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Fig. 2 in Profiling of volatile and non-volatile metabolites in Polianthes tuberosa L. flowers reveals intraspecific variation among cultivars

Fig. 2. Heat map representing the diversity of nonvolatile compounds detected in P. tuberosa flowers. Floral extracts after derivatization were analysed by GC-MS. Classes 0, 1, 2, 3, 4, 5, and 6 indicates group average abundances of Calcutta double, Calcutta single, Jyothi, Ujwal, Shnigdha, Shringhar, and Phule rajani cultivars respectively. Red and green color denotes highest and lowest relative abundances of non-volatile compounds, respectively. Abbreviations: Met a-D-gal - Methyl α-D-galactofuranoside, Met b-D-gal - Methyl β-D-galactopyranoside, Met b-D-glu - Methyl β-D-glucofuranoside, 4- HBALD - 4-hydroxybenzaldehyde, 4-HBA - 4-hydroxybenzoic acid, 2, 5-DHBA - 2, 5-Dihydroxybenzoic acid. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

Fig. 5 in Profiling of volatile and non-volatile metabolites in Polianthes tuberosa L. flowers reveals intraspecific variation among cultivars

Fig. 5. Metabolite map representing the normalized relative abundances of few important primary and specialized metabolites during the blooming stage of P. tuberosa flowers. The amount of metabolites from four different P. tuberosa cultivar clusters were colour coded for low to high contents as per the scale shown. Cluster A includes CD, cluster B includes CS, cluster C includes JY and PR and cluster D includes SN, UJ, and SR. Solid arrows represent single step reactions, dotted arrows represent multi step reactions and block arrows represent volatile emission or exchange within the cell. Emitted levels of volatiles are shown outside the cell, while endogenous levels are represented inside the cytosol. Glycosyl-bound volatiles are shown inside in a representative vacuolar structure. (For interpretation of the references to colour in this figure legend, the reader is referred to the Web version of this article.)

Fig. 1 in Profiling of volatile and non-volatile metabolites in Polianthes tuberosa L. flowers reveals intraspecific variation among cultivars

Fig. 1. Profile of floral scent volatiles in studied cultivars of P. tuberosa. Stack plots represent (A) volatiles emitted by flowers in μg g−1 fr. wt h−1, (B) free endogenous volatiles of whole flower in μg μg g−1 fr. wt and (C) glycosyl-bound volatiles of whole flower in μg μg g−1 fr. wt. Abbreviations: CD - Calcutta double, CS - Calcutta single, JY - Jyothi, UJ - Ujwal, SN - Shnigdha, SR - Shringhar, and PR - Phule rajani.

Fig. 4 in Profiling of volatile and non-volatile metabolites in Polianthes tuberosa L. flowers reveals intraspecific variation among cultivars

Fig. 4. Multivariate analysis of P. tuberosa cultivars (classes 0–6). The scores plot obtained after PLS-DA analysis has been shown in A, where components 1 and 2 together can explain the maximum variance between the cultivars. Metabolites having higher VIP scores are shown in B where their relative abundances are color coded from high to low as per the scale shown. The dendrogram as shown in C was obtained after hierarchical clustering analysis of studied P. tuberosa cultivars. Classes 0, 1, 2, 3, 4, 5, and 6 represent Calcutta double, Calcutta single, Jyothi, Ujwal, Shnigdha, Shringhar and Phule rajani cultivars. Metabolites enlisted as 1–25 in B are sequentially represented as follows: quinic acid, V_D-limonene (V: detected as emitted volatile), myo-inositol, D-mannose, V_3-carene, EV_cis-methyl eugenol (EV: detected as endogenous volatile), V_Z- β-caryophyllene, V_benzyl salicylate, EV_benzyl benzoate, EV_eugenol, methyl α-D-galactofuranoside, EV_(Z, E)-farnesol, GV_2-nitrocumene (GV: detected as glycosyl-bound volatile), EV_1,8-cineole, V_1,R-α-pinene, Methyl β-D-galactopyranoside, GV_4-propyl benzaldehyde, Methyl α-Dglucofuranoside, V_β-terpineol, D-fructofuranose, L-threonine, EV_2-hydroxy cineole, EV_3-exo-hydroxy-1,8-cineole, EV_5-hydroxy-7(Z)-decenoic acid-δ-lactone and GV_5-hydroxy-7Z-decenoic acid- δ –lactone.

opencc-by-4.0Mar 2024View details →

Analysis workflow and dataset for Maxillary palps of tephritidae are tuned to food rather than oviposition volatiles and converge on ecology

In this repository all data and scripts for generating the figure in the manuscript "Maxillary palps of tephritidae are tuned to food rather than oviposition volatiles and converge on ecology" can be found.  Data is found under /Data with recording for each fruit and the combined lure can be found under its respective name. In Data/sample GC-EPD .pptx there are also sample traces. In workflow most of the script needed to generate the figure that ends up in Output is available

