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. 2023 Aug 18;6:862. doi: 10.1038/s42003-023-05237-8

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© The Author(s) 2023

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 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/.

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Fig. 2 — a Dynamics of the genera among all the sampling sites. Samples are arranged from left (upstream) to right (downstream), with increasing distance from the source. b Bacterial genera with highest prevalence among the sampling sites and highest variance; the 15 colored dots are the taxa most suitable as biological indicators (highlighted in the ellipses) given their broad presence and wide variance across different environments. c The RDA shows the relationships of each of the 15 identified genera with the environmental drivers. This provides the basis to link the dynamics of individual genera with environmental properties; i.e., Canditatus Methylopumilus contribute more to the community at the river mouth while Limnohabitans at the source and Flavobacterium spp. increase in relative abundance with pH. Similar analyses on bacterial classes and families are presented in Supplementary Figs. 4 and 5.