins and class A PBP1a display zonal, processive movement at the midcell of Streptococcus pneumoniae. Proc. Natl Acad. Sci. USA 121, e2401831121 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  25. Straume, D. et al. Class A PBPs have a distinct and unique role in the construction of the pneumococcal cell wall. Proc. Natl Acad. Sci. USA 117, 6129–6138 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  26. Morè, N. et al. Peptidoglycan remodeling enables Escherichia coli to survive severe outer membrane assembly defect. mBio 10, e02729-18 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  27. Vigouroux, A. et al. Class-A penicillin binding proteins do not contribute to cell shape but repair cell-wall defects. eLife 9, e51998 (2020).

    Article  PubMed  PubMed Central  Google Scholar 

  28. Vollmer, W. & Tomasz, A. The pgdA gene encodes for a peptidoglycan N-acetylglucosamine deacetylase in Streptococcus pneumoniae. J. Biol. Chem. 275, 20496–20501 (2000).

    Article  PubMed  Google Scholar 

  29. Cole, A. M. et al. Cationic polypeptides are required for antibacterial activity of human airway fluid. J. Immunol. 169, 6985–6991 (2002).

    Article  PubMed  Google Scholar 

  30. Vollmer, W. & Tomasz, A. Peptidoglycan N-acetylglucosamine deacetylase, a putative virulence factor in Streptococcus pneumoniae. Infect. Immun. 70, 7176–7178 (2002).

    Article  PubMed  PubMed Central  Google Scholar 

  31. Davis, K. M., Akinbi, H. T., Standish, A. J. & Weiser, J. N. Resistance to mucosal lysozyme compensates for the fitness deficit of peptidoglycan modifications by Streptococcus pneumoniae. PLoS Pathog. 4, e1000241 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  32. Beilharz, K. et al. Control of cell division in Streptococcus pneumoniae by the conserved Ser/Thr protein kinase StkP. Proc. Natl Acad. Sci. USA 109, E905–E913 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  33. Ulrych, A. et al. Cell wall stress stimulates the activity of the protein kinase StkP of Streptococcus pneumoniae, leading to multiple phosphorylation. J. Mol. Biol. 433, 167319 (2021).

    Article  PubMed  Google Scholar 

  34. Fleurie, A. et al. Mutational dissection of the S/T-kinase StkP reveals crucial roles in cell division of Streptococcus pneumoniae. Mol. Microbiol. 83, 746–758 (2012).

    Article  PubMed  Google Scholar 

  35. Hirschfeld, C. et al. Proteomic investigation uncovers potential targets and target sites of pneumococcal serine-threonine kinase StkP and phosphatase PhpP. Front. Microbiol. 10, 3101 (2019).

    Article  PubMed  Google Scholar 

  36. Straume, D., Stamsås, G. A., Berg, K. H., Salehian, Z. & Håvarstein, L. S. Identification of pneumococcal proteins that are functionally linked to penicillin-binding protein 2b (PBP2b). Mol. Microbiol. 103, 99–116 (2017).

    Article  PubMed  Google Scholar 

  37. Fadda, D. et al. Streptococcus pneumoniae DivIVA: localization and interactions in a MinCD-free context. J. Bacteriol. 189, 1288–1298 (2007).

    Article  PubMed  Google Scholar 

  38. Fleurie, A. et al. Interplay of the serine/threonine-kinase StkP and the paralogs DivIVA and GpsB in pneumococcal cell elongation and division. PLoS Genet. 10, e1004275 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  39. Rued, B. E. et al. Suppression and synthetic-lethal genetic relationships of ΔgpsB mutations indicate that GpsB mediates protein phosphorylation and penicillin-binding protein interactions in Streptococcus pneumoniae D39. Mol. Microbiol. 103, 931–957 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  40. Taguchi, A., Page, J. E., Tsui, H.-C. T., Winkler, M. E. & Walker, S. Biochemical reconstitution defines new functions for membrane-bound glycosidases in assembly of the bacterial cell wall. Proc. Natl Acad. Sci. USA 118, e2103740118 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  41. Slager, J., Aprianto, R. & Veening, J.-W. Deep genome annotation of the opportunistic human pathogen Streptococcus pneumoniae D39. Nucleic Acids Res. 46, 9971–9989 (2018).

