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21 results for “linalool”
Fig. 2. Relationships concentration x in Anesthesia of tambaqui Colossoma macropomum (Characiformes: Serrasalmidae) with the essential oils of Aniba rosaeodora and Aniba parviflora and their major compound, linalool
Fig. 2. Relationships concentration x anesthesia induction or recovery time in tambaqui, Colossoma macropomum, exposed to the linalools. a. synthetic linalool; light sedation: y=4.4+(4281/x), r2=0.716, deep sedation: y=-22.5+(12252/x), r2=0.773, deep anesthesia:y=15.3+(17878/x), r2=0.669, recovery: y=43.9+0.66x+0.0015x2, r2=0.712. b. linalool extracted from Aniba rosaeodora; deep sedation: y=29.0+(6010/x), r2=0.784, deep anesthesia: y=-151.3+(60541/x), r2=0.873. Light sedation and recovery: no significant relationship. y = time to reach stage or recovery (s) and x = concentration (µL L-1).
FIGURE 5 in Linalool chemotype essential oil from Lippia alba in the anesthesia of fat snook (Centropomus parallelus): ventilatory rate, biochemical, antioxidant, and oxidative status parameters
FIGURE 5 | Antioxidant and oxidative stress parameters in the liver after transferring to recovery aquariums of fat snook (Centropomus parallelus) anesthetized with the essential oil from Lippia alba (EOLA). A = GST (glutathione S-transferase). B = SOD (superoxide dismutase). C = CAT (catalase). D = LPO (lipid peroxidation). Data are presented as the mean ± SEM (n = 5 fish per treatment each time). Capital letters indicate significant differences between time points within the same treatment. Lowercase letters indicate significant differences between treatments at the same time point. Two-way ANOVA and Tukey's tests were used to determine statistical significance (P <0.05).
FIGURE 1 in Linalool chemotype essential oil from Lippia alba in the anesthesia of fat snook (Centropomus parallelus): ventilatory rate, biochemical, antioxidant, and oxidative status parameters
FIGURE 1 | Time (s) required for mild and deep anesthesia and recovery in fat snook angelfish (Centropomus parallelus) with increasingly essential oil from Lippia alba (EOLA) concentrations. Data are presented as the mean ± SEM (n = 10 fish per treatment). Different letters indicate significant differences between treatments. One-way ANOVA and Tukey's tests were used to determine statistical significance (P <0.05). Mild and deep anesthesia times showed regression.
FIGURE 4 in Linalool chemotype essential oil from Lippia alba in the anesthesia of fat snook (Centropomus parallelus): ventilatory rate, biochemical, antioxidant, and oxidative status parameters
FIGURE 4 | Blood glucose (A) and whole-body cortisol (B) levels after transferring to recovery aquariums of anesthetized fat snook (Centropomus parallelus) with essential oil from Lippia alba (EOLA). Data are presented as the mean ± SEM (n = 5 fish per treatment each time). Capital letters indicate significant differences between time points within the same treatment. Lowercase letters indicate significant differences between treatments at the same time point. Two-way ANOVA and Tukey's tests were used to determine statistical significance (P <0.05).
FIGURE 2 in Linalool chemotype essential oil from Lippia alba in the anesthesia of fat snook (Centropomus parallelus): ventilatory rate, biochemical, antioxidant, and oxidative status parameters
FIGURE 2 | Time (s) required for mild and deep anesthesia and recovery in fat snook (Centropomus parallelus) exposed to essential oil from Lippia alba (180 µL L−1). Smaller fish = 6.03 ± 0.09 g; 9.30 ± 0.05 cm. Larger fish = 38.49 ± 2.07 g; 16.55 ± 0.26 cm. Data are presented as the mean ± SEM (n = 10 fish per treatment). Different letters indicate significant differences between fish body size classes. One-way ANOVA and Tukey's tests were used to determine statistical significance (P <0.05).
FIGURE 3 in Linalool chemotype essential oil from Lippia alba in the anesthesia of fat snook (Centropomus parallelus): ventilatory rate, biochemical, antioxidant, and oxidative status parameters
FIGURE 3 | Ventilatory rate (VR) of fat snook (Centropomus parallelus) during exposure to the essential oil from Lippia alba (EOLA). Data are presented as the mean ± SEM (n = 8 fish per treatment). Capital letters indicate significant differences between time points within the same treatment. Lowercase letters indicate significant differences between treatments at the same time point. Two-way ANOVA and Tukey's tests were used to determine statistical significance (P <0.05).
