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Updated: Jan 27, 2026

Development and Assessment of Intracellular Infection Models for Staphylococcus aureus
Published on: January 17, 2025
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.
Abstract:
The extensive use of daptomycin for treating complex methicillin-resistant Staphylococcus aureus infections has led to the emergence of daptomycin-resistant strains. Although genomic studies have identified mutations associated with daptomycin resistance, they have not necessarily provided insight into the evolution and hierarchy of genetic changes that confer resistance, particularly as antibiotic concentrations are increased. Additionally, plate-dependent in vitro analyses that passage bacteria in the presence of antibiotics can induce selective pressures unrelated to antibiotic exposure. We established a continuous culture bioreactor model that exposes S. aureus strain N315 to increasing concentrations of daptomycin without the confounding effects of nutritional depletion to further understand the evolution of drug resistance and validate the bioreactor as a method that produces clinically relevant results. Samples were collected every 24 h for a period of 14 days and minimum inhibitory concentrations were determined to monitor the acquisition of daptomycin resistance. The collected samples were then subjected to whole genome sequencing. The development of daptomycin resistance in N315 was associated with previously identified mutations in genes coding for proteins that alter cell membrane charge and composition. Although genes involved in metabolic functions were also targets of mutation, the common route to resistance relied on a combination of mutations at a few key loci. Tracking the frequency of each mutation throughout the experiment revealed that mutations need not arise progressively in response to increasing antibiotic concentrations and that most mutations were present at low levels within populations earlier than would be recorded based on single-nucleotide polymorphism (SNP) filtering criteria. In contrast, a serial-passaged population showed only one mutation in a gene associated with resistance and provided limited detail on the changes that occur upon exposure to higher drug dosages. To conclude, this study demonstrates the successful in vitro modeling of antibiotic resistance in a bioreactor and highlights the evolutionary paths associated with the acquisition of daptomycin non-susceptibility.
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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