<p>(a) The PCA diagram is shown and the percentages of data variability explanation are shown in the upper of X and Y axis and more than 85% of the variability in the data is accounted. (b) Loading plot of principal component 1 showing variables that explain variability across eukaryotic genus and prokaryotic family during the vegetative cycle of grapevine (T1–T10). The significant differences were observed in Metastats for eukaryotic genus or prokaryotic families and are represented with asterisk (*) and microbial community that are identified with ## are considered false discovery rate.</p
<p>Principal component analysis (PCA) of rhizosphere (triangle) and bulk (square) communities of sed...
The spatial representation of sample types from the 2014 sampling of soils, leaves and grape berries...
<p>A) PCA plot derived from the identified taxa and their abundance. The first (PC1) and second (PC2...
<p>PCA displayed 92% and 92.3% of variance for microbial fingerprints and sequencing respectively. M...
<p>Data is based on 16S rRNA gene sequences retrieved from clone libraries Karnico ‘heavy’ and Moden...
(A) PCA fails to clearly distinguish grapevine morphotypes. (B) A Mapper graph using PC1 as a lens r...
<p>The variation (%) explained by each axis is given in brackets. Ellipses represent the 95% confide...
<p>Temp: Temperature, DO: Dissolved oxygen, NO<sub>2</sub>: Nitrite, NO<sub>3</sub>: Nitrate, PO<sub...
<p>Digester 1 samples are represented by blue spheres; digester 2 samples are represented by green s...
(A) Distribution of samples in a Principal coordinates analysis plot (PCoA) according to a weighted ...
<p>Principal-component analysis based on bacterial community structure, assessed by 16S rRNA gene T-...
<p>Numbers denote the incubation time while those in the parentheses indicate the percent of variati...
Principal Component Analysis (PCoA) generated among groups at genus level using Weighted UniFrac met...
<p>RDP multiclassifier with 60% threshold was used to identify microbial taxa in each sample at genu...
<p>PCA was carried out on genus-level microbiome datasets, as described in the text. PC1, PC2, and P...
<p>Principal component analysis (PCA) of rhizosphere (triangle) and bulk (square) communities of sed...
The spatial representation of sample types from the 2014 sampling of soils, leaves and grape berries...
<p>A) PCA plot derived from the identified taxa and their abundance. The first (PC1) and second (PC2...
<p>PCA displayed 92% and 92.3% of variance for microbial fingerprints and sequencing respectively. M...
<p>Data is based on 16S rRNA gene sequences retrieved from clone libraries Karnico ‘heavy’ and Moden...
(A) PCA fails to clearly distinguish grapevine morphotypes. (B) A Mapper graph using PC1 as a lens r...
<p>The variation (%) explained by each axis is given in brackets. Ellipses represent the 95% confide...
<p>Temp: Temperature, DO: Dissolved oxygen, NO<sub>2</sub>: Nitrite, NO<sub>3</sub>: Nitrate, PO<sub...
<p>Digester 1 samples are represented by blue spheres; digester 2 samples are represented by green s...
(A) Distribution of samples in a Principal coordinates analysis plot (PCoA) according to a weighted ...
<p>Principal-component analysis based on bacterial community structure, assessed by 16S rRNA gene T-...
<p>Numbers denote the incubation time while those in the parentheses indicate the percent of variati...
Principal Component Analysis (PCoA) generated among groups at genus level using Weighted UniFrac met...
<p>RDP multiclassifier with 60% threshold was used to identify microbial taxa in each sample at genu...
<p>PCA was carried out on genus-level microbiome datasets, as described in the text. PC1, PC2, and P...
<p>Principal component analysis (PCA) of rhizosphere (triangle) and bulk (square) communities of sed...
The spatial representation of sample types from the 2014 sampling of soils, leaves and grape berries...
<p>A) PCA plot derived from the identified taxa and their abundance. The first (PC1) and second (PC2...