Insights Into the Evolution of Staphylococcus aureus Daptomycin Resistance From an in vitro Bioreactor Model

Erica Lasek-Nesselquist1, Jackson Lu2, Ryan Schneider3

  • 1Wadsworth Center, New York State Department of Health, Albany, NY, United States.

Insights

A novel bioreactor model effectively tracked the evolution of daptomycin resistance in Staphylococcus aureus. This method revealed key genetic mutations and their early emergence, offering insights into antibiotic resistance development.

Area of Science:

  • Microbiology
  • Genomics
  • Infectious Diseases

Background:

  • Extensive daptomycin use drives resistance in Staphylococcus aureus.
  • Genomic studies identify resistance mutations but lack evolutionary context.
  • Plate-based methods may introduce confounding selective pressures.

Purpose of the Study:

  • To model daptomycin resistance evolution in Staphylococcus aureus using a continuous culture bioreactor.
  • To validate the bioreactor as a method for generating clinically relevant antibiotic resistance data.
  • To understand the hierarchy and evolutionary pathways of genetic changes conferring daptomycin resistance.

Main Methods:

  • Established a continuous culture bioreactor exposing S. aureus N315 to increasing daptomycin concentrations.
  • Monitored minimum inhibitory concentrations (MICs) over 14 days.
  • Performed whole-genome sequencing on collected samples.

Main Results:

  • Daptomycin resistance acquisition involved mutations in genes affecting cell membrane charge and composition.
  • A combination of mutations at key loci, rather than progressive accumulation, characterized resistance.
  • Most resistance-conferring mutations were present at low frequencies earlier than typically detected.

Conclusions:

  • The bioreactor model successfully simulates daptomycin resistance evolution in vitro.
  • Antibiotic resistance development is complex, involving early emergence of multiple mutations.
  • This approach provides a more comprehensive understanding of antibiotic resistance pathways.

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