Jones Stuart E, Cadkin Tracey A, Newton Ryan J, McMahon Katherine D
Department of Biological Sciences, University of Notre Dame Notre Dame, IN, USA.
Front Microbiol. 2012 Aug 31;3:318. doi: 10.3389/fmicb.2012.00318. eCollection 2012.
Understanding characteristic variation in aquatic bacterial community composition (BCC) across space and time can inform us about processes driving community assembly and the ability of bacterial communities to respond to perturbations. In this study, we synthesize BCC data from north temperate lakes to evaluate our current understanding of how BCC varies across multiple scales in time and space. A hierarchy of average similarity emerged with the highest similarity found among samples collected within the same lake, especially within the same basin, followed by similarity among samples collected through time within the same lake, and finally similarity among samples collected from different lakes. Using decay of similarity across time and space, we identified equivalent temporal (1 day) and spatial (10 m) scales of BCC variation. Finally, we identify an intriguing pattern of contrasting patterns of intra- and inter-annual BCC variation in two lakes. We argue our synthesis of spatio-temporal variation of aquatic BCC informs expectations for the response of aquatic bacterial communities to perturbation and environmental change. However, further long-term temporal observations will be needed to develop a general understanding of inter-annual BCC variation and our ability to use aquatic BCC as a sensitive metric of environmental change.
了解水生细菌群落组成（BCC）在空间和时间上的特征变化，有助于我们了解驱动群落组装的过程以及细菌群落对扰动的响应能力。在本研究中，我们综合了北温带湖泊的BCC数据，以评估我们目前对BCC在多个时空尺度上如何变化的理解。出现了一个平均相似度层次结构，在同一湖泊内（特别是在同一流域内）采集的样本之间相似度最高，其次是同一湖泊内不同时间采集的样本之间的相似度，最后是从不同湖泊采集的样本之间的相似度。利用时空相似度的衰减，我们确定了BCC变化的等效时间尺度（1天）和空间尺度（10米）。最后，我们在两个湖泊中发现了有趣的年际内和年际间BCC变化对比模式。我们认为，我们对水生BCC时空变化的综合研究为水生细菌群落对扰动和环境变化的响应预期提供了依据。然而，需要进一步的长期时间观测，以全面了解年际BCC变化以及我们将水生BCC用作环境变化敏感指标的能力。
