Effect of the Yellow River diversion project on bacterial community in the Fenhe River

XU Shaoying; REN Yanmin; LI Junjian

doi:10.12405/j.issn.2097-1486.2026.02.003

您当前的位置：

首页 >

文章列表页 >

Effect of the Yellow River diversion project on bacterial community in the Fenhe River

Succession of Plankton Communities and the ecological governance strategies of the Yellow River | 更新时间：2026-06-16

- Effect of the Yellow River diversion project on bacterial community in the Fenhe River
- Emerging Science and Technology(Nat.Sci.Ed.) Vol. 5, Issue 2, Pages: 131-140(2026)
- 作者机构：
  
  山西大学黄土高原研究所，山西太原 030006
- 作者简介：
- 基金信息：
- DOI：10.12405/j.issn.2097-1486.2026.02.003
  CLC： X171.1
- Received：10 November 2025，
  
  Revised：2025-12-19，
  
  Published：25 June 2026
- 稿件说明：
移动端阅览
许少颖,任衍敏,李君剑.引黄入晋工程对汾河水体细菌群落的影响[J].新兴科学和技术趋势,2026,5(2):131-140.

XU Shaoying,REN Yanmin,LI Junjian.Effect of the Yellow River diversion project on bacterial community in the Fenhe River[J].Emerging Science and Technology,2026,5(2):131-140.
许少颖,任衍敏,李君剑.引黄入晋工程对汾河水体细菌群落的影响[J].新兴科学和技术趋势,2026,5(2):131-140. DOI： 10.12405/j.issn.2097-1486.2026.02.003.

XU Shaoying,REN Yanmin,LI Junjian.Effect of the Yellow River diversion project on bacterial community in the Fenhe River[J].Emerging Science and Technology,2026,5(2):131-140. DOI： 10.12405/j.issn.2097-1486.2026.02.003.

摘要

引黄入晋工程是缓解山西水资源短缺、改善生态环境的重要战略举措。细菌群落在维持水质稳定中作用关键，但其在引水干扰下的动态变化机制尚不清晰。本研究于间歇期与引水期通过16S rRNA基因高通量测序技术，分别在汾河受水与未受水河段进行监测，进而分析引黄入晋对汾河水体细菌群落组成及构建机制的变化。结果表明，引水期细菌α多样性显著提升，β多样性差异加大，受水区变化幅度显著高于未受水区，表明引水已成为驱动群落重塑的重要外部扰动。群落组成方面，间歇期以Proteobacteria（变形菌门）和Bacteroidota（拟杆菌门）为主；引水期Actinobacteriota（放线菌门）在受水段快速升高（15.97%—36.00%），部分稀有类群短期跃升，反映外源水输入改变了生态位格局并促进稀有群落扩散定殖。网络分析表明，引水增强了群落复杂性与模块化，稀有类群在维持网络稳定性中发挥核心作用。细菌群落与环境地理因子关系表明，NO₃⁻-N、DOC和导电率是主要驱动变量，但引水削弱了环境梯度与地理隔离效应，导致随机过程在群落组装中的贡献上升。βNTI揭示，引水使群落构建由确定性向随机性机制转变，温度及营养盐变化是关键因素。本研究从微生物视角揭示了跨流域引水对河流生态系统的深远影响，为区域生态调控与水质管理提供科学参考。

Abstract

The Yellow River Diversion project into Shanxi is a strategic initiative to alleviate water scarcity and improve the ecological environment in Shanxi Province. Bacterial communities play a crucial role in maintaining water quality stability， yet their dynamic responses to water diversion remain unclear. In this study， we employed 16S rRNA high-throughput sequencing during both the non-diversion and diversion periods to monitor bacterial communities in diverted and non-diverted sections of the Fenhe River， aiming to elucidate the effects of the diversion on community composition and assembly processes. The results showed that bacterial α-diversity increased significantly during diversion， while β-diversity differences were amplified， with more pronounced shifts in diverted than in non-diverted sections， indicating that diversion has become a major external driver of community restructuring. In terms of composition， proteobacteria and bacteroidota dominated during the non-diversion period， whereas actinobacteriota rapidly increased in diverted sections during diversion （15.97%—36.00%）. Additionally， some rare taxa exhibited short-term blooms， reflecting altered ecological niche patterns and enhanced dispersal and colonization of rare taxa triggered by exogenous water input. Network analysis revealed that diversion enhanced community complexity and modularity， with rare taxa serving as keystone groups in maintaining network stability. Correlation analysis indicated that NO₃⁻-N， DOC， and conductivity were the main environmental drivers； however， diversion weakened the effects of environmental gradients and geographic isolation， thereby increasing the role of stochastic processes in community assembly. βNTI further demonstrated a shift from deterministic to stochastic assembly mechanisms under diversion， primarily influenced by temperature and nutrient variations. This study reveals from the microbial perspective the profound ecological impacts of cross-basin water diversion on river ecosystems and provides scientific reference for the ecological regulation and water quality management in the region.