Extensive population-level sampling reveals clinal variation in (R)-(-)-linalool produced by the flowers of an endemic evening primrose, Oenothera harringtonii
<div></div> <div> <div> <p>The study of floral trait diversity has a long history due to its role in angiosperm diversification. While many studies have focused on visual traits including morphology and color, few have included floral scent despite its importance in pollination. Of the studies that have included floral scent, sampling has been limited and rarely explores variation at the population level. We studied geographic variation in the flowers of <em>Oenothera harringtonii</em>, a rare plant endemic to a vulnerable shortgrass prairie habitat, whose population structure and conservation status are well studied. The self-incompatible flowers of <em>O. harringtonii</em> open at dusk, produce nectar and a strong fragrance, and are pollinated by hawkmoths. We collected floral trait (morphology, scent chemistry and emission rates) data from 650 individuals from 19 wild populations to survey floral variation across the entire range of this species. Similarly, we collected floral data from 49 individuals grown in a greenhouse common garden, to assess whether variation observed in the field is consistent when environment factors (temperature, watering regime, soil) are standardized. We identified 35 floral volatiles representing 5 biosynthetic classes. Population differentiation was stronger for floral scent chemistry than floral morphology. (<em>R</em>)-(−)-linalool was the most important floral trait differentiating populations, exhibiting clinal variation across the distribution of <em>O. harringtonii</em> without any correlated shifts in floral morphology. Populations in the north and west produced (<em>R</em>)-(−)-linalool consistently, those in the east and south largely lacked it, and populations at the center of the distribution were polymorphic. Floral scent emissions in wild populations varied across four years but chemical composition was largely consistent over time. Similarly, volatile emission rates and chemical composition in greenhouse-grown plants were consistent with those of wild populations of origin. Our data set, which represents the most extensive population-level survey of floral scent to date, indicates that such sampling may be needed to capture potentially adaptive geographic variation in wild populations.</p> </div> </div>
Extensive population-level sampling reveals clinal variation in (R)-(-)-linalool produced by the flowers of an endemic evening primrose, Oenothera harringtonii
Open the record for dataset details and reuse information.
Comparative proteomic profiling of non-treated and linalool-treated KPC-KP cells
<p>Proteomic abundance, gene ontology and KEGG pathway analysis.</p>
Fig. 3 in Identification and characterization of three nearly identical linalool/ nerolidol synthase from Acorus calamus
Fig. 3. GC-MS of the products generated in vitro from Acorus calamus rhizomes cell-free extracts (protein crude extracts). (A) A. calamus rhizome protein crude extracts enzyme assay using GPP as substrate. (B) A. calamus rhizome protein crude extracts enzyme assay using FPP. (C) A. calamus rhizome protein crude extracts enzyme assay using NPP.
Fig. 2 in Identification and characterization of three nearly identical linalool/ nerolidol synthase from Acorus calamus
Fig. 2. GC-MS of the products generated in vitro from Acorus calamus leaves cell-free extracts (protein crude extracts). (A) A. calamus leaves protein crude extracts enzyme assay using GPP as substrate. (B) A. calamus leaves protein crude extracts enzyme assay using FPP. (C) A. calamus leaves protein crude extracts enzyme assay using NPP.
Fig. 6 in Identification and characterization of three nearly identical linalool/ nerolidol synthase from Acorus calamus
Fig. 6. Expression patterns of AcTPS genes in different tissues of Acorus calamus. Quantification of AcTPSs transcript levels by real-time RT-PCR analysis normalized to actin transcripts. All analyses were performed using three biological replicates.
Fig. 5 in Identification and characterization of three nearly identical linalool/ nerolidol synthase from Acorus calamus
Fig. 5. Analyses of products formed by AcTPS enzymes from geranyl diphosphate (GPP) and farnesyl diphosphate (FPP). GC-MS analysis of products formed by recombinant AcTPS3, AcTPS4, and AcTPS5 from GPP (A–C), from FPP (E–F), respectively. (D, H) GC-MS chromatograms of the products formed by extracts of Escherichia coli expressing the pEXP5 vector without an insert (control) in the presence of GPP (D) and FPP (H), respectively.
