Cited by 0Bacteriophages and microbial interactionsStreptococcal Infections and TreatmentsBacterial Genetics and Biotechnology

The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.

The phage protein paratox is a multifunctional metabolic regulator of Streptococcus

Open access

Published version of a preprint

Abstract

Streptococcus pyogenes, or Group A Streptococcus (GAS), is a commensal bacteria and human pathogen. Central to GAS pathogenesis is the presence of prophage encoded virulence genes. The conserved phage gene for the protein paratox (Prx) is genetically linked to virulence genes, but the reason for this linkage is unknown. Prx inhibits GAS quorum sensing and natural competence by binding the transcription factor ComR. However, inhibiting ComR does not explain the virulence gene linkage. To address this, we took a mass spectrometry approach to search for other Prx interaction partners. The data demonstrates that Prx binds numerous DNA-binding proteins and transcriptional regulators. We show binding of Prx in vitro with the GAS protein Esub1 (SpyM3_0890) and the phage protein JM3 (SpyM3_1246). An Esub1:Prx complex X-ray crystal structure reveals that Esub1 and ComR possess a conserved Prx-binding helix. Computational modelling predicts that the Prx-binding helix is present in several, but not all, binding partners. Namely, JM3 lacks the Prx-binding helix. As Prx is conformationally dynamic, this suggests partner-dependent binding modes. Overall, Prx acts as a metabolic regulator of GAS to maintain the phage genome. As such, Prx maybe a direct contributor to the pathogenic conversion of GAS.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1093/nar/gkae1200

Cites

1 of 1 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Flagged first, then by citations

