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| Main Authors: | , , , , , , , |
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| Format: | Artículo científico |
| Language: | en |
| Published: |
Microbial ecology
2025
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| Subjects: | |
| Online Access: | https://pubmed.ncbi.nlm.nih.gov/40993491/ |
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| _version_ | 1868266149484953601 |
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| author | Sun, Shengjie Qiao, Zhiyi Tikhonenkov, Denis V Gong, Yingchun Li, Hua Li, Renhui Sun, Kexin Huo, Da |
| author_facet | Sun, Shengjie Qiao, Zhiyi Tikhonenkov, Denis V Gong, Yingchun Li, Hua Li, Renhui Sun, Kexin Huo, Da Sun, Shengjie Qiao, Zhiyi Tikhonenkov, Denis V Gong, Yingchun Li, Hua Li, Renhui Sun, Kexin Huo, Da |
| collection | PubMed - marine biology |
| contents | Temporal Dynamics and Adaptive Mechanisms of Microbial Communities: Divergent Responses and Network Interactions. Sun, Shengjie Qiao, Zhiyi Tikhonenkov, Denis V Gong, Yingchun Li, Hua Li, Renhui Sun, Kexin Huo, Da Microbiota Bacteria Biodiversity Ecosystem Rivers Eukaryota Water Microbiology High-Throughput Nucleotide Sequencing Microbial communities are vital to aquatic ecosystems, driving biogeochemical cycles, nutrient recycling, and overall ecosystem functioning. However, their instant feedback, particularly in response to environmental fluctuations, remain insufficiently understood. In this study, we investigated the interaction of prokaryotic and eukaryotic microbial communities in riverine ecosystems under temporal dynamics using high-throughput sequencing and co-occurrence network analysis. We observed distinct patterns, with eukaryotic communities showing a consistent increase in alpha diversity, while prokaryotic communities exhibited more variable and directional shifts over time. Two key phases were identified: a dynamic phase characterized by rapid changes in both alpha and beta diversity and a stabilization phase where community composition became more stable, with increased evenness. Co-occurrence network analysis revealed a transition from a modular structure in the dynamic phase to a more centralized and highly connected network in the stabilization phase. While modularity can enhance stability by localizing perturbations within distinct subnetworks, increased centralization and connectivity may weaken this stabilizing effect, potentially making the network less resilient to environmental fluctuations. Our findings provide new insights into the adaptive mechanisms that sustain microbial community stability and resilience in dynamic aquatic ecosystems, emphasizing the importance of diversity and network structure in maintaining ecological stability. |
| format | Artículo científico |
| id | pubmed_40993491 |
| institution | PubMed |
| language | en |
| publishDate | 2025 |
| publisher | Microbial ecology |
| record_format | pubmed |
| spellingShingle | Temporal Dynamics and Adaptive Mechanisms of Microbial Communities: Divergent Responses and Network Interactions. Sun, Shengjie Qiao, Zhiyi Tikhonenkov, Denis V Gong, Yingchun Li, Hua Li, Renhui Sun, Kexin Huo, Da Microbiota Bacteria Biodiversity Ecosystem Rivers Eukaryota Water Microbiology High-Throughput Nucleotide Sequencing Temporal Dynamics and Adaptive Mechanisms of Microbial Communities: Divergent Responses and Network Interactions. Sun, Shengjie Qiao, Zhiyi Tikhonenkov, Denis V Gong, Yingchun Li, Hua Li, Renhui Sun, Kexin Huo, Da Microbiota Bacteria Biodiversity Ecosystem Rivers Eukaryota Water Microbiology High-Throughput Nucleotide Sequencing Microbial communities are vital to aquatic ecosystems, driving biogeochemical cycles, nutrient recycling, and overall ecosystem functioning. However, their instant feedback, particularly in response to environmental fluctuations, remain insufficiently understood. In this study, we investigated the interaction of prokaryotic and eukaryotic microbial communities in riverine ecosystems under temporal dynamics using high-throughput sequencing and co-occurrence network analysis. We observed distinct patterns, with eukaryotic communities showing a consistent increase in alpha diversity, while prokaryotic communities exhibited more variable and directional shifts over time. Two key phases were identified: a dynamic phase characterized by rapid changes in both alpha and beta diversity and a stabilization phase where community composition became more stable, with increased evenness. Co-occurrence network analysis revealed a transition from a modular structure in the dynamic phase to a more centralized and highly connected network in the stabilization phase. While modularity can enhance stability by localizing perturbations within distinct subnetworks, increased centralization and connectivity may weaken this stabilizing effect, potentially making the network less resilient to environmental fluctuations. Our findings provide new insights into the adaptive mechanisms that sustain microbial community stability and resilience in dynamic aquatic ecosystems, emphasizing the importance of diversity and network structure in maintaining ecological stability. |
| title | Temporal Dynamics and Adaptive Mechanisms of Microbial Communities: Divergent Responses and Network Interactions. |
| topic | Microbiota Bacteria Biodiversity Ecosystem Rivers Eukaryota Water Microbiology High-Throughput Nucleotide Sequencing |
| url | https://pubmed.ncbi.nlm.nih.gov/40993491/ |