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Characterization of the Fecal Microbiota Using High-Throughput Sequencing Reveals a Stable Microbial Community during Storage

Overview of attention for article published in PLOS ONE, October 2012
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Title
Characterization of the Fecal Microbiota Using High-Throughput Sequencing Reveals a Stable Microbial Community during Storage
Published in
PLOS ONE, October 2012
DOI 10.1371/journal.pone.0046953
Pubmed ID
Authors

Ian M. Carroll, Tamar Ringel-Kulka, Jennica P. Siddle, Todd R. Klaenhammer, Yehuda Ringel

Abstract

The handling and treatment of biological samples is critical when characterizing the composition of the intestinal microbiota between different ecological niches or diseases. Specifically, exposure of fecal samples to room temperature or long term storage in deep freezing conditions may alter the composition of the microbiota. Thus, we stored fecal samples at room temperature and monitored the stability of the microbiota over twenty four hours. We also investigated the stability of the microbiota in fecal samples during a six month storage period at -80°C. As the stability of the fecal microbiota may be affected by intestinal disease, we analyzed two healthy controls and two patients with irritable bowel syndrome (IBS). We used high-throughput pyrosequencing of the 16S rRNA gene to characterize the microbiota in fecal samples stored at room temperature or -80°C at six and seven time points, respectively. The composition of microbial communities in IBS patients and healthy controls were determined and compared using the Quantitative Insights Into Microbial Ecology (QIIME) pipeline. The composition of the microbiota in fecal samples stored for different lengths of time at room temperature or -80°C clustered strongly based on the host each sample originated from. Our data demonstrates that fecal samples exposed to room or deep freezing temperatures for up to twenty four hours and six months, respectively, exhibit a microbial composition and diversity that shares more identity with its host of origin than any other sample.

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The data shown below were compiled from readership statistics for 301 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 <1%
United Kingdom 2 <1%
Malaysia 1 <1%
Netherlands 1 <1%
Italy 1 <1%
Belgium 1 <1%
Canada 1 <1%
Unknown 292 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 73 24%
Student > Ph. D. Student 68 23%
Student > Master 36 12%
Student > Bachelor 25 8%
Other 14 5%
Other 44 15%
Unknown 41 14%
Readers by discipline Count As %
Agricultural and Biological Sciences 116 39%
Biochemistry, Genetics and Molecular Biology 37 12%
Medicine and Dentistry 37 12%
Immunology and Microbiology 21 7%
Environmental Science 6 2%
Other 36 12%
Unknown 48 16%