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A decade of seasonal dynamics and co-occurrences within freshwater bacterioplankton communities from eutrophic Lake Mendota WI USA

机译:来自美国威斯康星州富营养化门多塔湖的淡水浮游植物群落的十年动态和共生现象

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摘要

With an unprecedented decade-long time series from a temperate eutrophic lake, we analyzed bacterial and environmental co-occurrence networks to gain insight into seasonal dynamics at the community level. We found that (1) bacterial co-occurrence networks were non-random, (2) season explained the network complexity and (3) co-occurrence network complexity was negatively correlated with the underlying community diversity across different seasons. Network complexity was not related to the variance of associated environmental factors. Temperature and productivity may drive changes in diversity across seasons in temperate aquatic systems, much as they control diversity across latitude. While the implications of bacterioplankton network structure on ecosystem function are still largely unknown, network analysis, in conjunction with traditional multivariate techniques, continues to increase our understanding of bacterioplankton temporal dynamics.
机译:在温带富营养化湖泊的前所未有的长达十年的时间序列中,我们分析了细菌和环境共生网络,以深入了解社区一级的季节性动态。我们发现(1)细菌共现网络是非随机的,(2)季节解释了网络的复杂性,(3)共现网络的复杂性与不同季节的基础群落多样性呈负相关。网络的复杂性与相关环境因素的变化无关。温度和生产力可能会推动温带水生系统整个季节的多样性变化,就像它们控制纬度的多样性一样。虽然浮游生物网络结构对生态系统功能的影响仍是未知之数,但是网络分析与传统的多变量技术相结合,继续增加了我们对浮游生物时间动态的理解。

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