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Marine bacterial archaeal and protistan association networks reveal ecological linkages

机译:海洋细菌古细菌和前列腺素缔合网络揭示了生态联系

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摘要

Microbes have central roles in ocean food webs and global biogeochemical processes, yet specific ecological relationships among these taxa are largely unknown. This is in part due to the dilute, microscopic nature of the planktonic microbial community, which prevents direct observation of their interactions. Here, we use a holistic (that is, microbial system-wide) approach to investigate time-dependent variations among taxa from all three domains of life in a marine microbial community. We investigated the community composition of bacteria, archaea and protists through cultivation-independent methods, along with total bacterial and viral abundance, and physico-chemical observations. Samples and observations were collected monthly over 3 years at a well-described ocean time-series site of southern California. To find associations among these organisms, we calculated time-dependent rank correlations (that is, local similarity correlations) among relative abundances of bacteria, archaea, protists, total abundance of bacteria and viruses and physico-chemical parameters. We used a network generated from these statistical correlations to visualize and identify time-dependent associations among ecologically important taxa, for example, the SAR11 cluster, stramenopiles, alveolates, cyanobacteria and ammonia-oxidizing archaea. Negative correlations, perhaps suggesting competition or predation, were also common. The analysis revealed a progression of microbial communities through time, and also a group of unknown eukaryotes that were highly correlated with dinoflagellates, indicating possible symbioses or parasitism. Possible ‘keystone' species were evident. The network has statistical features similar to previously described ecological networks, and in network parlance has non-random, small world properties (that is, highly interconnected nodes). This approach provides new insights into the natural history of microbes.
机译:微生物在海洋食物网和全球生物地球化学过程中起着核心作用,但是这些分类单元之间的特定生态关系却鲜为人知。这部分是由于浮游微生物群落的稀薄微观性质,从而阻止了对其相互作用的直接观察。在这里,我们使用整体(即整个微生物系统)方法来研究海洋微生物群落中来自生命的所有三个领域的分类单元之间的时间依赖性变化。我们通过与栽培无关的方法,总细菌和病毒丰度以及理化观察研究了细菌,古细菌和原生生物的群落组成。过去3年中,每月在一个著名的加利福尼亚南部海洋时间序列地点收集样本和观测资料。为了找到这些生物之间的关联,我们计算了细菌,古细菌,原生生物的相对丰度,细菌和病毒的总丰度以及理化参数之间的时间依赖性等级相关性(即局部相似性相关性)。我们使用了从这些统计相关性生成的网络来可视化并确定具有生态重要性的生物分类群之间的时间依赖性关联,例如SAR11簇,Stramenopiles,肺泡,蓝细菌和氨氧化古细菌。负相关,可能暗示竞争或掠夺也很常见。分析显示微生物群落随着时间的推移而发展,并且还发现了一群与真鞭毛虫高度相关的未知真核生物,表明可能存在共生或寄生性。可能的“关键”物种很明显。该网络具有与先前描述的生态网络相似的统计特征,并且用网络的说法具有非随机的小世界属性(即高度互连的节点)。这种方法提供了对微生物自然历史的新见解。

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