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The Microbial Community in the Feces of the White Rhinoceros (Ceratotherium simum) as Determined by Barcoded Pyrosequencing Analysis

Overview of attention for article published in PLOS ONE, July 2013
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Title
The Microbial Community in the Feces of the White Rhinoceros (Ceratotherium simum) as Determined by Barcoded Pyrosequencing Analysis
Published in
PLOS ONE, July 2013
DOI 10.1371/journal.pone.0070103
Pubmed ID
Authors

Gaorui Bian, Li Ma, Yong Su, Weiyun Zhu

Abstract

As a non-ruminant herbivore, the white rhinoceros has the ability to utilize fibrous plant matter through microbial fermentation in the hindgut. So far, there has been no report using molecular techniques to study the gut microbiota of the white rhinoceros. We used barcoded pyrosequencing to characterize 105,651 sequences of 16S rRNA genes obtained from fecal samples from five white rhinoceroses. Results showed that Firmicutes and Bacteroidetes were the predominant phyla in the samples, which were comprised largely of unclassified bacteria. The microbiota of one animal treated with drug therapy differed from those in other healthy animals, and was dominated by Aerococcus -related bacteria. The core microbiota in the healthy rhinoceros were dominated by phyla Firmicutes and Bacteroidetes, represented by the Ruminococcaceae, Lachnospiraceae, Rikenellaceae and Prevotellaceae families. The present work provides a phylogenetic framework for understanding the complex microbial community of the rhinoceros; however, further studies are required to link the distinctive microbiota with their digestive role in the hindgut of the white rhinoceros.

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The data shown below were compiled from readership statistics for 75 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United Kingdom 2 3%
United States 2 3%
France 1 1%
Austria 1 1%
Unknown 69 92%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 24%
Student > Master 16 21%
Researcher 14 19%
Student > Bachelor 5 7%
Student > Doctoral Student 2 3%
Other 6 8%
Unknown 14 19%
Readers by discipline Count As %
Agricultural and Biological Sciences 31 41%
Veterinary Science and Veterinary Medicine 6 8%
Biochemistry, Genetics and Molecular Biology 6 8%
Environmental Science 5 7%
Computer Science 5 7%
Other 6 8%
Unknown 16 21%