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FungiQuant: A broad-coverage fungal quantitative real-time PCR assay

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...

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Autores principales: 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
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2012
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3565980/
https://www.ncbi.nlm.nih.gov/pubmed/23136846
http://dx.doi.org/10.1186/1471-2180-12-255
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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
author_facet 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
author_sort Liu, Cindy M
collection PubMed
description 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.
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spelling pubmed-35659802013-02-11 FungiQuant: A broad-coverage fungal quantitative real-time PCR assay 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 BMC Microbiol Methodology Article 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. BioMed Central 2012-11-08 /pmc/articles/PMC3565980/ /pubmed/23136846 http://dx.doi.org/10.1186/1471-2180-12-255 Text en Copyright ©2012 Liu et al.; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 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.
spellingShingle Methodology Article
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
FungiQuant: A broad-coverage fungal quantitative real-time PCR assay
title FungiQuant: A broad-coverage fungal quantitative real-time PCR assay
title_full FungiQuant: A broad-coverage fungal quantitative real-time PCR assay
title_fullStr FungiQuant: A broad-coverage fungal quantitative real-time PCR assay
title_full_unstemmed FungiQuant: A broad-coverage fungal quantitative real-time PCR assay
title_short FungiQuant: A broad-coverage fungal quantitative real-time PCR assay
title_sort fungiquant: a broad-coverage fungal quantitative real-time pcr assay
topic Methodology Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3565980/
https://www.ncbi.nlm.nih.gov/pubmed/23136846
http://dx.doi.org/10.1186/1471-2180-12-255
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