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

被引:0
|
作者
Urycki, Dawn R. [1 ,2 ,3 ]
Good, Stephen P. [1 ,2 ]
Crump, Byron C. [4 ]
Ceperley, Natalie C. [5 ,6 ]
Brooks, J. Renee [7 ]
机构
[1] Oregon State Univ, Water Resources Grad Program, Corvallis, OR 97331 USA
[2] Oregon State Univ, Dept Biol & Ecol Engn, Corvallis, OR 97331 USA
[3] McGill Univ, Dept Earth & Planetary Sci, Montreal, PQ, Canada
[4] Oregon State Univ, Coll Earth Ocean & Atmospher Sci, Corvallis, OR USA
[5] Univ Bern, Inst Geog GIUB, Hydrol Grp, Bern, Switzerland
[6] Univ Bern, Oeschger Ctr Climate Change Res OCCR, Bern, Switzerland
[7] US EPA, Ctr Publ Hlth & Environm Assessment, Pacific Ecol Syst Div, Corvallis, OR USA
来源
PLOS ONE | 2024年 / 19卷 / 09期
基金
美国国家科学基金会;
关键词
DISCHARGE RELATIONSHIPS; HYDROLOGY; DIVERSITY; PRECIPITATION; GROUNDWATER; ISOTOPES; PATTERNS; OREGON; RIVERS;
D O I
10.1371/journal.pone.0306896
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
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 (delta 18O and delta 2H) 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 (delta 18O and delta 2H) 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.
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页数:21
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