Evidence map›Paper›PMID 23990803›Full record

ArticlePLoS genetics2013

Combining quantitative genetic footprinting and trait enrichment analysis to identify fitness determinants of a bacterial pathogen.

Travis J Wiles, J Paul Norton, Colin W Russell, Brian K Dalley, Kael F Fischer, Matthew A Mulvey

Open access · goldAbstract read
In one paragraph

Article in PLoS genetics, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 28 papers.

0numbers the graph read from it
0cells of the map it votes in
28citing papers in PubMed
1.8field-weighted citation impact, top 15% 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

28 citing papers in PubMed, 52 citations in OpenAlex.

  1. Article
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  5. Dissimilar gene repertoires ofFrontiers in plant science · 2023
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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

6 authors at 1 institution in 1 country.

Travis J WilesDivision of Microbiology and Immunology, Pathology Department, University of Utah School of Medicine, Salt Lake City, Utah, United States of America.
J Paul Norton
Colin W Russell
Brian K Dalley
Kael F Fischer
Matthew A Mulvey
University of Utah · US

Funding

TRAINING PROGRAM IN GENETICST32GM007464 · NIGMS · UNIVERSITY OF UTAH · PI GRUNWALD, DAVID J., STANFIELD, GILLIAN · 1985 to 2020
$6.1M
Training Program in Microbial PathogenesisT32AI055434 · NIAID · UTAH STATE HIGHER EDUCATION SYSTEM--UNIVERSITY OF UTAH · PI MULVEY, MATTHEW A, PLANELLES, VICENTE · 2004 to 2025
$6.0M
Bacterial Invasion and Trafficking within the BladderR01AI095647 · NIAID · UNIVERSITY OF UTAH · PI MULVEY, MATTHEW A · 2011 to 2015
$1.8M
Deciphering ExPEC Virulence MechanismsR21AI090369 · NIAID · UNIVERSITY OF UTAH · PI MULVEY, MATTHEW A · 2011 to 2012
$414k
Control of ExPEC virulence by small RNAsR21AI088086 · NIAID · UNIVERSITY OF UTAH · PI MULVEY, MATTHEW A · 2010 to 2011
$412k
NIAID NIH HHS AI088086NIAID NIH HHS AI090369NIAID NIH HHS AI095647NIAID NIH HHS R01 AI095647NIAID NIH HHS R21 AI088086NIAID NIH HHS R21 AI090369NIAID NIH HHS T32 AI055434NIGMS NIH HHS T32 GM007464NIGMS NIH HHS T32-GM007464
6 · The paper itself

Abstract

Strains of Extraintestinal Pathogenic Escherichia c oli (ExPEC) exhibit an array of virulence strategies and are a major cause of urinary tract infections, sepsis and meningitis. Efforts to understand ExPEC pathogenesis are challenged by the high degree of genetic and phenotypic variation that exists among isolates. Determining which virulence traits are widespread and which are strain-specific will greatly benefit the design of more effective therapies. Towards this goal, we utilized a quantitative genetic footprinting technique known as transposon insertion sequencing (Tn-seq) in conjunction with comparative pathogenomics to functionally dissect the genetic repertoire of a reference ExPEC isolate. Using Tn-seq and high-throughput zebrafish infection models, we tracked changes in the abundance of ExPEC variants within saturated transposon mutant libraries following selection within distinct host niches. Nine hundred and seventy bacterial genes (18% of the genome) were found to promote pathogen fitness in either a niche-dependent or independent manner. To identify genes with the highest therapeutic and diagnostic potential, a novel Trait Enrichment Analysis (TEA) algorithm was developed to ascertain the phylogenetic distribution of candidate genes. TEA revealed that a significant portion of the 970 genes identified by Tn-seq have homologues more often contained within the genomes of ExPEC and other known pathogens, which, as suggested by the first axiom of molecular Koch's postulates, is considered to be a key feature of true virulence determinants. Three of these Tn-seq-derived pathogen-associated genes--a transcriptional repressor, a putative metalloendopeptidase toxin and a hypothetical DNA binding protein--were deleted and shown to independently affect ExPEC fitness in zebrafish and mouse models of infection. Together, the approaches and observations reported herein provide a resource for future pathogenomics-based research and highlight the diversity of factors required by a single ExPEC isolate to survive within varying host environments.

Indexed as

AnimalsDisease Models, AnimalDNA Transposable ElementsEscherichia coliGenetic FitnessGenome, BacterialMeningitisMicePhylogenySepsisUrinary Tract InfectionsZebrafishDNA Transposable Elements

Identifiers

PMID23990803
PMCPMC3749937
OpenAlexW2092074715

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.