Abstract

Doc number: 255

Abstract

Background: Fungal 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.

Methods: We 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.

Results: We 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.

Conclusions: FungiQuant 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.

Details

Title
FungiQuant: A broad-coverage fungal quantitative real-time PCR assay
Author
Liu, Cindy M; Kachur, Sergey; Dwan, Michael G; Abraham, Alison G; Aziz, Maliha; Hsueh, Po-Ren; Huang, Yu-Tsung; Busch, Joseph D; Lamit, Louis J; Gehring, Catherine A; Keim, Paul; Price, Lance B
Pages
255
Publication year
2012
Publication date
2012
Publisher
BioMed Central
e-ISSN
14712180
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
1284411097
Copyright
© 2012 Liu et al.; licensee BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/2.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.