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. 2020 Apr 25;15:10. doi: 10.1186/s40793-020-00356-9

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© The Author(s) 2020

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. 6 — Drivers of microbial community composition. a CCA ordination showing the bacterial community composition in relation to significant local environmental variables and regional geographical factors (P < 0.05). TDS, total dissolved solids; WT, water temperature; TN, total nitrogen; TSS, total suspended solids. Both the two CCA axes are statistically significant (P < 0.05). b Venn diagram presenting the variation partitioning results for microbial communities by environmental variables (Env.) and the spatial factors including linear trend and PCNM variables. The fraction values displayed are computed from adjusted R-squares. c Relative importance of stochastic mechanism on community assembly in river and lake habitats. The significance differences of the actual communities from those of the related null expectation are indicated as ***P < 0.001 based on PERMANOVA test