Evidence map›Paper›PMID 24886039›Full record

ArticleBMC microbiology2014

Real-time PCR assays for genotyping of Cryptococcus gattii in North America.

Erin J Kelley, Elizabeth M Driebe, Kizee Etienne, Mary E Brandt, James M Schupp, John D Gillece, Jesse S Trujillo, Shawn R Lockhart, Eszter Deak, Paul S Keim and 1 more

Abstract readValidation Study
In one paragraph

Article in BMC microbiology, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

2 citing papers in PubMed.

  1. Article
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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

11 authors.

Erin J KelleyThe Translational Genomics Research Institute, 3051 W, Shamrell Blvd, Ste, 106, Flagstaff, AZ 86001, USA. ekelley@tgen.org.
Elizabeth M Driebe
Kizee Etienne
Mary E Brandt
James M Schupp
John D Gillece
Jesse S Trujillo
Shawn R Lockhart
Eszter Deak
Paul S Keim
David M Engelthaler

Funding

Functional genomic analyses of emerging Cryptococcus subtypes in North AmericaR21AI098059 · NIAID · TRANSLATIONAL GENOMICS RESEARCH INST · PI KEIM, PAUL STEPHEN · 2012 to 2013
$517k
NIAID NIH HHS R21AI098059
6 · The paper itself

Abstract

backgroundCryptococcus gattii has been the cause of an ongoing outbreak starting in 1999 on Vancouver Island, British Columbia and spreading to mainland Canada and the US Pacific Northwest. In the course of the outbreak, C. gattii has been identified outside of its previously documented climate, habitat, and host disease. Genotyping of C. gattii is essential to understand the ecological and geographical expansion of this emerging pathogen.

methodsWe developed and validated a mismatch amplification mutation assay (MAMA) real-time PCR panel for genotyping C. gattii molecular types VGI-VGIV and VGII subtypes a,b,c. Subtype assays were designed based on whole-genome sequence of 20 C. gattii strains. Publically available multilocus sequence typing (MLST) data from a study of 202 strains was used for the molecular type (VGI-VGIV) assay design. All assays were validated across DNA from 112 strains of diverse international origin and sample types, including animal, environmental and human.

resultsValidation revealed each assay on the panel is 100% sensitive, specific and concordant with MLST. The assay panel can detect down to 0.5 picograms of template DNA.

conclusionsThe (MAMA) real-time PCR panel for C. gattii accurately typed a collection of 112 diverse strains and demonstrated high sensitivity. This is a time and cost efficient method of genotyping C. gattii best suited for application in large-scale epidemiological studies.

Indexed as

AnimalsCryptococcosisCryptococcus gattiiDNA, FungalEnvironmental MicrobiologyGenotyping TechniquesHumansMolecular EpidemiologyMycological Typing TechniquesNorth AmericaReal-Time Polymerase Chain ReactionSensitivity and SpecificityDNA, Fungal

Identifiers

PMID24886039
PMCPMC4032356

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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.