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Articles

Assessing the impact of plant genetic diversity in shaping the microbial community structure of Vitis vinifera phyllosphere in the Mediterranean

ORCID Icon, , , , &
Pages 35-46 | Received 08 Apr 2018, Accepted 19 Nov 2018, Published online: 06 Dec 2018

Figures & data

Figure 1. Rarefaction curves for (A) bacterial and (B) fungal datasets based on sequencing reads, describing the observed number of OTUs as a function of the sequencing reads per samples. Each color represents the sample (n = 80). Saturation of the curves represents the good coverage and quality of the data-sets.

Figure 1. Rarefaction curves for (A) bacterial and (B) fungal datasets based on sequencing reads, describing the observed number of OTUs as a function of the sequencing reads per samples. Each color represents the sample (n = 80). Saturation of the curves represents the good coverage and quality of the data-sets.

Figure 2. Prevalence plot (taxa prevalence versus total count) for (A) bacterial and (B) fungal taxa representing the phylum level diversity across samples. Each point corresponds to a different or unique taxon. The y-axis represents the fraction of samples, these taxa are present.

Figure 2. Prevalence plot (taxa prevalence versus total count) for (A) bacterial and (B) fungal taxa representing the phylum level diversity across samples. Each point corresponds to a different or unique taxon. The y-axis represents the fraction of samples, these taxa are present.

Figure 3. Relative abundances of (A) bacterial and (B) fungal genera present on each cultivar, grouped within their genetic pools (9 cultivars per genetic pool, top 20 taxa, characterized to the genus level and datasets were rarified to 5000 sequence reads per sample). Chao1 estimates of α-diversity for (C) bacterial and (D) fungal data-sets for three genetic pools. PCoA plots using Bray-Curtis distance between samples for (E) bacterial and (F) fungal data-sets among three genetic pools, explaining >60% variations with first two axes (taxa with variance < 1e-05 were trimmed).

Figure 3. Relative abundances of (A) bacterial and (B) fungal genera present on each cultivar, grouped within their genetic pools (9 cultivars per genetic pool, top 20 taxa, characterized to the genus level and datasets were rarified to 5000 sequence reads per sample). Chao1 estimates of α-diversity for (C) bacterial and (D) fungal data-sets for three genetic pools. PCoA plots using Bray-Curtis distance between samples for (E) bacterial and (F) fungal data-sets among three genetic pools, explaining >60% variations with first two axes (taxa with variance < 1e-05 were trimmed).

Figure 4. Relative abundances of (A) bacterial and (B) fungal genera present on leaf and berry samples, also grouped within their genetic pools (top 20 taxa, characterized to the genus level, datasets were rarified to 5000 sequence reads per sample). Chao1 estimates of α-diversity for (C) bacterial and (D) fungal data-sets for both the organ types. PCoA plots using Bray-Curtis distance between samples for (E) bacterial and (F) fungal data-sets as per leaf and berry samples based on Bray-Curtis distance matrices, explaining >60% variations with first two axes (taxa with variance < 1e-05 were trimmed).

Figure 4. Relative abundances of (A) bacterial and (B) fungal genera present on leaf and berry samples, also grouped within their genetic pools (top 20 taxa, characterized to the genus level, datasets were rarified to 5000 sequence reads per sample). Chao1 estimates of α-diversity for (C) bacterial and (D) fungal data-sets for both the organ types. PCoA plots using Bray-Curtis distance between samples for (E) bacterial and (F) fungal data-sets as per leaf and berry samples based on Bray-Curtis distance matrices, explaining >60% variations with first two axes (taxa with variance < 1e-05 were trimmed).

Table 1. Summary of association tests for bacterial genus Vagococcus against three genetic pools.

Table 2. Summary of association tests for fungal genus Pichia against three genetic pools.

Table 3. Bacterial OTUs with differential abundance between leaf and berry samples with their respective genera, adjusted p-values, and FDRs.

Table 4. Fungal OTUs with differential abundance between leaf and berry samples with their respective genera, adjusted p-values, and FDRs.