Aquatic EcoHealth Group, Key Laboratory of Urban Environment and Health, Institute of Urban Environment, Chinese Academy of Sciences, 361021, Xiamen, China.
Technical Innovation Service Platform for High Value and High Quality Utilization of Marine Organism, Fuzhou University, 350108, Fuzhou, China.
ISME J. 2019 Sep;13(9):2196-2208. doi: 10.1038/s41396-019-0417-9. Epub 2019 May 3.
Although it is widely recognized that cyanobacterial blooms have substantial influence on the plankton community in general, their correlations with the whole community of eukaryotic plankton at longer time scales remain largely unknown. Here, we investigated the temporal dynamics of eukaryotic plankton communities in two subtropical reservoirs over a 6-year period (2010-2015) following one cyanobacterial biomass cycle-the cyanobacterial bloom (middle 2010), cyanobacteria decrease (late 2010-early 2011), non-bloom (2011-2014), cyanobacteria increase, and second bloom (late 2014-2015). The eukaryotic community succession that strongly correlated with this cyanobacterial biomass cycle was divided into four periods, and each period had distinct characteristics in cyanobacterial biomass and environments in both reservoirs. Integrated co-occurrence networks of eukaryotic plankton based on the whole study period revealed that the cyanobacterial biomass had remarkably high network centralities, and the eukaryotic OTUs that had stronger correlations with the cyanobacterial biomass exhibited higher centralities. The integrated networks were also modularly responded to different eukaryotic succession periods, and therefore correlated with the cyanobacterial biomass cycle. Moreover, sub-networks based on the different eukaryotic succession periods indicated that the eukaryotic co-occurrence patterns were not constant but varied largely associating with the cyanobacterial biomass. Based on these long-term observations, our results reveal that the cyanobacterial biomass cycle created distinct niches between persistent bloom, non-bloom, decrease and increase of cyanobacteria, and therefore associated with distinct eukaryotic plankton patterns. Our results have important implications for understanding how complex aquatic plankton communities respond to cyanobacterial blooms under the changing environments.
尽管人们普遍认识到,蓝藻水华对浮游生物群落有很大的影响,但它们与真核浮游生物整个群落的相关性在较长时间尺度上仍然知之甚少。在这里,我们调查了两个亚热带水库中真核浮游生物群落的时间动态,该研究持续了 6 年(2010-2015 年),其中包括一个蓝藻生物量周期——蓝藻水华(2010 年年中)、蓝藻减少(2010 年年末至 2011 年初)、非水华(2011-2014 年)、蓝藻增加和第二次水华(2014 年年末至 2015 年)。与该蓝藻生物量周期强烈相关的真核生物群落演替被分为四个时期,每个时期在两个水库的蓝藻生物量和环境中都有明显的特征。基于整个研究期间的真核浮游生物综合共现网络显示,蓝藻生物量具有显著高的网络中心度,与蓝藻生物量相关性更强的真核 OTUs 具有更高的中心度。综合网络还对不同的真核生物演替时期表现出模块化响应,因此与蓝藻生物量周期相关。此外,基于不同的真核生物演替时期的子网络表明,真核生物共现模式不是固定不变的,而是与蓝藻生物量有很大的变化。基于这些长期观察,我们的结果表明,蓝藻生物量周期在持续水华、非水华、蓝藻减少和增加之间创造了不同的生态位,因此与不同的真核浮游生物模式相关。我们的研究结果对于理解在不断变化的环境下,复杂的水生浮游生物群落如何对蓝藻水华做出响应具有重要意义。