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Multiplexed Metagenomic Deep Sequencing To Analyze the Composition of High-Priority Pathogen Reagents

Laboratories studying high-priority pathogens need comprehensive methods to confirm microbial species and strains while also detecting contamination. Metagenomic deep sequencing (MDS) inventories nucleic acids present in laboratory stocks, providing an unbiased assessment of pathogen identity, the e...

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Autores principales: Wilson, Michael R., Fedewa, Greg, Stenglein, Mark D., Olejnik, Judith, Rennick, Linda J., Nambulli, Sham, Feldmann, Friederike, Duprex, W. Paul, Connor, John H., Mühlberger, Elke, DeRisi, Joseph L.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: American Society for Microbiology 2016
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069959/
https://www.ncbi.nlm.nih.gov/pubmed/27822544
http://dx.doi.org/10.1128/mSystems.00058-16
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author Wilson, Michael R.
Fedewa, Greg
Stenglein, Mark D.
Olejnik, Judith
Rennick, Linda J.
Nambulli, Sham
Feldmann, Friederike
Duprex, W. Paul
Connor, John H.
Mühlberger, Elke
DeRisi, Joseph L.
author_facet Wilson, Michael R.
Fedewa, Greg
Stenglein, Mark D.
Olejnik, Judith
Rennick, Linda J.
Nambulli, Sham
Feldmann, Friederike
Duprex, W. Paul
Connor, John H.
Mühlberger, Elke
DeRisi, Joseph L.
author_sort Wilson, Michael R.
collection PubMed
description Laboratories studying high-priority pathogens need comprehensive methods to confirm microbial species and strains while also detecting contamination. Metagenomic deep sequencing (MDS) inventories nucleic acids present in laboratory stocks, providing an unbiased assessment of pathogen identity, the extent of genomic variation, and the presence of contaminants. Double-stranded cDNA MDS libraries were constructed from RNA extracted from in vitro-passaged stocks of six viruses (La Crosse virus, Ebola virus, canine distemper virus, measles virus, human respiratory syncytial virus, and vesicular stomatitis virus). Each library was dual indexed and pooled for sequencing. A custom bioinformatics pipeline determined the organisms present in each sample in a blinded fashion. Single nucleotide variant (SNV) analysis identified viral isolates. We confirmed that (i) each sample contained the expected microbe, (ii) dual indexing of the samples minimized false assignments of individual sequences, (iii) multiple viral and bacterial contaminants were present, and (iv) SNV analysis of the viral genomes allowed precise identification of the viral isolates. MDS can be multiplexed to allow simultaneous and unbiased interrogation of mixed microbial cultures and (i) confirm pathogen identity, (ii) characterize the extent of genomic variation, (iii) confirm the cell line used for virus propagation, and (iv) assess for contaminating microbes. These assessments ensure the true composition of these high-priority reagents and generate a comprehensive database of microbial genomes studied in each facility. MDS can serve as an integral part of a pathogen-tracking program which in turn will enhance sample security and increase experimental rigor and precision. IMPORTANCE Both the integrity and reproducibility of experiments using select agents depend in large part on unbiased validation to ensure the correct identity and purity of the species in question. Metagenomic deep sequencing (MDS) provides the required level of validation by allowing for an unbiased and comprehensive assessment of all the microbes in a laboratory stock.
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spelling pubmed-50699592016-11-07 Multiplexed Metagenomic Deep Sequencing To Analyze the Composition of High-Priority Pathogen Reagents Wilson, Michael R. Fedewa, Greg Stenglein, Mark D. Olejnik, Judith Rennick, Linda J. Nambulli, Sham Feldmann, Friederike Duprex, W. Paul Connor, John H. Mühlberger, Elke DeRisi, Joseph L. mSystems Research Article Laboratories studying high-priority pathogens need comprehensive methods to confirm microbial species and strains while also detecting contamination. Metagenomic deep sequencing (MDS) inventories nucleic acids present in laboratory stocks, providing an unbiased assessment of pathogen identity, the extent of genomic variation, and the presence of contaminants. Double-stranded cDNA MDS libraries were constructed from RNA extracted from in vitro-passaged stocks of six viruses (La Crosse virus, Ebola virus, canine distemper virus, measles virus, human respiratory syncytial virus, and vesicular stomatitis virus). Each library was dual indexed and pooled for sequencing. A custom bioinformatics pipeline determined the organisms present in each sample in a blinded fashion. Single nucleotide variant (SNV) analysis identified viral isolates. We confirmed that (i) each sample contained the expected microbe, (ii) dual indexing of the samples minimized false assignments of individual sequences, (iii) multiple viral and bacterial contaminants were present, and (iv) SNV analysis of the viral genomes allowed precise identification of the viral isolates. MDS can be multiplexed to allow simultaneous and unbiased interrogation of mixed microbial cultures and (i) confirm pathogen identity, (ii) characterize the extent of genomic variation, (iii) confirm the cell line used for virus propagation, and (iv) assess for contaminating microbes. These assessments ensure the true composition of these high-priority reagents and generate a comprehensive database of microbial genomes studied in each facility. MDS can serve as an integral part of a pathogen-tracking program which in turn will enhance sample security and increase experimental rigor and precision. IMPORTANCE Both the integrity and reproducibility of experiments using select agents depend in large part on unbiased validation to ensure the correct identity and purity of the species in question. Metagenomic deep sequencing (MDS) provides the required level of validation by allowing for an unbiased and comprehensive assessment of all the microbes in a laboratory stock. American Society for Microbiology 2016-07-19 /pmc/articles/PMC5069959/ /pubmed/27822544 http://dx.doi.org/10.1128/mSystems.00058-16 Text en Copyright © 2016 Wilson et al. http://creativecommons.org/licenses/by/4.0/ This is an open-access article distributed under the terms of the Creative Commons Attribution 4.0 International license (http://creativecommons.org/licenses/by/4.0/) .
spellingShingle Research Article
Wilson, Michael R.
Fedewa, Greg
Stenglein, Mark D.
Olejnik, Judith
Rennick, Linda J.
Nambulli, Sham
Feldmann, Friederike
Duprex, W. Paul
Connor, John H.
Mühlberger, Elke
DeRisi, Joseph L.
Multiplexed Metagenomic Deep Sequencing To Analyze the Composition of High-Priority Pathogen Reagents
title Multiplexed Metagenomic Deep Sequencing To Analyze the Composition of High-Priority Pathogen Reagents
title_full Multiplexed Metagenomic Deep Sequencing To Analyze the Composition of High-Priority Pathogen Reagents
title_fullStr Multiplexed Metagenomic Deep Sequencing To Analyze the Composition of High-Priority Pathogen Reagents
title_full_unstemmed Multiplexed Metagenomic Deep Sequencing To Analyze the Composition of High-Priority Pathogen Reagents
title_short Multiplexed Metagenomic Deep Sequencing To Analyze the Composition of High-Priority Pathogen Reagents
title_sort multiplexed metagenomic deep sequencing to analyze the composition of high-priority pathogen reagents
topic Research Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5069959/
https://www.ncbi.nlm.nih.gov/pubmed/27822544
http://dx.doi.org/10.1128/mSystems.00058-16
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