Seasonal freeze-thaw significantly alters the distinct aquifers solute transport, microbial community assembly patterns, and molecular ecological networks in the hyporheic zone

IF 12.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2025-03-25 DOI:10.1016/j.watres.2025.123555
Dong Li , Yuling Zhang , Xiaosi Su , Jili Wang , Ningfei Li
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Abstract

Elucidating the diversity patterns and assembly mechanisms of microbial communities is crucial for comprehending ecological processes and assessing biogeochemical cycles in the hyporheic zones of cold regions. The spatial and temporal diversity patterns and mechanisms governing these microbial communities are not yet well understood. Our study revealed that microbial richness decreased rapidly during the initial freezing period. However, it began to increase during the deep freezing period due to the role of cold-resistant microorganisms. Meanwhile, the diversity of microorganisms showed a trend that was in line with the lake water- groundwater changes in temperature. Achromobacter and Crenothrix have been designated as biomarkers for the initial freezing period and deep freezing period, respectively. In these phases, factors such as dispersal limitation (26.8 %-47.6 %) and drift (15.1 %-45.2 %), along with other random factors, are the primary drivers of bacterial community assembly. Physical properties (pH, T, DO, EC, Eh) have been identified as the predominant factors (r = 0.75, p < 0.01) affecting the progression of community succession in hyporheic systems throughout the freeze-thaw cycles. Conversely, nutrient properties (r = 0.36, p < 0.01) and the presence of heavy metals (r = 0.18, p < 0.01) play lesser roles, influencing community composition according to partial least squares path modeling. Our insights significantly enhance the understanding of microbial communities in the HZ of frigid areas and carry important consequences for the stewardship and safeguarding of lacustrine ecosystems.

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季节性冻融显著改变了潜流带不同含水层的溶质运移、微生物群落组合模式和分子生态网络
阐明寒区潜流带微生物群落的多样性格局和聚集机制对理解寒区潜流带生态过程和评价寒区生物地球化学循环具有重要意义。控制这些微生物群落的时空多样性模式和机制尚不清楚。我们的研究表明,微生物丰富度在冻结初期迅速下降。然而,由于抗寒微生物的作用,它在深度冷冻期间开始增加。同时,微生物多样性也呈现出与湖水-地下水温度变化一致的趋势。无色杆菌(Achromobacter)和Crenothrix分别被指定为初冻期和深冻期的生物标志物。在这些阶段,扩散限制(26.8% ~ 47.6%)和漂移(15.1% ~ 45.2%)等因素以及其他随机因素是细菌群落聚集的主要驱动因素。物理性质(pH、T、DO、EC、Eh)是影响冻融循环中群落演替进程的主要因素(r=0.75, p<0.01)。相反,根据偏最小二乘路径模型,养分特性(r=0.36, p<0.01)和重金属的存在(r=0.18, p<0.01)对群落组成的影响较小。我们的见解显著增强了对寒冷地区HZ微生物群落的理解,并对湖泊生态系统的管理和保护产生重要影响。
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来源期刊
Water Research
Water Research 环境科学-工程:环境
CiteScore
20.80
自引率
9.40%
发文量
1307
审稿时长
38 days
期刊介绍: Water Research, along with its open access companion journal Water Research X, serves as a platform for publishing original research papers covering various aspects of the science and technology related to the anthropogenic water cycle, water quality, and its management worldwide. The audience targeted by the journal comprises biologists, chemical engineers, chemists, civil engineers, environmental engineers, limnologists, and microbiologists. The scope of the journal include: •Treatment processes for water and wastewaters (municipal, agricultural, industrial, and on-site treatment), including resource recovery and residuals management; •Urban hydrology including sewer systems, stormwater management, and green infrastructure; •Drinking water treatment and distribution; •Potable and non-potable water reuse; •Sanitation, public health, and risk assessment; •Anaerobic digestion, solid and hazardous waste management, including source characterization and the effects and control of leachates and gaseous emissions; •Contaminants (chemical, microbial, anthropogenic particles such as nanoparticles or microplastics) and related water quality sensing, monitoring, fate, and assessment; •Anthropogenic impacts on inland, tidal, coastal and urban waters, focusing on surface and ground waters, and point and non-point sources of pollution; •Environmental restoration, linked to surface water, groundwater and groundwater remediation; •Analysis of the interfaces between sediments and water, and between water and atmosphere, focusing specifically on anthropogenic impacts; •Mathematical modelling, systems analysis, machine learning, and beneficial use of big data related to the anthropogenic water cycle; •Socio-economic, policy, and regulations studies.
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