Fig. 4 in Arachidonic acid-dependent carbon-eight volatile synthesis from wounded liverwort (Marchantia polymorpha)

Fig. 4. Effect of incubation after tissue-disruption on the amounts of endogenous volatiles. Volatiles were extracted with methyl tert-butyl ether from intact thalli (lower chromatogram) or from freeze–thaw treated thalli (upper chromatogram), and analyzed using GC–MS. Inset shows the enlarged chromatogram from 15.8 to 18.4 min. C15 sesquiterpenoids with the chemical formulas C15H24 (m/z 204, with peaks k to p) and C15H26O (m/z 222, with the peaks q and r) were tentatively identified based on their MS profiles (Supplemental Fig. S2).

Fig. 6 in Arachidonic acid-dependent carbon-eight volatile synthesis from wounded liverwort (Marchantia polymorpha)

Fig. 6. Resolution of enantiomers of 5 formed from racemic 3. The crude enzyme extract prepared from des6KO thalli was reacted with racemic 3, and the 5 formed by enzyme catalyzed hydrolysis was subjected to chiral phase GC analysis (upper chromatogram). 5 was not detected with the reaction mixture prepared without substrate (middle chromatogram) or without enzyme (lower chromatogram).

Fig. 3 in Arachidonic acid-dependent carbon-eight volatile synthesis from wounded liverwort (Marchantia polymorpha)

Fig. 3. Time course of emission of 1 and 5 after mechanical wounding of M. polymorpha thallus grown in a field. Average ± s.e. (n = 6) is shown. Different letters for each compound refer to significant differences (ANOVA, Bonferroni, P <0.01).

Fig. 5 in Arachidonic acid-dependent carbon-eight volatile synthesis from wounded liverwort (Marchantia polymorpha)

Fig. 5. Effect of incubation after tissue disruption on C8 volatile formation. The thalli were frozen and the volatiles were extracted (white bars), or the frozen thalli were thawed, and incubated for 5 min at 24 °C to facilitate the enzyme reaction (gray bar). Average ± s.e. (n = 4) is shown. Asterisks indicate significant differences for the noted compound (Student's t-test, ⁄⁄⁄P <0.001).

Fig. 8 in Arachidonic acid-dependent carbon-eight volatile synthesis from wounded liverwort (Marchantia polymorpha)

Fig. 8. Effect of addition of NAD(P)H on the C8 volatiles emitted from M. polymorpha thalli. C8 volatiles extracted from intact (white bars), partially wounded (50%, gray bars), totally disrupted (black bars), totally disrupted in the presence of NADH (coarse stripe), and totally disrupted M. polymorpha thalli in the presence of NADPH (dense stripe) were quantified. The average ± s.e. (n = 4–5) is shown. Different letters for each compound refer to significant differences (one way ANOVA, Fisher, P <0.05).

opencc-by-4.0Dec 2022View details →

Model data for "A model study on investigating the sensitivity of aerosol forcing on the volatilities of semi-volatile organic compounds" by Irfan et al

Abstract: This dataset contains simulation results from global aerosol-climate model ECHAM-SALSA. These simulations were performed to study the sensitivity of simulated SOA mass, CCN and radiative forcings to the assumed volatility distributions of biogenic SOA precursor species. The study employed volatility basis set (VBS) approach to represent and simulate SOA in the atmosphere. The study involved a comparative analysis between finely resolved 9-bin VBS setup with a simplified 3-bin VBS setup. It also included how the SOA mass, CCN and radiative forcing are sensitive to the volatitility of individual VBS bins. Methods: Global scale aerosol-climate model simulations were performed using ECHAM-SALSA. We performed three diferent simulations each using 9-bin and 3-bin VBS setups with the volatilities increased (VBSx10) and decreased (VBSx0.1) by one-order of magnitude with respect to the original volatility (VBSx1). Another set of six different simuations were performed by increasing and decreasing the volatilities of one VBS bin at a time while keeping the original volatilities of other bins. TechnicalInfo: In this study, all the ECHAM-SALSA simulations used T63 spectral truncation and 47 hybrid sigma pressure levels in horizontal and vertical resolution respectively. Simulations were performed for the year 2010 with half a year spin-up. The data was simulated with 3-hourly output for the simulation period. We then calculated monthly means of the summer months from 3-hourly data for all the model values except CDNC. We used the the 3-hourly data to analyse CDNC from grids with cloud fraction ≥ 0.95. A detailed description of model simulations is given in the setup file of each simulation. TechnicalInfo: The external URL leads to a bucket containing setup files, the complete dataset (post-processed NETCDF files) presented in the manuscript, and the python scripts used for data analysis for each of the simulations.

opencc-by-4.0Mar 2022View details →

Comparison of Volatile Flavor Compounds in Plant-based and Real Pork Mince by Headspace-Gas Chromatography-Ion Mo-bility Spectrometry (HS-GC-IMS)

Table S1: The peak intensity of VFCs that identified in six raw pork minces by GC-IMS; Table S2: The peak intensity of VFCs that identified in six steamed pork minces by GC-IMS; Table S3: The peak intensity of VFCs that identified in six stir-fried pork minces by GC-IMS.

