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. 2022 Jan 29;54:7. doi: 10.1186/s12711-022-00699-6

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© The Author(s) 2022

Open AccessThis article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article's Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article's Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit http://creativecommons.org/licenses/by/4.0/. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated in a credit line to the data.

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Fig. 7 — Non-metric multidimensional scaling representation, heatmap, and significant differentially abundant genera for high and low carriers (line 6₁- exp1). a Non-metric multidimensional scaling representation of the caecal microbiota of high and low carriers from line 6₁ (Bray–Curtis dissimilarity). High and low carriers are significantly different (Permanova, P-value < 0.01); caecal microbiota from different isolators are not significantly different (Permanova, P-value > 0.5). b Heatmap representation of the 39 differentially abundant OTU between high- and low-carriers from line 6₁ in Experiment 1. c Differentially abundant genera between high- and low-carriers from line 6₁ in Experiment 1 (Log₂ fold-changes)