Evidence map›Paper›PMID 23136846›Full record

ArticleBMC microbiology2012

FungiQuant: a broad-coverage fungal quantitative real-time PCR assay.

Cindy M Liu, Sergey Kachur, Michael G Dwan, Alison G Abraham, Maliha Aziz, Po-Ren Hsueh, Yu-Tsung Huang, Joseph D Busch, Louis J Lamit, Catherine A Gehring and 2 more

Abstract readValidation Study
In one paragraph

Article in BMC microbiology, 2012. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 118 papers.

0numbers the graph read from it
0cells of the map it votes in
118citing 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

118 citing papers in PubMed.

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

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

12 authors.

Cindy M LiuDivision of Pathogen Genomics, Translational Genomics Research Institute, Flagstaff, AZ 86011, USA. cindy.liu@nau.edu
Sergey Kachur
Michael G Dwan
Alison G Abraham
Maliha Aziz
Po-Ren Hsueh
Yu-Tsung Huang
Joseph D Busch
Louis J Lamit
Catherine A Gehring
Paul Keim
Lance B Price

Funding

Genital Anaerobes, Inflammation and HIV Risk; RakaiR01AI087409 · NIAID · JOHNS HOPKINS UNIVERSITY · PI GRAY, RONALD H, PRICE, LANCE BRADLEY · 2010 to 2012
$2.5M
Microbial ecology in the Chronic Rhinosinusitis MicrobiomeR15DE021194 · NIDCR · NORTHERN ARIZONA UNIVERSITY · PI FOSTER, JEFFREY T. · 2010 to 2010
$485k
NIAID NIH HHS R01AI087409-01A1NIDCR NIH HHS R15 DE021194NIDCR NIH HHS R15DE021194-01
6 · The paper itself

Abstract

backgroundFungal load quantification is a critical component of fungal community analyses. Limitation of current approaches for quantifying the fungal component in the human microbiome suggests the need for new broad-coverage techniques.

methodsWe analyzed 2,085 18S rRNA gene sequences from the SILVA database for assay design. We generated and quantified plasmid standards using a qPCR-based approach. We evaluated assay coverage against 4,968 sequences and performed assay validation following the Minimum Information for Publication of Quantitative Real-Time PCR Experiments (MIQE) guidelines.

resultsWe designed FungiQuant, a TaqMan® qPCR assay targeting a 351 bp region in the fungal 18S rRNA gene. Our in silico analysis showed that FungiQuant is a perfect sequence match to 90.0% of the 2,617 fungal species analyzed. We showed that FungiQuant's is 100% sensitive and its amplification efficiencies ranged from 76.3% to 114.5%, with r(2)-values of >0.99 against the 69 fungal species tested. Additionally, FungiQuant inter- and intra-run coefficients of variance ranged from <10% and <20%, respectively. We further showed that FungiQuant has a limit of quantification 25 copies and a limit of detection at 5 copies. Lastly, by comparing results from human-only background DNA with low-level fungal DNA, we showed that amplification in two or three of a FungiQuant performed in triplicate is statistically significant for true positive fungal detection.

conclusionsFungiQuant has comprehensive coverage against diverse fungi and is a robust quantification and detection tool for delineating between true fungal detection and non-target human DNA.

Indexed as

Colony Count, MicrobialFungiGenes, rRNAHumansMetagenomeReal-Time Polymerase Chain ReactionReproducibility of ResultsRNA, FungalRNA, Ribosomal, 18SSensitivity and SpecificityRNA, FungalRNA, Ribosomal, 18S

Identifiers

PMID23136846
PMCPMC3565980

What OpenQuestion holds

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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.