Assembly process and co-occurrence network of microbial community in response to free ammonia gradient distribution

被引:0
|
作者
Sun, Shengjie [1 ]
Qiao, Zhiyi [1 ]
Sun, Kexin [2 ]
Huo, Da [3 ]
机构
[1] Tianjin Agr Univ, Coll Fisheries, Tianjin Key Lab Aqua Ecol & Aquaculture, Tianjin, Peoples R China
[2] Frasergen Bioinformat Co Ltd, Wuhan, Peoples R China
[3] Chinese Acad Sci, Inst Hydrobiol, CAS Key Lab Algal Biol, Wuhan, Peoples R China
来源
MICROBIOLOGY SPECTRUM | 2024年 / 12卷 / 09期
基金
中国国家自然科学基金; 中国博士后科学基金;
关键词
network analysis; community assembly; free ammonia; microbial community; ANAEROBIC-DIGESTION; DIVERSITY; RARE; BIOGEOGRAPHY; INHIBITION; PATTERNS; ECOLOGY; ROLES;
D O I
10.1128/spectrum.01051-24
中图分类号
Q93 [微生物学];
学科分类号
071005 ; 100705 ;
摘要
Microorganisms are crucial components of the aquatic ecosystem due to their immense diversity and abundance. They are vital in sustaining ecological services, especially in maintaining essential biogeochemical cycles. Recent years have seen a substantial increase in surplus nitrogenous pollutants in aquatic ecosystems due to the heightened occurrence of anthropogenic activities. Elevated levels of free ammonia (FA, NH3), stemming from the discharge of excess nitrogenous pollutants, have caused notable fluctuations in aquatic ecosystems, leading to water eutrophication and various ecological challenges. The impact of these oscillations on microbial communities in aquatic ecosystems has not been extensively studied. This study employed 16S rRNA gene amplicon sequencing to systematically investigate the dynamics, co-occurrence networks, and assembly processes of microbial communities and their subcommunities (abundant, moderate, and rare) in the Luanhe River Diversion Project in China. Our findings indicate that NH3 concentration significantly influences the dynamics of microbial communities, with a notable decrease in community Richness and Phylogenetic Distance alongside increased community dissimilarity under higher NH3 conditions. The analysis revealed that certain microbial groups, particularly Actinobacteriaota, were notably more prevalent in environments with elevated NH3 levels, suggesting their potential resilience or adaptive responses to NH3 stress. Additionally, through co-occurrence network analysis, we observed dynamic changes in network topology and increased connectedness under NH3 stress. Key nodes, identified as connectors and module hubs, played crucial roles in maintaining network structure, particularly Cyanobacteria and Actinobacteriaota. Furthermore, stochastic processes, particularly drift and dispersal limitation, predominantly shaped the microbial communities. Within the three subcommunities, the impact of drift became more pronounced as the effect of dispersal limitation diminished. Overall, elucidating the dynamics of microbial communities in aquatic ecosystems exposed to NH3 can enhance our comprehension of the ecological mechanisms of microbial communities and provide new insights into the conservation of microbial community diversity and ecological functions.IMPORTANCEThe research presented in this paper explores how varying concentrations of free ammonia impact microbial communities in aquatic ecosystems. By employing advanced gene sequencing techniques, the study reveals significant changes in microbial diversity and network structures in response to increased ammonia levels. Key findings indicate that high ammonia concentrations lead to a decrease in microbial richness and diversity while increasing community dissimilarity. Notably, certain microbial groups, like Actinobacteria, show resilience to ammonia stress. This research enhances our understanding of how pollution affects microbial ecosystems and underscores the importance of maintaining balanced ammonia levels to preserve microbial diversity and ecosystem health. The research presented in this paper explores how varying concentrations of free ammonia impact microbial communities in aquatic ecosystems. By employing advanced gene sequencing techniques, the study reveals significant changes in microbial diversity and network structures in response to increased ammonia levels. Key findings indicate that high ammonia concentrations lead to a decrease in microbial richness and diversity while increasing community dissimilarity. Notably, certain microbial groups, like Actinobacteria, show resilience to ammonia stress. This research enhances our understanding of how pollution affects microbial ecosystems and underscores the importance of maintaining balanced ammonia levels to preserve microbial diversity and ecosystem health.
引用
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页数:15
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