<p>Hierarchical-clustering heat-map of the relative abundance and the clustering dendrogram of different groups and the 20 most abundant bacterial genera, using Euclidean distance. Color intensity indicates abundance, ranging from black (absence), blue (low abundance) to red (high abundance). All of samples are combined to 84 groups based on age, gender, residence, and skin site. The abbreviations and the corresponding explanations are given in <a href="http://www.plosone.org/article/info:doi/10.1371/journal.pone.0141842#pone.0141842.g001" target="_blank">Fig 1</a>. For example, M.A.R.Gb means the group involved samples which are from a rural (R) male (M) adult’s (A) glabella (Gb). Classifications are to the genus (gen), family (fam), order...
<p>The relative abundance of 48 predominant genera demonstrated by the change in color. Each column ...
a. heatmap hierarchical clustering of most abundant phyla. In the heatmap, F = fecal, RL = rumen liq...
<p>The Bray-Curtis dissimilarity matrix and Ward’s hierarchical clustering algorithm were applied in...
<p>Bacterial family names are listed on the right side of the heatmap, and the sample names are list...
<p>Heatmaps were based on the hierarchical clustering solution (Bray-Curtis) distance metric and ave...
<p>(A) total microbiota, (B) active microbiota. Colors in the figure depict the percentage range of ...
<p>Distance algorithm: Bray-Curtis; clustering method: complete. The color intensity of scale demons...
<p>Only 11 bacterial genera for which mean relative abundance exceeded 1% of total reads are describ...
<p>The discriminating genera, as well as the samples (HC and FK) have been arranged along the two di...
<p>Letters (A–C) used to identify individual life stage replicates. Double hierarchical dendogram sh...
<p>Double hierarchical dendrogram shows the bacterial distribution. The bacterial phylogenetic tree ...
<p>Each column in the heatmap represents a specific sample and each row represents a genera. Colors ...
<p>Dark colors correspond to low frequencies, while yellow, tan and pink indicate high frequencies. ...
<p>The relative percentage of each bacterial classis depicted by varying color intensities according...
<p>Bacterial (A) and fungal (B) distributions of the top 50 abundant genera and families, respective...
<p>The relative abundance of 48 predominant genera demonstrated by the change in color. Each column ...
a. heatmap hierarchical clustering of most abundant phyla. In the heatmap, F = fecal, RL = rumen liq...
<p>The Bray-Curtis dissimilarity matrix and Ward’s hierarchical clustering algorithm were applied in...
<p>Bacterial family names are listed on the right side of the heatmap, and the sample names are list...
<p>Heatmaps were based on the hierarchical clustering solution (Bray-Curtis) distance metric and ave...
<p>(A) total microbiota, (B) active microbiota. Colors in the figure depict the percentage range of ...
<p>Distance algorithm: Bray-Curtis; clustering method: complete. The color intensity of scale demons...
<p>Only 11 bacterial genera for which mean relative abundance exceeded 1% of total reads are describ...
<p>The discriminating genera, as well as the samples (HC and FK) have been arranged along the two di...
<p>Letters (A–C) used to identify individual life stage replicates. Double hierarchical dendogram sh...
<p>Double hierarchical dendrogram shows the bacterial distribution. The bacterial phylogenetic tree ...
<p>Each column in the heatmap represents a specific sample and each row represents a genera. Colors ...
<p>Dark colors correspond to low frequencies, while yellow, tan and pink indicate high frequencies. ...
<p>The relative percentage of each bacterial classis depicted by varying color intensities according...
<p>Bacterial (A) and fungal (B) distributions of the top 50 abundant genera and families, respective...
<p>The relative abundance of 48 predominant genera demonstrated by the change in color. Each column ...
a. heatmap hierarchical clustering of most abundant phyla. In the heatmap, F = fecal, RL = rumen liq...
<p>The Bray-Curtis dissimilarity matrix and Ward’s hierarchical clustering algorithm were applied in...