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. 2023 Sep 29;23:273. doi: 10.1186/s12866-023-03012-7

Table 2.

Samples were partitioned by sampling strategy (swabs, different tape depths) and the bacterial composition was analysed against inter-individual variation, sampling location, skin status and skin group individually using PERMANOVA. Similarly, differences in ASV richness associated with explanatory variables was analysed for each sampling strategy separately using mixed linear modelling

Composition
Skin depth Parameter Inter-individual variation Skin group
Swabs F-model 2.187 1.111
R2 0.595 0.051
P-value 0.001 0.001
Tape-1 F-model 1.726 1.12
R2 0.552 0.053
P-value 0.001 0.28
Tape-5 F-model 1.284 1.095
R2 0.541 0.061
P-value 0.001 0.018
Tape-15 F-model 1.197 1.056
R2 0.531 0.06
P-value 0.001 0.345
Tape-35 F-model 1.147 1.025
R2 0.558 0.065
P-value 0.001 0.416
Richness
Skin depth Parameter Inter-individual variation Skin group
Swabs AIC 10320270 1315.8
LRT 1070.3 22.93
P-value 0.000 0.000
Tape-1 AIC 2327519 1106.3
LRT 870.5 2.32
P-value 0.000 0.678
Tape-5 AIC 1231403 912.1
LRT 703.78 0.25
P-value 0.2733 0.8836
Tape-15 AIC 571365 846
LRT 640.51 2.77
P-value 0.023 0.597
Tape-35 AIC 472461 757.3
LRT 572.04 3.97
P-value 0.044 0.41