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. 2022 Oct 22;9:644. doi: 10.1038/s41597-022-01777-6

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© The Author(s) 2022

Open Access This 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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.

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Fig. 1 — The quality assessment of 16S rDNA sequencing data. (a) Bar graph of sequencing data volume and filtering analysis effects. Reads QC filter: low-quality reads; Non-overlap: unassembled reads without overlap; Tag QC filter: tags that do not pass the “tag filter”; Chimera: number of chimera tags. (b) Bacterial community composition at the order level in this study. Taxonomic assignments of the 10 most abundant taxa are given. (c) Principal Coordinate Analysis (PCoA) of all datasets based on beta-diversity with unweighted-unifrac.