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Consensus computational network analysis for identifying candidate outer membrane proteins from Borrelia spirochetes.

Melisha R Kenedy1, Edgar J Scott1, Binu Shrestha1

  • 1Department of Microbiology and Immunology, University of Oklahoma Health Sciences Center, Oklahoma City, Oklahoma, 73104, USA.

BMC Microbiology
|July 13, 2016
PubMed
Summary
This summary is machine-generated.

Researchers identified novel outer membrane proteins (OMPs) in Borrelia spirochetes using computational analysis. These OMPs are potential targets for understanding virulence and developing vaccines against Lyme disease and relapsing fever.

Keywords:
BorreliaLyme diseaseOuter membrane proteinsRelapsing fever

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Area of Science:

  • Microbiology
  • Structural Biology
  • Bioinformatics

Background:

  • Borrelia spirochetes, similar to Gram-negative bacteria, possess dual membranes.
  • Identifying outer membrane proteins (OMPs) in Borrelia is crucial but challenging due to limited characterization.
  • Novel OMPs are essential for understanding Borrelia physiology and pathogenesis.

Purpose of the Study:

  • To identify and characterize novel outer membrane proteins (OMPs) in Borrelia burgdorferi using computational methods.
  • To validate the computational approach by confirming the localization and function of predicted OMPs.
  • To expand the identification of OMPs to other Borrelia species, including those causing Lyme disease and relapsing fever.

Main Methods:

  • Consensus computational network analysis to predict OMP localization and beta-barrel formation.
  • Bioinformatic selection of protein-encoding sequences.
  • Experimental validation including Triton X-114 phase partitioning, proteolysis assays, and liposome incorporation.

Main Results:

  • Identified 41 potential OMPs in B. burgdorferi, with three (BB0838, BB0405, BB0406) experimentally confirmed as novel OMPs.
  • BB0838 showed characteristics of a surface-exposed membrane protein.
  • BB0405 and BB0406 were confirmed as surface-exposed OMPs, exhibiting pore-forming activity and suggesting they are porins.

Conclusions:

  • A computational approach successfully identified novel Borrelia OMPs.
  • The identified OMPs, including BB0405 and BB0406, are potential targets for further research into virulence and disease.
  • This framework enables cataloging OMPs from diderm pathogens for identifying virulence factors and vaccine candidates.