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南水北调中线工程水质与微生物群落动态:特征及驱动机制

Dynamics of Water Quality and Microbial Communities in the Middle Route of the South-to-North Water Diversion Project: Characterization and Driving Mechanisms.

作者信息

Liu Xinyong, Chang Zhibing, Liu Li, Li Juechun, Gao Jing, Wang Yingcai, Su Yuming, Hu Yuxin, Peng Yu

机构信息

China South-to-North Water Diversion Middle Route Corporation Ltd., Beijing 100038, China.

Hubei Provincial Key Laboratory for Basin Ecology Intelligent Monitoring-Prediction and Protection, Wuhan 430010, China.

出版信息

Microorganisms. 2025 Aug 14;13(8):1895. doi: 10.3390/microorganisms13081895.

DOI:10.3390/microorganisms13081895
PMID:40871399
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC12388541/
Abstract

Microbial communities, as critical functional components of riverine ecosystems, play a pivotal role in biogeochemical cycles and water quality regulation. The South-to-North Water Diversion Middle Route Project (SNWD-MRP) is a major cross-basin water transfer initiative, and bacteria are essential for the stability of water quality in the project. This study employed environmental DNA (eDNA) metabarcoding targeting the 16S rRNA gene to investigate spatiotemporal variations in water quality and bacterial communities along the SNWD-MRP during summer and winter. Integrated analyses, including redundancy analysis (RDA), Mantel tests, and ecological network modeling, were applied to unravel the driving mechanisms of microbial succession. The water quality along the SNWD-MRP is generally classified as Grade I, with significant seasonal variations in water quality parameters and microbial community composition. In the summer, higher temperatures lead to an increased abundance of cyanobacteria. In contrast, during the winter, lower water temperatures and higher dissolved oxygen levels result in the dominance of and species. RDA identified the permanganate index as the primary driver of microbial composition across seasons, with total phosphorus and total nitrogen having a greater influence in winter. Mantel tests highlighted significant correlations between Cyanobacteria and total phosphorus during winter. Ecological network analysis revealed that the complexity and connectivity of the winter network increased, likely due to suitable nutrient levels rendering the microbial network more complex and stable. These findings underscore the synergistic effects of temperature and nutrient availability on microbial succession, providing actionable insights for optimizing water quality management and ecological stability in large-scale water diversion systems.

摘要

微生物群落作为河流生态系统的关键功能组成部分,在生物地球化学循环和水质调节中发挥着关键作用。南水北调中线工程是一项重大的跨流域调水工程,细菌对于该工程水质的稳定至关重要。本研究采用靶向16S rRNA基因的环境DNA(eDNA)宏条形码技术,调查了南水北调中线工程沿线夏季和冬季水质及细菌群落的时空变化。应用包括冗余分析(RDA)、Mantel检验和生态网络建模在内的综合分析方法,以揭示微生物演替的驱动机制。南水北调中线工程沿线水质总体为Ⅰ类,水质参数和微生物群落组成存在显著的季节变化。夏季,较高的温度导致蓝藻丰度增加。相反,冬季水温较低和溶解氧水平较高导致 和 物种占主导地位。RDA确定高锰酸盐指数是不同季节微生物组成的主要驱动因素,总磷和总氮在冬季影响更大。Mantel检验突出了冬季蓝藻与总磷之间的显著相关性。生态网络分析表明,冬季网络的复杂性和连通性增加,可能是由于适宜的营养水平使微生物网络更加复杂和稳定。这些发现强调了温度和养分有效性对微生物演替的协同作用,为优化大规模调水系统中的水质管理和生态稳定性提供了可操作的见解。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c66/12388541/e35ce4c64a93/microorganisms-13-01895-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c66/12388541/9ebccc0edabe/microorganisms-13-01895-g001.jpg
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https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c66/12388541/74ea258862b3/microorganisms-13-01895-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c66/12388541/b9ff0514e6ae/microorganisms-13-01895-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c66/12388541/e35ce4c64a93/microorganisms-13-01895-g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c66/12388541/9ebccc0edabe/microorganisms-13-01895-g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c66/12388541/58e5521a94c1/microorganisms-13-01895-g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c66/12388541/81e61fa352d2/microorganisms-13-01895-g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c66/12388541/db70fb82d920/microorganisms-13-01895-g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c66/12388541/74ea258862b3/microorganisms-13-01895-g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c66/12388541/b9ff0514e6ae/microorganisms-13-01895-g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/3c66/12388541/e35ce4c64a93/microorganisms-13-01895-g007.jpg

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Microbiome analysis in Asia's largest watershed reveals inconsistent biogeographic pattern and microbial assembly mechanisms in river and lake systems.
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