Evidence map›Paper›PMID 29505613›Full record

ArticlePLoS pathogens2018

TnSeq of Mycobacterium tuberculosis clinical isolates reveals strain-specific antibiotic liabilities.

Allison F Carey, Jeremy M Rock, Inna V Krieger, Michael R Chase, Marta Fernandez-Suarez, Sebastien Gagneux, James C Sacchettini, Thomas R Ioerger, Sarah M Fortune

Erratum issuedOpen access · goldAbstract read
In one paragraph

Article in PLoS pathogens, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 70 papers.

0numbers the graph read from it
0cells of the map it votes in
70citing papers in PubMed
8.4field-weighted citation impact, top 2% 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

70 citing papers in PubMed, 132 citations in OpenAlex.

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  19. Predicting fitness inFrontiers in tuberculosis · 2025
    Article
  20. Review

10 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

9 authors at 4 institutions in 2 countries.

Allison F CareyDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Jeremy M RockDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Inna V KriegerDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas, United States of America.
Michael R ChaseDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0002-9789-0542
Marta Fernandez-SuarezDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.ORCID 0000-0002-5661-666X
Sebastien GagneuxDepartment of Medical Parasitology and Infection Biology, Swiss Tropical and Public Health Institute, Basel, Switzerland.
James C SacchettiniDepartment of Biochemistry and Biophysics, Texas A&M University, College Station, Texas, United States of America.
Thomas R IoergerDepartment of Computer Science, Texas A&M University, College Station, Texas, United States of America.ORCID 0000-0001-8702-9102
Sarah M FortuneDepartment of Immunology and Infectious Diseases, Harvard T.H. Chan School of Public Health, Boston, Massachusetts, United States of America.
Harvard University · USTexas A&M University · USBroad Institute · USSwiss Tropical and Public Health Institute · CH

Funding

Vulnerabilities in Mycobacterial Cell-Wall BiogenesisP01AI095208 · NIAID · UNIVERSITY OF CALIFORNIA-IRVINE · PI SACCHETTINI, JAMES C · 2012 to 2022
$19.8M
INFECTIOUS DISEASE AND BASIC MICROBIOLOGICAL MECHANISMST32AI007061 · NIAID · MASSACHUSETTS GENERAL HOSPITAL · PI Marcia B Goldberg · 1985 to 2026
$12.1M
Systems Genetics of TuberculosisP01AI132130 · NIAID · UNIV OF MASSACHUSETTS MED SCH WORCESTER · PI BEHAR, SAMUEL M · 2017 to 2021
$11.2M
MOLECULAR IMMUNOLOGY AND TUMOR BIOLOGYT32CA009216 · NCI · MASSACHUSETTS GENERAL HOSPITAL · PI David Michael Langenau · 1985 to 2026
$10.6M
The Consequences of Reinfection with M. tuberculosisR01AI114674 · NIAID · UNIVERSITY OF PITTSBURGH AT PITTSBURGH · PI FLYNN, JOANNE L., FORTUNE, SARAH · 2015 to 2019
$3.4M
NCI NIH HHS T32 CA009216NIAID NIH HHS P01 AI095208NIAID NIH HHS P01 AI132130NIAID NIH HHS R01 AI114674NIAID NIH HHS T32 AI007061NIH HHS P01-AI095208NIH HHS R01-AI114674
6 · The paper itself

Abstract

Once considered a phenotypically monomorphic bacterium, there is a growing body of work demonstrating heterogeneity among Mycobacterium tuberculosis (Mtb) strains in clinically relevant characteristics, including virulence and response to antibiotics. However, the genetic and molecular basis for most phenotypic differences among Mtb strains remains unknown. To investigate the basis of strain variation in Mtb, we performed genome-wide transposon mutagenesis coupled with next-generation sequencing (TnSeq) for a panel of Mtb clinical isolates and the reference strain H37Rv to compare genetic requirements for in vitro growth across these strains. We developed an analytic approach to identify quantitative differences in genetic requirements between these genetically diverse strains, which vary in genomic structure and gene content. Using this methodology, we found differences between strains in their requirements for genes involved in fundamental cellular processes, including redox homeostasis and central carbon metabolism. Among the genes with differential requirements were katG, which encodes the activator of the first-line antitubercular agent isoniazid, and glcB, which encodes malate synthase, the target of a novel small-molecule inhibitor. Differences among strains in their requirement for katG and glcB predicted differences in their response to these antimicrobial agents. Importantly, these strain-specific differences in antibiotic response could not be predicted by genetic variants identified through whole genome sequencing or by gene expression analysis. Our results provide novel insight into the basis of variation among Mtb strains and demonstrate that TnSeq is a scalable method to predict clinically important phenotypic differences among Mtb strains.

Indexed as

MutationAntitubercular AgentsBacterial ProteinsDNA Transposable ElementsDrug Resistance, Multiple, BacterialGenome, BacterialHigh-Throughput Nucleotide SequencingHumansMycobacterium tuberculosisPhenotypeTuberculosisWhole Genome SequencingAntitubercular AgentsBacterial ProteinsDNA Transposable Elements

Identifiers

PMID29505613
PMCPMC5854444
OpenAlexW2789232208

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.