Skip to main content
  • ASM Journals
    • Antimicrobial Agents and Chemotherapy
    • Applied and Environmental Microbiology
    • Clinical Microbiology Reviews
    • Clinical and Vaccine Immunology
    • EcoSal Plus
    • Infection and Immunity
    • Journal of Bacteriology
    • Journal of Clinical Microbiology
    • Journal of Microbiology & Biology Education
    • Journal of Virology
    • mBio
    • Microbiology and Molecular Biology Reviews
    • Microbiology Resource Announcements
    • Microbiology Spectrum
    • Molecular and Cellular Biology
    • mSphere
    • mSystems
  • Log in
  • My alerts
  • My Cart

Main menu

  • Home
  • Articles
    • Latest Articles
    • Special Issues
    • COVID-19 Special Collection
    • Editor's Picks
    • Special Series: Sponsored Minireviews and Video Abstracts
    • Archive
  • Topics
    • Applied and Environmental Science
    • Ecological and Evolutionary Science
    • Host-Microbe Biology
    • Molecular Biology and Physiology
    • Novel Systems Biology Techniques
    • Early-Career Systems Microbiology Perspectives
  • For Authors
    • Getting Started
    • Submit a Manuscript
    • Scope
    • Editorial Policy
    • Submission, Review, & Publication Processes
    • Organization and Format
    • Errata, Author Corrections, Retractions
    • Illustrations and Tables
    • Nomenclature
    • Abbreviations and Conventions
    • Publication Fees
    • Ethics
  • About the Journal
    • About mSystems
    • Editor in Chief
    • Board of Editors
    • For Reviewers
    • For the Media
    • For Librarians
    • For Advertisers
    • Alerts
    • RSS
    • FAQ
  • ASM Journals
    • Antimicrobial Agents and Chemotherapy
    • Applied and Environmental Microbiology
    • Clinical Microbiology Reviews
    • Clinical and Vaccine Immunology
    • EcoSal Plus
    • Infection and Immunity
    • Journal of Bacteriology
    • Journal of Clinical Microbiology
    • Journal of Microbiology & Biology Education
    • Journal of Virology
    • mBio
    • Microbiology and Molecular Biology Reviews
    • Microbiology Resource Announcements
    • Microbiology Spectrum
    • Molecular and Cellular Biology
    • mSphere
    • mSystems

User menu

  • Log in
  • My alerts
  • My Cart

Search

  • Advanced search
mSystems
publisher-logosite-logo

Advanced Search

  • Home
  • Articles
    • Latest Articles
    • Special Issues
    • COVID-19 Special Collection
    • Editor's Picks
    • Special Series: Sponsored Minireviews and Video Abstracts
    • Archive
  • Topics
    • Applied and Environmental Science
    • Ecological and Evolutionary Science
    • Host-Microbe Biology
    • Molecular Biology and Physiology
    • Novel Systems Biology Techniques
    • Early-Career Systems Microbiology Perspectives
  • For Authors
    • Getting Started
    • Submit a Manuscript
    • Scope
    • Editorial Policy
    • Submission, Review, & Publication Processes
    • Organization and Format
    • Errata, Author Corrections, Retractions
    • Illustrations and Tables
    • Nomenclature
    • Abbreviations and Conventions
    • Publication Fees
    • Ethics
  • About the Journal
    • About mSystems
    • Editor in Chief
    • Board of Editors
    • For Reviewers
    • For the Media
    • For Librarians
    • For Advertisers
    • Alerts
    • RSS
    • FAQ
Research Article | Ecological and Evolutionary Science

Genetic Determinants Enabling Medium-Dependent Adaptation to Nafcillin in Methicillin-Resistant Staphylococcus aureus

