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Updated: Jan 11, 2026

Characterization of Aquatic Biofilms with Flow Cytometry
Published on: June 6, 2018
Connectivity in rivers: Can it be assessed by tracing microorganisms?
Xun Wang1, Yuran Zheng1, Peifang Wang1
1Key Laboratory of Integrated Regulation and Resource Development on Shallow Lake of Ministry of Education, College of Environment, Hohai University, Nanjing, 210098, China.
Microbial community composition, particularly bacterial communities, offers a sensitive way to assess river connectivity, outperforming environmental factors. This research highlights the impact of human activities and natural factors on river ecosystems.
Area of Science:
- Ecology
- Environmental Science
- Microbiology
Background:
- River connectivity is crucial for ecosystem function but is threatened by human activities.
- Traditional assessments of river connectivity focus on physical and chemical aspects, neglecting ecosystem-level characterization.
- Microbial communities are sensitive to environmental changes and exhibit continuity, making them potential indicators of river connectivity.
Purpose of the Study:
- To investigate the feasibility of using microbial community composition to characterize river connectivity.
- To analyze the connectivity of environmental characteristics, bacterial communities, and eukaryotic microbial communities in the Nu River.
- To identify the driving factors influencing microbial and environmental connectivity.
Main Methods:
- Bayesian classification and generalized additive models were employed.
- Analysis included environmental characteristics, bacterial communities, and eukaryotic microbial communities.
- Longitudinal connectivity was assessed for water and sediment components.
Main Results:
- Microbial-based longitudinal connectivity is more sensitive to environmental heterogeneity than environmental connectivity.
- Bacterial community connectivity is more sensitive than eukaryotic microbial community connectivity.
- Water-based connectivity is more indicative than sediment-based connectivity, with bacterial transport influenced by sediment release.
- Human activities significantly impact bacterial community connectivity during low-flow periods, showing a negative correlation with land use.
- Natural factors dominate during high-flow periods for bacterial communities, while eukaryotic microbial communities are influenced by natural factors in low-flow and human factors in high-flow periods.
Conclusions:
- Microbial community composition provides a novel and sensitive approach to evaluating river connectivity.
- Understanding microbial connectivity is essential for effective river management, especially considering the differential impacts of human activities and natural factors across flow periods.
- The study offers a scientific basis for incorporating microbial indicators into river health assessments and management strategies.
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