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15 results for “floral volatiles”

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zenodo44/100

Data of emission of floral volatiles and damage induced emissions of plants

<p>The file Emissiondata_plants_GCIMS contains a broad data set on the emissions of plant volatile organic compounds from different taxa. This allows cross species comparison of recorded emission pattern. Furthermore, distribution of identified (or unidentified) compounds can be&nbsp;&nbsp;traced for diferent species.&nbsp;</p> <p>All measurements were conducted&nbsp;performed with a mobile ppq-tec-GC-IMS (ION-GAS GmbH, Dortmund, Germany) based on hardware provided by STEP GmbH (Pockau-Lengefeld, Germany). GC pre-separation was performed under isothermal conditions (80&deg;C) for 1500 s on a MXT-200 capillary column (30 m x 0.53 mm, 1.5 &micro;m coating) with a carrier gas flow (filtered air from internal gas circuit) of 21 mL min<sup>-1</sup>. Ionization of pVOCs for mobility separation was performed using a tritium source of &beta;-radiation (100 MBq). Mobility separation and subsequent detection were performed with a drift-tube IMS (drift length of 5.61 cm) at 70 &deg;C and at a field strength of 300 V cm<sup>-1</sup>.</p> <p>&nbsp;</p> <p>The dataset contains 14 Variables and a total of 1866 observations (status: 10/06/2023, Version 1.0.0)</p> <p>4 variables describe the plant material. This includes the variables Species, Genus, Family and Order&nbsp;</p> <p>4 variables describe the sampled species. This includes plant part (flower or leaves), plant status (damaged or undamaged), the sample location and the Accession (only if the sample was provided by the Bonn University Botanical Gardens)</p> <p>6 variables describe the recorded emission patterns. Compound refers to the substance (unidentified compounds are abbreviated with UNK-n), retention time and relative ion mobility (parameters that allow cross species comparison and identification of substances), signal type (for some substances, ion clusters can be observed at higher concentrations. signal type refers to these ion clusters), and signal intensity (semi-quantitative measure for the abundance of a substance) and relative abundance (rel_abund; proportional contribution of a substance within a species, where&nbsp;the strogest signal is 1).&nbsp;</p> <p>&nbsp;</p> <p>The reference_compounds table is added to this. This contains information on substances that have already been identified (CAS, mass weight, retention time and relative ion mobility, dimerisation). These data were collected by direct injection of pure substances into the GC-IMS used.&nbsp;</p> <p>&nbsp;</p> <p>&nbsp;</p>

opencc-by-4.0Oct 2023View details →
zenodo40/100

Raw data for evaluation of Floral Volatile-Patterns in the Genus Narcissus using Gas Chromatography coupled Ion Mobility Spectrometry

<p>We used a commercial gaschromatography coupled ion mobility spectrometer, equipped with an integrated in-line enrichment system for fast, sensitive and automated analysis of floral volatile patterns in the genus <em>Narcissus</em>. The raw data of individual measurements are stored together with corresponding telemetry data as data matrices. The determined retention times and ion mobilities (series and columns) can be used for the identification of substances.&nbsp; The measured values (intensities) are used for a (semi)-quantoitative determination of individual substances.Based on these raw data, heatmaps can be generated in this way, which allow a comparison and potentially identification of floral volatiles.&nbsp;</p> <p>This data set is part of a proof of concept study for the use of GC-IMS in the investigation of flower volatiles.</p>

opencc-by-4.0Dec 2022View details →
dryad36/100

Broad diversity in monoterpene-sesquiterpene balance across wild sunflowers: implications of leaf and floral volatiles for biotic interactions

<p>• <strong>Premise of the study:</strong> As plant lineages diversify across environmental gradients, species are predicted to encounter divergent biotic pressures. This study investigates the evolution of volatile secondary metabolism across <em>Helianthus</em> genus.   <br>• <strong>Methods:</strong> Leaves and petals of 40 species of wild <em>Helianthus</em> were analyzed via gas chromatography-mass-spectrometry to describe volatile secondary metabolite profiles. <br>• <strong>Key results:</strong> Across all species, 500 compounds were identified including 40% sesquiterpenes, 18% monoterpenes, 3% diterpenes, 4% fatty acid derivatives, and 35% other compounds such as phenolics and small organic compounds. Qualitatively, annuals and species from more arid western climates had leaf compositions with a higher proportion of total monoterpenes, while erect perennials and species from more mesic eastern habitats contained a higher proportion of total sesquiterpenes. Among species, mass-based leaf monoterpene and sesquiterpene abundance were identified as largely orthogonal axes of variation by principal components analysis. Leaf and petal profiles were not strongly correlated. <br>• <strong>Conclusions:</strong> Wide diversity in volatile metabolism was observed among wild <em>Helianthus</em>, indicating value of this genus as a model system, and a rich genetic resource. The independence of leaf and petal volatile profiles indicates a low level of phenotypic integration between vegetative and reproductive structures, implying vegetative defense and reproductive defense or pollinator attraction functions mediated by terpenoid profiles in these two organs can evolve without major tradeoffs. The major biosynthetic pathways manufacturing major terpenoids identified in wild <em>Helianthus </em>have been well described to date, providing a road map to deeper inquiry into the drivers of this diversity.</p>

opencc-zeroOct 2022View details →
dryad36/100

The floral volatiles of Aquilegia coerulea for three populations grown at two water and temperature regimes, together with day and evening emission

