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Fig. 1 in Electrophysiological responses of Philaenus spumarius and Neophilaenus campestris females to plant volatiles

Fig. 1. Projection to Latent Structures Discriminant Analysis (PLS-DA) of volatile compounds identified in different plant species. The score plot visualizes the structure of the samples according to the first two PLS components, with explained variance in brackets.

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Fig. 2 in Electrophysiological responses of Philaenus spumarius and Neophilaenus campestris females to plant volatiles

Fig. 2. (a) Representative GC-EAD traces of female P. spumarius, to VOCs of C. creticus, n = 15. Electrophysiologically-active compounds are numbered: 1) β-pinene, 2) limonene, 3) cis-sabinene hydrate, 4) isoborneol, 5) δ-elemene, 6) β-selinene, top, GC trace (FID); bottom, antennal signal (EAD). (b) Total ion chromatogram of a C. creticus sample. The most abundant peaks have been annotated.

Fig. 1 in Volatile constituents of Eupatorieae (Asteraceae). Compositional multivariate analysis of volatile oils from Southern Brazilian species in the subtribe Disynaphiinae

Fig. 1. Samplings for the study series showing subtribes of Eupatorieae with relative sizes (in number of species) both inside and outside the Rio Grande do Sul State territory. Fleishmanninae, Hebeclininae, Hofmeisterinae, Liatrinae, Neomirandeinae, Oaxacaninae, and Trichocoroniinae have no representatives in the area. For other subtribes, the number of species in the area and its proportion to the total number in the subtribe is represented in light green. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 5 in Volatile constituents of Eupatorieae (Asteraceae). Compositional multivariate analysis of volatile oils from Southern Brazilian species in the subtribe Disynaphiinae

Fig. 5. Compositional PCA of the chemical composition of VO of species from the subtribe Disynaphiinae (according to Rivera et al., 2016) sampled in Rio Grande do Sul, Southern Brazil. S. itatiayensis was transferred to an uncertain place, Grazielia was transferred to Neocabreria and Campovassouria was merged into Disynaphia. Samples were colored according to the newly proposed genera. Ten variables contributing the most to variability are depicted. Upper Left: PC1 and PC2; Upper Right: PC2 and PC3. The exclusion of S. itatiayensis from Symphyopappus is well-supported by the chemical data. Samples from R. tremula (green spheres in top-left (bottom panel), have a very similar chemistry to S. itatiayensis (yellow cube). Two samples of R. crenulata from the same area previously published by our group were included in the analysis (de Souza et al., 2007). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)

Fig. 4 in Volatile constituents of Eupatorieae (Asteraceae). Compositional multivariate analysis of volatile oils from Southern Brazilian species in the subtribe Disynaphiinae

Fig. 4. Compositional robust PCA of the chemical composition of VO of species from the subtribe Disynaphiinae (according to Rivera et al., 2016) sampled in Rio Grande do Sul, Southern Brazil. S. itatiayensis was transferred to an uncertain place while Grazielia was transferred to Neocabreria. Samples are identified by species and colored according to the newly proposed genera. PC1 and PC2. Two samples of R. crenulata from the same area previously published by our group were included in the analysis (de Souza et al., 2007).

Fig. 3 in Volatile constituents of Eupatorieae (Asteraceae). Compositional multivariate analysis of volatile oils from Southern Brazilian species in the subtribe Disynaphiinae

Fig. 3. Compositional PCA of the chemical composition of VO of species from the subtribe Disynaphiinae (King and Robinson, 1987) sampled in Rio Grande do Sul, Southern Brazil. Samples are colored according to genera. Ten variables contributing the most to variability are depicted. Top: PC2 and PC3; Bottom: PC2, PC3, and PC4 with Mahalanobis distances (Aconthostyles buniifolius was excluded for clarity). Two samples of R. crenulata from the same area previously published by our group were included in the analysis (de Souza et al., 2007).

Fig. 2 in Volatile constituents of Eupatorieae (Asteraceae). Compositional multivariate analysis of volatile oils from Southern Brazilian species in the subtribe Disynaphiinae

Fig. 2. The number of genera and species recognized in the subtribe Disynaphiinae is given in white, while the number of genera and species reported in the area as well as the number of sampled species is given in black. The number of species in the genus, species in the sampled area, and sampled species are given in gray alongside each genus.

Fig. 6 in Volatile constituents of Eupatorieae (Asteraceae). Compositional multivariate analysis of volatile oils from Southern Brazilian species in the subtribe Disynaphiinae

Fig. 6. Compositional robust PCA of the chemical composition of VO of species from the subtribe Disynaphiinae (according to Rivera et al., 2016) sampled in Rio Grande do Sul, Southern Brazil. Samples are identified at the species level and colored according to the newly proposed genera. Neocabreria serrulata (Critoniinae) and Urolepis hecatantha (Gyptidinae) are included after transference from their respective subtribes. Top panel: Grazielia was merged into Neocabreria. Bottom panel: Neocabreria and Grazielia were merged into Symphyopappus (excluding S. itatiayensis). Two samples of R. crenulata from the same area previously published by our group were included in the analysis (de Souza et al., 2007).