Fig. 1 in Identification and characterization of three nearly identical linalool/ nerolidol synthase from Acorus calamus
Fig. 1. The most abundant terpenes and phenylpropanoids in Acorus calamus leaves and rhizomes. (A) The level of terpenes founds only in A. calamus leaves. (B) The level of terpenes founds only in A. calamus rhizomes. (C) The level of most abundant terpenes founds in A. calamus leaves and rhizomes. (D) The level of phenylpropanoids founds only in A. calamus leaves and rhizomes. All analyses were performed using ten biological replicates. Columns marked with different letters differ significantly at P <0.05 (Tukey–Kramer HSD means comparison test). All analyses were performed using five biological replicates.
Fig. 1 in Anesthesia of tambaqui Colossoma macropomum (Characiformes: Serrasalmidae) with the essential oils of Aniba rosaeodora and Aniba parviflora and their major compound, linalool
Fig. 1. Relationships of concentration x anesthesia induction or recovery time in tambaqui, Colossoma macropomum, exposed to the essential oils. a. Aniba rosaeodora (EOAR); deep sedation: y=24.8+(8300/x), r2=0.705, deep anesthesia: y=-102.3+(36527/x), r2=0.913. Light sedation and recovery: no significant relationship. b. Aniba parviflora (EOAP); light sedation: y=2.08+(6563/x), r2=0.832, deep sedation: y=13.2+(10098/x), r2=0.703, deep anesthesia: y=-79.8+(41067/x), r2=0.906. Recovery: no significant relationship. y = time to reach stage or recovery (s) and x = concentration (µL L-1).
Downregulated d-limonene transgenic orange trees with increased linalool content showed resistance to Phyllosticta citricarpa
GEO Series GSE99295. Citrus; Citrus sinensis. 18 samples. Type: Expression profiling by array.
Fig. 4 in Identification and characterization of three nearly identical linalool/ nerolidol synthase from Acorus calamus
Fig. 4. An unrooted neighbor-joining tree based on protein sequences of Acorus calamus AcTPSs, and selected plant TPS sequences. The tree was generated using Phylogeny Analysis MEGA X program. The resulting tree was bootstrap analyzed with 1000 replicates, with the values at the nodes reported in percentages. The subdivisions (clades) of the TPS gene family, designated TPS-a to TPS-f, are according (Chen et al., 2011). The bold black underlines indicate the AcTPS sequences identified in this study (AcTPS1 to AcTPS6). Ag: Abies grandis, Ae: Aralia elata, Am: Antirrhinum majus, Ar: Actinidia rufa1, Cb: Clarkia breweri, Cc: Clarkia concinna, Cm: Cinnamomum micranthum, Cn: Cocos nucifera, Cs: Camellia sinensis, Eg: Elaeis guineensis, Fc: Ficuc carcica, Fv: Fragaria vesca, Gh: Gossypium hirsutum, Jr: Juglans regia, Md: Malus x domestica, Mn: Morus notabilis, Nn: Nelumbo nucifera, Ob: Ocimum basilicum, Pd: Prunus dulcis, Pb: Pyrus x bretschneideri, Pg: Picea glauca, Pp: Prunus persica, Pt: Populus trichocarpa, Qs: Quercus suber, Sl: Solanum lycopersicum, Ta: Triticum aestivum, VV: Vitis vinifera, Vr: Vitis riparia.
Repeated Open Application Test (ROAT) Study With Hydroperoxides of Linalool
ClinicalTrials.gov study NCT05858723. IPD Sharing: NO. Countries: 0. Publications: 0.
Linalool-responsive genes in rice
GEO Series GSE37598. Oryza sativa; Oryza sativa Japonica Group. 8 samples. Type: Expression profiling by array.
Linalool-responsive genes in linalool synthase-overexpressing transgenic rice
GEO Series GSE43383. Oryza sativa Japonica Group; Oryza sativa. 6 samples. Type: Expression profiling by array.
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