Additional file 1 of Interactions between rootstocks and compost influence the active rhizosphere bacterial communities in citrus
Creators: name: Castellano-Hinojosa, Antonio
name: Albrecht, Ute
name: Strauss, Sarah L.
Publisher: name: figshare
Year: 2023
Subjects: subject: Microbiology
subject: FOS: Biological sciences

description: Additional file 1: Fig. S1. Schematic diagram of the field study illustrating the experimental design (A); an untreated control plot (left) and a compost-treated plot (right) – trees are arranged in two rows on raised beds separated by furrows for drainage (B); a grafted citrus tree composed of scion and rootstock that are united at the graft union (C). Fig. S2. A priori generic structural equation model (SEM) used in this study. The numbers in the arrows denote example references used to support our predictions (see References section). Fig. S3. Root nutrient content of citrus trees on four different rootstocks. Soils were untreated (control) or treated with compost. Different letters above the bars indicate significant differences between rootstocks and treatments (linear mixed-effect model and Tukey's HSD; n = 8; *, p ≤ 0.05; **, p ≤ 0.01; ***, p ≤ 0.001). Values are expressed as mean with standard error. Fig. S4. Total abundance of active bacterial communities in the rhizosphere of citrus trees on four different rootstocks. Soils were untreated (control) or treated with compost. Different letters above the bars indicate significant differences between rootstocks and treatments (linear mixed-effect model and Tukey's HSD, n = 8; *, p ≤ 0.05; **, p ≤ 0.01; ***, p ≤ 0.001). Values are expressed as mean with standard error. Fig. S5. Relative abundance of bacterial ASVs at the phylum taxonomic level in the rhizosphere of four different rootstocks. Soils were untreated (control) or treated with compost. Fig. S6. Differentially abundant ASVs at the genus taxonomic level between compost and control treatments for each rootstock. The fold change is shown on the X axis and genera are listed on the Y axis. Each colored dot represents an ASV that was identified by DESeq2 analysis as significantly differentially abundant (p ≤ 0.05). Fig. S7. Heatmaps of Spearman correlation coefficients between bacterial alpha (A) and beta (B) diversity and root nutrients for each rootstock. The shading from blue to red represents low-to-high positive correlation. *, p ≤ 0.05; **, p ≤ 0.01; ***, p ≤ 0.001. Fig. S8. Mean proportion of predicted KEGG categories (A) and pathways (B) in the rhizosphere of citrus trees on four different rootstocks. Soils were untreated (control) or treated with compost. For each row, different letters indicate significant differences between treatments and rootstocks (Tukey's HSD, p &lt; 0.05; n = 8). Table S1. Rootstocks used in this study and their parentage. Table S2. Significance and similarity using the non-parametric multivariate ANOSIM statistical method. Numbers in bold indicate significant effect at p &lt; 0.05. R values close to 1 indicate dissimilarity between treatments. Table S3. ASVs (at the genus level) present in at least 75% of the samples in the control and treated soils identified as the active taxonomic core rhizobiome and their relative abundances. For each row, different letters between treatments indicate significant according to the Welch’s t-test and Benjamini–Hochberg FDR multiple test correction (p &lt; 0.05). Table S4. KEGG pathways present in at least 75% of the samples in the control and treated soils identified as the active functional core rhizobiome and their relative abundances. For each row, different letters between treatments indicate significant according to the Welch’s t-test and Benjamini–Hochberg FDR multiple test correction (p &lt; 0.05)