Michael J. Salazar, Henrique Machado, Nicholas A. Dillon, Hannah Tsunemoto, Richard Szubin, Samira Dahesh, Joseph Pogliano, George Sakoulas, Bernhard O. Palsson, Victor Nizet, Adam M. Feist
Christopher W. Marshall, Editor
Michael J. Salazar
aDepartment of Bioengineering, University of California San Diego, La Jolla, California, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Henrique Machado
aDepartment of Bioengineering, University of California San Diego, La Jolla, California, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Henrique Machado
Nicholas A. Dillon
bCollaborative to Halt Antibiotic-Resistant Microbes, Department of Pediatrics, University of California San Diego, La Jolla, California, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Hannah Tsunemoto
cDepartment of Biology, University of California San Diego, La Jolla, California, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Richard Szubin
aDepartment of Bioengineering, University of California San Diego, La Jolla, California, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Samira Dahesh
bCollaborative to Halt Antibiotic-Resistant Microbes, Department of Pediatrics, University of California San Diego, La Jolla, California, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Joseph Pogliano
bCollaborative to Halt Antibiotic-Resistant Microbes, Department of Pediatrics, University of California San Diego, La Jolla, California, USA
fDivision of Biological Sciences, University of California San Diego, La Jolla, California, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
George Sakoulas
bCollaborative to Halt Antibiotic-Resistant Microbes, Department of Pediatrics, University of California San Diego, La Jolla, California, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Bernhard O. Palsson
aDepartment of Bioengineering, University of California San Diego, La Jolla, California, USA
bCollaborative to Halt Antibiotic-Resistant Microbes, Department of Pediatrics, University of California San Diego, La Jolla, California, USA
dSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
Victor Nizet
bCollaborative to Halt Antibiotic-Resistant Microbes, Department of Pediatrics, University of California San Diego, La Jolla, California, USA
dSkaggs School of Pharmacy and Pharmaceutical Sciences, University of California San Diego, La Jolla, California, USA
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Victor Nizet
Adam M. Feist
aDepartment of Bioengineering, University of California San Diego, La Jolla, California, USA
eNovo Nordisk Foundation Center for Biosustainability, Technical University of Denmark, Lyngby, Denmark
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
  • ORCID record for Adam M. Feist
Christopher W. Marshall
Marquette University
Roles: Editor
  • Find this author on Google Scholar
  • Find this author on PubMed
  • Search for this author on this site
DOI: 10.1128/mSystems.00828-19
  • Article
  • Figures & Data
  • Info & Metrics
  • PDF
Loading

Article Figures & Data

Figures

  • Tables
  • Supplemental Material
  • FIG 1
    • Open in new tab
    • Download powerpoint
    FIG 1

    Medium adaptation of S. aureus TCH1516. (A) Fitness trajectories depicting growth rate increase throughout the course of the medium adaptation ALE in RPMI+. Strains STR 1, 4, and 5 served as progenitors for the medium-adapted starting points in the tolerance evolution. (B) Clonal growth rates for single clones isolated by streaking endpoint populations. Measurements were determined from biological duplicates and an average of two consecutive flasks. STR strains are S. aureus RPMI+-adapted strains. STM strains are S. aureus CA-MHB-adapted strains. Values that are significantly different (P < 0.0001) from the value for the wild type (WT) by two-way ANOVA are indicated by a bar and asterisk. (C) ALE-derived strains maintain parental lineage virulence in a murine pneumonia model of infection. Values that are significantly different (P < 0.05) by t test with Welch’s correction are indicated by a bar and asterisk.

  • FIG 2
    • Open in new tab
    • Download powerpoint
    FIG 2

    Nafcillin adaptation of medium-adapted strains derived from S. aureus TCH1516. (A) Fitness trajectory for a typical TALE experiment, showing population growth rate and continuously increasing antibiotic concentration. The selected trajectory depicts SNFR9 exposed to nafcillin in RPMI+. (B) A plot of the MICs for selected clones from endpoint populations after nafcillin tolerization. The MICs for the wild-type TCH1516 (black squares) and TALE strains (green circles) on the respective medium are shown.

  • FIG 3
    • Open in new tab
    • Download powerpoint
    FIG 3

    Phenotypic characterization of TALE strains. (A) Growth rates of wild-type, medium-adapted, and nafcillin-adapted strains. The graph shows the measured growth rates of several selected endpoint clones for strains derived from either RPMI+ (STR and SNFR) or CA-MHB (STM and SNFM) evolutionary conditions. White bars represent clonal growth rates in CA-MHB, and gray bars represent the growth rate for the same clones in RPMI+. The graph shows the growth rates of three tolerization endpoint clones from both medium conditions along a lineage. Data presented are averages from triplicates. A comprehensive ANOVA statistical analysis is provided in Table S5 in the supplemental material. (B) Heat map of the nafcillin MIC fold change of TALE strains compared to the wild-type MIC in both medium types. STM, S. aureus CA-MHB-adapted strain; STR, S. aureus RPMI+-adapted strain; SNFM, S. aureus nafcillin-adapted strain in CA-MHB; SNFR, S. aureus nafcillin-adapted strain in RPMI+.