关键词

Keywords

references

王新义 . 山西省万家寨引黄入晋一期工程重视工程沿线环境治理和保护［J］. 中国水利， 2006 （ 12 ）： 51 - 52 . DOI： 10.3969/j.issn.1000-1123.2006.12.019 http://dx.doi.org/10.3969/j.issn.1000-1123.2006.12.019 .

Chen Haoda ， Zhang Lulu ， Zheng Zishuai ， et al . Hydrological connectivity shape the nitrogen pollution sources and microbial community structure in a river-lake connected system ［J］. Frontiers in Microbiology ， 2025 ， 16 ： 1563578 . DOI： 10.3389/fmicb.2025.1563578 http://dx.doi.org/10.3389/fmicb.2025.1563578 .

Newton R J ， Jones S E ， Eiler A ， et al . A guide to the natural history of freshwater lake bacteria ［J］. Microbiology and molecular biology reviews ， 2011 ， 75 （ 1 ）： 14 - 49 . DOI： 10.1128/MMBR.00028-10 http://dx.doi.org/10.1128/MMBR.00028-10 .

Graham E B ， Knelman J E ， Schindlbacher A ， et al . Microbes as engines of ecosystem function： when does community structure enhance predictions of ecosystem processes？［J］. Frontiers in microbiology ， 2016 ， 7 ： 214 . DOI： 10.3389/fmicb.2016.00214 http://dx.doi.org/10.3389/fmicb.2016.00214 .

Wang Jingting ， Fan Ganbing ， He Xiaojia ， et al . Response of bacterial communities to variation in water quality and physicochemical conditions in a river-reservoir system ［J］. Global Ecology and Conservation ， 2021 ， 27 ： e01541 . DOI： 10.1016/j.gecco.2021.e01541 http://dx.doi.org/10.1016/j.gecco.2021.e01541 .

Zhou Jizhong ， Deng Ye ， Zhang Ping ， et al . Stochasticity， succession， and environmental perturbations in a fluidic ecosystem ［J］. Proceedings of the National Academy of Sciences ， 2014 ， 111 （ 9 ）： E836 - E845 . DOI： 10.1073/pnas.1324044111 http://dx.doi.org/10.1073/pnas.1324044111 .

徐晖，周俊杰，黄健 . 引水工程对微生物群落稳定性及构建机制的影响［J］. 环境科学与技术， 2025 ， 48 （ 11 ）： 102 - 109 . DOI： 10.19672/j.cnki.1003-6504.0604.25.338 http://dx.doi.org/10.19672/j.cnki.1003-6504.0604.25.338 .

Dixon P . VEGAN， a package of R functions for community ecology ［J］. Journal of vegetation science ， 2003 ， 14 （ 6 ）： 927 - 930 . DOI： 10.1111/j.1654-1103.2003.tb02228.x http://dx.doi.org/10.1111/j.1654-1103.2003.tb02228.x .

Kruskal J B . Nonmetric multidimensional scaling： a numerical method ［J］. Psychometrika ， 1964 ， 29 （ 2 ）： 115 - 129 .

Barberán A ， Bates S T ， Casamayor E O ， et al . Using network analysis to explore co-occurrence patterns in soil microbial communities ［J］. The ISME journal ， 2012 ， 6 （ 2 ）： 343 - 351 . DOI： 10.1038/ismej.2011.119 http://dx.doi.org/10.1038/ismej.2011.119 .

