An integrative study of a meromictic lake ecosystem in Antarctica
An integrative study of a meromictic lake ecosystem in Antarctica
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DOI：
10.1038/ismej.2010.185
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发表时间：
2011-05-01
期刊：
影响因子：
11
通讯作者：
Cavicchioli, Ricardo
中科院分区：
文献类型：
--
作者：
Lauro, Federico M.;DeMaere, Matthew Z.;Cavicchioli, Ricardo
在自然界中，微生物群落的复杂性和结构变化很大，从几个物种到数千个物种，从高度结构化到高度非结构化的群落。在这里，我们描述的身份和功能能力的微生物种群内的不同层的原始，海洋衍生的，meromictic（分层）湖（艾斯湖）在南极洲。九百万个开放阅读帧进行了分析，代表微生物样品取自六个深度的湖泊大小分级的顺序3.0，0.8和0.1 μ m的过滤器，并包括元蛋白质组数据匹配0.1 μ m的过滤器。我们确定如何相互作用的成员，这个高度结构化和适度复杂的社会定义的整个湖泊的地球化学通量。我们的观点是，这个脆弱的生态系统的健康是由极光周期对绿色硫细菌在初级生产和营养循环中的主导作用的影响，以及病毒/噬菌体和噬菌体抗性对整个湖泊微生物群落成员之间合作的影响决定的。为了测试我们的断言，并开发适用于其他微生物驱动的生态系统的框架，我们开发了一个数学模型，描述了微生物系统内的合作如何受到环境参数对微生物关键种群的周期性波动的影响。我们的研究揭示了整个湖泊的微生物群落内的互惠结构，这是由于物理化学参数和群落个体成员的选择之间的机械相互作用而产生的。通过详尽地描述和模拟在Ace湖的相互作用，我们已经开发出一种方法，可以适用于学习环境扰动如何影响更复杂的水生系统中的微生物动力学。The ISME Journal（2011）5，879-895; doi：10.1038/ismej.2010.185; 2010年12月2日在线发表
In nature, the complexity and structure of microbial communities varies widely, ranging from a few species to thousands of species, and from highly structured to highly unstructured communities. Here, we describe the identity and functional capacity of microbial populations within distinct layers of a pristine, marine-derived, meromictic (stratified) lake (Ace Lake) in Antarctica. Nine million open reading frames were analyzed, representing microbial samples taken from six depths of the lake size fractionated on sequential 3.0, 0.8 and 0.1 mu m filters, and including metaproteome data from matching 0.1 mu m filters. We determine how the interactions of members of this highly structured and moderately complex community define the biogeochemical fluxes throughout the entire lake. Our view is that the health of this delicate ecosystem is dictated by the effects of the polar light cycle on the dominant role of green sulfur bacteria in primary production and nutrient cycling, and the influence of viruses/phage and phage resistance on the cooperation between members of the microbial community right throughout the lake. To test our assertions, and develop a framework applicable to other microbially driven ecosystems, we developed a mathematical model that describes how cooperation within a microbial system is impacted by periodic fluctuations in environmental parameters on key populations of microorganisms. Our study reveals a mutualistic structure within the microbial community throughout the lake that has arisen as the result of mechanistic interactions between the physico-chemical parameters and the selection of individual members of the community. By exhaustively describing and modelling interactions in Ace Lake, we have developed an approach that may be applicable to learning how environmental perturbations affect the microbial dynamics in more complex aquatic systems. The ISME Journal (2011) 5, 879-895; doi:10.1038/ismej.2010.185; published online 2 December 2010