<p><em>Premise of the study</em>: Shifts in abiotic factors can affect many plant traits, including floral volatiles. This study examines the response of floral volatiles to water availability, and whether phenotypic plasticity to water differs among populations. Furthermore, it investigates genetic differentiation in floral volatiles, determines the effect of temperature on phenotypic plasticity to water, and assesses temporal variation in floral scent emission between day and evening, since pollinator visitation differs at those times.</p> <p><em>Methods</em>:<em> </em>Rocky Mountain columbine plants (<em>Aquilegia coerulea</em>), started from seeds collected in three wild populations in Colorado, Utah, and Arizona, were grown under two water treatments in a greenhouse in Madison, Wisconsin, USA. One population was also grown under the two water treatments, at two temperatures. Air samples were collected from enclosed flowers using dynamic headspace methods and floral volatiles were identified and quantified by gas chromatography (GC) with mass spectrometry (MS) detection.</p> <p><em>Key Results</em>: Emission of three floral volatiles increased in the wetter environment, indicating phenotypic plasticity. The response of six floral volatiles to water differed among populations, suggesting genetic differentiation in phenotypic plasticity. Five floral volatiles varied among populations, and emission of most floral volatiles was greater during the day.</p> <p><em>Conclusions</em>: Phenotypic plasticity to water permits a quick response of floral volatiles in changing environments. The genetic differentiation in phenotypic plasticity suggests that phenotypic plasticity can evolve but complicates predictions of the effects of environmental changes on a plant and its pollinators.</p>

opencc-zeroMay 2023View details →
dryad36/100

The floral volatiles of Aquilegia coerulea for three populations grown at two water and temperature regimes, together with day and evening emission

Open the record for dataset details and reuse information.

publicMay 2023View details →
dryad36/100

Broad diversity in monoterpene-sesquiterpene balance across wild sunflowers: implications of leaf and floral volatiles for biotic interactions

Open the record for dataset details and reuse information.

publicOct 2022View details →
dryad36/100

Haplopappus floral volatiles, flower visitors' preferences, and floral-visitors interaction outcomes along an Andean elevational gradient

Open the record for dataset details and reuse information.

publicAug 2023View details →
dryad32/100

Data from: Floral volatiles structure plant-pollinator interactions in a diverse community across the growing season

Open the record for dataset details and reuse information.

publicAug 2019View details →
zenodo28/100

Figure 4 from: Llorens L, Ferriol P, Tomàs J, García MT, Gil L (2023) Can floral volatile organic compounds contribute to the taxonomy of the Rhamnus sect. Alaternus? Italian Botanist 16: 149-164. https://doi.org/10.3897/italianbotanist.16.116255

Figure 4 Non-metric multidimensional scaling ordination (NMDS) of floral scent profiles for Rhamnus alaternus (violet and empty circles), Rhamnus × bermejoi (blue and half black circles) and Rhamnus ludovici-salvatoris (green and black points).

opencc-by-4.0Dec 2023View details →
zenodo28/100

Figure 3 from: Llorens L, Ferriol P, Tomàs J, García MT, Gil L (2023) Can floral volatile organic compounds contribute to the taxonomy of the Rhamnus sect. Alaternus? Italian Botanist 16: 149-164. https://doi.org/10.3897/italianbotanist.16.116255

Figure 3 VOCs similarity histogram of Rhamnus alaternus (violet), Rh. × bermejoi (blue) and Rh. ludovici-salvatoris (green). Colour intensity is related to the level of presence of a component in each sample.

opencc-by-4.0Dec 2023View details →
zenodo28/100

Figure 2 from: Llorens L, Ferriol P, Tomàs J, García MT, Gil L (2023) Can floral volatile organic compounds contribute to the taxonomy of the Rhamnus sect. Alaternus? Italian Botanist 16: 149-164. https://doi.org/10.3897/italianbotanist.16.116255

Figure 2 Location of the Rhamnus populations included in the study. (See Suppl. material 1 for population abbreviations). Rh. alaternus open squares; Rh. ludovici-salvatoris filled triangles; Hybrids filled circle.

opencc-by-4.0Dec 2023View details →
zenodo28/100

Figure 1 from: Llorens L, Ferriol P, Tomàs J, García MT, Gil L (2023) Can floral volatile organic compounds contribute to the taxonomy of the Rhamnus sect. Alaternus? Italian Botanist 16: 149-164. https://doi.org/10.3897/italianbotanist.16.116255

Figure 1 Inflorescences, flowers and major pollinator (Apis mellifera) of RhamnusA–CRh. alaternusD, ERh. ludovici-salvatorisFRh. × bermejoiG leaves of the three species.

opencc-by-4.0Dec 2023View details →
zenodo28/100

Supplementary material 2 from: Llorens L, Ferriol P, Tomàs J, García MT, Gil L (2023) Can floral volatile organic compounds contribute to the taxonomy of the Rhamnus sect. Alaternus? Italian Botanist 16: 149-164. https://doi.org/10.3897/italianbotanist.16.116255

Floral scent chemistry

opencc-zeroDec 2023View details →
zenodo28/100

Supplementary material 1 from: Llorens L, Ferriol P, Tomàs J, García MT, Gil L (2023) Can floral volatile organic compounds contribute to the taxonomy of the Rhamnus sect. Alaternus? Italian Botanist 16: 149-164. https://doi.org/10.3897/italianbotanist.16.116255

Geographical location and sexuality of Rhamnus sampled plants

opencc-zeroDec 2023View details →
geo20/100

Volatile metabolome and floral transcriptome analyses reveal the volatile components of strongly fragrant progeny of Malus robusta Rehder

GEO Series GSE216719. Malus x robusta. 27 samples. Type: Expression profiling by high throughput sequencing.

openGEO-OpenJan 2023View details →

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