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38 results for “eugenol”
Figure 2 in Mark-Release-Recapture Experiments on the Effectiveness of Methyl Eugenol-Spinosad Male Annihilation Technique Against an Invading Population of Bactrocera dorsalis
Figure 2. Visual representation of the MAT-ME saturation hypothesis. Darker areas represent higher concentrations of attractant odor in the air column, represented from above. (A) A single sentinel trap baited with 6 ml of methyl eugenol under control conditions. A release of males around the center of the area would lead some of the males to find the plume and successfully follow it to the trap for capture. (B) A single sentinel trap with some MAT-ME spots (low rate). More attractant is available, but gradients to point sources are still clear; note that the MAT-ME spots have a lower overall concentration at the source. (C) A single sentinel trap with a high density of MAT-ME spots. A haze of attractant exists, making gradients shorter. The sentinel trap is still about as effective as before due to higher final concentration, but the less concentrated MAT-ME spots are harder to find.
Figure 1 in Mark-Release-Recapture Experiments on the Effectiveness of Methyl Eugenol-Spinosad Male Annihilation Technique Against an Invading Population of Bactrocera dorsalis
Figure 1. Mean proportion recaptured by treatment. Whiskers indicate standard errors. Letters indicate statistically significant differences at α = 0.05 via two-sample z-test (see text for details)
Fig. 3 in Efficacy of eugenol and the methanolic extract of Condalia buxifolia during the transport of the silver catfish Rhamdia quelen
Fig. 3. The net ion (Na+, Cl- and K+) fluxes measured for the transport of Rhamdia quelen in plastic bags with eugenol and with the methanolic extract of Condalia buxifolia added to the water. The values are the means ± SEM. The different letters indicate significant differences between the treatments for the same ion (P<0.05).
Fig. 1 in Efficacy of eugenol and the methanolic extract of Condalia buxifolia during the transport of the silver catfish Rhamdia quelen
Fig. 1. Time to reach the light sedation stage in Rhamdia quelen juveniles of two different weight classes exposed to the methanolic extract of Condalia buxifolia. The following equations were fitted to the data: For fish weighing 1.50 ± 0.02 g; y = 209.629 e0.015 x; r2 =0.996. For fish weighing 165.7 ± 22.5 g; y = 2039.020 e0.017 x; r2 =0.999. Where x = the concentration of the methanolic extract of C. buxifolia (µL L-1) and y = time for sedation(s).
Fig. 2 in Field capture of male oriental fruit flies (Diptera: Tephritidae) in traps baited with solid dispensers containing varying amounts of methyl eugenol
Fig. 2. Captures of Bactrocera dorsalis males on Oahu, Hawaii, USA, in Jackson traps baited with fresh liquid methyl eugenol or weathered, polymeric plugs containing 3, 6, or 10 g of methyl eugenol, where accompanying dichlorvos squares were either weathered (A, Experiment 2) or replaced prior to each trapping period (B, Experiment 3). Symbols represent means ± 1 SE; n = 12 in all cases. For a given trapping interval, means marked with different letters differed significantly (P <0.05, Tukey test).
Fig. 1 in Field capture of male oriental fruit flies (Diptera: Tephritidae) in traps baited with solid dispensers containing varying amounts of methyl eugenol
Fig. 1. Captures of Bactrocera dorsalis males on the Big Island, Hawaii, USA (Experiment 1) in Jackson traps baited with fresh liquid methyl eugenol or weathered, polymeric plugs containing 3, 6, or 10 g of methyl eugenol. Symbols represent means ± 1 SE; n = 12 in all cases.
Figure 1 in Attraction of Lacewings (Neuroptera: Chrysopidae) to Methyl Eugenol in Asia
Figure 1. Ankylopteryx anomala (Brauer) male. Photo by Shu-Pei Chen.
Figure 1a, b in Protaetia orientalis (Coleoptera: Scarabaeidae) Attracted to Methyl Eugenol Fruit Fly Lure
Figure 1a, b. Adults of Protaetia orientalis (1a, left) and P. fusca (1b, right).
Data from: What is there to gain and lose from plant-derived nano-enabled pesticides: Eugenol-loaded nanocarriers exert long-lived effects on non-target freshwater invertebrate communities
Open the record for dataset details and reuse information.
Fig. 5 in A robust method for simultaneous quantification of eugenol, eugenyl acetate, and β-caryophyllene in clove essential oil by vibrational spectroscopy
Fig. 5. The score plots of the wavenumbers obtained from the best PLS models. a) Total eugenol, b) Eugenyl acetate, c) β-caryophyllene. PLS: Partial least square.
Fig. 4 in A robust method for simultaneous quantification of eugenol, eugenyl acetate, and β-caryophyllene in clove essential oil by vibrational spectroscopy
Fig. 4. The plots of the regression coefficients and the predicted versus reference values of the major compounds obtained from the best PLS models. a) Total eugenol, b) Eugenyl acetate, c) β-caryophyllene. PLS: Partial least square.
Fig. 3 in A robust method for simultaneous quantification of eugenol, eugenyl acetate, and β-caryophyllene in clove essential oil by vibrational spectroscopy
Fig. 3. ATR-FTIR spectra of the calibration sets. a) Total eugenol, b) Eugenyl acetate, c) β-caryophyllene. ATR-FTIR: Attenuated total reflectance- Fourier transform infrared.
Fig. 2 in A robust method for simultaneous quantification of eugenol, eugenyl acetate, and β-caryophyllene in clove essential oil by vibrational spectroscopy
Fig. 2. GC-MS chromatogram obtained with the analysis of CO13 sample. GC-MS: Gas chromatography-mass spectrometry; CO: Clove oil.
