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Analysis of the effects of mesoporous silica particles SBA-15 and SBA-16 in Streptococcus pneumoniae transformation

Maria-Cecília Krähenbühl Amstalden1,2, José Diogo Oliveira1, Mathias Strauss3,4

  • 1Department of Biochemistry and Tissue Biology, Institute of Biology, University of Campinas, Campinas, SP, Brazil.

Folia Microbiologica
|July 16, 2018
PubMed

Insights

Mesoporous silica nanoparticles, SBA-15 and SBA-16, significantly enhanced Streptococcus pneumoniae transformation efficiency. This discovery could impact bacterial genetic engineering and antibiotic resistance studies.

Area of Science:

  • Microbiology
  • Materials Science
  • Biotechnology

Background:

  • Streptococcus pneumoniae is naturally competent, requiring specific molecules for genetic transformation.
  • Bacterial transformation is crucial for gene transfer, including antibiotic resistance and virulence factors.

Purpose of the Study:

  • To investigate the effect of mesoporous silica nanoparticles (SBA-15 and SBA-16) on Streptococcus pneumoniae transformation.
  • To quantify the enhancement in transformation frequency mediated by these nanoparticles.

Main Methods:

  • Utilized a mutant strain of Streptococcus pneumoniae (Sp360∆luxS) for donor DNA.
  • Introduced mesoporous silica nanoparticles (SBA-15 and SBA-16) into the transformation system.
  • Compared transformation frequencies with and without nanoparticles.

Main Results:

  • SBA-15 and SBA-16 significantly increased the transformation ratio frequency in Streptococcus pneumoniae.
  • SBA-15 showed a transformation ratio of 1.81 ± 0.04, and SBA-16 showed 2.18 ± 0.22, approximately doubling the rate compared to controls.
  • Mesoporous silica nanoparticles effectively enhanced pneumococcal transformation.

Conclusions:

  • Mesoporous silica nanoparticles are effective enhancers of bacterial transformation in Streptococcus pneumoniae.
  • This enhancement may facilitate the acquisition of virulence and antibiotic resistance genes by pneumococci.
  • Further research could explore applications in genetic manipulation and understanding bacterial evolution.

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