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

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 i...

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Autores principales: Lasek-Nesselquist, Erica, Lu, Jackson, Schneider, Ryan, Ma, Zhuo, Russo, Vincenzo, Mishra, Smruti, Pai, Manjunath P., Pata, Janice D., McDonough, Kathleen A., Malik, Meenakshi
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Frontiers Media S.A. 2019
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413709/
https://www.ncbi.nlm.nih.gov/pubmed/30891010
http://dx.doi.org/10.3389/fmicb.2019.00345
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author Lasek-Nesselquist, Erica
Lu, Jackson
Schneider, Ryan
Ma, Zhuo
Russo, Vincenzo
Mishra, Smruti
Pai, Manjunath P.
Pata, Janice D.
McDonough, Kathleen A.
Malik, Meenakshi
author_facet Lasek-Nesselquist, Erica
Lu, Jackson
Schneider, Ryan
Ma, Zhuo
Russo, Vincenzo
Mishra, Smruti
Pai, Manjunath P.
Pata, Janice D.
McDonough, Kathleen A.
Malik, Meenakshi
author_sort Lasek-Nesselquist, Erica
collection PubMed
description 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.
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spelling pubmed-64137092019-03-19 Insights Into the Evolution of Staphylococcus aureus Daptomycin Resistance From an in vitro Bioreactor Model Lasek-Nesselquist, Erica Lu, Jackson Schneider, Ryan Ma, Zhuo Russo, Vincenzo Mishra, Smruti Pai, Manjunath P. Pata, Janice D. McDonough, Kathleen A. Malik, Meenakshi Front Microbiol Microbiology 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. Frontiers Media S.A. 2019-02-28 /pmc/articles/PMC6413709/ /pubmed/30891010 http://dx.doi.org/10.3389/fmicb.2019.00345 Text en Copyright © 2019 Lasek-Nesselquist, Lu, Schneider, Ma, Russo, Mishra, Pai, Pata, McDonough and Malik. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
spellingShingle Microbiology
Lasek-Nesselquist, Erica
Lu, Jackson
Schneider, Ryan
Ma, Zhuo
Russo, Vincenzo
Mishra, Smruti
Pai, Manjunath P.
Pata, Janice D.
McDonough, Kathleen A.
Malik, Meenakshi
Insights Into the Evolution of Staphylococcus aureus Daptomycin Resistance From an in vitro Bioreactor Model
title Insights Into the Evolution of Staphylococcus aureus Daptomycin Resistance From an in vitro Bioreactor Model
title_full Insights Into the Evolution of Staphylococcus aureus Daptomycin Resistance From an in vitro Bioreactor Model
title_fullStr Insights Into the Evolution of Staphylococcus aureus Daptomycin Resistance From an in vitro Bioreactor Model
title_full_unstemmed Insights Into the Evolution of Staphylococcus aureus Daptomycin Resistance From an in vitro Bioreactor Model
title_short Insights Into the Evolution of Staphylococcus aureus Daptomycin Resistance From an in vitro Bioreactor Model
title_sort insights into the evolution of staphylococcus aureus daptomycin resistance from an in vitro bioreactor model
topic Microbiology
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6413709/
https://www.ncbi.nlm.nih.gov/pubmed/30891010
http://dx.doi.org/10.3389/fmicb.2019.00345
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