Tables

  • Figures
  • Supplemental Material
  • TABLE 1

    Key reproducibly occurring mutations detected in the final populations and clones of S. aureus TCH1516 after adaptive laboratory evolution in RPMI+

    TABLE 1
    • ↵a The gene locus tag corresponds to USA300HOU_RSXXXXX. The gene nomenclature provided by prokka annotation, reflected in the mutation analysis, is shown in the parentheses.

    • ↵b SNP, single nucleotide polymorphism; INS, insertion; DEL, deletion; SUB, substitution.

    • ↵c nt, nucleotide; †, mutation led to formation of a start codon.

    • ↵d p denotes population.

  • TABLE 2

    Tolerance phenotypes for S. aureus USA300_TCH1516 and medium-adapted evolved populations on CA-MHB and RPMI+a

    TABLE 2
    • ↵a Population growth rates for independent replicates were calculated by averaging the initial and final three flasks of the medium adaptation ALEs. An asterisk indicates premature end to experiment due to technical errors.

  • TABLE 3

    Key mutations for final endpoint clones of S. aureus TCH1516 after tolerance adaptive laboratory evolution in CA-MHB to nafcillin (SNFM)

    TABLE 3
    • ↵a The gene nomenclature provided by prokka annotation, reflected in the mutation analysis, is shown in the parentheses.

    • ↵b An asterisk indicates that a mutation led to a stop codon being formed.

  • TABLE 4

    Key mutations for final endpoint clones of S. aureus TCH1516 after tolerance adaptive laboratory evolution in RPMI+ to nafcillin (SNFR)

    TABLE 4
    • ↵a The gene nomenclature provided by prokka annotation, reflected in the mutation analysis, is shown in the parentheses. The gene locus tag corresponds to USA300HOU_RSXXXXX.

    • ↵b An asterisk indicates that a mutation led to a stop codon being formed.

Supplemental Material

  • Figures
  • Tables
  • TABLE S1

    MIC susceptibility testing of S. aureus TCH1516. Dagger indicates differential susceptibility greater than or equal to 4× across CA-MHB and RPMI + 10%LB. Download Table S1, DOCX file, 0.02 MB.

    Copyright © 2020 Salazar et al.

    This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

  • TABLE S2

    Growth phenotypes for S. aureus TCH1516 populations that evolved on CA-MHB and RPMI+. Download Table S2, DOCX file, 0.02 MB.

    Copyright © 2020 Salazar et al.

    This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

  • TABLE S3

    Mutations identified for S. aureus TCH1516 after medium adaptation to CA-MHB. Nomenclature example A1 F29 I1 R1 = ALE 1 Flask 29 Isolate (I1 = clone, I0 = population) Replicate 1. Download Table S3, XLSX file, 0.01 MB.

    Copyright © 2020 Salazar et al.

    This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

  • TABLE S4

    Mutations identified for S. aureus TCH1516 after medium adaptation to RPMI+. Nomenclature example A1 F29 I1 R1 = ALE 1 Flask 29 Isolate (I1 = clone, I0 = population) Replicate 1. Download Table S4, XLSX file, 0.06 MB.

    Copyright © 2020 Salazar et al.

    This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

  • TEXT S1

    RPMI+ medium adaptation additional mutations Download Text S1, DOCX file, 0.02 MB.

    Copyright © 2020 Salazar et al.

    This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

  • FIG S1

    Fitness trajectory for a typical TALE experiment, showing population growth rate and continuously increasing antibiotic concentration. The selected trajectory depicts SNFM15 exposed to nafcillin in CA-MHB. Download FIG S1, EPS file, 0.1 MB.

    Copyright © 2020 Salazar et al.

    This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

  • TABLE S5

    Nafcillin sensitivity of medium-adapted strains Download Table S5, DOCX file, 0.02 MB.

    Copyright © 2020 Salazar et al.

    This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

  • TABLE S6

    Comparison of growth rates determined for clonal isolates, using two-way ANOVA analysis in Graphpad Prism 7.04. Download Table S6, DOCX file, 0.02 MB.

    Copyright © 2020 Salazar et al.