    PubMed  PubMed Central  Google Scholar 

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

    Article  PubMed  PubMed Central  Google Scholar 

  43. Buist, G., Steen, A., Kok, J. & Kuipers, O. P. LysM, a widely distributed protein motif for binding to (peptido)glycans. Mol. Microbiol. 68, 838–847 (2008).

    Article  PubMed  Google Scholar 

  44. Whitley, K. D., Middlemiss, S., Jukes, C., Dekker, C. & Holden, S. High-resolution imaging of bacterial spatial organization with vertical cell imaging by nanostructured immobilization (VerCINI). Nat. Protoc. 17, 847–869 (2022).

    Article  PubMed  Google Scholar 

  45. Oliveira Paiva, A. M. et al. The bacterial chromatin protein HupA can remodel DNA and associates with the nucleoid in Clostridium difficile. J. Mol. Biol. 431, 653–672 (2019).

    Article  PubMed  Google Scholar 

  46. Gallay, C. et al. CcrZ is a pneumococcal spatiotemporal cell cycle regulator that interacts with FtsZ and controls DNA replication by modulating the activity of DnaA. Nat. Microbiol. 6, 1175–1187 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  47. Sanchez-Puelles, J. M. et al. Searching for autolysin functions. Characterization of a pneumococcal mutant deleted in the lytA gene. Eur. J. Biochem. 158, 289–293 (1986).

    Article  PubMed  Google Scholar 

  48. Barendt, S. M. et al. Influences of capsule on cell shape and chain formation of wild-type and pcsB mutants of serotype 2 Streptococcus pneumoniae. J. Bacteriol. 191, 3024–3040 (2009).

    Article  PubMed  PubMed Central  Google Scholar 

  49. de Bakker, V., Liu, X., Bravo, A. M. & Veening, J.-W. CRISPRi-seq for genome-wide fitness quantification in bacteria. Nat. Protoc. 17, 252–281 (2022).

    Article  PubMed  Google Scholar 

  50. Pinho, M. G., Kjos, M. & Veening, J.-W. How to get (a)round: mechanisms controlling growth and division of coccoid bacteria. Nat. Rev. Microbiol. 11, 601–614 (2013).

    Article  PubMed  Google Scholar 

  51. Briggs, N. S., Bruce, K. E., Naskar, S., Winkler, M. E. & Roper, D. I. The pneumococcal divisome: dynamic control of Streptococcus pneumoniae cell division. Front. Microbiol. 12, 737396 (2021).

    Article  PubMed  PubMed Central  Google Scholar 

  52. Millat, H. et al. Characterization of a GpsB-associated regulator of PBP1a reveals the organization of the cell wall remodeling complex of Streptococcus pneumoniae. Preprint at bioRxiv https://doi.org/10.1101/2024.11.09.622756 (2024).

  53. Balaban, N. Q. et al. Definitions and guidelines for research on antibiotic persistence. Nat. Rev. Microbiol. 17, 441–448 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  54. Kaldalu, N., Hauryliuk, V. & Tenson, T. Persisters—as elusive as ever. Appl. Microbiol. Biotechnol. 100, 6545–6553 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  55. Bui, N. K. et al. Isolation and analysis of cell wall components from Streptococcus pneumoniae. Anal. Biochem. 421, 657–666 (2012).

    Article  PubMed  Google Scholar 

  56. Bals, R., Wang, X., Zasloff, M. & Wilson, J. M. The peptide antibiotic LL-37/hCAP-18 is expressed in epithelia of the human lung where it has broad antimicrobial activity at the airway surface. Proc. Natl Acad. Sci. USA 95, 9541–9546 (1998).

