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• W2593122766 abstract "Aquacultures are of great economic importance worldwide but pollute pristine headwater streams, lakes, and estuaries. However, there are no in-depth studies of the consequences of aquacultures on dissolved organic matter (DOM) composition and structure. We performed a detailed molecular level characterization of aquaculture DOM quality and its bacterial degradation using four salmon aquacultures in Chile. Fluorescence measurements, ultrahigh-resolution mass spectrometry, and nuclear magnetic resonance spectroscopy of the DOM revealed specific and extensive molecular alterations caused by aquacultures. Aquacultures released large quantities of readily bioavailable metabolites (primarily carbohydrates and peptides/proteins, and lipids), causing the organic matter downstream of all the investigated aquacultures to deviate strongly from the highly processed, polydisperse and molecularly heterogeneous DOM found in pristine rivers. However, the upstream individual catchment DOM signatures remained distinguishable at the downstream sites. The benthic algal biovolume decreased and the bacterial biovolume and production increased downstream of the aquacultures, shifting stream ecosystems to a more heterotrophic state and thus impairing the ecosystem health. The bacterial DOM degradation rates explain the attenuation of aquaculture DOM within the subsequent stream reaches. This knowledge may aid the development of improved waste processing facilities and may help to define emission thresholds to protect sensitive stream ecosystems." @default.
• W2593122766 created "2017-03-16" @default.
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• W2593122766 date "2017-03-03" @default.
• W2593122766 modified "2023-10-15" @default.
• W2593122766 title "Land-based salmon aquacultures change the quality and bacterial degradation of riverine dissolved organic matter" @default.
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• W2593122766 doi "https://doi.org/10.1038/srep43739" @default.
• W2593122766 hasPubMedCentralId "https://www.ncbi.nlm.nih.gov/pmc/articles/5335611" @default.
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• W2593122766 hasPublicationYear "2017" @default.
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