    This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

  • TABLE S7

    Mutations identified for S. aureus TCH1516 during nafcillin tolerance in RPMI+. Nomenclature example A1 F29 I1 R1 = ALE 1 Flask 29 Isolate (I1 = clone, I0 = population) Replicate 1. Download Table S7, XLSX file, 0.04 MB.

    Copyright © 2020 Salazar et al.

    This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

  • TABLE S8

    Mutations identified for S. aureus TCH1516 during nafcillin tolerance in CA-MHB. Nomenclature example A1 F29 I1 R1 = ALE 1 Flask 29 Isolate (I1 = clone, I0 = population) Replicate 1. Download Table S8, XLSX file, 0.03 MB.

    Copyright © 2020 Salazar et al.

    This content is distributed under the terms of the Creative Commons Attribution 4.0 International license.

PreviousNext
Back to top
Download PDF
Citation Tools
Genetic Determinants Enabling Medium-Dependent Adaptation to Nafcillin in Methicillin-Resistant Staphylococcus aureus
Michael J. Salazar, Henrique Machado, Nicholas A. Dillon, Hannah Tsunemoto, Richard Szubin, Samira Dahesh, Joseph Pogliano, George Sakoulas, Bernhard O. Palsson, Victor Nizet, Adam M. Feist
mSystems Mar 2020, 5 (2) e00828-19; DOI: 10.1128/mSystems.00828-19

Citation Manager Formats

  • BibTeX
  • Bookends
  • EasyBib
  • EndNote (tagged)
  • EndNote 8 (xml)
  • Medlars
  • Mendeley
  • Papers
  • RefWorks Tagged
  • Ref Manager
  • RIS
  • Zotero
Print
Alerts
Sign In to Email Alerts with your Email Address
Email

Thank you for sharing this mSystems article.

NOTE: We request your email address only to inform the recipient that it was you who recommended this article, and that it is not junk mail. We do not retain these email addresses.

Enter multiple addresses on separate lines or separate them with commas.
Genetic Determinants Enabling Medium-Dependent Adaptation to Nafcillin in Methicillin-Resistant Staphylococcus aureus
(Your Name) has forwarded a page to you from mSystems
(Your Name) thought you would be interested in this article in mSystems.
CAPTCHA
This question is for testing whether or not you are a human visitor and to prevent automated spam submissions.
Share
Genetic Determinants Enabling Medium-Dependent Adaptation to Nafcillin in Methicillin-Resistant Staphylococcus aureus
Michael J. Salazar, Henrique Machado, Nicholas A. Dillon, Hannah Tsunemoto, Richard Szubin, Samira Dahesh, Joseph Pogliano, George Sakoulas, Bernhard O. Palsson, Victor Nizet, Adam M. Feist
mSystems Mar 2020, 5 (2) e00828-19; DOI: 10.1128/mSystems.00828-19
del.icio.us logo Digg logo Reddit logo Twitter logo CiteULike logo Facebook logo Google logo Mendeley logo
  • Top
  • Article
    • ABSTRACT
    • INTRODUCTION
    • RESULTS
    • DISCUSSION
    • MATERIALS AND METHODS
    • ACKNOWLEDGMENT
    • FOOTNOTES
    • REFERENCES
  • Figures & Data
  • Info & Metrics
  • PDF

KEYWORDS

Staphylococcus aureus
antibiotic resistance
nafcillin
USA300
adaptive laboratory evolution
drug resistance mechanisms

Related Articles

Cited By...

About

  • About mSystems
  • Author Videos
  • Board of Editors
  • Policies
  • Overleaf Pilot
  • For Reviewers
  • For the Media
  • For Librarians
  • For Advertisers
  • Alerts
  • RSS
  • FAQ
  • Permissions
  • Journal Announcements

Authors

  • ASM Author Center
  • Submit a Manuscript
  • Author Warranty
  • Types of Articles
  • Getting Started
  • Ethics
  • Contact Us

Follow #mSystemsJ

@ASMicrobiology

       

 

ASM Journals

ASM journals are the most prominent publications in the field, delivering up-to-date and authoritative coverage of both basic and clinical microbiology.

About ASM | Contact Us | Press Room

 

ASM is a member of

Scientific Society Publisher Alliance

Copyright © 2021 American Society for Microbiology | Privacy Policy | Website feedback

Online ISSN: 2379-5077