    Article  PubMed  PubMed Central  Google Scholar 

  57. LaRock, C. N. & Nizet, V. Cationic antimicrobial peptide resistance mechanisms of streptococcal pathogens. Biochim. Biophys. Acta 1848, 3047–3054 (2015).

    Article  PubMed  PubMed Central  Google Scholar 

  58. Majchrzykiewicz, J. A., Kuipers, O. P. & Bijlsma, J. J. E. Generic and specific adaptive responses of Streptococcus pneumoniae to challenge with three distinct antimicrobial peptides, bacitracin, LL-37, and nisin. Antimicrob. Agents Chemother. 54, 440–451 (2010).

    Article  PubMed  Google Scholar 

  59. Gonzalez, D. J., Campeau, A.& McGrosso, D. M. Protective vaccine antigen against streptococcal infection. Patent WO2022256310A1 (2022).

  60. Cleverley, R. M. et al. The cell cycle regulator GpsB functions as cytosolic adaptor for multiple cell wall enzymes. Nat. Commun. 10, 261 (2019).

    Article  PubMed  PubMed Central  Google Scholar 

  61. Stauberová, V. et al. GpsB coordinates StkP signaling as a PASTA kinase adaptor in Streptococcus pneumoniae cell division. J. Mol. Biol. 436, 168797 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  62. Rismondo, J., Wamp, S., Aldridge, C., Vollmer, W. & Halbedel, S. Stimulation of PgdA-dependent peptidoglycan N-deacetylation by GpsB-PBP A1 in Listeria monocytogenes. Mol. Microbiol. 107, 472–487 (2018).

    Article  PubMed  Google Scholar 

  63. Krawczyk-Balska, A., Korsak, D. & Popowska, M. The surface protein Lmo1941 with LysM domain influences cell wall structure and susceptibility of Listeria monocytogenes to cephalosporins. FEMS Microbiol. Lett. 357, 175–183 (2014).

    PubMed  Google Scholar 

  64. Kobayashi, K. et al. Identification and characterization of a novel polysaccharide deacetylase C (PdaC) from Bacillus subtilis. J. Biol. Chem. 287, 9765–9776 (2012).

    Article  PubMed  PubMed Central  Google Scholar 

  65. Rahman, M. M. et al. Glycosylation of serine/threonine-rich intrinsically disordered regions of membrane-associated proteins in streptococci. Nat. Commun. 16, 4011 (2025).

    Article  PubMed  PubMed Central  Google Scholar 

  66. Kietzman, C. C., Gao, G., Mann, B., Myers, L. & Tuomanen, E. I. Dynamic capsule restructuring by the main pneumococcal autolysin LytA in response to the epithelium. Nat. Commun. 7, 10859 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  67. Typas, A. et al. Regulation of peptidoglycan synthesis by outer-membrane proteins. Cell 143, 1097–1109 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  68. Paradis-Bleau, C. et al. Lipoprotein cofactors located in the outer membrane activate bacterial cell wall polymerases. Cell 143, 1110–1120 (2010).

    Article  PubMed  PubMed Central  Google Scholar 

  69. Midonet, C. et al. MacP bypass variants of Streptococcus pneumoniae PBP2a suggest a conserved mechanism for the activation of bifunctional cell wall synthases. mBio 14, e0239023 (2023).

    Article  PubMed  Google Scholar 

  70. Paik, J., Kern, I., Lurz, R. & Hakenbeck, R. Mutational analysis of the Streptococcus pneumoniae bimodular class A penicillin-binding proteins. J. Bacteriol. 181, 3852–3856 (1999).

    Article  PubMed  PubMed Central  Google Scholar 

  71. Domenech, A., Slager, J. & Veening, J.-W. Antibiotic-induced cell chaining triggers pneumococcal competence by reshaping quorum sensing to autocrine-like signaling. Cell Rep. 25, 2390–2400.e3 (2018).

    Article  PubMed  PubMed Central  Google Scholar 

  72. Lanie, J. A. et al. Genome sequence of Avery’s virulent serotype 2 strain D39 of Streptococcus pneumoniae and comparison with that of unencapsulated laboratory strain R6. J. Bacteriol. 189, 38–51 (2007).

