1887

Abstract

Antimicrobial resistance poses an escalating global threat, rendering traditional drug development approaches increasingly ineffective. Thus, novel alternatives to antibiotic-based therapies are needed. Exploiting pathogen cooperation as a strategy for combating resistant infections has been proposed but lacks experimental validation. Empirical findings demonstrate the successful invasion of cooperating populations by non-cooperating cheats, effectively reducing virulence and . The idea of harnessing cooperative behaviours for therapeutic benefit involves exploitation of the invasive capabilities of cheats to drive medically beneficial traits into infecting populations of cells. In this study, we employed quorum sensing cheats to drive antibiotic sensitivity into both and resistant populations. We demonstrated the successful invasion of cheats, followed by increased antibiotic effectiveness against cheat-invaded populations, thereby establishing an experimental proof of principle for the potential application of the Trojan strategy in fighting resistant infections.

Funding
This study was supported by the:
  • National Institutes of Health (Award R01AI153116)
    • Principle Award Recipient: StephenP. Diggle
  • European Research Council (Award 647586)
    • Principle Award Recipient: AshleighS. Griffin
  • This is an open-access article distributed under the terms of the Creative Commons Attribution License. This article was made open access via a Publish and Read agreement between the Microbiology Society and the corresponding author’s institution.
Loading

Article metrics loading...

/content/journal/micro/10.1099/mic.0.001454
2024-04-30
2024-05-17
Loading full text...

Full text loading...

/deliver/fulltext/micro/170/4/mic001454.html?itemId=/content/journal/micro/10.1099/mic.0.001454&mimeType=html&fmt=ahah

