2014
DOI: 10.1038/srep05821
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Effects of water stratification and mixing on microbial community structure in a subtropical deep reservoir

Abstract: Microorganisms play pivotal roles within aquatic ecosystems, affecting their structure, functioning and services. However, little is known about the effects of water stratification and mixing on the aquatic microbial community dynamics in subtropical reservoirs. In this study, we explored vertical and seasonal patterns of microbial diversity in the Dongzhen Reservoir (southeast China). Quantitative PCR, quantitative RT-PCR, and 454 pyrosequencing were used for an in-depth characterization of the bacterial comm… Show more

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Cited by 123 publications
(70 citation statements)
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“…As expected, the BCC of the Jinpen Reservoir resembled the composition of some reported freshwater ecosystems, with Proteobacteria, Actinobacteria, Cyanobacteria, and Bacteroidetes as the major bacterial groups [5,18,50]. However, the percentage of each bacterial group was distinct at the level of phylum after stratification.…”
Section: Discussionsupporting
confidence: 74%
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“…As expected, the BCC of the Jinpen Reservoir resembled the composition of some reported freshwater ecosystems, with Proteobacteria, Actinobacteria, Cyanobacteria, and Bacteroidetes as the major bacterial groups [5,18,50]. However, the percentage of each bacterial group was distinct at the level of phylum after stratification.…”
Section: Discussionsupporting
confidence: 74%
“…The sequences were then binned into operational taxonomic units (OTUs) based on a 97% sequence similarity using Mothur software package (Version 1.7.0). The OTUs which contained one read were removed to avoid possible sequencing error at this step [5,17]. Taxonomic classification of the reads was performed in the Ribosomal Database Project (RDP) database [37,38].…”
Section: Roche 454 Pyrosequencing and Sequence Analysismentioning
confidence: 99%
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“…The amplification efficiency (E) was estimated from the slope of the standard curve using the following formula: E = (10 −1/slope ) -1. The efficiency of PCR between 95% and 105% was used for further analysis (Yu et al 2014). …”
Section: Q-pcr Analysis Of Trgsmentioning
confidence: 99%