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Bacto Laboratories seedling inoculation
Schematic representation of the metabolites most strongly affected by AXSa06 <t>inoculation</t> under control (0 mΜ) and salinity (250 mM) conditions in melon leaves. Metabolites are grouped according to their involvement in amino acid the TCA cycle metabolism, as well as carbohydrate metabolism. (A) Amino acid and TCA‐related metabolites that are differentially accumulated mainly upon AXSa06 inoculation under control conditions. Metabolites shown in red indicate significant increases compared to their respective non‐inoculated control plants, while those in blue indicate significant decreases. (B) Carbohydrate‐related metabolites that are differentially accumulated mainly upon AXSa06 inoculation under salinity stress conditions. Metabolites shown in red indicate significant increases compared to their respective AXSa06‐inoculated control plants, while those in blue indicate significant decreases. Data are presented as mean ± SD ( n = 4). Asterisks indicate significant differences between treatments, as determined by t ‐test (* p < 0.05; ** p < 0.005; *** p < 0.001; **** p < 0.0001; ns, nonsignificant).
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Image Search Results


Lotus and Hordeum wild-type and CSSP mutants were cultivated under microbe-free conditions ( Lotus : N = 6, 12 plants per replicate; Hordeum : N = 6, one plant per replicate) and root exudates were collected for non-targeted LC-MS/MS analysis. (A) Principal component analysis (PCA) of all detected metabolites (background and low-frequency features removed), separated by host species, with colours indicating genotypes. (B) Volcano plots showing differential exudation of metabolites for each mutant relative to wild-type, with x-axis representing log 2 fold change and y-axis showing −log 10 p-value adjusted for false discovery rate (FDR) with Benjamini Hochberg. Dots are coloured by depletion (blue), enrichment (red), or not significant (gray). The number in each panel indicates the total number of significantly differentially exuded metabolites (DEMs) for the genotype. Features with estimated log 2 fold-change above 30 were omitted for visual clarity. (C) Bubble plot summarising the total number of DEMs per genotype (x-axis) and their distribution across chemical classes (ClassyFire annotation). Bubble size reflects the number of DEMs per class, and bubble colour indicates the proportion of mostly depleted (blue), mixed (white), or mostly enriched (red) metabolites relative to wild-type. Classes where at least two metabolites are differentially exuded in at least one mutant compared to wild-type are shown. (D) Boxplots for selected DEMs with high-confidence structure annotations, showing intensity across genotypes; asterisks indicate significant differences relative to wild-type (Tobit regression with likelihood ratio tests, P < 0.05 after adjusting for multiple testing with Benjamini Hochberg).

Journal: bioRxiv

Article Title: The common symbiosis pathway controls plant root microbiomes in a host-specific manner

doi: 10.64898/2026.05.08.723321

Figure Lengend Snippet: Lotus and Hordeum wild-type and CSSP mutants were cultivated under microbe-free conditions ( Lotus : N = 6, 12 plants per replicate; Hordeum : N = 6, one plant per replicate) and root exudates were collected for non-targeted LC-MS/MS analysis. (A) Principal component analysis (PCA) of all detected metabolites (background and low-frequency features removed), separated by host species, with colours indicating genotypes. (B) Volcano plots showing differential exudation of metabolites for each mutant relative to wild-type, with x-axis representing log 2 fold change and y-axis showing −log 10 p-value adjusted for false discovery rate (FDR) with Benjamini Hochberg. Dots are coloured by depletion (blue), enrichment (red), or not significant (gray). The number in each panel indicates the total number of significantly differentially exuded metabolites (DEMs) for the genotype. Features with estimated log 2 fold-change above 30 were omitted for visual clarity. (C) Bubble plot summarising the total number of DEMs per genotype (x-axis) and their distribution across chemical classes (ClassyFire annotation). Bubble size reflects the number of DEMs per class, and bubble colour indicates the proportion of mostly depleted (blue), mixed (white), or mostly enriched (red) metabolites relative to wild-type. Classes where at least two metabolites are differentially exuded in at least one mutant compared to wild-type are shown. (D) Boxplots for selected DEMs with high-confidence structure annotations, showing intensity across genotypes; asterisks indicate significant differences relative to wild-type (Tobit regression with likelihood ratio tests, P < 0.05 after adjusting for multiple testing with Benjamini Hochberg).

Article Snippet: For Lotus , sterile-germinated wild-type and CSSP mutant seedlings were transferred to sterile square Petri dishes half-filled with solid quarter-strength B&D medium without nitrogen (1.4% Agar Noble, Difco) ( ).

Techniques: Liquid Chromatography with Mass Spectroscopy, Mutagenesis

Schematic representation of the metabolites most strongly affected by AXSa06 inoculation under control (0 mΜ) and salinity (250 mM) conditions in melon leaves. Metabolites are grouped according to their involvement in amino acid the TCA cycle metabolism, as well as carbohydrate metabolism. (A) Amino acid and TCA‐related metabolites that are differentially accumulated mainly upon AXSa06 inoculation under control conditions. Metabolites shown in red indicate significant increases compared to their respective non‐inoculated control plants, while those in blue indicate significant decreases. (B) Carbohydrate‐related metabolites that are differentially accumulated mainly upon AXSa06 inoculation under salinity stress conditions. Metabolites shown in red indicate significant increases compared to their respective AXSa06‐inoculated control plants, while those in blue indicate significant decreases. Data are presented as mean ± SD ( n = 4). Asterisks indicate significant differences between treatments, as determined by t ‐test (* p < 0.05; ** p < 0.005; *** p < 0.001; **** p < 0.0001; ns, nonsignificant).

Journal: Physiologia Plantarum

Article Title: Priming Salt Resilience in Melon ( Cucumis melo ) via Pseudomonas oryzihabitans ‐Mediated Metabolic Reprogramming

doi: 10.1111/ppl.70866

Figure Lengend Snippet: Schematic representation of the metabolites most strongly affected by AXSa06 inoculation under control (0 mΜ) and salinity (250 mM) conditions in melon leaves. Metabolites are grouped according to their involvement in amino acid the TCA cycle metabolism, as well as carbohydrate metabolism. (A) Amino acid and TCA‐related metabolites that are differentially accumulated mainly upon AXSa06 inoculation under control conditions. Metabolites shown in red indicate significant increases compared to their respective non‐inoculated control plants, while those in blue indicate significant decreases. (B) Carbohydrate‐related metabolites that are differentially accumulated mainly upon AXSa06 inoculation under salinity stress conditions. Metabolites shown in red indicate significant increases compared to their respective AXSa06‐inoculated control plants, while those in blue indicate significant decreases. Data are presented as mean ± SD ( n = 4). Asterisks indicate significant differences between treatments, as determined by t ‐test (* p < 0.05; ** p < 0.005; *** p < 0.001; **** p < 0.0001; ns, nonsignificant).

Article Snippet: For seedling inoculation, fresh overnight bacterial cultures were prepared in Nutrient Glycerol (NG) broth (containing per liter: 3.3 g Bacto Peptone, 2.7 g nutrient broth.

Techniques: Control