Fig. 1 in A robust method for simultaneous quantification of eugenol, eugenyl acetate, and β-caryophyllene in clove essential oil by vibrational spectroscopy
Fig. 1. The molecular structures of the major components of clove essential oil. a) Eugenol, b) Eugenyl acetate, c) β-caryophyllene.
Fig. 7 in Biosynthesis and tissue-specific partitioning of camphor and eugenol in Ocimum kilimandscharicum
Fig. 7. Schematic representation of the mechanisms underlying camphor and eugenol partitioning in O. kilimandscharicum revealed by integration of transcriptomics and metabolomics data. Partitioning of camphor to the aerial tissues was attributed to differential expression of camphor biosynthesis pathway genes (Mechanism 1), while partitioning of eugenol to the roots was attributed to transport from source (aerial tissues) to the sink (roots) (Mechanism 2) potentially mediated by ABC and MATE transporter proteins [geranyl diphosphate synthase (gpps), borneol dehydrogenase (bdh), eugenol synthase (egs), ATP-binding cassette (ABC) transporters, multidrug and toxic compound extrusion (MATE) transporters].
Fig. 6 in Biosynthesis and tissue-specific partitioning of camphor and eugenol in Ocimum kilimandscharicum
Fig. 6. Gene co-expression analysis. A whole genome co-expression network was constructed using our RNA-Seq data in CoExpNetViz to identify candidate genes putatively involved in eugenol biosynthesis and transportation. egs1 and 4cl4 were used as the bait genes (indicated using red font on the heat map representing digital gene expression of genes involved in phenylpropanoid pathway across different tissues). For heatmap analysis, the color scale for fold-change values is shown. The network was filtered to hold correlations with r-value cut-off corresponding to the top 95th percentile and bottom 5th percentile of all correlations measured (rvalue> 0.8 and r-value <−0.2, Pearson correlation coefficient). Red edges indicate negative correlation while green edges indicate positive correlation between genes. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 3 in Biosynthesis and tissue-specific partitioning of camphor and eugenol in Ocimum kilimandscharicum
Fig. 3. Agrobacterium-mediated transient silencing and overexpression of genes putatively involved in camphor biosynthesis in O. kilimandscharicum. GC-MS based metabolic profiling of (A) bdh silenced (RNAi_BDH) (B) gpps silenced (RNAi_GPPS) (C) bdh overexpressing (OE_BDH), and (D) gpps overexpressing (OE_GPPS) plants (where, "control" indicates uninduced plants). All experiments were repeated twice independently (number of plants per treatment, n = 6). Error bars represent the mean ± standard deviation. Data were statistically significant at p <0.0001 (indicated by "****"), p <0.001 (indicated by "***"), p <0.01 (indicated by "**"), and p <0.05 (indicated by "*").
Fig. 5 in Biosynthesis and tissue-specific partitioning of camphor and eugenol in Ocimum kilimandscharicum
Fig. 5. Integration of transcriptomics and metabolomics data for understanding eugenol biosynthesis in O. kilimandscharicum (Ok). (A) Pathway genes and intermediate metabolites in eugenol biosynthesis in O. kilimandscharicum. Transcripts for the genes marked in red were present in the Ok transcriptome. Metabolites marked in black were putatively identified; however, those marked in blue could not be detected on the LC-Orbitrap [phenylalanine ammonia-lyase (PAL), cinnamate 4-hydroxylase (C4H), p-coumarate 3-hydroxylase (C3H), caffeic acid O-methyltransferse (COMT), 4-coumarate:CoA ligase (4CL), cinnamoyl-CoA reductase (CCR), cinnamyl alcohol dehydrogenase (CAD), alcohol acyltransferase (AAT), eugenol synthase (EGS)]. (B) Heat map analysis showing putatively identified intermediates detected on the LC-Orbitrap across different tissues [anther + pistil (A + P)]. All values represent an average of three biological replicates. The color scale for foldchange values is shown. (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
Fig. 2 in Biosynthesis and tissue-specific partitioning of camphor and eugenol in Ocimum kilimandscharicum
Fig. 2. Putative camphor biosynthesis pathway. Schematic representation of the putative camphor biosynthesis pathway in O. kilimandscharicum. Genes highlighted in red were cloned and functionally characterized [isopentynyl diphosphate (IPP), dimethylallyl pyrophosphate (DMAPP), geranyl diphosphate (GPP), bornyl diphosphate (BPP), geranyl diphosphate synthase (gpps), bornyl diphosphate synthase (bpps), bornyl diphosphate diphosphatase (bppd), borneol dehydrogenase (bdh)]. (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 Biosynthesis and tissue-specific partitioning of camphor and eugenol in Ocimum kilimandscharicum
Fig. 4. Integration of transcriptomics and metabolomics data for analyzing camphor biosynthesis in O. kilimandscharicum. (A) Heat map analysis showing the accumulation of camphor biosynthesis pathway intermediates and metabolites across different tissues using GC-MS [inflorescence (Infl)]. All values represent an average of three biological replicates. The color scale for fold-change values is shown. (B) Relative expression analysis of camphor biosynthesis pathway genes performed using real-time PCR [geranyl diphosphate synthase (gpps), borneol dehydrogenase (bdh)]. Error bars represent the mean ± standard deviation. Unpaired t-test suggested significant difference between data at p <0.001 (indicated by "***"), p <0.01 (indicated by "**"), and p <0.05 (indicated by "*"). NS indicates non-significant difference in fold change (x). (For interpretation of the references to color in this figure legend, the reader is referred to the Web version of this article.)
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Allen Brain Atlas
Allen Brain Atlas is an Allen Institute collection of brain map atlases, datasets, APIs, and analysis tools covering mouse, human, and non-human primate brain resources.
Annotated Behaviour and Observability Dataset (ABODe)
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DANDI Archive for NWB datasets
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The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.
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