{"title":"Sulfate and pH drive microbial assembly and coexistence in hyporheic zone contaminated by acid coal mine drainage","authors":"Liyuan Ma, Lanfang Lin, Xingjie Wang, Zikui Zheng, Xin Zhang, Pallavee Srivastava, Xubo Gao","doi":"10.1016/j.jhydrol.2025.132703","DOIUrl":null,"url":null,"abstract":"Overflow of Acid Mine Drainage (AMD) from coal mining poses critical ecological restoration challenges to the surrounding water, sediment and soil. However, little is known about the assembly processes and coexistence patterns of microbial communities in AMD-contaminated rivers. Therefore, by using high-throughput sequencing combined with multivariate statistical analysis, the seasonal dynamics of microbial distribution, community assembly, and coexistence patterns in the Shandi River, a river seriously polluted by overflowed AMD were revealed. The results indicated that the patterns of contamination, community assembly and coexistence in high- and low-contaminated areas showed similar patterns in both two seasons. The levels of hydrogen ion, sulfate and heavy metals increased from low-contaminated areas toward high-contaminated areas. Microbial diversity and community structure significantly differed along the river. <ce:italic>Acidiphilium</ce:italic> and <ce:italic>Ferrimicrobium,</ce:italic> which were capable of thriving in environments with high acidity and sulfate levels, were predominant in high-contaminated areas. Stochastic processes predominantly influenced microbial assembly in low-contaminated areas, while deterministic processes were more pronounced in high-contaminated areas. Meanwhile, negative interactions in microbial co-occurrences, were more frequent in high-contaminated areas with increased network modularity. Linear regression analysis results demonstrated that pH and sulfate were significantly correlated with biodiversity indicators, βNTI and closeness centrality, and determined as the primary drivers of microbial community structure and assembly processes. These findings highlight the crucial role of sulfate content and pH in shaping microbial diversity, community assembly, and species coexistence in coal AMD-contaminated areas.","PeriodicalId":362,"journal":{"name":"Journal of Hydrology","volume":"49 1","pages":""},"PeriodicalIF":5.9000,"publicationDate":"2025-01-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Hydrology","FirstCategoryId":"89","ListUrlMain":"https://doi.org/10.1016/j.jhydrol.2025.132703","RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"ENGINEERING, CIVIL","Score":null,"Total":0}
引用次数: 0
Abstract
Overflow of Acid Mine Drainage (AMD) from coal mining poses critical ecological restoration challenges to the surrounding water, sediment and soil. However, little is known about the assembly processes and coexistence patterns of microbial communities in AMD-contaminated rivers. Therefore, by using high-throughput sequencing combined with multivariate statistical analysis, the seasonal dynamics of microbial distribution, community assembly, and coexistence patterns in the Shandi River, a river seriously polluted by overflowed AMD were revealed. The results indicated that the patterns of contamination, community assembly and coexistence in high- and low-contaminated areas showed similar patterns in both two seasons. The levels of hydrogen ion, sulfate and heavy metals increased from low-contaminated areas toward high-contaminated areas. Microbial diversity and community structure significantly differed along the river. Acidiphilium and Ferrimicrobium, which were capable of thriving in environments with high acidity and sulfate levels, were predominant in high-contaminated areas. Stochastic processes predominantly influenced microbial assembly in low-contaminated areas, while deterministic processes were more pronounced in high-contaminated areas. Meanwhile, negative interactions in microbial co-occurrences, were more frequent in high-contaminated areas with increased network modularity. Linear regression analysis results demonstrated that pH and sulfate were significantly correlated with biodiversity indicators, βNTI and closeness centrality, and determined as the primary drivers of microbial community structure and assembly processes. These findings highlight the crucial role of sulfate content and pH in shaping microbial diversity, community assembly, and species coexistence in coal AMD-contaminated areas.
期刊介绍:
The Journal of Hydrology publishes original research papers and comprehensive reviews in all the subfields of the hydrological sciences including water based management and policy issues that impact on economics and society. These comprise, but are not limited to the physical, chemical, biogeochemical, stochastic and systems aspects of surface and groundwater hydrology, hydrometeorology and hydrogeology. Relevant topics incorporating the insights and methodologies of disciplines such as climatology, water resource systems, hydraulics, agrohydrology, geomorphology, soil science, instrumentation and remote sensing, civil and environmental engineering are included. Social science perspectives on hydrological problems such as resource and ecological economics, environmental sociology, psychology and behavioural science, management and policy analysis are also invited. Multi-and interdisciplinary analyses of hydrological problems are within scope. The science published in the Journal of Hydrology is relevant to catchment scales rather than exclusively to a local scale or site.