Hydrological properties predict the composition of microbial communities cycling methane and nitrogen in rivers.
Hydrological properties predict the composition of microbial communities cycling methane and nitrogen in rivers.
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水文特性预测了河流中循环甲烷和氮气的微生物群落的组成。
DOI：
10.1038/s43705-022-00087-7
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发表时间：
2022-01-21
期刊：
影响因子：
--
通讯作者：
Trimmer, Mark
中科院分区：
文献类型：
--
作者：
Clark, Dave R.;Mckew, Boyd A.;Binley, Andrew;Heppell, Catherine M.;Whitby, Corinne;Trimmer, Mark
沉积物微生物群落推动生物地球化学循环，使河流成为全球重要的碳(C)和氮(N)源和汇。这些群落的结构在很大程度上取决于当地的物理化学环境。然而，我们目前缺乏对决定流域规模微生物群落结构的因素的了解。在这里，我们展示了地下水对河流总流量的贡献(量化为基流指数；BFI)预测了不同微生物功能组的结构和多样性，这些微生物功能组在9条英国河流上循环N和C，跨越地质BFI梯度从0.23(粘土沉积物)到0.95(白垩石沉积物)。此外，氨单加氧酶DNA序列的GC含量(DNA序列中鸟嘌呤-胞嘧啶碱基的百分比)和密码子使用偏好性，以及相应氨基酸序列的疏水性和净电荷都与BFI密切相关，可能反映了BFI对不同河床沉积物结构的生理适应。我们的结果提供了一个克服“尺度悖论”的机会，微生物生态学家将重点放在小的环境变量上，而不是大尺度的环境变量上，使我们能够扩大我们对微生物生物地球化学的理解，延伸到流域乃至更远的地方。
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 physico-chemical 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.
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影响因子：
6.6
作者：
Baselga, Andres;Orme, C. David L.
通讯作者：
Orme, C. David L.
影响因子：
6.4
作者：
Ahiablame, Laurent;Sheshukov, Aleksey Y.;Moriasi, Daniel
通讯作者：
Moriasi, Daniel
需氧原核生物并不比厌氧原核生物具有更高的GC含量，但专性需氧原核生物具有更高的GC含量。
影响因子：
3.4
作者：
Aslam, Sidra;Lan, Xin-Ran;Niu, Deng-Ke
通讯作者：
Niu, Deng-Ke
影响因子：
5.9
作者：
Gomez-Rodriguez, Carola;Baselga, Andres
通讯作者：
Baselga, Andres
影响因子：
4.5
作者：
Rovelli L;Attard KM;Binley A;Heppell CM;Stahl H;Trimmer M;Glud RN
通讯作者：
Glud RN