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A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities

One goal among microbial ecology researchers is to capture the maximum amount of information from all organisms in a sample. The recent COVID-19 pandemic, caused by the RNA virus SARS-CoV-2, has highlighted a gap in traditional DNA-based protocols, including the high-throughput methods we previously...

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Autores principales: Shaffer, Justin P., Marotz, Clarisse, Belda-Ferre, Pedro, Martino, Cameron, Wandro, Stephen, Estaki, Mehrbod, Salido, Rodolfo A., Carpenter, Carolina S., Zaramela, Livia S., Minich, Jeremiah J., Bryant, MacKenzie, Sanders, Karenina, Fraraccio, Serena, Ackermann, Gail, Humphrey, Gregory, Swafford, Austin D., Miller-Montgomery, Sandrine, Knight, Rob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Cold Spring Harbor Laboratory 2020
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668742/
https://www.ncbi.nlm.nih.gov/pubmed/33200135
http://dx.doi.org/10.1101/2020.11.13.370387
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author Shaffer, Justin P.
Marotz, Clarisse
Belda-Ferre, Pedro
Martino, Cameron
Wandro, Stephen
Estaki, Mehrbod
Salido, Rodolfo A.
Carpenter, Carolina S.
Zaramela, Livia S.
Minich, Jeremiah J.
Bryant, MacKenzie
Sanders, Karenina
Fraraccio, Serena
Ackermann, Gail
Humphrey, Gregory
Swafford, Austin D.
Miller-Montgomery, Sandrine
Knight, Rob
author_facet Shaffer, Justin P.
Marotz, Clarisse
Belda-Ferre, Pedro
Martino, Cameron
Wandro, Stephen
Estaki, Mehrbod
Salido, Rodolfo A.
Carpenter, Carolina S.
Zaramela, Livia S.
Minich, Jeremiah J.
Bryant, MacKenzie
Sanders, Karenina
Fraraccio, Serena
Ackermann, Gail
Humphrey, Gregory
Swafford, Austin D.
Miller-Montgomery, Sandrine
Knight, Rob
author_sort Shaffer, Justin P.
collection PubMed
description One goal among microbial ecology researchers is to capture the maximum amount of information from all organisms in a sample. The recent COVID-19 pandemic, caused by the RNA virus SARS-CoV-2, has highlighted a gap in traditional DNA-based protocols, including the high-throughput methods we previously established as field standards. To enable simultaneous SARS-CoV-2 and microbial community profiling, we compare the relative performance of two total nucleic acid extraction protocols and our previously benchmarked protocol. We included a diverse panel of environmental and host-associated sample types, including body sites commonly swabbed for COVID-19 testing. Here we present results comparing the cost, processing time, DNA and RNA yield, microbial community composition, limit of detection, and well-to-well contamination, between these protocols. ACCESSION NUMBERS: Raw sequence data were deposited at the European Nucleotide Archive (accession#: ERP124610) and raw and processed data are available at Qiita (Study ID: 12201). All processing and analysis code is available on GitHub ( github.com/justinshaffer/Extraction_test_MagMAX ). METHODS SUMMARY: To allow for downstream applications involving RNA-based organisms such as SARS-CoV-2, we compared the two extraction protocols designed to extract DNA and RNA against our previously established protocol for extracting only DNA for microbial community analyses. Across 10 diverse sample types, one of the two protocols was equivalent or better than our established DNA-based protocol. Our conclusion is based on per-sample comparisons of DNA and RNA yield, the number of quality sequences generated, microbial community alpha- and beta-diversity and taxonomic composition, the limit of detection, and extent of well-to-well contamination.
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spelling pubmed-76687422020-11-17 A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities Shaffer, Justin P. Marotz, Clarisse Belda-Ferre, Pedro Martino, Cameron Wandro, Stephen Estaki, Mehrbod Salido, Rodolfo A. Carpenter, Carolina S. Zaramela, Livia S. Minich, Jeremiah J. Bryant, MacKenzie Sanders, Karenina Fraraccio, Serena Ackermann, Gail Humphrey, Gregory Swafford, Austin D. Miller-Montgomery, Sandrine Knight, Rob bioRxiv Article One goal among microbial ecology researchers is to capture the maximum amount of information from all organisms in a sample. The recent COVID-19 pandemic, caused by the RNA virus SARS-CoV-2, has highlighted a gap in traditional DNA-based protocols, including the high-throughput methods we previously established as field standards. To enable simultaneous SARS-CoV-2 and microbial community profiling, we compare the relative performance of two total nucleic acid extraction protocols and our previously benchmarked protocol. We included a diverse panel of environmental and host-associated sample types, including body sites commonly swabbed for COVID-19 testing. Here we present results comparing the cost, processing time, DNA and RNA yield, microbial community composition, limit of detection, and well-to-well contamination, between these protocols. ACCESSION NUMBERS: Raw sequence data were deposited at the European Nucleotide Archive (accession#: ERP124610) and raw and processed data are available at Qiita (Study ID: 12201). All processing and analysis code is available on GitHub ( github.com/justinshaffer/Extraction_test_MagMAX ). METHODS SUMMARY: To allow for downstream applications involving RNA-based organisms such as SARS-CoV-2, we compared the two extraction protocols designed to extract DNA and RNA against our previously established protocol for extracting only DNA for microbial community analyses. Across 10 diverse sample types, one of the two protocols was equivalent or better than our established DNA-based protocol. Our conclusion is based on per-sample comparisons of DNA and RNA yield, the number of quality sequences generated, microbial community alpha- and beta-diversity and taxonomic composition, the limit of detection, and extent of well-to-well contamination. Cold Spring Harbor Laboratory 2020-11-14 /pmc/articles/PMC7668742/ /pubmed/33200135 http://dx.doi.org/10.1101/2020.11.13.370387 Text en https://creativecommons.org/licenses/by-nc-nd/4.0/This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (https://creativecommons.org/licenses/by-nc-nd/4.0/) , which allows reusers to copy and distribute the material in any medium or format in unadapted form only, for noncommercial purposes only, and only so long as attribution is given to the creator.
spellingShingle Article
Shaffer, Justin P.
Marotz, Clarisse
Belda-Ferre, Pedro
Martino, Cameron
Wandro, Stephen
Estaki, Mehrbod
Salido, Rodolfo A.
Carpenter, Carolina S.
Zaramela, Livia S.
Minich, Jeremiah J.
Bryant, MacKenzie
Sanders, Karenina
Fraraccio, Serena
Ackermann, Gail
Humphrey, Gregory
Swafford, Austin D.
Miller-Montgomery, Sandrine
Knight, Rob
A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities
title A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities
title_full A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities
title_fullStr A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities
title_full_unstemmed A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities
title_short A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities
title_sort comparison of dna/rna extraction protocols for high-throughput sequencing of microbial communities
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7668742/
https://www.ncbi.nlm.nih.gov/pubmed/33200135
http://dx.doi.org/10.1101/2020.11.13.370387
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