Bastian M ， Heymann S ， Jacomy M . Gephi： an open source software for exploring and manipulating networks ［C］// Proceedings of the international AAAI conference on web and social media . Naval Research Laboratory， Silver Spring， Maryland， USA . 2009 ： 361 - 362 .

Hijmans R J ， Williams E ， Vennes C ， et al . Package ‘geosphere’ ［J］. Spherical trigonometry ， 2017 ， 1 （ 7 ）： 1 - 45 .

Borcard D ， Legendre P ， Drapeau P . Partialling out the spatial component of ecological variation ［J］. Ecology ， 1992 ， 73 （ 3 ）： 1045 - 1055 .

Legendre P . Numerical ecology ［M］. Amsterdam ： Elsevier ， 2012 ： 274 - 286 .

Ter Braak C J F ， Smilauer P . CANOCO reference manual and CanoDraw for Windows user's guide： software for canonical community ordination （version 4.5）［R］. www. canoco. com ， 2002 .

Clarke K R ， Gorley R N ， Somerfield P J ， et al . Change in marine communities： an approach to statistical analysis and interpretation ［M］. Cambridge ： Cambridge University Press ， 2014 ： 65 - 80 .

Cutler D R ， Edwards J T C ， Beard K H ， et al . Random forests for classification in ecology ［J］. Ecology ， 2007 ， 88 （ 11 ）： 2783 - 2792 . DOI： 10.1890/07-0539.1 http://dx.doi.org/10.1890/07-0539.1 .

Stegen J C ， Lin Xueju ， Fredrickson J K ， et al . Quantifying community assembly processes and identifying features that impose them ［J］. The ISME journal ， 2013 ， 7 （ 11 ）： 2069 - 2079 . DOI： 10.1038/ismej.2013.93 http://dx.doi.org/10.1038/ismej.2013.93 .

Lü Jiali ， Niu Yangdan ， Yuan Ruiqiang ， et al . Different responses of bacterial and archaeal communities in river sediments to water diversion and seasonal changes ［J］. Microorganisms ， 2021 ， 9 （ 4 ）： 782 . DOI： 10.3390/microorganisms9040782 http://dx.doi.org/10.3390/microorganisms9040782 .

袁瑞强，吕嘉丽，王仕琴 . 受引黄影响的河流沉积物细菌群落季节变化［J］. 环境科学学报， 2019 ， 39 （ 07 ）： 2190 - 2199 . DOI： 10.13671/j.hjkxxb.2019.0068 http://dx.doi.org/10.13671/j.hjkxxb.2019.0068 .

Zeglin L H . Stream microbial diversity in response to environmental changes： review and synthesis of existing research ［J］. Frontiers in microbiology ， 2015 ， 6 ： 454 . DOI： 10.3389/fmicb.2015.00454 http://dx.doi.org/10.3389/fmicb.2015.00454 .

Zhuang Wen . Eco-environmental impact of inter-basin water transfer projects： a review ［J］. Environmental Science and Pollution Research ， 2016 ， 23 （ 13 ）： 12867 - 12879 . DOI： 10.1007/s11356-016-6854-3 http://dx.doi.org/10.1007/s11356-016-6854-3 .

Lü Jiali ， Yuan Ruiqiang ， Wang Shiqin . Water diversion induces more changes in bacterial and archaeal communities of river sediments than seasonality ［J］. Journal of Environmental Management ， 2021 ， 293 ： 112876 . DOI： 10.1016/j.jenvman.2021.112876 http://dx.doi.org/10.1016/j.jenvman.2021.112876 .

Chen Ming ， Bao Wenxiu ， Zhang Wen ， et al . Interaction characteristics of bacterial communities in water and sediment in the Yellow River based on high-throughput absolute quantification ［J］. World Journal of Microbiology and Biotechnology ， 2025 ， 41 （ 8 ）： 268 . DOI： 10.1007/s11274-025-04503-7 http://dx.doi.org/10.1007/s11274-025-04503-7 .

Argiroff W A ， Zak D R ， Lanser C M ， et al . Microbial community functional potential and composition are shaped by hydrologic connectivity in riverine floodplain soils ［J］. Microbial ecology ， 2017 ， 73 （ 3 ）： 630 - 644 . DOI： 10.1007/s00248-016-0883-9 http://dx.doi.org/10.1007/s00248-016-0883-9 .

