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Spatiotemporal changes of cyanobacterial and heterotrophic bacterial communities during an algal bloom in a subtropical water source reservoir ecosystem of China
Summary
Researchers used high-throughput sequencing to track how cyanobacterial and heterotrophic bacterial communities in a Chinese reservoir changed spatially and temporally across distinct algal bloom phases. They found that algal bloom progression drove significant shifts in microbial diversity and community composition, with dominant taxa including Cyanobacteriales and genera such as Acinetobacter and Flavobacterium varying across bloom stages.
Abstract Massive nitrogen and phosphorus input into aquatic ecosystems makes algal bloom one of the most concerning problems in China. Algal blooms not only threaten the health and stability of aquatic ecosystems but also influence the microbial community within. However, less is known regarding how algal bloom affects the spatiotemporal variation of the aquatic microbial community, including cyanobacteria and other bacteria. In this study, we used high-throughput sequencing to investigate how the cyanobacterial and bacterial community diversity and composition spatiotemporally vary along with main algal bloom phases in upstream rivers of a eutrophicated water source reservoir. For both cyanobacteria and bacteria, their diversities demonstrated temporal significance amongst different phases in each river, indicating the apparent impact of algal bloom. Dominant cyanobacterial taxa included Cyanobacteriales and Synechococcales , and dominant bacterial taxa comprised Acinetobacter , CL500-29, hgc I clade, Limnohabitans , Flavobacterium , Rhodoluna , Porphyrobacter , Rhodobacter , Pseudomonas , and Rhizobiales , whose relative abundance varied along with the algal bloom, rendering distinct community composition for each river. Non-metric multidimensional scaling analysis additionally indicated significant differences amongst different phases, and the linear discriminant analysis (LDA) with LDA effect size analysis (LEfSe) helped to identify the dominant species (OTUs) in each river at different phases. Canonical correlation analysis (CCA) or redundancy analysis (RDA) revealed distinct correlation patterns of cyanobacterial and bacterial communities with the environmental parameters, which implies their distinct ecological functions. In general, these results demonstrated the significant influence of algal bloom on microbial communities in a eutrophicated water source reservoir basin. These observations also arouse universal demands for strategies conserving the aquatic microbial equilibrium and alleviating algal blooms in reservoirs.
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