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. 2022 Dec 2;10:208. doi: 10.1186/s40168-022-01407-8

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© The Author(s) 2022

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. 1 — Dissemination of human bacteria in different niches of urban water environments. A Clustering analysis based on k-mers frequency from urban water metagenomes (n = 44). Samples are colored according to their belonging to each main cluster (clusters 1, 2, and 3), sampling year, and environment type according to their collection site (beach, sewage, creek, or spillway). B Barplot showing the proportion of samples belonging to each metagenomic cluster stratified by type of environment. C Metagenomic quantification (measured as reads per kilobase-million, RPKM) of human-gut-microbiota-associated bacteriophages B40-8 and crAssphage in samples belonging to each cluster. D Metagenomic quantification (measured as relative abundances) of bacterial species that are associated or not associated to the human gut microbiota in samples belonging to each cluster