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Characterization of Staphylococcus and Corynebacterium Clusters in the Human Axillary Region

Overview of attention for article published in PLOS ONE, August 2013
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Title
Characterization of Staphylococcus and Corynebacterium Clusters in the Human Axillary Region
Published in
PLOS ONE, August 2013
DOI 10.1371/journal.pone.0070538
Pubmed ID
Authors

Chris Callewaert, Frederiek-Maarten Kerckhof, Michael S. Granitsiotis, Mireille Van Gele, Tom Van de Wiele, Nico Boon

Abstract

The skin microbial community is regarded as essential for human health and well-being, but likewise plays an important role in the formation of body odor in, for instance, the axillae. Few molecular-based research was done on the axillary microbiome. This study typified the axillary microbiome of a group of 53 healthy subjects. A profound view was obtained of the interpersonal, intrapersonal and temporal diversity of the human axillary microbiota. Denaturing gradient gel electrophoresis (DGGE) and next generation sequencing on 16S rRNA gene region were combined and used as extent to each other. Two important clusters were characterized, where Staphylococcus and Corynebacterium species were the abundant species. Females predominantly clustered within the Staphylococcus cluster (87%, n = 17), whereas males clustered more in the Corynebacterium cluster (39%, n = 36). The axillary microbiota was unique to each individual. Left-right asymmetry occurred in about half of the human population. For the first time, an elaborate study was performed on the dynamics of the axillary microbiome. A relatively stable axillary microbiome was noticed, although a few subjects evolved towards another stable community. The deodorant usage had a proportional linear influence on the species diversity of the axillary microbiome.

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The data shown below were compiled from readership statistics for 178 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Chile 1 <1%
Unknown 175 98%

Demographic breakdown

Readers by professional status Count As %
Student > Bachelor 38 21%
Researcher 29 16%
Student > Master 21 12%
Student > Ph. D. Student 18 10%
Other 9 5%
Other 19 11%
Unknown 44 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 35 20%
Biochemistry, Genetics and Molecular Biology 27 15%
Medicine and Dentistry 13 7%
Pharmacology, Toxicology and Pharmaceutical Science 13 7%
Immunology and Microbiology 8 4%
Other 33 19%
Unknown 49 28%