Habitat-Specific Regulation of Microbiota in Long-Distance Water Diversion Systems

IF 11.4 1区 环境科学与生态学 Q1 ENGINEERING, ENVIRONMENTAL Water Research Pub Date : 2024-11-25 DOI:10.1016/j.watres.2024.122848
Yanmin Ren, Qirui Fan, Guodong Ji, Junjian Li
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Abstract

Long-distance water diversion projects typically utilize various hydro-engineering facilities, creating complex and dynamic habitats. However, the microbial dynamics of multi-trophic microorganisms during water diversion and their responses to different hydro-engineering habitats remain poorly understood. In this study, we investigated bacteria, fungi, protists, and metazoa across tunnels, reservoirs, and inverted siphon piping along the main and northern branches of the Yellow River Diversion Project into Shanxi, during spring, summer, and autumn. Our results showed that both seasonal factors and hydro-engineering facilities significantly influenced the composition and diversity of microbiota. Bacterial community composition remained relatively stable during water transport, while fungi, protists, and metazoa exhibited greater spatial variability and habitat specificity. Stochastic processes predominantly governed the community assembly of all microbial groups across all hydro-engineering habitats. The structural features of the main network modules within the co-occurrence networks of multi-trophic species were highly consistent across different seasons within the same habitat, indicating the stable adaptation of microbiota interactions to the same habitat. Patterns of intra-kingdom (within bacteria, fungi, protists, or metazoa) and inter-kingdom (between bacteria, fungi, protists, and metazoa) associations of microbiota in different habitats varied, reflecting specific adaptations of microorganisms to particular habitats and suggesting an important role for environmental filtering. Variance partitioning analysis revealed that environmental factors accounted for 34.21% to 45.19% of the variation in the four microbial taxa. Our findings reveal the ecological processes of microbial assembly and adaptation in large-scale water diversion projects, providing insights for project management and risk control.

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长距离引水系统中微生物群的生境特异性调控
长距离引水工程通常会利用各种水利工程设施,形成复杂多变的生境。然而,人们对引水过程中多营养微生物的动态及其对不同水利工程生境的反应仍然知之甚少。在这项研究中,我们调查了引黄入陕工程主干线和北支线沿线隧洞、水库和倒虹吸管道春夏秋三季的细菌、真菌、原生动物和元古代动物。结果表明,季节因素和水利工程设施对微生物群的组成和多样性有显著影响。细菌群落组成在水运过程中保持相对稳定,而真菌、原生动物和元古宙则表现出更大的空间变异性和生境特异性。在所有水文工程栖息地中,随机过程主导着所有微生物群落的组合。在同一栖息地的不同季节,多营养物种共生网络中主要网络模块的结构特征高度一致,这表明微生物群相互作用对同一栖息地的稳定适应。不同生境中微生物群的界内(细菌、真菌、原生动物或元虫内部)和界间(细菌、真菌、原生动物和元虫之间)关联模式各不相同,反映了微生物对特定生境的特殊适应性,并表明环境过滤的重要作用。变异分区分析表明,环境因素占四个微生物类群变异的 34.21% 至 45.19%。我们的研究结果揭示了大型引水工程中微生物集结和适应的生态过程,为工程管理和风险控制提供了启示。
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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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