Li Feilong ， Zhang Yan ， Altermatt F ， et al . Consideration of multitrophic biodiversity and ecosystem functions improves indices on river ecological status ［J］. Environmental science & technology ， 2021 ， 55 （ 24 ）： 16434 - 16444 . DOI： 10.1021/acs.est.1c05899 http://dx.doi.org/10.1021/acs.est.1c05899 .

Zheng Fuchao ， Zhang Tiange ， Yin Shenglai ， et al . Comparison and interpretation of freshwater bacterial structure and interactions with organic to nutrient imbalances in restored wetlands ［J］. Frontiers in Microbiology ， 2022 ， 13 ： 946537 . DOI： 10.3389/fmicb.2022.946537 http://dx.doi.org/10.3389/fmicb.2022.946537 .

She Yuanyang ， Wang Peng ， Wen Jiawei ， et al . Riverine bacterial communities are more shaped by species sorting in intensive urban and agricultural watersheds ［J］. Frontiers in Microbiology ， 2024 ， 15 ： 1463549 . DOI： 10.3389/fmicb.2024.1463549 http://dx.doi.org/10.3389/fmicb.2024.1463549 .

Lynch M D J ， Neufeld J D . Ecology and exploration of the rare biosphere ［J］. Nature Reviews Microbiology ， 2015 ， 13 （ 4 ）： 217 - 229 . DOI： 10.1038/nrmicro3400 http://dx.doi.org/10.1038/nrmicro3400 .

Huber P ， Metz S ， Unrein F ， et al . Environmental heterogeneity determines the ecological processes that govern bacterial metacommunity assembly in a floodplain river system ［J］. The ISME Journal ， 2020 ， 14 （ 12 ）： 2951 - 2966 . DOI： 10.1038/s41396-020-0723-2 http://dx.doi.org/10.1038/s41396-020-0723-2 .

Faust K ， Raes J . Microbial interactions： from networks to models ［J］. Nature Reviews Microbiology ， 2012 ， 10 （ 8 ）： 538 - 550 . DOI： 10.1038/nrmicro2832 http://dx.doi.org/10.1038/nrmicro2832 .

Zhou Jizhong ， Deng Ye ， Luo Feng ， et al . Phylogenetic molecular ecological network of soil microbial communities in response to elevated CO 2 ［J］. MBio ， 2011 ， 2 （ 4 ）： e00122-11 . DOI： 10.1128/mBio.00122-11 http://dx.doi.org/10.1128/mBio.00122-11 .

Coyte K Z ， Schluter J ， Foster K R . The ecology of the microbiome： networks， competition， and stability ［J］. Science ， 2015 ， 350 （ 6261 ）： 663 - 666 . DOI： 10.1126/science.aad2602 http://dx.doi.org/10.1126/science.aad2602 .

Banerjee S ， Schlaeppi K ， Van Der Heiden M G A . Keystone taxa as drivers of microbiome structure and functioning ［J］. Nature Reviews Microbiology ， 2018 ， 16 （ 9 ）： 567 - 576 . DOI： 10.1038/s41579-018-0024-1 http://dx.doi.org/10.1038/s41579-018-0024-1 .

Lindström E S ， Langenheder S . Local and regional factors influencing bacterial community assembly ［J］. Environmental Microbiology Reports ， 2012 ， 4 （ 1 ）： 1 - 9 . DOI： 10.1111/j.1758-2229.2011.00257.x http://dx.doi.org/10.1111/j.1758-2229.2011.00257.x .

Yang Nan ， Hou Xing ， Li Yi ， et al . Inter-basin water diversion homogenizes microbial communities mainly through stochastic assembly processes ［J］. Environmental Research ， 2023 ， 223 ： 115473 . DOI： 10.1016/j.envres.2023.115473 http://dx.doi.org/10.1016/j.envres.2023.115473 .

Martiny J B H ， Bohannan B J M ， Brown J H ， et al . Microbial biogeography： putting microorganisms on the map ［J］. Nature Reviews Microbiology ， 2006 ， 4 （ 2 ）： 102 - 112 . DOI： 10.1038/nrmicro1341 http://dx.doi.org/10.1038/nrmicro1341 .

