Water samples included days 1, 3, 7. Water samples in the Stem surface and whole stem segment samples included days 0, 1, 3 and 7. The PCA is based on the relative abundance of the top 20 OTUs and plotted using ClustVis. Colors represent days of vase period. The ellipses represent 95% confidence intervals. The values in parentheses are the percentages of the total variance explained by each component.</p
<p>Scatter plot of the PCA-score showing the similarity of the bacterial (A) and fungal (B) communit...
<p>Principal components analysis (PCA) for all environmental variables labeling different factors: r...
<p>Principal component analysis of the abundance pattern of bacterial genera across the three cluste...
The stem surface and whole stem segments were from days 0, 1, 3, and 7; water samples were from days...
Water samples included days 1, 3, 7. Stem surface samples and whole stem segment samples included da...
<p>Principal components (PCs) 1 and 2 explained 34.2% and 24.8% of the variance, respectively.</p
<p>Scaled PCA of the 23 most abundant taxa (representing ≥0.5% of the average relative abundance), f...
<p>(A) Principal component analysis (PCA) based on percent relative abundance of bacterial taxa at g...
<p>Principal component analysis (PCA) of rhizosphere (triangle) and bulk (square) communities of sed...
<p>PCA was used here to quantitatively assess variation in the organic composition of eddy- vs. bloo...
(A) PCA analysis on microbiome abundance data. Data was CLR transformed before the analysis. Success...
Principal component analysis of bacterial community composition and environmental factors on the Phy...
Principal component analysis (PCA) displaying correlations among the bacterial communities of the st...
The comparison of principal components in different flower bacterial communities.</p
<p>PCA displayed 92% and 92.3% of variance for microbial fingerprints and sequencing respectively. M...
<p>Scatter plot of the PCA-score showing the similarity of the bacterial (A) and fungal (B) communit...
<p>Principal components analysis (PCA) for all environmental variables labeling different factors: r...
<p>Principal component analysis of the abundance pattern of bacterial genera across the three cluste...
The stem surface and whole stem segments were from days 0, 1, 3, and 7; water samples were from days...
Water samples included days 1, 3, 7. Stem surface samples and whole stem segment samples included da...
<p>Principal components (PCs) 1 and 2 explained 34.2% and 24.8% of the variance, respectively.</p
<p>Scaled PCA of the 23 most abundant taxa (representing ≥0.5% of the average relative abundance), f...
<p>(A) Principal component analysis (PCA) based on percent relative abundance of bacterial taxa at g...
<p>Principal component analysis (PCA) of rhizosphere (triangle) and bulk (square) communities of sed...
<p>PCA was used here to quantitatively assess variation in the organic composition of eddy- vs. bloo...
(A) PCA analysis on microbiome abundance data. Data was CLR transformed before the analysis. Success...
Principal component analysis of bacterial community composition and environmental factors on the Phy...
Principal component analysis (PCA) displaying correlations among the bacterial communities of the st...
The comparison of principal components in different flower bacterial communities.</p
<p>PCA displayed 92% and 92.3% of variance for microbial fingerprints and sequencing respectively. M...
<p>Scatter plot of the PCA-score showing the similarity of the bacterial (A) and fungal (B) communit...
<p>Principal components analysis (PCA) for all environmental variables labeling different factors: r...
<p>Principal component analysis of the abundance pattern of bacterial genera across the three cluste...