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Tri-trophic interactions with avian predators: the effect of host plant species and herbivore-induced plant volatiles on recruiting avian predators

<div> Herbivore-induced plant volatiles (HIPVs) are important signaling compounds released by plants upon wounding. These compounds have been shown to mediate tri-trophic interactions in recruiting insect predators and parasitoids. Recent work has begun to show that avian species, which were once thought to have a very limited sense of smell, can cue in on these HIPVs to find insect prey. Here, we test the ability for two general HIPVs, methyl jasmonate and methyl salicylate, to recruit avian predators. We test the recruitment efficacies of these HIPVs across 4 different host plant species (black walnut, red maple, cattail, and wheat) and use clay caterpillars to quantify predation by insectivorous birds. We found no significant differences in predation between treatment groups across any of our host plants. However, there was a nearly-significant effect of methyl salicylate in black-walnut trees. Interestingly, our results did show a significant effect of host plant species on predation levels. The two tree species, particularly black walnut, had higher levels of predation than the herbaceous species. We discuss the implications of these results and suggest a number of ideas and suggestions for future studies investigating the role of HIPVs in attracting insectivorous birds. </div>

opencc-zeroMar 2022View details →

opencc-by-4.0Apr 2022View details →

Does Investor Sentiment Predict Bitcoin Return and Volatility? - A Quantile Regression Approach

This dataset was used in generating findings for the paper titled "Does Investor Sentiment Predict Bitcoin Return and Volatility? - A Quantile Regression Approach".

opencc-by-4.0Jun 2022View details →

Orbitrap analysed non-volatile compound data from blue swimmer crab (Portunus armatus) flesh for manuscript: "Climate-driven changes to taste and aroma determining metabolites in an economically valuable portunid (Portunus armatus) have implications for future harvesting"

Accurate mass measurements of non-volatile metabolites conducted on a Q-Exactive Orbitrap LC-MS (Thermo Scientific, Scoresby, VIC, Australia) equipped with a heated electrospray ionization (H-ESI) source. Source conditions were as follows: spray voltage (positive ion 3.9 kV), sheath gas 60 (arbitrary units), auxiliary gas 10 (arbitrary units) and sweep gas 1 (arbitrary units), capillary temperature of 350 °C and auxiliary gas heating temperature of 400 °C.

opencc-by-4.0Jun 2022View details →

Data used in "Marine heatwaves make more contribution to changing air–water exchange of semi-volatile organic compounds than mean sea surface temperature raising"

Data used in "Marine heatwaves make more contribution to changing air–water exchange of semi-volatile organic compounds than mean sea surface temperature raising"

opencc-by-4.0Nov 2015View details →

Supplementary material 3 from: Břízová R, Vaníčková L, Faťarová M, Ekesi S, Hoskovec M, Kalinová B (2015) Analyses of volatiles produced by the African fruit fly species complex (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 385-404. https://doi.org/10.3897/zookeys.540.9630

Table 3: Explanation note: Compounds, their relative percentage (Area±SD), and chemical characteristics identified by GC×GC-TOFMS and GC-FID/EAD in the headspace extracts of the calling males of Ceratitis rosa.

opencc-by-4.0Nov 2015View details →

Supplementary material 2 from: Břízová R, Vaníčková L, Faťarová M, Ekesi S, Hoskovec M, Kalinová B (2015) Analyses of volatiles produced by the African fruit fly species complex (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 385-404. https://doi.org/10.3897/zookeys.540.9630

Table 2: Explanation note: Compounds, their relative percentage (Area±SD), and chemical characteristics identified by GC×GC-TOFMS and GC-FID/EAD in the headspace extracts of the calling males of Ceratitis anonae.

opencc-by-4.0Nov 2015View details →

Supplementary material 1 from: Břízová R, Vaníčková L, Faťarová M, Ekesi S, Hoskovec M, Kalinová B (2015) Analyses of volatiles produced by the African fruit fly species complex (Diptera, Tephritidae). In: De Meyer M, Clarke AR, Vera MT, Hendrichs J (Eds) Resolution of Cryptic Species Complexes of Tephritid Pests to Enhance SIT Application and Facilitate International Trade. ZooKeys 540: 385-404. https://doi.org/10.3897/zookeys.540.9630

Table 1: Explanation note: Compounds, their relative percentage (Area±SD), and chemical characteristics identified by GC×GC-TOFMS and GC-FID/EAD in the headspace extracts of the calling males of Ceratitis fasciventris.