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A New Method for Extracting Skin Microbes Allows Metagenomic Analysis of Whole-Deep Skin

Overview of attention for article published in PLOS ONE, September 2013
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Title
A New Method for Extracting Skin Microbes Allows Metagenomic Analysis of Whole-Deep Skin
Published in
PLOS ONE, September 2013
DOI 10.1371/journal.pone.0074914
Pubmed ID
Authors

Marc Garcia-Garcerà, Koldo Garcia-Etxebarria, Mireia Coscollà, Amparo Latorre, Francesc Calafell

Abstract

In the last decade, an extensive effort has been made to characterize the human microbiota, due to its clinical and economic interests. However, a metagenomic approach to the skin microbiota is hampered by the high proportion of host DNA that is recovered. In contrast with the burgeoning field of gut metagenomics, skin metagenomics has been hindered by the absence of an efficient method to avoid sequencing the host DNA. We present here a method for recovering microbial DNA from skin samples, based on a combination of molecular techniques. We have applied this method to mouse skin, and have validated it by standard, quantitative PCR and amplicon sequencing of 16S rRNA. The taxonomic diversity recovered was not altered by this new method, as proved by comparing the phylogenetic structure revealed by 16S rRNA sequencing in untreated vs. treated samples. As proof of concept, we also present the first two mouse skin metagenomes, which allowed discovering new taxa (not only prokaryotes but also viruses and eukaryots) not reachable by 16S rRNA sequencing, as well as to characterize the skin microbiome functional landscape. Our method paves the way for the development of skin metagenomics, which will allow a much deeper knowledge of the skin microbiome and its relationship with the host, both in a healthy state and in relation to disease.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 166 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Brazil 2 1%
United States 2 1%
Spain 2 1%
United Kingdom 2 1%
Sweden 1 <1%
Singapore 1 <1%
Portugal 1 <1%
Mexico 1 <1%
France 1 <1%
Other 2 1%
Unknown 151 91%

Demographic breakdown

Readers by professional status Count As %
Researcher 36 22%
Student > Ph. D. Student 35 21%
Student > Bachelor 22 13%
Student > Master 19 11%
Other 11 7%
Other 26 16%
Unknown 17 10%
Readers by discipline Count As %
Agricultural and Biological Sciences 72 43%
Biochemistry, Genetics and Molecular Biology 23 14%
Immunology and Microbiology 15 9%
Medicine and Dentistry 14 8%
Environmental Science 5 3%
Other 16 10%
Unknown 21 13%