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A comparison of DNA/RNA extraction protocols for high-throughput sequencing of microbial communities
Justin P Shaffer; Clarisse Marotz; Pedro Belda-Ferre; Cameron Martino; Stephen Wandro; Mehrbod Estaki; Rodolfo A Salido; Carolina S Carpenter; Livia S Zaramela; Jeremiah J Minich; MacKenzie Bryant Bryant; Karenina Sanders; Serena Fraraccio; Gail Ackermann; Gregory Humphrey; Austin D Swafford; Sandrine Miller-Montgomery; Rob Knight.
Affiliation
  • Justin P Shaffer; University of California, San Diego
  • Clarisse Marotz; UCSD School of Medicine
  • Pedro Belda-Ferre; UCSD School of Medicine
  • Cameron Martino; University of California, San Diego
  • Stephen Wandro; UCSD School of Medicine
  • Mehrbod Estaki; UCSD School of Medicine
  • Rodolfo A Salido; UCSD School of Medicine
  • Carolina S Carpenter; UCSD Center for Microbiome Innovation
  • Livia S Zaramela; UCSD School of Medicine
  • Jeremiah J Minich; University of California, San Diego
  • MacKenzie Bryant Bryant; UCSD School of Medicine
  • Karenina Sanders; UCSD School of Medicine
  • Serena Fraraccio; Micronoma, Inc.
  • Gail Ackermann; UCSD School of Medicine
  • Gregory Humphrey; UCSD School of Medicine
  • Austin D Swafford; UCSD Center for Microbiome Innovation
  • Sandrine Miller-Montgomery; Micronoma, Inc.
  • Rob Knight; UCSD School of Medicine
Preprint in English | bioRxiv | ID: ppbiorxiv-370387
Journal article
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ABSTRACT
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 numbersRaw 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 summaryTo 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.
License
cc_by_nc_nd
Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Language: English Year: 2020 Document type: Preprint
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