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A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions
13:56

A Comparative Approach to Characterize the Landscape of Host-Pathogen Protein-Protein Interactions

Published on: July 18, 2013

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Informing plasmid compatibility with bacterial hosts using protein-protein interaction data

Tim Downing1, Min Jie Lee2, Conor Archbold2

  • 1School of Biotechnology, Dublin City University, Dublin, Ireland; The Pirbright Institute, UK.

Genomics
|October 23, 2022
PubMed

Insights

Computational analysis of protein interactions predicts plasmid-host compatibility, aiding antimicrobial resistance (AMR) control. High interaction rates suggest successful plasmid integration, crucial for understanding AMR spread.

Area of Science:

  • Microbiology
  • Computational Biology
  • Genetics

Background:

  • Plasmids are key vectors for antimicrobial resistance (AMR) and virulence genes.
  • In vitro screening for plasmid-host compatibility is time-consuming.
  • Computational methods can predict plasmid-host interactions.

Purpose of the Study:

  • To computationally analyze protein-protein interactions (PPIs) for predicting plasmid-host compatibility.
  • To identify potential host cells compatible with significant AMR-carrying plasmids like pOXA-48.
  • To understand the role of PPIs in plasmid establishment and AMR dissemination.

Main Methods:

  • Analysis of protein-protein interactions (PPIs) between plasmid and host cell proteins.
  • Screening of large bacterial datasets (n=4363) for interaction patterns.
  • Identification of specific plasmid-host interactions, including those with pOXA-48 and plasmids common in Escherichia coli.

Main Results:

  • Identified significant excesses of PPIs for eight key plasmids, including pOXA-48, across numerous bacterial species.
  • Found 23 species with high interaction rates for four blaOXA-48-positive plasmids.
  • Discovered 48 species with high interaction rates for plasmids prevalent in Escherichia coli, and a link between a plasmid and the pil operon enhancing adhesion.

Conclusions:

  • Excessive PPIs indicate potential host-plasmid compatibility, a critical factor in AMR spread.
  • Computational PPI analysis offers a scalable approach to predict plasmid-host compatibility.
  • Understanding these interactions is vital for developing strategies to control AMR.
Keywords:
AdhesinFimbriaeNetworkPlasmidProtein-protein interaction

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