Tang Moran ， Chen Qian ， Xiao Xinzong ， et al . Differential impacts of water diversion and environmental factors on bacterial， archaeal， and fungal communities in the eastern route of the South-to-North water diversion project ［J］. Environment International ， 2025 ， 195 ： 109280 . DOI： 10.1016/j.envint.2025.109280 http://dx.doi.org/10.1016/j.envint.2025.109280 .

Wang Gelin ， Gu Likun ， BOHU T ， et al . Deciphering microbial assembly and coexistence in rivers subjected to long-term reclaimed water replenishment ［J］. Environmental Pollution ， 2024 ， 363 ： 125299 . DOI： 10.1016/j.envpol.2024.125299 http://dx.doi.org/10.1016/j.envpol.2024.125299 .

Fang Wangkai ， Fan Tingyu ， Wang Shun ， et al . Seasonal changes driving shifts in microbial community assembly and species coexistence in an urban river ［J］. Science of the Total Environment ， 2023 ， 905 ： 167027 . DOI： 10.1016/j.scitotenv.2023.167027 http://dx.doi.org/10.1016/j.scitotenv.2023.167027 .

Stegen J C ， Lin Xuejun ， Fredrickson J K ， et al . Estimating and mapping ecological processes influencing microbial community assembly ［J］. Frontiers in microbiology ， 2015 ， 6 ： 370 . DOI： 10.3389/fmicb.2015.00370 http://dx.doi.org/10.3389/fmicb.2015.00370 .

Zhou Jizhong ， Liu Wenzong ， Deng Ye ， et al . Stochastic assembly leads to alternative communities with distinct functions in a bioreactor microbial community ［J］. mbio ， 2013 ， 4 （ 2 ）： e00584-12 . DOI： 10.1128/mbio.00584-12 http://dx.doi.org/10.1128/mbio.00584-12 .

巢欣，杨胜娴，刘惠秋，等 . 雅鲁藏布江下游浮游植物群落构建机制及驱动因素［J］. 湖泊科学， 2025 ， 37 （ 01 ）： 215 - 229 . DOI： 10.18307/2025.0135 http://dx.doi.org/10.18307/2025.0135 .

代泽成，刘月秀，党宁，等 . 长期氮水添加对温带草原土壤化学性质和微生物学特性的短期遗留效应［J］. 应用生态学报， 2023 ， 34 （ 07 ）： 1834 - 1844 . DOI： 10.13287/j.1001-9332.202307.016 http://dx.doi.org/10.13287/j.1001-9332.202307.016 .

Sun Rui ， Zhang Xiaowei ， Guo Xiang ， et al . Temperature regulates microbial community assembly and ecological function in freshwater ecosystems ［J］. Water Research ， 2022 ， 224 ： 119020 . DOI： 10.1016/j.watres.2022.119020 http://dx.doi.org/10.1016/j.watres.2022.119020 .

王璐，杨海军，李玲，等 . 长白山地区溪流冻结初期凋落叶分解与底栖动物定殖的关系［J］. 应用生态学报， 2017 ， 28 （ 11 ）： 3775 - 3783 . DOI： 10.13287/j.1001-9332.201711.035 http://dx.doi.org/10.13287/j.1001-9332.201711.035 .

Wang Yuming ， Wang Yutao ， Shang Jiahui ， et al . Redox gradients drive microbial community assembly patterns and molecular ecological networks in the hyporheic zone of effluent-dominated rivers ［J］. Water Research ， 2024 ， 248 ： 120900 . DOI： 10.1016/j.watres.2023.120900 http://dx.doi.org/10.1016/j.watres.2023.120900 .

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

A survey of Graph Neural Network： from static modelling to dynamic evolution

Characteristics of Yunnan's scientific and technological development in the historical process

Research progress in algae-derived pollution

The impact of sand and dust weather on health and its protective measures

A study on Xianbei ethnic group's integration into the community for the Chinese nation： From a perspective of the mathematical astronomy in the Northern Dynasties

Related Author

No data

Related Institution

No data

⁰