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Hydrological Properties Predict the Composition of Microbial Communities Cycling Methane and Nitrogen in Rivers

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Hydrological Properties Predict the Composition of Microbial Communities Cycling Methane and Nitrogen in Rivers. / Clark, Dave R.; McKew, Boyd A. ; Binley, Andrew et al.
In: ISME Communications, Vol. 2, 5, 21.01.2022.

Research output: Contribution to Journal/MagazineJournal articlepeer-review

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APA

Clark, D. R., McKew, B. A., Binley, A., Heppell, C. M., Whitby, C., & Trimmer, M. (2022). Hydrological Properties Predict the Composition of Microbial Communities Cycling Methane and Nitrogen in Rivers. ISME Communications, 2, Article 5. https://doi.org/10.1038/s43705-022-00087-7

Vancouver

Clark DR, McKew BA, Binley A, Heppell CM, Whitby C, Trimmer M. Hydrological Properties Predict the Composition of Microbial Communities Cycling Methane and Nitrogen in Rivers. ISME Communications. 2022 Jan 21;2:5. doi: 10.1038/s43705-022-00087-7

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Bibtex

@article{08e44a5efa6e4c509503a38760df8751,
title = "Hydrological Properties Predict the Composition of Microbial Communities Cycling Methane and Nitrogen in Rivers",
abstract = "Sediment microbial communities drive the biogeochemical cycles that make rivers globally important sources and sinks of carbon (C) and nitrogen (N). The structure of these communities is strongly determined by the local physicochemical environment. However, we currently lack an understanding of the factors that determine microbial community structures at the catchment scale. Here, we show that the contribution of groundwater to total river flow (quantified as base flow index; BFI) predicts the structure and diversity of the different microbial functional groups that cycle N and C across nine UK rivers, spanning a geological BFI gradient from 0.23 (clay sediment) to 0.95 (chalk gravel sediment). Furthermore, the GC-content (percentage of guanine-cytosine bases in a DNA sequence) and codon-usage bias of ammonia monooxygenase DNA sequences, and the hydrophobicity and net-charge of the corresponding amino acid sequences, were all strongly correlated with BFI, likely reflecting physiological adaptations to different riverbed sediment structure along the BFI gradient. Our results offer an opportunity to overcome the “paradox of scales” that has seen microbial ecologists focus on small- rather than large-scale environmental variables, enabling us to scale-up our understanding of microbial biogeochemistry to the catchment and beyond.",
author = "Clark, {Dave R.} and McKew, {Boyd A.} and Andrew Binley and Heppell, {Catherine M.} and Corinne Whitby and Mark Trimmer",
year = "2022",
month = jan,
day = "21",
doi = "10.1038/s43705-022-00087-7",
language = "English",
volume = "2",
journal = "ISME Communications",
issn = "2730-6151",
publisher = "Springer Nature",

}

RIS

TY - JOUR

T1 - Hydrological Properties Predict the Composition of Microbial Communities Cycling Methane and Nitrogen in Rivers

AU - Clark, Dave R.

AU - McKew, Boyd A.

AU - Binley, Andrew

AU - Heppell, Catherine M.

AU - Whitby, Corinne

AU - Trimmer, Mark

PY - 2022/1/21

Y1 - 2022/1/21

N2 - Sediment microbial communities drive the biogeochemical cycles that make rivers globally important sources and sinks of carbon (C) and nitrogen (N). The structure of these communities is strongly determined by the local physicochemical environment. However, we currently lack an understanding of the factors that determine microbial community structures at the catchment scale. Here, we show that the contribution of groundwater to total river flow (quantified as base flow index; BFI) predicts the structure and diversity of the different microbial functional groups that cycle N and C across nine UK rivers, spanning a geological BFI gradient from 0.23 (clay sediment) to 0.95 (chalk gravel sediment). Furthermore, the GC-content (percentage of guanine-cytosine bases in a DNA sequence) and codon-usage bias of ammonia monooxygenase DNA sequences, and the hydrophobicity and net-charge of the corresponding amino acid sequences, were all strongly correlated with BFI, likely reflecting physiological adaptations to different riverbed sediment structure along the BFI gradient. Our results offer an opportunity to overcome the “paradox of scales” that has seen microbial ecologists focus on small- rather than large-scale environmental variables, enabling us to scale-up our understanding of microbial biogeochemistry to the catchment and beyond.

AB - Sediment microbial communities drive the biogeochemical cycles that make rivers globally important sources and sinks of carbon (C) and nitrogen (N). The structure of these communities is strongly determined by the local physicochemical environment. However, we currently lack an understanding of the factors that determine microbial community structures at the catchment scale. Here, we show that the contribution of groundwater to total river flow (quantified as base flow index; BFI) predicts the structure and diversity of the different microbial functional groups that cycle N and C across nine UK rivers, spanning a geological BFI gradient from 0.23 (clay sediment) to 0.95 (chalk gravel sediment). Furthermore, the GC-content (percentage of guanine-cytosine bases in a DNA sequence) and codon-usage bias of ammonia monooxygenase DNA sequences, and the hydrophobicity and net-charge of the corresponding amino acid sequences, were all strongly correlated with BFI, likely reflecting physiological adaptations to different riverbed sediment structure along the BFI gradient. Our results offer an opportunity to overcome the “paradox of scales” that has seen microbial ecologists focus on small- rather than large-scale environmental variables, enabling us to scale-up our understanding of microbial biogeochemistry to the catchment and beyond.

U2 - 10.1038/s43705-022-00087-7

DO - 10.1038/s43705-022-00087-7

M3 - Journal article

VL - 2

JO - ISME Communications

JF - ISME Communications

SN - 2730-6151

M1 - 5

ER -