Eawag, Swiss Federal Institute of Aquatic Science and Technology, Department of Aquatic Ecology, 8600, Dübendorf, Switzerland.
Swiss Federal Institute of Technology (ETH) Zürich, Institute of Integrative Biology, 8092, Zürich, Switzerland.
Sci Rep. 2019 May 14;9(1):7366. doi: 10.1038/s41598-019-43814-2.
Disentangling the relative importance of deterministic and stochastic processes in shaping natural communities is central to ecology. Studies about community assembly over broad temporal and spatial scales in aquatic microorganisms are scarce. Here, we used 16S rDNA sequence data from lake sediments to test for community assembly patterns in cyanobacterial phylogenies across ten European peri-Alpine lakes and over a century of eutrophication and climate warming. We studied phylogenetic similarity in cyanobacterial assemblages over spatial and temporal distance, and over environmental gradients, comparing detected patterns with theoretical expectations from deterministic and stochastic processes. We found limited evidence for deviation of lake communities from a random assembly model and no significant effects of geographic distance on phylogenetic similarity, suggesting no dispersal limitation and high levels of stochastic assembly. We detected a weak influence of phosphorus, but no significant effect of nitrogen levels on deviation of community phylogenies from random. We found however a significant decay of phylogenetic similarity for non-random communities over a gradient of air temperature and water column stability. We show how phylogenetic data from sedimentary archives can improve our understanding of microbial community assembly processes, and support previous evidence that climate warming has been the strongest environmental driver of cyanobacterial community assembly over the past century.
阐明确定性和随机性过程在塑造自然群落中的相对重要性是生态学的核心问题。关于水生微生物在广泛的时间和空间尺度上的群落组装的研究很少。在这里,我们使用来自湖泊沉积物的 16S rDNA 序列数据,在 10 个欧洲阿尔卑斯山外围湖泊中,跨越一个世纪的富营养化和气候变暖,测试蓝藻系统发育中的群落组装模式。我们研究了蓝藻群落在空间和时间距离以及环境梯度上的系统发育相似性,并将检测到的模式与确定性和随机性过程的理论预期进行了比较。我们发现湖泊群落偏离随机组装模型的证据有限,地理距离对系统发育相似性没有显著影响,这表明没有扩散限制和高水平的随机组装。我们检测到磷的微弱影响,但氮水平对群落系统发育偏离随机的影响不显著。然而,我们发现对于非随机群落,随着空气温度和水柱稳定性梯度的增加,系统发育相似性会显著衰减。我们展示了沉积物档案中的系统发育数据如何能够提高我们对微生物群落组装过程的理解,并支持以前的证据,即过去一个世纪以来,气候变暖一直是蓝藻群落组装的最强环境驱动因素。