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. 2021 Oct 25;19:5898–5910. doi: 10.1016/j.csbj.2021.10.028

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© 2021 The Authors. Published by Elsevier B.V. on behalf of Research Network of Computational and Structural Biotechnology.

This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).

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Fig. 3 — OMT educates irradiation-shifted oral microbiota composition. All mice in the following experiments were housed in tailor-made cages. (A, B) The observed species number of oral bacteria was examined by 16S rRNA high-throughput sequencing from mice at day 7 (THI D7) and day 14 (THI D14) after head and neck radiation exposure (A), day 7 (OMT D7) and day 14 (OMT D14) after oral microbiota transplantation (B). n = 8 per group. (C, D) The β diversity of oral bacteria was compared by the weighted UniFrac analysis from THI group (C) and OMT group (D). (E, F) Non-metric multidimensional scaling (NMDS) analysis was used to measure the shift in oral bacterial composition profile from THI group (E) and OMT group (F). (G, H) The abundance of g_Lactobacillus_s_ Lactobacillus_mucosae was assessed from THI group (G) and OMT group (H). (I) The observed species number of oral bacteria was examined from mice at day 0, 7, 14 after head and neck radiation exposure with or without oral microbiota transplantation. (J) The β diversity of oral bacteria was compared by the weighted UniFrac analysis between THI D14 and OMT D14. (K, L) Unweighted and weighted PCoA were used to measure the shift in oral bacterial composition profile from THI D14 and OMT D14. Significant differences for 16S rRNA high-throughput sequencing are indicated: Wilcoxon rank sum test.