Key Laboratory of Environmental Biotechnology, Research Center for Eco-Environmental Sciences, Chinese Academy of Sciences, Beijing, 100085, China.
University of Chinese Academy of Sciences, Beijing, 100049, China.
Sci Rep. 2022 Aug 26;12(1):14573. doi: 10.1038/s41598-022-17788-7.
Cyanobacterial blooms, which not only threaten the health and stability of aquatic ecosystems but also influence the microbial community within, emerges as one of the most concerning problems in China. However, how cyanobacterial blooms affect the spatiotemporal variation of aquatic microbial communities remains relatively unclear. In this study, we used high-throughput sequencing to investigate how the cyanobacterial and bacterial community spatiotemporally vary along with main cyanobacterial bloom phases in upstream rivers of a eutrophicated water source reservoir. Both cyanobacterial and bacterial diversities in each river were significantly lower (P < 0.05) during the bloom outbreak phase, showing the apparent influence of cyanobacterial bloom. Dominant cyanobacterial taxa included Cyanobacteriales and Synechococcales, and dominant bacterial taxa comprised Acinetobacter, CL500-29, hgcI clade, Limnohabitans, Flavobacterium, Rhodoluna, Porphyrobacter, Rhodobacter, Pseudomonas, and Rhizobiales, whose changes of relative abundance along with the bloom indicated distinct community composition. Non-metric multidimensional scaling analysis proved that community composition had significant difference amongst bloom phases. Linear discriminant analysis (LDA) with LDA effect size analysis (LEfSe) identified unique dominant cyanobacterial and bacterial OTUs at different phases in each river, indicating spatiotemporal variations of communities. Canonical correlation analysis or redundancy analysis revealed that at different bloom phases communities of each river had distinct correlation patterns with the environmental parameters (temperature, ammonium, nitrate, and total phosphorus etc.), implying the spatial variations of microbial communities. Overall, these results expand current understanding on the spatiotemporal variations of microbial communities due to cyanobacterial blooms. Microbial interactions during the bloom may shed light on controlling cyanobacterial blooms in the similar aquatic ecosystems.
蓝藻水华不仅威胁水生生态系统的健康和稳定，还会影响其中的微生物群落，成为中国最令人关注的问题之一。然而，蓝藻水华如何影响水生微生物群落的时空变化尚不清楚。本研究采用高通量测序技术，调查富营养化水源水库上游河流中主要蓝藻水华阶段的蓝藻和细菌群落的时空变化。每条河流的蓝藻和细菌多样性在水华爆发阶段均显著降低（P<0.05），表明蓝藻水华的明显影响。优势蓝藻类群包括蓝藻目和聚球藻目，优势细菌类群包括不动杆菌属、CL500-29、hgcI 类群、鞘氨醇单胞菌属、黄杆菌属、红杆菌属、假单胞菌属、根瘤菌目、以及 Rhodoluna、Porphyrobacter 和 Rhodobacter 等，其相对丰度随水华的变化表明群落组成发生明显变化。非度量多维尺度分析证明，群落组成在不同的水华阶段有显著差异。线性判别分析（LDA）和 LDA 效应大小分析（LEfSe）确定了每条河流在不同阶段独特的优势蓝藻和细菌 OTUs，表明了群落的时空变化。典范对应分析或冗余分析揭示了不同水华阶段，每条河流的群落与环境参数（温度、铵、硝酸盐和总磷等）具有不同的相关模式，暗示了微生物群落的空间变化。总之，这些结果扩展了由于蓝藻水华导致微生物群落时空变化的现有认识。水华期间的微生物相互作用可能为控制类似水生生态系统中的蓝藻水华提供思路。
