Increasing the Affinity of an O-Antigen Polysaccharide Binding Site in Shigella flexneri Bacteriophage Sf6 Tailspike

Sonja Kunstmann1,2,3, Olof Engström4, Marko Wehle2

  • 1Physikalische Biochemie, Universität Potsdam, Karl-Liebknecht-Str. 24-25, 14476, Potsdam, Germany.

Insights

Bacteriophage tailspike proteins (TSP) can be engineered for sensitive pathogen detection. Molecular dynamics and surface plasmon resonance guided the development of improved Shigella flexneri sensors.

Area of Science:

  • Microbiology
  • Biotechnology
  • Structural Biology

Background:

  • Broad antibiotic use drives antimicrobial resistance, necessitating precise pathogen detection.
  • Bacteriophages possess tailspike proteins (TSPs) that bind specific surface glycans, offering potential for pathogen sensor development.
  • Tailspike proteins (TSPs) from bacteriophages are promising platforms for creating specific pathogen sensors.

Purpose of the Study:

  • To engineer bacteriophage Sf6 TSP variants with enhanced sensitivity for detecting Shigella flexneri.
  • To investigate the correlation between predicted ligand flexibility and binding strength for sensor optimization.
  • To validate in silico methods for guiding TSP-based sensor design.

Main Methods:

  • Utilized 2D 1H,1H-trNOESY NMR to determine polyrhamnose backbone conformations.
  • Employed molecular dynamics (MD) simulations to predict ligand flexibility and conformations.
  • Applied surface plasmon resonance (SPR) to confirm binding strength of TSP variants to immobilized Shigella flexneri O-polysaccharide.

Main Results:

  • NMR-derived conformations closely matched MD predictions, validating the computational approach.
  • MD-predicted ligand flexibilities showed a strong correlation with experimentally determined binding strengths.
  • Engineered TSP variants demonstrated potential for increased sensitivity in sensor applications.

Conclusions:

  • In silico approaches, including MD simulations, are valuable for predicting TSP-ligand interactions and guiding sensor design.
  • Rapid screening on immobilized pathogen surfaces, like O-polysaccharide, combined with computational methods, facilitates TSP-based sensor development.
  • This study provides a framework for engineering bacteriophage TSPs into sensitive and specific pathogen detection systems.