Aquatic bacterial communities harbour thousands of coexisting taxa. To meet the challenge of discriminating between a 'core' and a sporadically occurring 'random' component of these communities, we explored the spatial abundance distribution of individual bacterioplankton taxa across 198 boreal lakes and their associated fluvial networks (188 rivers). We found that all taxa could be grouped into four distinct categories based on model statistical distributions (normal like, bimodal, logistic and lognormal). The distribution patterns across lakes and their associated river networks showed that lake communities are composed of a core of taxa whose distribution appears to be linked to in-lake environmental sorting (normal-like and bimodal categories), and a large fraction of mostly rare bacteria (94% of all taxa) whose presence appears to be largely random and linked to downstream transport in aquatic networks (logistic and lognormal categories). These rare taxa are thus likely to reflect species sorting at upstream locations, providing a perspective of the conditions prevailing in entire aquatic networks rather than only in lakes.

译文

:水生细菌群落包含成千上万个并存的类群。为了应对区分这些群落的“核心”和偶发性“随机”组成部分的挑战,我们探索了198个北方湖泊及其相关河流网络(188条河流)中单个浮游生物类群的空间丰度分布。我们发现,根据模型统计分布(正态,双峰,对数和对数正态),可以将所有分类单元分为四个不同的类别。湖泊及其相关河网之间的分布模式表明,湖泊群落由一个分类单元的核心组成,其分布似乎与湖内环境分类(类常态和双峰类)有关,并且大部分是稀有细菌(占所有分类单元的94%),其出现在很大程度上似乎是随机的,并且与水生网络(后勤和对数正态类别)中的下游运输有关。因此,这些稀有的分类单元很可能反映了上游地区的物种分类,从而提供了整个水生网络而不是仅湖泊中普遍存在的状况的视角。

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