| The microbial ecology of human skin is complex, but little is known about its species composition. We examined the diversity of the skin biota from the volar left and right forearms in six healthy subjects using broad-range 16S rDNA PCR-based sequencing of randomly selected clones. For the initial 1,221 clones analyzed, 182 SLOTUs (species-level operational taxonomic units) belonging to 8 phyla were identified, estimated as 74.0% (95% CI: 64.8%~77.9%) of the SLOTUs in this ecosystem; 48.0±12.2 SLOTU were found in each subject. Three phyla, Actinobacteria, Firmicutes, and Proteobacteria, accounted for 94.6% of the clones. Most (85.3%) of the bacterial sequences corresponded to known and cultivated species, but 98 (8.0%) clones, comprising 30 phylotypes, had <97% similarity to prior database sequences. Only 6 (6.6%) of the 91 genera and 4 (2.2%) of the 182 SLOTUs, respectively, were found in all six subjects. Analysis of 817 clones obtained 8 to 10 months later from four subjects, showed new phyla (2), genera (28), and SLOTU (65). Only four (3.4%) of the 119 genera (Propionibacteria, Corynebacteria, Staphylococcus, and Streptococcus) were observed in each subject tested twice, but these represented 54.4% of all clones. These results show that the bacterial biota in normal skin is highly diverse, with few well-conserved and well-represented genera, but otherwise low-level interpersonal consensus. |
Zhan Gao, MD |
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Table 1. Distribution of 2,038 16S rDNA clones from forearm skin of six healthy subjects: |
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Table 2. Subject samples with links to 2,038 DNA sequences from human forearm skin: |
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| The study was funded by the National Institutes of Health (NIH), by a Senior Scholar Award from the Ellison Medical Foundation, and by the Diane Belfer Program in Human Microbial Ecology in Health. The authors of the study are Zhan Gao, M.D., Chi-hong Tseng, Ph.D., Zhiheng Pei, M.D., Ph.D., and Martin J. Blaser, M.D. | ||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
Blaser Lab / Feature /