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Fig. 2 in Volatile phenolics: A comprehensive review of the anti-infective properties of an important class of essential oil constituents

Fig. 2. World map showing the publications of the different countries involved in scholarly publication of the anti-infective properties of volatile phenolics (1985–2019) as retrieved from the Scopus database.

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Fig. 1 in Volatile phenolics: A comprehensive review of the anti-infective properties of an important class of essential oil constituents

Fig. 1. The number of publications retrieved from Scopus database in 35 years dealing with anti-infective properties of VP's (n = 2310 publications).

Fig. 8 in Relative contribution of LOX10, green leaf volatiles and JA to woundinduced local and systemic oxylipin and hormone signature in Zea mays (maize)

Fig. 8. Volatiles emitted in wounded leaves of WT, lox10 and opr7opr8. (A) GLVs; (B) 13-LOX-derived C5 volatiles; (C) Volatile terpenes and indole. Volatiles were collected for 1 h after wounding. Values are mean ± standard error (n = 6). Different letters show significant differences (one-way ANOVA, S–N–K, P <0.05).

Fig. 5. 13 in Relative contribution of LOX10, green leaf volatiles and JA to woundinduced local and systemic oxylipin and hormone signature in Zea mays (maize)

Fig. 5. 13-LOX-derived oxylipin accumulation in leaves of WT (blue squares), lox10 (red circles) and opr7opr8 (green triangles) after wounding treatment. Values are mean ± standard error (n ≥ 4). Statistical differences are presented in Supplemental Fig. S2.

Fig. 6 in Relative contribution of LOX10, green leaf volatiles and JA to woundinduced local and systemic oxylipin and hormone signature in Zea mays (maize)

Fig. 6. α-DOX-derived 2-HOD and ROS-generated 10-HOD accumulation in leaves of WT (blue squares), lox10 (red circles) and opr7opr8 (green triangles) after wounding treatment. Values are mean ± standard error (n ≥ 4). Statistical differences are presented in Supplemental Fig. S2.

Fig. 2 in Relative contribution of LOX10, green leaf volatiles and JA to woundinduced local and systemic oxylipin and hormone signature in Zea mays (maize)

Fig. 2. Basal levels of oxylipins in leaves of WT, lox10 and opr7opr8. (A) 9-LOX-derived products; (B), (C) and (D) 13-LOX-derived products; (E) α-DOX-derived 2- HOD and 10-HOD generated by reactive oxygen species (ROS). Values are mean ± standard error (n ≥ 4). Different letters show significant differences (one-way ANOVA, S–N–K, P <0.05).

Fig. 4 in Effect of Monochamus galloprovincialis feeding on Pinus pinaster and Pinus pinea, oleoresin and insect volatiles

Fig. 4. Relation of the number of wounded Pinus pinaster trees, after Monochamus galloprovincialis feeding, the average number of wounds per tree, and wound length and width. Bars: standard error.

Fig. 3 in Effect of Monochamus galloprovincialis feeding on Pinus pinaster and Pinus pinea, oleoresin and insect volatiles

Fig. 3. Changes in the profile of volatiles released by Pinus pinea trees being fed on by Monochamus galloprovincialis adults. Bars: standard error. Letters in the table in the right side of the graph represent ANOVA post-hoc Fisher's Least Significant Difference test Homogenous Groups, (1): All volatiles: F(8,90) = 7.88; p <0.0001***; (2) Without limonene: F(7,80) = 2.31; p = 0.034*.

Fig. 6. A. Pinus pinaster individuals. B in Effect of Monochamus galloprovincialis feeding on Pinus pinaster and Pinus pinea, oleoresin and insect volatiles

Fig. 6. A. Pinus pinaster individuals. B. SPME collection of P. pinaster volatiles in control experiments. C. SPME collection of P. pinaster volatiles during Monochamus galloprovincialis feeding. D. Detail of M. galloprovincialis inside the net. E. M. galloprovincialis feeding on P. pinaster. F. Injured tree trunk. G. Oleoresin being exuded from the tree trunk.

Fig. 5 in Effect of Monochamus galloprovincialis feeding on Pinus pinaster and Pinus pinea, oleoresin and insect volatiles

Fig. 5. Relation of the number of wounded Pinus pinea trees, after Monochamus galloprovincialis feeding, the average number of wounds per tree, and wound length and width. Bars: standard error.

Fig. 2 in Effect of Monochamus galloprovincialis feeding on Pinus pinaster and Pinus pinea, oleoresin and insect volatiles

Fig. 2. Changes in the profile of volatiles released by Pinus pinaster trees being fed on by Monochamus galloprovincialis adults, with trees grouped according to their essential oil chemotypes: β-pinene, α-pinene, and δ-3-carene EO dominance (chemotype 1, C1 in dark grey) and δ-3-carene only in trace amounts (chemotype 2, C2 in white). Bars: standard error. Letters in the table on the right side of the graph represent ANOVA post-hoc Fisher's Least Significant Difference test Homogenous Groups; Chemotype 1 (C1): F(16,170) = 1.58; p = 0.078*; Chemotype 2 (C2): F(16,442) = 4.04; p <0.0001***.