Research works printed but not linked: 54

  1. Steer, 2012, Invasive group a streptococcal disease: epidemiology, pathogenesis and management, Drugs, 72, 1213, 10.2165/11634180-000000000-00000 · DOI
  2. Wilkening, 2017, Evolutionary constraints shaping Streptococcus pyogenes-host interactions, Trends Microbiol., 25, 562, 10.1016/j.tim.2017.01.007 · DOI
  3. Brouwer, 2023, Pathogenesis, epidemiology and control of Group A Streptococcus infection, Nat. Rev. Micro., 21, 431, 10.1038/s41579-023-00865-7 · DOI
  4. Frenck, 2023, A longitudinal study of group a streptococcal colonization and pharyngitis in US children, Pediatr. Infect. Dis. J., 42, 1045, 10.1097/INF.0000000000004111 · DOI
  5. Ralph, 2013, Group a streptococcal diseases and their global burden, Curr. Top. Microbiol. Immunol., 368, 1
  6. Bessen, 2009, Population biology of the human restricted pathogen, Streptococcus pyogenes, Infect. Genet. Evol., 9, 581, 10.1016/j.meegid.2009.03.002 · DOI
  7. Shannon, 2019, Toxins and superantigens of Group A Streptococci, Microbiol. Spectr., 10.1128/microbiolspec.GPP3-0054-2018 · DOI
  8. Wollein Waldetoft, 2014, To harm or not to harm? On the evolution and expression of virulence in Group A Streptococci, Trends Microbiol., 22, 7, 10.1016/j.tim.2013.10.006 · DOI
  9. Euler, 2016, Targeted curing of all lysogenic bacteriophage from Streptococcus pyogenes using a novel counter-selection technique, PLoS One, 11, e0146408, 10.1371/journal.pone.0146408 · DOI
  10. McShan, 2019, The bacteriophages of Streptococcus pyogenes, Microbiol. Spectr., 10.1128/microbiolspec.GPP3-0059-2018 · DOI
  11. Norrby-Teglund, 2000, Host-microbe interactions in the pathogenesis of invasive group A treptococcal infections, J. Med. Microbiol., 49, 849, 10.1099/0022-1317-49-10-849 · DOI
  12. Moon, 2016, Structural characterization of the virulence factor Sda1 nuclease from Streptococcus pyogenes, Nucleic Acids Res., 44, 3946, 10.1093/nar/gkw143 · DOI
  13. Beres, 2002, Genome sequence of a serotype M3 strain of Group A Streptococcus: phage-encoded toxins, the high-virulence phenotype, and clone emergence, Proc. Natl Acad. Sci. U.S.A., 99, 10078, 10.1073/pnas.152298499 · DOI
  14. Le Breton, 2013, Genetic manipulation of Streptococcus pyogenes (the Group A Streptococcus, GAS), Curr. Protoc. Microbiol., 30, 9D.3.1
  15. Mashburn-Warren, 2010, A novel double-tryptophan peptide pheromone controls competence in Streptococcus spp. via an Rgg regulator, Mol. Microbiol., 78, 589, 10.1111/j.1365-2958.2010.07361.x · DOI
  16. Mashburn-Warren, 2012, The cryptic competence pathway in Streptococcus pyogenes is controlled by a peptide pheromone, J. Bacteriol., 194, 4589, 10.1128/JB.00830-12 · DOI
  17. Marks, 2014, Streptococcus pyogenes biofilm growth in vitro and in vivo and its role in colonization, virulence, and genetic exchange, J. Infect. Dis., 210, 25, 10.1093/infdis/jiu058 · DOI
  18. Neiditch, 2017, Genetic and structural analyses of RRNPP intercellular peptide signaling of Gram-positive bacteria, Annu. Rev. Genet., 51, 311, 10.1146/annurev-genet-120116-023507 · DOI
  19. Shanker, 2016, Pheromone recognition and selectivity by ComR proteins among Streptococcusspecies, PLoS Pathog., 12, e1005979, 10.1371/journal.ppat.1005979 · DOI
  20. Talagas, 2016, Structural insights into streptococcal competence regulation by the cell-to-cell communication system ComRS, PLoS Pathog., 12, e1005980, 10.1371/journal.ppat.1005980 · DOI
  21. Mashburn-Warren, 2018, The conserved mosaic prophage protein paratox inhibits the natural competence regulator ComR in Streptococcus, Sci. Rep., 8, 16535, 10.1038/s41598-018-34816-7 · DOI
  22. Rutbeek, 2021, Molecular mechanism of quorum sensing inhibition in Streptococcusby the phage protein paratox, J. Biol. Chem., 297, 100992, 10.1016/j.jbc.2021.100992 · DOI
  23. Aziz, 2005, Mosaic prophages with horizontally acquired genes account for the emergence and diversification of the globally disseminated M1T1 clone of Streptococcus pyogenes, J. Bacteriol., 187, 3311, 10.1128/JB.187.10.3311-3318.2005 · DOI
  24. Shah, 2021, A phage-encoded anti-activator inhibits quorum sensing in Pseudomonas aeruginosa, Mol. Cell, 81, 571, 10.1016/j.molcel.2020.12.011 · DOI
  25. van de Rijn, 1980, Growth characteristics of group A streptococci in a new chemically defined medium, Infect. Immun., 27, 444, 10.1128/iai.27.2.444-448.1980 · DOI
  26. Craig, 2004, TANDEM: matching proteins with tandem mass spectra, Bioinformatics, 20, 1466, 10.1093/bioinformatics/bth092 · DOI
  27. Kabsch, 2010, Xds, Acta Crystallogr. D Biol. Crystallogr., 66, 125, 10.1107/S0907444909047337 · DOI · Paper page
  28. Winn, 2011, Overview of the CCP4 suite and current developments, Acta Crystallogr. D Biol. Crystallogr., 67, 235, 10.1107/S0907444910045749 · DOI · Paper page
  29. Adams, 2010, PHENIX: a comprehensive Python-based system for macromolecular structure solution, Acta Crystallogr. D Biol. Crystallogr., 66, 213, 10.1107/S0907444909052925 · DOI · Paper page
  30. Murshudov, 1997, Refinement of macromolecular structures by the maximum-likelihood method, Acta Crystallogr. D Biol. Crystallogr., 53, 240, 10.1107/S0907444996012255 · DOI
  31. Painter, 2006, TLSMD web server for the generation of multi-group TLS models, J. Appl. Crystallogr., 39, 109, 10.1107/S0021889805038987 · DOI
  32. Pettersen, 2021, UCSF ChimeraX: structure visualization for researchers, educators, and developers, Protein Sci., 30, 70, 10.1002/pro.3943 · DOI
  33. Fenyo, 2003, A method for assessing the statistical significance of mass spectrometry-based protein identifications using general scoring schemes, Anal. Chem., 75, 768, 10.1021/ac0258709 · DOI
  34. Mellacheruvu, 2013, The CRAPome: a contaminant repository for affinity purification-mass spectrometry data, Nat. Methods, 10, 730, 10.1038/nmeth.2557 · DOI · Paper page
  35. Rozman Grinberg, 2022, A nucleotide-sensing oligomerization mechanism that controls NrdR-dependent transcription of ribonucleotide reductases, Nat. Commun., 13, 2700, 10.1038/s41467-022-30328-1 · DOI
  36. Khavnekar, 2017, Structural insights into dynamics of RecU-HJ complex formation elucidates key role of NTR and stalk region toward formation of reactive state, Nucleic Acids Res., 45, 975, 10.1093/nar/gkw1165 · DOI
  37. Linares, 2020, Structure, function and assembly of the long, flexible tail of siphophages, Curr. Opin. Virol., 45, 34, 10.1016/j.coviro.2020.06.010 · DOI
  38. Kim, 2005, Crystal structure of DNA sequence specificity subunit of a type I restriction-modification enzyme and its functional implications, Proc. Natl Acad. Sci. U.S.A., 102, 3248, 10.1073/pnas.0409851102 · DOI
  39. Gao, 2020, Structural insights into assembly, operation and inhibition of a type I restriction-modification system, Nat. Microbiol., 5, 1107, 10.1038/s41564-020-0731-z · DOI
  40. Liu, 2017, Structural basis underlying complex assembly and conformational transition of the type I R-M system, Proc. Natl Acad. Sci. U.S.A., 114, 11151, 10.1073/pnas.1711754114 · DOI
  41. Asakereh, 2024, The Streptococcus phage protein paratox is an intrinsically disordered protein, Protein Sci., 33, e5037, 10.1002/pro.5037 · DOI
  42. Krissinel, 2007, Inference of macromolecular assemblies from crystalline state, J. Mol. Biol., 372, 774, 10.1016/j.jmb.2007.05.022 · DOI
  43. Brady, 2021, Molecular basis of lysis-lysogeny decisions in Gram-positive phages, Annu. Rev. Microbiol., 75, 563, 10.1146/annurev-micro-033121-020757 · DOI
  44. Jain, 2004, Structure of a ternary transcription activation complex, Mol. Cell, 13, 45, 10.1016/S1097-2765(03)00483-0 · DOI
  45. Hochschild, 2009, The bacteriophage lambda CI protein finds an asymmetric solution, Curr. Opin. Struct. Biol., 19, 79, 10.1016/j.sbi.2008.12.008 · DOI
  46. Hofler, 2020, Structural and functional roles of 2'-O-ribose methylations and their enzymatic machinery across multiple classes of RNAs, Curr. Opin. Struct. Biol., 65, 42, 10.1016/j.sbi.2020.05.008 · DOI
  47. Luo, 2001, Crystal structure of LexA: a conformational switch for regulation of self-cleavage, Cell, 106, 585, 10.1016/S0092-8674(01)00479-2 · DOI
  48. Zhang, 2010, Structure of the LexA-DNA complex and implications for SOS box measurement, Nature, 466, 883, 10.1038/nature09200 · DOI
  49. Wiafe-Kwakye, 2024, Comparative genomic analysis of prophages in human vaginal isolates of Streptococcus agalactiae, Pathogens, 13, 610, 10.3390/pathogens13080610 · DOI
  50. Foley, 1998, A short noncoding viral DNA element showing characteristics of a replication origin confers bacteriophage resistance to Streptococcus thermophilus, Virology, 250, 377, 10.1006/viro.1998.9387 · DOI
  51. da Silva Duarte, 2018, A cryptic non-inducible prophage confers phage-immunity on the Streptococcus thermophilus M17PTZA496, Viruses, 11, 7, 10.3390/v11010007 · DOI
  52. Macmaster, 2006, RusA Holliday junction resolvase: DNA complex structure–insights into selectivity and specificity, Nucleic Acids Res., 34, 5577, 10.1093/nar/gkl447 · DOI
  53. Rafferty, 2003, The structure of Escherichia coli RusA endonuclease reveals a new Holliday junction DNA binding fold, Structure, 11, 1557, 10.1016/j.str.2003.11.004 · DOI
  54. Gao, 2023, Structural basis for regulation of SOS response in bacteria, Proc. Natl Acad. Sci. U.S.A., 120, e2217493120, 10.1073/pnas.2217493120 · DOI