    Article  PubMed  Google Scholar 

  73. Mignolet, J. et al. Circuitry rewiring directly couples competence to predation in the gut dweller Streptococcus salivarius. Cell Rep. 22, 1627–1638 (2018).

    Article  PubMed  Google Scholar 

  74. Tamura, K., Stecher, G. & Kumar, S. MEGA11: Molecular Evolutionary Genetics Analysis Version 11. Mol. Biol. Evol. 38, 3022–3027 (2021).

  75. Abramson, J. et al. Accurate structure prediction of biomolecular interactions with AlphaFold 3. Nature 630, 493–500 (2024).

    Article  PubMed  PubMed Central  Google Scholar 

  76. Evans, R. et al. Protein complex prediction with AlphaFold-Multimer. Preprint at bioRxiv https://doi.org/10.1101/2021.10.04.463034 (2022).

  77. Pettersen, E. F. et al. UCSF ChimeraX: structure visualization for researchers, educators, and developers. Protein Sci. 30, 70–82 (2021).

    Article  PubMed  Google Scholar 

  78. de Jong, I. G., Beilharz, K., Kuipers, O. P. & Veening, J.-W. Live cell imaging of Bacillus subtilis and Streptococcus pneumoniae using automated time-lapse microscopy. J. Vis. Exp. https://doi.org/10.3791/3145 (2011).

  79. Ducret, A., Quardokus, E. M. & Brun, Y. V. MicrobeJ, a tool for high throughput bacterial cell detection and quantitative analysis. Nat. Microbiol. 1, 16077 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  80. Schindelin, J. et al. Fiji: an open-source platform for biological-image analysis. Nat. Methods 9, 676–682 (2012).

    Article  PubMed  Google Scholar 

  81. Sharma, V. ImageJ plugin HyperStackReg Version v5.6. Zenodo https://doi.org/10.5281/zenodo.2252521 (2018).

  82. Dénéréaz, J. & Veening, J.-W. BactEXTRACT: an R Shiny app to quickly extract, plot and analyse bacterial growth and gene expression data. Access Microbiol. 6, 000742.v3. (2024).

  83. Kulak, N. A., Pichler, G., Paron, I., Nagaraj, N. & Mann, M. Minimal, encapsulated proteomic-sample processing applied to copy-number estimation in eukaryotic cells. Nat. Methods 11, 319–324 (2014).

    Article  PubMed  Google Scholar 

  84. Käll, L., Storey, J. D. & Noble, W. S. Non-parametric estimation of posterior error probabilities associated with peptides identified by tandem mass spectrometry. Bioinformatics 24, i42–i48 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  85. Nesvizhskii, A. I., Keller, A., Kolker, E. & Aebersold, R. A statistical model for identifying proteins by tandem mass spectrometry. Anal. Chem. 75, 4646–4658 (2003).

    Article  PubMed  Google Scholar 

  86. Liu, X. et al. High-throughput CRISPRi phenotyping identifies new essential genes in Streptococcus pneumoniae. Mol. Syst. Biol. 13, 931 (2017).

    Article  PubMed  PubMed Central  Google Scholar 

  87. Bravo, A. M., Typas, A. & Veening, J.-W. 2FAST2Q: a general-purpose sequence search and counting program for FASTQ files. PeerJ 10, e14041 (2022).

    Article  PubMed  PubMed Central  Google Scholar 

  88. Deatherage, D. E. & Barrick, J. E. Identification of mutations in laboratory-evolved microbes from next-generation sequencing data using breseq. Methods Mol. Biol. 1151, 165–188 (2014).

    Article  PubMed  PubMed Central  Google Scholar 

  89. CLSI M100—Performance Standards for Antimicrobial Susceptibility Testing 33rd edn (Clinical and Laboratory Standards Institute (CLSI), 2023).

