Mao Feijian, Li Wenxuan, Sim Zhi Yang, He Yiliang, Chen Qiuwen, Yew-Hoong Gin Karina
Center for Eco-Environment Research, Nanjing Hydraulic Research Institute, Nanjing, 210098, China; NUS Environmental Research Institute, National University of Singapore, 5A Engineering Drive 1, #02-01, Singapore, 117411, Singapore; Energy and Environmental Sustainability Solutions for Megacities (E2S2) Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 1 Create Way, Singapore, 138602, Singapore.
NUS Environmental Research Institute, National University of Singapore, 5A Engineering Drive 1, #02-01, Singapore, 117411, Singapore; Energy and Environmental Sustainability Solutions for Megacities (E2S2) Phase II, Campus for Research Excellence and Technological Enterprise (CREATE), 1 Create Way, Singapore, 138602, Singapore.
J Environ Manage. 2022 Jun 1;311:114889. doi: 10.1016/j.jenvman.2022.114889. Epub 2022 Mar 11.
Cyanobacterial blooms challenge the safe water supply in estuary reservoirs. Yet, data are limited for the variation of phytoplankton dynamics during an algal bloom event at refined scales, which is essential for interpreting the formation and cessation of blooms. The present study investigated the biweekly abundances and dynamics of pico- and nano-phytoplankton in a tropical estuary lake following a prolonged bloom event. Flow cytometry analysis resolved eight phenotypically distinct groups of phytoplankton assigned to nano-eukaryotes (nano-EU), pico/nano-eukaryotes (PicoNano-EU), cryptophyte-like cells (CRPTO), Microcystis-like cells (MIC), pico-eukaryotes (Pico-EU) and three groups of Synechococcus-like cells. Total phytoplankton abundance ranged widely from 2.4 × 10 to 2.8 × 10 cells cm. The phytoplankton community was dominated by Synechococcus-like cells with high phycocyanin content (SYN-PC). Temporal dynamics of the phytoplankton community was phytoplankton- and site-specific. Peak values were observed for SYN-PC, SYN-PE2 (Synechococcus-like cells with low levels of phycoerythrin) and Pico-EU, while the temporal dynamics of other groups were less pronounced. Redundancy analysis (RDA) showed the importance of turbidity as an abiotic factor in the formation of the current SYN-PC induced blooms, and Spearman correlation analysis suggested a competitive relationship between SYN-PC and Pico-EU.
蓝藻水华对河口水库的安全供水构成挑战。然而，在精细尺度上，关于藻类水华事件期间浮游植物动态变化的数据有限，而这对于解释水华的形成和消退至关重要。本研究调查了热带河口湖泊在长时间水华事件后，微型和纳米浮游植物每两周的丰度和动态变化。流式细胞术分析解析出了八组表型不同的浮游植物，分别为纳米真核生物（nano-EU）、微型/纳米真核生物（PicoNano-EU）、隐藻样细胞（CRPTO）、微囊藻样细胞（MIC）、微型真核生物（Pico-EU）以及三组聚球藻样细胞。浮游植物总丰度范围广泛，从2.4×10到2.8×10个细胞/立方厘米。浮游植物群落以藻蓝蛋白含量高的聚球藻样细胞（SYN-PC）为主导。浮游植物群落的时间动态具有浮游植物和位点特异性。观察到SYN-PC、SYN-PE2（藻红蛋白含量低的聚球藻样细胞）和Pico-EU出现峰值，而其他组的时间动态则不太明显。冗余分析（RDA）表明浊度作为一种非生物因素在当前由SYN-PC引发的水华形成中具有重要作用，并且Spearman相关性分析表明SYN-PC和Pico-EU之间存在竞争关系。
