Evidence map›Paper›PMID 29396540›Full record

ArticleScientific reports2018

Genome-scale analysis of Methicillin-resistant Staphylococcus aureus USA300 reveals a tradeoff between pathogenesis and drug resistance.

Donghui Choe, Richard Szubin, Samira Dahesh, Suhyung Cho, Victor Nizet, Bernhard Palsson, Byung-Kwan Cho

Open access · goldAbstract read
In one paragraph

Article in Scientific reports, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.

0numbers the graph read from it
0cells of the map it votes in
23citing papers in PubMed
2.9field-weighted citation impact, top 9% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

23 citing papers in PubMed, 30 citations in OpenAlex.

  1. Article
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  3. Identification ofVirulence · 2023
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  15. Review
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  17. Revealing 29 sets of independently modulated genes inProceedings of the National Academy of Sciences of the United States of America · 2020
    Article
  18. STATR: A simple analysis pipeline of Ribo-Seq in bacteria.Journal of microbiology (Seoul, Korea) · 2020
    Article
  19. Article
  20. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

7 authors at 2 institutions in 2 countries.

Donghui ChoeDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Richard SzubinDepartment of Bioengineering, University of California San Diego, La Jolla, 92023, CA, USA.
Samira DaheshUniversity of California San Diego School of Medicine, La Jolla, 92023, CA, USA.
Suhyung ChoDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea.
Victor NizetUniversity of California San Diego School of Medicine, La Jolla, 92023, CA, USA. vnizet@ucsd.edu.ORCID http://orcid.org/0000-0003-3847-0422
Bernhard PalssonDepartment of Bioengineering, University of California San Diego, La Jolla, 92023, CA, USA. bpalsson@ucsd.edu.ORCID http://orcid.org/0000-0003-2357-6785
Byung-Kwan ChoDepartment of Biological Sciences, Korea Advanced Institute of Science and Technology, Daejeon, 34141, Republic of Korea. bcho@kaist.ac.kr.ORCID http://orcid.org/0000-0003-4788-4184
University of California San Diego · USKorea Advanced Institute of Science and Technology · KR

Funding

Systems Biology Approach to Redefine Susceptibility Testing and Treatment of MDR Pathogens in the Context of Host ImmunityU01AI124316 · NIAID · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 2016 to 2020
$10.2M
TRAINING & OUTREACH COREU54HD071600 · NICHD · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI CAPPARELLI, EDMUND VINCENT · 2011 to 2015
$3.6M
Model-guided Identification of Synthetic Lethal Genes for Drug Target DevelopmentR01GM098105 · NIGMS · UNIVERSITY OF CALIFORNIA, SAN DIEGO · PI PALSSON, BERNHARD O · 2011 to 2013
$1.8M
NIAID NIH HHS U01 AI124316NICHD NIH HHS U54 HD071600NIGMS NIH HHS R01 GM098105
6 · The paper itself

Abstract

Staphylococcus aureus infection is a rising public health care threat. S. aureus is believed to have elaborate regulatory networks that orchestrate its virulence. Despite its importance, the systematic understanding of the transcriptional landscape of S. aureus is limited. Here, we describe the primary transcriptome landscape of an epidemic USA300 isolate of community-acquired methicillin-resistant S. aureus. We experimentally determined 1,861 transcription start sites with their principal promoter elements, including well-conserved -35 and -10 elements and weakly conserved -16 element and 5' untranslated regions containing AG-rich Shine-Dalgarno sequence. In addition, we identified 225 genes whose transcription was initiated from multiple transcription start sites, suggesting potential regulatory functions at transcription level. Along with the transcription unit architecture derived by integrating the primary transcriptome analysis with operon prediction, the measurement of differential gene expression revealed the regulatory framework of the virulence regulator Agr, the SarA-family transcriptional regulators, and β-lactam resistance regulators. Interestingly, we observed a complex interplay between virulence regulation, β-lactam resistance, and metabolism, suggesting a possible tradeoff between pathogenesis and drug resistance in the USA300 strain. Our results provide platform resource for the location of transcription initiation and an in-depth understanding of transcriptional regulation of pathogenesis, virulence, and antibiotic resistance in S. aureus.

Indexed as

Drug Resistance, BacterialGene Expression ProfilingGene Expression Regulation, BacterialGene Regulatory NetworksMethicillin-Resistant Staphylococcus aureusPromoter Regions, GeneticRegulonTranscription Initiation SiteVirulence FactorsVirulence Factors

Identifiers

PMID29396540
PMCPMC5797083
OpenAlexW2805794351

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.