  90. Hayashi, K. A rapid determination of sodium dodecyl sulfate with methylene blue. Anal. Biochem. 67, 503–506 (1975).

    Article  PubMed  Google Scholar 

  91. White, R. M. et al. Transparent adult zebrafish as a tool for in vivo transplantation analysis. Cell Stem Cell 2, 183–189 (2008).

    Article  PubMed  PubMed Central  Google Scholar 

  92. Jim, K. K. et al. Infection of zebrafish embryos with live fluorescent Streptococcus pneumoniae as a real-time pneumococcal meningitis model. J. Neuroinflammation 13, 188 (2016).

    Article  PubMed  PubMed Central  Google Scholar 

  93. Zuber, B. et al. Granular layer in the periplasmic space of Gram-positive bacteria and fine structures of Enterococcus gallinarum and Streptococcus gordonii septa revealed by cryo-electron microscopy of vitreous sections. J. Bacteriol. 188, 6652–6660 (2006).

    Article  PubMed  PubMed Central  Google Scholar 

  94. Bui, N. K. et al. Development of screening assays and discovery of initial inhibitors of pneumococcal peptidoglycan deacetylase PgdA. Biochem. Pharmacol. 82, 43–52 (2011).

    Article  PubMed  Google Scholar 

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Acknowledgements

We thank the members of the Veening group for valuable discussions; F. Patrick Bock for helping with protein structure prediction and V. de Bakker for helping with CRISPRi-seq data analysis; J. Dénéréaz and P. Gibson for technical support; the UNIL GTF for sequencing, PAF for proteomics and EMF for TEM; N. Vastenhouw for access to the zebrafish facility and continued support; D. van Swaay (Wünderlichips) for design and production of the micropillars chip; D. Gonzalez (UC Berkeley School of Public Health, California, USA) for strains and insightful discussions. Work in the lab of J.-W.V. was supported by SNSF grants 310030_192517, 310030_200792 and NCCR 51NF40_180541. Work in the lab of M.E.W. was supported by NIH grant R35GM131767 and NIH equipment grant S10OD024988 to the Indiana University Bloomington Light Microscopy Imaging Center. W.V. was supported by the UK Biotechnology and Biological Sciences Research Council (BBSRC; BB/W013630/1).

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Authors

Contributions

J. Burnier and J.-W.V. wrote the paper with input from all authors. J. Burnier, C.G., K.E.B., E.B, L.M., K.K.J., H.-C.T.T., A.J.H.C., J.M., D.V. and J. Biboy performed the experiments. J. Burnier, C.G., K.E.B., E.B., K.K.J., H.-C.T.T., A.J.H.C., J.M., D.V., J. Biboy, V.N., W.V., M.E.W. and J.-W.V. designed, analysed and interpreted the data.

Corresponding author

Correspondence to Jan-Willem Veening.

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J.-W.V. is a scientific advisory board member at i-Seq Biotechnology. The other authors declare no competing interests.

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Nature Microbiology thanks Silvia Cardona, Elaine Tuomanen and the other, anonymous, reviewer(s) for their contribution to the peer review of this work. Peer reviewer reports are available.

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Extended data

Extended Data Fig. 1 S protein conservation in Bacilli.

(A) Multiple sequence alignment of Streptococci S protein sequences. Sequence similarities are highlighted in dark blue. (B) Percentages indicate the percent identity for each species compared to S. pneumoniae S protein. L. monocytogenes S protein identity score compared to S. pneumoniae S protein is 21% using Clustal Omega. Gene co-occurrence in several bacilli genomes (data obtained from genome annotation in NCBI: see Methods). Multiple sequence alignment of possible S protein sequences of several bacilli. Sequence similarities are highlighted in dark blue. (C) AlphaFold model of the S protein of different bacilli bacteria.

Extended Data Fig. 2 PBP1a and PgdA conservation in Streptococci.

