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Environmental Pollution
Article . 2022 . Peer-reviewed
License: CC BY NC
Data sources: Crossref
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Article . 2021
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Environmental Pollution
Article . 2022
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Large-scale sampling of the freshwater microbiome suggests pollution-driven ecosystem changes

Authors: Katrin Premke; Christian Wurzbacher; Katja Felsmann; Jenny Fabian; Robert Taube; Pascal Bodmer; Katrin Attermeyer; +8 Authors

Large-scale sampling of the freshwater microbiome suggests pollution-driven ecosystem changes

Abstract

Freshwater microbes play a crucial role in the global carbon cycle. Anthropogenic stressors that lead to changes in these microbial communities are likely to have profound consequences for freshwater ecosystems. Using field data from the coordinated sampling of 617 lakes, ponds, rivers, and streams by citizen scientists, we observed linkages between microbial community composition, light and chemical pollution, and greenhouse gas concentration. All sampled water bodies were net emitters of CO2, with higher concentrations in running waters, and increasing concentrations at higher latitudes. Light pollution occurred at 75% of sites, was higher in urban areas and along rivers, and had a measurable effect on the microbial alpha diversity. Genetic elements suggestive of chemical stress and antimicrobial resistances (IntI1, blaOX58) were found in 85% of sites, and were also more prevalent in urban streams and rivers. Light pollution and CO2 were significantly related to microbial community composition, with CO2 inversely related to microbial phototrophy. Results of synchronous nationwide sampling indicate that pollution-driven alterations to the freshwater microbiome lead to changes in CO2 production in natural waters and highlight the vulnerability of running waters to anthropogenic stressors.

Countries
Austria, Germany
Keywords

LAKES, DYNAMICS, Microbial diversity, RIVERS, FLUXES, CO2 SUPERSATURATION, 106027 Ökotoxikologie, Citizen science, 333, CARBON, Rivers, Climate change, 106027 Ecotoxicology, 106026 Ecosystem research, SDG 15 – Leben an Land, 106020 Limnology, EMISSIONS, Ecosystem, SDG 15 - Life on Land, 106022 Mikrobiologie, Antibiotic-resistance genes, CH4, Microbiota, Carbon Dioxide, 106020 Limnologie, Lakes, LIGHT, Carbon dioxide, 106026 Ökosystemforschung, 106022 Microbiology, Artificial light at night, PACKAGE, Environmental Monitoring, ddc: ddc:

  • BIP!
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    citations
    This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    18
    popularity
    This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
    Top 10%
    influence
    This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
    Average
    impulse
    This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
    Top 10%
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citations
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
18
Top 10%
Average
Top 10%
Green
hybrid