Ontology highlight
ABSTRACT: 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.
SUBMITTER: Shaffer JP
PROVIDER: S-EPMC7668742 | biostudies-literature | 2020 Nov
REPOSITORIES: biostudies-literature
Shaffer Justin P JP Marotz Clarisse C Belda-Ferre Pedro P Martino Cameron C Wandro Stephen S Estaki Mehrbod M Salido Rodolfo A RA Carpenter Carolina S CS Zaramela Livia S LS Minich Jeremiah J JJ Bryant MacKenzie M Sanders Karenina K Fraraccio Serena S Ackermann Gail G Humphrey Gregory G Swafford Austin D AD Miller-Montgomery Sandrine S Knight Rob R
bioRxiv : the preprint server for biology 20201114
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 previou ...[more]