Microbial community storm dynamics signal sources of "old" stream water.


Journal

PloS one
ISSN: 1932-6203
Titre abrégé: PLoS One
Pays: United States
ID NLM: 101285081

Informations de publication

Date de publication:
2024
Historique:
received: 05 06 2023
accepted: 25 06 2024
medline: 24 9 2024
pubmed: 24 9 2024
entrez: 24 9 2024
Statut: epublish

Résumé

Accurate characterization of the movement of water through catchments, particularly during precipitation event response, is critical for hydrological efforts such as contaminant transport modeling or prediction of extreme flows. Abiotic hydrogeochemical tracers are commonly used to track sources and ages of surface waters but provide limited details about transit pathways or the spatial dynamics of water storage and release. Alternatively, biotic material in streams is derived from thousands of taxa originating from a variety of environments within watersheds, including groundwater, sediment, and upslope terrestrial environments, and this material can be characterized with genetic sequencing and bioinformatics. We analyzed the stable water isotopes (δ18O and δ2H) and microbiome composition (16S rRNA gene amplicon sequencing) of the Marys River of western Oregon, USA during an early season storm to describe the processes, storage, and flowpaths that shape surface water hydrology. Stable water isotopes (δ18O and δ2H) typified an event response in which stream water is composed largely of 'old' water introduced to the catchment before the storm, a common though not well understood phenomenon. In contrast, microbial biodiversity spiked during the storm, consisting of early- and late-event communities clearly distinguishable from pre-event communities. We applied concentration-discharge (cQ) analysis to individual microbial taxa and found that most Alphaproteobacteria sequences were positively correlated (i.e., were mobilized) with discharge, whereas most sequences from phyla Gammaproteobacteria and Bacteroidota were negatively correlated with discharge (i.e., were diluted). Source predictions using the prokaryote habitat preference database ProkAtlas found that freshwater-associated microbes composed a smaller fraction of the microbial community during the stream rise and a larger fraction during the recession, while soil and biofilm-associated microbes increased during the storm and remained high during recession. This suggests that the "old" water discharged during the storm was likely stored and released from, or passed through, soil- and biofilm-rich environments, demonstrating that this approach adds new, biologically derived tracer information about the hydrologic pathways active during and after this event. Overall, this study demonstrates an approach for integrating information-rich DNA into water resource investigations, incorporating tools from both hydrology and microbiology to demonstrate that microbial DNA is useful not only as an indicator of biodiversity but also functions as an innovative hydrologic tracer.

Identifiants

pubmed: 39316627
doi: 10.1371/journal.pone.0306896
pii: PONE-D-23-17412
doi:

Substances chimiques

RNA, Ribosomal, 16S 0
Oxygen Isotopes 0

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

e0306896

Informations de copyright

Copyright: This is an open access article, free of all copyright, and may be freely reproduced, distributed, transmitted, modified, built upon, or otherwise used by anyone for any lawful purpose. The work is made available under the Creative Commons CC0 public domain dedication.

Déclaration de conflit d'intérêts

The authors have declared that no competing interests exist.

Auteurs

Dawn R URycki (DR)

Water Resources Graduate Program, Oregon State University, Corvallis, OR, United States of America.
Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR, United States of America.
Department of Earth and Planetary Sciences, McGill University, Montréal, Canada.

Stephen P Good (SP)

Water Resources Graduate Program, Oregon State University, Corvallis, OR, United States of America.
Department of Biological and Ecological Engineering, Oregon State University, Corvallis, OR, United States of America.

Byron C Crump (BC)

College of Earth, Ocean and Atmospheric Sciences, Oregon State University, Corvallis, OR, United States of America.

Natalie C Ceperley (NC)

Hydrology Group, Institute of Geography (GIUB) and Oeschger Center of Climate Change Research (OCCR), University of Bern, Bern, Switzerland.

J Renée Brooks (JR)

Pacific Ecological Systems Division, Center for Public Health and Environmental Assessment, U.S. Environmental Protection Agency, Corvallis, OR, United States of America.

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Classifications MeSH