The stem surface and whole stem segments were from days 0, 1, 3, and 7; water samples were from days 1, 3, 7. Control group was vase water only without holding any plants. The PCA is based on the relative abundance of the top 20 OTUs and plotted with ClustVis. Flowers types are presented as different colors, and sample type by different shapes. The ellipses represent 95% confidence intervals. The values in parentheses are the percentages of the total variance explained by each component.</p
<p>Principal component analysis (PCA) of the fatty acid composition of the phytoplankton, bacteria a...
<p>PCA displayed 92% and 92.3% of variance for microbial fingerprints and sequencing respectively. M...
<p>PCA based on biometrical parameters: plant height (PH), plant diameter (PD), fresh weight (FW), d...
Water samples included days 1, 3, 7. Water samples in the Stem surface and whole stem segment sample...
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...
The comparison of principal components in different flower bacterial communities.</p
<p>Principal component analysis (PCA) of rhizosphere (triangle) and bulk (square) communities of sed...
<p>Scatter plot of the PCA-score showing the similarity of the bacterial (A) and fungal (B) communit...
(A) PCA analysis on microbiome abundance data. Data was CLR transformed before the analysis. Success...
The comparison of principal components in microbial communities from different flower sources.</p
<p>PCA was used here to quantitatively assess variation in the organic composition of eddy- vs. bloo...
<p>(A) Principal component analysis (PCA) based on percent relative abundance of bacterial taxa at g...
The analysis employs concentrations of microbial targets with 24% or higher positive rates (i.e., HF...
<p>Principal component analysis (PCA) of the fatty acid composition of the phytoplankton, bacteria a...
<p>PCA displayed 92% and 92.3% of variance for microbial fingerprints and sequencing respectively. M...
<p>PCA based on biometrical parameters: plant height (PH), plant diameter (PD), fresh weight (FW), d...
Water samples included days 1, 3, 7. Water samples in the Stem surface and whole stem segment sample...
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...
The comparison of principal components in different flower bacterial communities.</p
<p>Principal component analysis (PCA) of rhizosphere (triangle) and bulk (square) communities of sed...
<p>Scatter plot of the PCA-score showing the similarity of the bacterial (A) and fungal (B) communit...
(A) PCA analysis on microbiome abundance data. Data was CLR transformed before the analysis. Success...
The comparison of principal components in microbial communities from different flower sources.</p
<p>PCA was used here to quantitatively assess variation in the organic composition of eddy- vs. bloo...
<p>(A) Principal component analysis (PCA) based on percent relative abundance of bacterial taxa at g...
The analysis employs concentrations of microbial targets with 24% or higher positive rates (i.e., HF...
<p>Principal component analysis (PCA) of the fatty acid composition of the phytoplankton, bacteria a...
<p>PCA displayed 92% and 92.3% of variance for microbial fingerprints and sequencing respectively. M...
<p>PCA based on biometrical parameters: plant height (PH), plant diameter (PD), fresh weight (FW), d...