(A) PBP1a and PgdA conservation in Streptococci. Lineage tree based on 16S rRNA sequence of each specie (see methods) was constructed using MEGA. Mycobacterium tuberculosis was used as an outgroup and numbers represent bootstrap. Percentages indicate the percent identity of PBP1a and PgdA for each species compared to S. pneumoniae PBP1a and PgdA respectively. (B) Multiple sequence alignment of Streptococci PBP1a or PgdA sequences. Sequence similarities are highlighted in dark blue.

Extended Data Fig. 3 S protein localization, susceptibility to divers antibiotics and co-deletions.

(A) Deconvolved epifluorescence microscopy of live S. pneumoniae cells containing truncation fragments of S protein tagged with msfGFP (GFP). Numbers represent amino acids. Transmembrane (TM) domain is necessary for S protein septal localization. Scale bar = 2 μm. (B-H) Growth curve at 37°C. Data are represented as the mean of n ≥ 3 replicates and shading represents SEM. (B) Growth curve of pneumococcal cells deleted with either ΔlytA or ΔessSp, or both. (C) Growth curves of WT or ΔessSp cells to DNA targeting antibiotic ciprofloxacin (CIP). ΔessSp mutant has the same susceptibility to DNA targeting antibiotic compared to the WT. (D) Growth curves of WT or ΔessSp cells subject to diverse cell-wall targeting antibiotics; penicillin (PEN), piperacillin (PIP) or ceftriaxone (CTR). ΔessSp mutant is more susceptible to cell wall targeting antibiotics (PEN, PIP, CTR) than the WT. (E) Confirmation of CRISPRi-seq synthetic lethal screen. Growth curve of pneumococcal cells deleted with ΔessSp, and/or ΔdivIB (left), as well as ΔessSp, and/or mreD/+ (right). (F) Growth curves of pneumococcal cells subject to cefotaxime (CTX) show that the ΔpgdA mutants is not more susceptible compared to the WT. (G) Growth curves of S. salivarius HSISS4 cells subject to penicillin (PEN) at 37°C show that the Δess mutants is more susceptible compared to the wild type. (H) Growth curve of pneumococcal cells deleted with either Δpbp2a or ΔessSp, or both.

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Extended Data Fig. 4 Split-luciferase assay.

(A) All proteins tested by split-luciferase assay. High relative luminescence unit (RLU, normalized log) indicate close proximity (0 represent no proximity, 3 represent close proximity), see material and methods for details of normalization. HlpA-LgBit HlpA-SmBit (HlpA-HlpA) is used as a positive control. Protein representations are not drawn to scale, and when relevant, C and N indicate the sub-cellular localization of the C- and N-terminal SmBit fusion respectively. (B) Fusion of the LgBit to the C-ter of MpgA and RodZ confirmed their close proximity to S protein.

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Extended Data Fig. 5 Pneumococcal PBP1a and PgdA are co-localizing and the removal of the S protein does not impact their localization.

Double-labeled cells were grown in C + Y medium at 37°C and mid-exponentially growing cells were collected for fluorescence microscopy. Fluorescent proteins were expressed from their native locus as only copy in the cell. (A) Deconvolved epifluorescence microscopy. Scale bar = 2 µm. (B) Fluorescent signal of one replicate from >1,000 cells per strain are ordered by cell length and represented by demographs plot performed using MicrobeJ40 (see Methods). (C-D) same as A and B but in an ess deleted background.

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Extended Data Fig. 6 S protein is an integral component of a cell wall repair complex comprising PBP1a, PgdA, and possibly MpgA and RodZ.

(A) AlphaFold prediction of all five proteins generated separately using AlphaFold 3. (B) AlphaFold prediction of the potential complex formed by the S protein, PBP1a, PgdA, MpgA and RodZ. For clarity purposes, the amino-acids 651 to 719 of PBP1a and amino acid 1 to 173 of MpgA are not shown.

Extended Data Fig. 7 Time course experiment.

(A) Growth curves of ΔessSp deleted pneumococcal cells shows increased cell lysis compared to D39V wild type at 37°C. Dotted lines represent the times at which cells were harvested for microscopy. Peaks are due to the plate reader being opened to take samples for microscopy. (B) Phase contrast microscopy of ΔessSp deleted pneumococcal cells at different time point. Scale bar = 2 μm.

