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. 2019 Jan 9;9:3292. doi: 10.3389/fmicb.2018.03292

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Copyright © 2019 Qiao, Han, Feng, Zheng, Wu, Gao, Yang, You, Liu and Wu.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

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Analysis of the gut microbiota diversity. (A) A pan analysis was used to observing the increase in the total number of species as the number of samples increases. (B) A core analysis was used to observe the decrease in the number of common species as the number of samples increased. (C) The α-diversity statistics show the diversity index values of each sample under each index type. (^∗P-value < 0.05, mean ± SEM). (D) The 97% similarity OTU or other taxonomic levels were selected to use mothur software to calculate the diversity index under different random sampling and to use the R-package tools to create the Shannon curve. (E) The PLS-DA algorithm distinguishes sample groups of different time periods in the BD3526 group and the control group.