Nasopharyngeal Microbiota in SARS-CoV-2 Positive and Negative Patients
Open Access
- 1 June 2021
- journal article
- research article
- Published by Springer Science and Business Media LLC in Biological Procedures Online
- Vol. 23 (1), 1-6
- https://doi.org/10.1186/s12575-021-00148-6
Abstract
We investigated nasopharyngeal microbial community structure in COVID-19-positive and -negative patients. High-throughput 16S ribosomal RNA gene amplicon sequencing revealed significant microbial community structure differences between COVID-19-positive and -negative patients. This proof-of-concept study demonstrates that: (1) nasopharyngeal microbiome communities can be assessed using collection samples already collected for SARS-CoV-2 testing (viral transport media) and (2) SARS-CoV-2 infection is associated with altered dysbiotic microbial profiles which could be a biomarker for disease progression and prognosis in SARS-CoV-2.Keywords
This publication has 25 references indexed in Scilit:
- DADA2: High-resolution sample inference from Illumina amplicon dataNature Methods, 2016
- Skin Microbiome Surveys Are Strongly Influenced by Experimental DesignJournal of Investigative Dermatology, 2016
- Analysis of composition of microbiomes: a novel method for studying microbial compositionMicrobial Ecology in Health & Disease, 2015
- Power and sample-size estimation for microbiome studies using pairwise distances and PERMANOVABioinformatics, 2015
- Moderated estimation of fold change and dispersion for RNA-seq data with DESeq2Genome Biology, 2014
- Role of the Microbiota in Immunity and InflammationCell, 2014
- Minimization of chloroplast contamination in 16S rRNA gene pyrosequencing of insect herbivore bacterial communitiesJournal of Microbiological Methods, 2013
- PEAR: a fast and accurate Illumina Paired-End reAd mergeRBioinformatics, 2013
- The SILVA ribosomal RNA gene database project: improved data processing and web-based toolsNucleic Acids Research, 2012
- Ultra-high-throughput microbial community analysis on the Illumina HiSeq and MiSeq platformsThe ISME Journal, 2012