
Dysbiosis of skin microbiota drives the progression of atopic dermatitis (AD). The contribution of bacteriophages to bacterial community compositions in normal and inflamed skin is unknown. Using shotgun metagenomics from skin swabs of healthy individuals and patients with AD, we found 13,586 potential viral contiguous DNA sequences, which could be combined into 164 putative viral genomes including 133 putative phages. The Shannon diversity index for the viral metagenome-assembled genomes (vMAGs) did not correlate with AD. In total, we identified 28 vMAGs that differed significantly between normal and AD skin. Quantitative polymerase chain reaction validation of three complete vMAGs revealed their independence from host bacterium abundance. Our data indicate that normal and inflamed skin harbor distinct phageomes and suggest a causative relationship between changing viral and bacterial communities as a driver of skin pathology.
106022 Mikrobiologie, Viral/genetics, Bacteria, Virome, Microbiota, Skin/microbiology, DNA, Bacteria/genetics, 106026 Ökosystemforschung, DNA, Viral, 106022 Microbiology, Humans, Metagenome, Biomedicine and Life Sciences, 106026 Ecosystem research, Skin
106022 Mikrobiologie, Viral/genetics, Bacteria, Virome, Microbiota, Skin/microbiology, DNA, Bacteria/genetics, 106026 Ökosystemforschung, DNA, Viral, 106022 Microbiology, Humans, Metagenome, Biomedicine and Life Sciences, 106026 Ecosystem research, Skin
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 16 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Average | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Top 10% |
