Dynamic microbial populations along the Cuyahoga River.
Dynamic microbial populations along the Cuyahoga River.
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DOI：
10.1371/journal.pone.0186290
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发表时间：
2017
期刊：
影响因子：
3.7
通讯作者：
Serre D
中科院分区：
文献类型：
--
作者：
Cannon MV;Craine J;Hester J;Shalkhauser A;Chan ER;Logue K;Small S;Serre D
近年来，随着下一代测序技术的出现，对微生物群落的研究获得了牵引力，无论是否基于PCR扩增16S核糖体RNA区域。这些研究已被应用于人类健康和环境生态学等各种主题。然而，很少有研究调查细菌以外的分类群。我们在这里提出的数据表明，研究类群以外的细菌，包括藻类，硅藻，古菌和真菌的效用。在这里，我们展示了如何位置沿着凯霍加河以及短暂的降雨事件严重影响微生物组成。我们的数据揭示了各个OTU在样品之间的变化以及OTU丰度的模式如何准确地预测采样位置。样本的聚类显示，这些分类群都以独特的方式对水条件敏感，并表明，对于我们的数据集，藻类在样本组之间最具特色，超过了细菌。取样地点之间的多样性可使调查污染或水质的研究能够确定标记OTU或OTU丰度模式，作为评估环境条件或人类活动影响的指标。我们还直接比较来自引物扩增不同类群的数据，并表明除了细菌类群是良好的水质指标。
The study of the microbial communities has gained traction in recent years with the advent of next-generation sequencing with, or without, PCR-based amplification of the 16S ribosomal RNA region. Such studies have been applied to topics as diverse as human health and environmental ecology. Fewer studies have investigated taxa outside of bacteria, however. We present here data demonstrating the utility of studying taxa outside of bacteria including algae, diatoms, archaea and fungi. Here, we show how location along the Cuyahoga River as well as a transient rainfall event heavily influence the microbial composition. Our data reveal how individual OTUs vary between samples and how the patterns of OTU abundance can accurately predict sampling location. The clustering of samples reveals that these taxa are all sensitive to water conditions in unique ways and demonstrate that, for our dataset, algae was most distinctive between sample groups, surpassing bacteria. Diversity between sampling sites could allow studies investigating pollution or water quality to identify marker OTUs or patterns of OTU abundance as indicators to assess environmental conditions or the impact of human activity. We also directly compare data derived from primers amplifying distinct taxa and show that taxa besides bacteria are excellent indicators of water condition.
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影响因子：
7.7
作者：
Kermarrec, L.;Franc, A.;Bouchez, A.
通讯作者：
Bouchez, A.
影响因子：
5.2
作者：
Staley C;Gould TJ;Wang P;Phillips J;Cotner JB;Sadowsky MJ
通讯作者：
Sadowsky MJ
DOI：
10.1073/pnas.0807920105
发表时间：
2008-11-18
影响因子：
11.1
作者：
Fierer, Noah;Hamady, Micah;Knight, Rob
通讯作者：
Knight, Rob
影响因子：
1.4
作者：
Alonso, Cecilia;Gomez-Pereira, Paola;Amann, Rudolf
通讯作者：
Amann, Rudolf
影响因子：
4
作者：
Staley, C.;Unno, T.;Sadowsky, M. J.
通讯作者：
Sadowsky, M. J.