References

  1. Dadgostar P. Antimicrobial resistance: implications and costs. Infect Drug Resist 2019; 12:3903–3910 [View Article] [PubMed]
    [Google Scholar]
  2. Hofer U. The cost of antimicrobial resistance. Nat Rev Microbiol 2019; 17:3 [View Article]
    [Google Scholar]
  3. Allen RC, Popat R, Diggle SP, Brown SP. Targeting virulence: can we make evolution-proof drugs?. Nat Rev Microbiol 2014; 12:300–308 [View Article] [PubMed]
    [Google Scholar]
  4. Brown SP, West SA, Diggle SP, Griffin AS. Social evolution in micro-organisms and a Trojan horse approach to medical intervention strategies. Phil Trans R Soc B 2009; 364:3157–3168 [View Article]
    [Google Scholar]
  5. Gurney J, Simonet C, Wollein Waldetoft K, Brown SP. Challenges and opportunities for cheat therapy in the control of bacterial infections. Nat Prod Rep 2022; 39:325–334 [View Article] [PubMed]
    [Google Scholar]
  6. Lissens M, Joos M, Lories B, Steenackers HP. Evolution-proof inhibitors of public good cooperation: a screening strategy inspired by social evolution theory. FEMS Microbiol Rev 2022; 46:fuac019 [View Article] [PubMed]
    [Google Scholar]
  7. Hamilton WD. The genetical evolution of social behaviour. I. J Theor Biol 1964; 7:1–16 [View Article] [PubMed]
    [Google Scholar]
  8. Hamilton WD. The genetical evolution of social behaviour. II. J Theor Biol 1964; 7:17–52 [View Article] [PubMed]
    [Google Scholar]
  9. West SA, Griffin AS, Gardner A, Diggle SP. Social evolution theory for microorganisms. Nat Rev Microbiol 2006; 4:597–607 [View Article] [PubMed]
    [Google Scholar]
  10. Ghoul M, Griffin AS, West SA. Toward an evolutionary definition of cheating. Evolution 2014; 68:318–331 [View Article] [PubMed]
    [Google Scholar]
  11. Ghoul M, West SA, Diggle SP, Griffin AS. An experimental test of whether cheating is context dependent. J Evol Biol 2014; 27:551–556 [View Article] [PubMed]
    [Google Scholar]
  12. Griffin AS, West SA, Buckling A. Cooperation and competition in pathogenic bacteria. Nature 2004; 430:1024–1027 [View Article] [PubMed]
    [Google Scholar]
  13. Ross-Gillespie A, Gardner A, West SA, Griffin AS. Frequency dependence and cooperation: theory and a test with bacteria. Am Nat 2007; 170:331–342 [View Article] [PubMed]
    [Google Scholar]
  14. Ross-Gillespie A, Gardner A, Buckling A, West SA, Griffin AS. Density dependence and cooperation: theory and a test with bacteria. Evolution 2009; 63:2315–2325 [View Article] [PubMed]
    [Google Scholar]
  15. Harrison F, Browning LE, Vos M, Buckling A. Cooperation and virulence in acute Pseudomonas aeruginosa infections. BMC Biol 2006; 4:21 [View Article] [PubMed]
    [Google Scholar]
  16. Rumbaugh KP, Diggle SP, Watters CM, Ross-Gillespie A, Griffin AS et al. Quorum sensing and the social evolution of bacterial virulence. Curr Biol 2009; 19:341–345 [View Article] [PubMed]
    [Google Scholar]
  17. Diard M, Garcia V, Maier L, Remus-Emsermann MNP, Regoes RR et al. Stabilization of cooperative virulence by the expression of an avirulent phenotype. Nature 2013; 494:353–356 [View Article] [PubMed]
    [Google Scholar]
  18. Pollitt EJG, West SA, Crusz SA, Burton-Chellew MN, Diggle SP. Cooperation, quorum sensing, and evolution of virulence in Staphylococcus aureus. Infect Immun 2014; 82:1045–1051 [View Article] [PubMed]
    [Google Scholar]
  19. Kümmerli R, Santorelli LA, Granato ET, Dumas Z, Dobay A et al. Co-evolutionary dynamics between public good producers and cheats in the bacterium Pseudomonas aeruginosa. J Evol Biol 2015; 28:2264–2274 [View Article] [PubMed]
    [Google Scholar]
  20. Kümmerli R, Griffin AS, West SA, Buckling A, Harrison F. Viscous medium promotes cooperation in the pathogenic bacterium Pseudomonas aeruginosa. Proc Biol Sci 2009; 276:3531–3538 [View Article] [PubMed]
    [Google Scholar]
  21. Mund A, Diggle SP, Harrison F. The fitness of Pseudomonas aeruginosa quorum sensing signal cheats is influenced by the diffusivity of the environment. mBio 2017; 8:e00353-17 [View Article] [PubMed]
    [Google Scholar]
  22. San Millan A, Toll-Riera M, Escudero JA, Cantón R, Coque TM et al. Sequencing of plasmids pAMBL1 and pAMBL2 from Pseudomonas aeruginosa reveals a blaVIM-1 amplification causing high-level carbapenem resistance. J Antimicrob Chemother 2015; 70:3000–3003 [View Article] [PubMed]
    [Google Scholar]
  23. Choi K-H, Schweizer HP. mini-Tn7 insertion in bacteria with single attTn7 sites: example Pseudomonas aeruginosa. Nat Protoc 2006; 1:153–161 [View Article]
    [Google Scholar]
  24. Popat R, Crusz SA, Messina M, Williams P, West SA et al. Quorum-sensing and cheating in bacterial biofilms. Proc R Soc B 2012; 279:4765–4771 [View Article]
    [Google Scholar]
  25. Hoffman LR, Kulasekara HD, Emerson J, Houston LS, Burns JL et al. Pseudomonas aeruginosa lasR mutants are associated with cystic fibrosis lung disease progression. J Cyst Fibros 2009; 8:66–70 [View Article]
    [Google Scholar]
  26. Dalton T, Dowd SE, Wolcott RD, Sun Y, Watters C et al. An in vivo polymicrobial biofilm wound infection model to study interspecies interactions. PLoS One 2011; 6:e27317 [View Article] [PubMed]
    [Google Scholar]
  27. Holder IA, Brown RL, Greenhalgh DG. Mouse models to study wound closure and topical treatment of infected wounds in healing‐impaired and normal healing hosts. Wound Repair Regen 1997; 5:198–204 [View Article]
    [Google Scholar]
  28. Musk DJ, Hergenrother PJ. Chemical countermeasures for the control of bacterial biofilms: effective compounds and promising targets. Curr Med Chem 2006; 13:2163–2177 [View Article] [PubMed]
    [Google Scholar]
  29. Reddy M, Gill SS, Wu W, Kalkar SR, Rochon PA. Does this patient have an infection of a chronic wound?. JAMA 2012; 307:605–611 [View Article] [PubMed]
    [Google Scholar]
  30. Gardner SE, Frantz RA, Doebbeling BN. The validity of the clinical signs and symptoms used to identify localized chronic wound infection. Wound Repair Regen 2001; 9:178–186 [View Article] [PubMed]
    [Google Scholar]
  31. Eberhard MJW. The evolution of social behavior by kin selection. Q Rev Biol 1975; 50:1–33 [View Article]
    [Google Scholar]
  32. West SA, Diggle SP, Buckling A, Gardner A, Griffin AS. The social lives of microbes. Annu Rev Ecol Evol Syst 2007; 38:53–77 [View Article]
    [Google Scholar]
  33. Jiricny N, Diggle SP, West SA, Evans BA, Ballantyne G et al. Fitness correlates with the extent of cheating in a bacterium. J Evol Biol 2010; 23:738–747 [View Article] [PubMed]
    [Google Scholar]
  34. Vernyik V, Karcagi I, Tímár E, Nagy I, Györkei Á et al. Exploring the fitness benefits of genome reduction in Escherichia coli by a selection-driven approach. Sci Rep 2020; 10:7345 [View Article] [PubMed]
    [Google Scholar]
  35. Costerton JW, Stewart PS, Greenberg EP. Bacterial biofilms: a common cause of persistent infections. Science 1999; 284:1318–1322 [View Article] [PubMed]
    [Google Scholar]
  36. Ciofu O, Tolker-Nielsen T. Tolerance and resistance of Pseudomonas aeruginosa biofilms to antimicrobial agents-how P. aeruginosa can escape antibiotics. Front Microbiol 2019; 10:913 [View Article] [PubMed]
    [Google Scholar]
  37. Fleming D, Rumbaugh KP. Approaches to dispersing medical biofilms. Microorganisms 2017; 5:15 [View Article] [PubMed]
    [Google Scholar]
  38. Gruzdev N, Pitcovski J, Katz C, Ruimi N, Eliahu D et al. Development of toxin-antitoxin self-destructive bacteria, aimed for salmonella vaccination. Vaccine 2023; 41:4918–4925 [View Article] [PubMed]
    [Google Scholar]
  39. Pasotti L, Zucca S, Lupotto M, Cusella De Angelis MG, Magni P. Characterization of a synthetic bacterial self-destruction device for programmed cell death and for recombinant proteins release. J Biol Eng 2011; 5:1–12 [View Article] [PubMed]
    [Google Scholar]
http://instance.metastore.ingenta.com/content/journal/micro/10.1099/mic.0.001454
Loading
/content/journal/micro/10.1099/mic.0.001454
Loading

Data & Media loading...

Supplements

Supplementary material 1

PDF

Supplementary material 2

EXCEL
This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error