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Extended Data Fig. 8 Removal of the S protein specifically decreases the frequency of circumferentially moving PBP1a.

n = the total number of molecules analyzed from two biological replicates and ns (not significant), P > 0.05. (A) Deleting ess does not affect the velocity or duration of circumferentially moving iHT-PBP1a. All strains express a functional fusion of the HaloTag (iHT) domain fused to PBP1a. (left) Velocities and (right) durations of circumferentially moving HT-labeled single molecules of PBP1a are shown. Dots represent individual measurements, black horizontal line shows median, error bars denote interquartile range. Mean, standard deviation (±SD) and n = circumferential molecules. (B-C) Deleting ess decreases the frequency of circumferentially moving iHT-aPBP1a molecules, but does not affect their velocity. Both strains are merodiploids that express a functional fusion of the HaloTag (iHT) domain fused to PBP1a from the native locus of pbp1a as well as from an ectopic site under the control of a zinc-inducible promoter. (B) Deleting ess decreases the frequency of circumferentially moving iHT-aPBP1a in unencapsulated D39W. Merodiploid strains expressed a functional fusion of the HaloTag (iHT) domain to PBP1a from both the native locus of pbp1a as well as from an ectopic site under the control of a zinc-inducible promoter. Movement of >400 iHT-aPBP1a single molecules were recorded and analyzed as described for Fig. 5a. Similar frequency distributions were obtained in independent experiments using comparable single-copy strains (see Fig. 5a). See Methods (Single-molecule dynamics) for details of statistical tests. * P ≤ 0.0254; ** P ≤ 0.0098; all other comparisons (not shown) were not significant, P > 0.05. (C) (left) Velocities and (right) durations of circumferentially moving HT-labeled single molecules of PBP1a are shown and plotted as described above. (D-E) Deleting ess does not affect the frequency or velocity of circumferentially moving molecules of iHT-PBP2b, but reduces their duration. Merodiploid strains of iHT-bPBP2b were constructed similarly to the iHT-aPBP1a merodiploids described in panel B. (D) Movement of >220 iHT-bPBP2b single molecules were recorded and analyzed as described for Fig. 5a (E) Velocities and durations of circumferentially moving HT-labeled single molecules of PBP2b are shown. Mean, standard deviation (±SD) and n = circumferential molecules; ****, P = 0.0001. See Methods (Single-molecule dynamics) for details of statistical tests.

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Extended Data Fig. 9 Deacetylated muropeptides are reduced in a S protein mutant.

(A) Muropeptide profiles of exponentially growing cells in C + Y medium at 37°C were obtained by reversed-phase HPLC55. The area under each peak (numbers) were calculated for each strain (Supplementary Table 5). Peak number 2, 17 and 18 correspond to Tri[deAc], TetraTri[deAc], and TetraTri[deAc], respectively55,94, as reported before by (Bui et al. 2011). Experiments were performed in duplicates and a single profile is shown for each strain. (B) Relative amount of deacetylated peaks of muropeptide profile done in duplicates. Also see (Supplementary Table 4, 5). (C) Pneumococcal susceptibility to host-induced damage in the absence of the S protein can be complemented and is also seen in pneumococcal cells lacking the capsule. Heatmap of the area under the curve (AUC) of the growth curves in liquid media. Lysozyme and LL-37 act synergistically on the ΔessSp mutant. Empirical AUC was plotted between 0-7 hours.

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Compilation of the tables, with legend for each table (sheet) found at the top.

Supplementary Data 1 and 2

Statistical source data for Supplementary Figs. 1 and 2.

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Burnier, J., Gallay, C., Bruce, K.E. et al. Pneumococcal S protein coordinates cell wall modification and repair to resist host antimicrobials. Nat Microbiol 11, 282–300 (2026). https://doi.org/10.1038/s41564-025-02184-4

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