Metadata

Authors
Muna, T. H., Rutbeek, N. R., Horne, J., Lao, Y. W., Krokhin, O. V., & Prehna, G.
Affiliations
University of Manitoba (CA)
Corresponding author
Prehna, Gerd
Venue
Nucleic Acids Research
Published
2024-12-14
Volume
53
Issue
2
ISSN
  • 0305-1048 (ISSN-L)
  • 1362-4962
OpenAlex
W4405393663
Cited by
0
References
1
FWCI
0.00
Type
journal article
Language
en
Open access
Locations
  • Nucleic Acids Research (publishedVersion, cc-by-nc)
  • bioRxiv (Cold Spring Harbor Laboratory) (acceptedVersion, cc-by-nc-nd)
  • PubMed Central (publishedVersion, cc-by-nc)
  • PubMed (publishedVersion)
Funders
  • Natural Sciences and Engineering Research Council of Canada (RGPIN-2018-04968)
  • Manitoba Medical Service Foundation (8-2020-10)
  • Canadian Foundation for Innovation (37841)
  • University of Manitoba
  • NSERC (RGPIN-2022-05015)
Topics
  • Life Sciences › Immunology and Microbiology › Virology › Bacteriophages and microbial interactions
  • Health Sciences › Medicine › Infectious Diseases › Streptococcal Infections and Treatments
  • Life Sciences › Biochemistry, Genetics and Molecular Biology › Genetics › Bacterial Genetics and Biotechnology
Keywords
Streptococcus pyogenes, prophages, metabolic regulation, quorum sensing, natural competence, protein-protein interaction
MeSH terms
Bacterial Proteins, Binding Sites, DNA-Binding Proteins, Models, Molecular, Protein Binding, Streptococcus pyogenes, Transcription Factors, Viral Proteins, Gene Expression Regulation, Bacterial, Streptococcus Phages, Crystallography, X-Ray

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review