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. 2022 Apr 27;9(1):e000871. doi: 10.1136/bmjgast-2022-000871

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© Author(s) (or their employer(s)) 2022. Re-use permitted under CC BY-NC. No commercial re-use. See rights and permissions. Published by BMJ.

This is an open access article distributed in accordance with the Creative Commons Attribution Non Commercial (CC BY-NC 4.0) license, which permits others to distribute, remix, adapt, build upon this work non-commercially, and license their derivative works on different terms, provided the original work is properly cited, appropriate credit is given, any changes made indicated, and the use is non-commercial. See: http://creativecommons.org/licenses/by-nc/4.0/.

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SARS-CoV-2 positive patients’ microbiome is more similar to each other than to that of exposed controls. (A) Weighted UniFrac distance matrix of phylum level SARS-CoV-2 positive (n=50) and exposed negative control samples (n=20). Distance of microbiome differences increases with increasing blue colour intensity (see legend top right). The centre of the diagram consists of negative subjects on both axis and is yellow indicative of less distance (ie, lessdifference in microbiome). The central area of the left as well as central-top side of diagram, consists of negative subjects on one axis and positive on the other, and are darker blue, indicative of more distance (more difference in microbiome). (B) Principal component analysis of microbiota from SARS-CoV-2 positive (n=50) and exposed negative controls (n=20). Dots closer in distance are more similar in microbiome composition. Axes depict the per cent of variance explained by principal component (PC) 1 and 2. Plots are based on bacterial genera relative abundance profiles.