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1,501 results for “fatty acid”
Fig. 4 in Molecular Identification, Fatty Acid Profile and Trace Elements in a Stranded Fin Whale in Sabah (Borneo, Malaysia): Implications on Migration Routes and Trophic Ecology of Southern Fin Whales.
Fig. 4. (a) Concentrations of trace elements (Mean ± SD) in the skin and blubber of the southern fin whale recorded in the present study compared to (b) the concentrations of trace elements in the skin of southern right whales (Eubalaena australis) extracted from the results of Martino et al. (2013).
Fig. 3 in Molecular Identification, Fatty Acid Profile and Trace Elements in a Stranded Fin Whale in Sabah (Borneo, Malaysia): Implications on Migration Routes and Trophic Ecology of Southern Fin Whales.
Fig. 3. Comparison of the percentages of fatty acid profiles for (a) SFA, (b) MUFA and (c) PUFA in the tissues of adult male (M) and female (F) southern humpback whales during the early and late migrations extracted from the results of Waugh et al. (2012), epipelagic and mesopelagic (i.e., average) fish in the South China Sea (SCS) extracted from the supplementary data of Wang et al. (2019) and the southern fin whale in the present study.
FIGURE 4 in Effect of dietary omega-3 polyunsaturated fatty acids supplementation of Astyanax lacustris males on semen quality
FIGURE 4 | Results obtained for A. Head lateral displacement amplitude (ALH, µm) and B. Crossbeat frequency (BCF, Hz), after feeding with the inclusion of PUFAs-ô3 in the diet of Astyanax lacustris for a period of 105 days. In-0 – diet without inclusion of PUFAs-ô3; In-3 – feed with inclusion of 3% PUFAs-ô3; In-6 – feed with inclusion of 6% of PUFAs-ô3; In-9 – feed with inclusion of 9% PUFAs-ô3. Different lowercase letters indicate statistical difference between treatments for ALH and BCF (Kruskal-Wallis, p<0.05).
FIGURE 3 in Effect of dietary omega-3 polyunsaturated fatty acids supplementation of Astyanax lacustris males on semen quality
FIGURE 3 | Results obtained for A. Linearity (LIN, %), B. Straightness coefficient (STR, %) and C. Mean oscillation of the spatial trajectory (WOB, %), after feeding with the inclusion of PUFAs-ô3 in the diet of Astyanax lacustris for a period of 105 days. In-0 – diet without inclusion of PUFAs-ô3; In-3 – feed with inclusion of 3% PUFAs-ô3; In-6 – feed with inclusion of 6% of PUFAs-ô3; In-9 – feed with inclusion of 9% PUFAs-ô3. Different lowercase letters indicate statistical difference between treatments for LIN, STR and WOB (Kruskal-Wallis, p<0.05).
FIGURE 2 in Effect of dietary omega-3 polyunsaturated fatty acids supplementation of Astyanax lacustris males on semen quality
FIGURE 2 | Results obtained for A. Percentage of fast (SptzRápido), medium (SptzMedium) and slow (SptzSlow), B. Curvilinear velocity (VCL, µm/s), C. Linear velocity (VSL, µm/ s), D. Mean velocity (VAP, µm/s%) after feeding with the inclusion of PUFAs-ô3 in the diet of Astyanax lacustris for a period of 105 days. In-0 – diet without inclusion of PUFAs-ô3; In-3 – feed with inclusion of 3% PUFAs-ô3; In-6 – feed with inclusion of 6% of PUFAs-ô3; In-9 – feed with inclusion of 9% PUFAs-ô3. Different capital letters indicate statistical difference between treatments for SptzFast. Different lowercase letters indicate statistical difference between treatments for SptzMedium, SptzSlow percentage, VCL, VSL and VAP (Kruskal-Wallis, p<0.05).
FIGURE 1 in Effect of dietary omega-3 polyunsaturated fatty acids supplementation of Astyanax lacustris males on semen quality
FIGURE 1 | Results obtained for total (MOT, %) and progressive (PRG, %) sperm motility after feeding with the inclusion of PUFAs-ô3 in the diet of Astyanax lacustris for a period of 105 days. In-0 – diet without inclusion of PUFAs-ô3; In-3 – feed with inclusion of 3% PUFAs-ô3; In-6 – feed with inclusion of 6% of PUFAs-ô3; In-9 – feed with inclusion of 9% PUFAs-ô3. Different capital letters indicate statistical difference between treatments for MOT. Different lowercase letters indicate statistical difference between treatments for PRG (Kruskal-Wallis, p<0.05).
Figure 6 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses
Figure 6. Principal component analysis (PCA) graph (biplot) showing the consistency between the variation in the otoliths shape (OS) and the variation in fatty acid composition between and within males (M) and females (F) of the six species collected from the five stations in the Gulf of Tunis, Tunisia.
Figure 4 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses
Figure 4. Principal component analysis (PCA) graph (biplot) showing the barycenter () projection of the left (L) and right (R) otolith shape values between (a) and within (b) males (M) and females (F) of the six species collected from the five stations in the Gulf of Tunis, Tunisia. TM: T. mediterraneus; SP: S. pilchardus; CA: C. auratus; MB: M. barbatus; GN: G. niger; TD: T. draco.
Figure 5 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses
Figure 5. Hierarchical ascending classification (HAC) dendrogram generated based on the left and right otoliths shape values of dissimilarity between individuals of the six species collected from the five stations in the Gulf of Tunis, Tunisia. TM: T. mediterraneus; SP: S. pilchardus; CA: C. auratus; MB: M. barbatus; GN: G. niger; TD: T. draco.
Figure 3 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses
Figure 3. (a) Discriminant function analysis (DFA) and (b) principal component analysis (PCA) graph (biplot) showing the barycenter projection and distribution of the fatty acid composition percentage values between and within males (M) and females (F) of the six species collected from the five stations in the Gulf of Tunis, Tunisia. T.m.: T. mediterraneus.
Figure 2 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses
Figure 2. Real images of the left (L) and right (R) otoliths of (A) T. mediterraneus, (B) S. pilchardus, (C) C. auratus, (D) T. draco, (E) G. niger, and (F) M. barbatus individuals collected from the five stations in the Gulf of Tunis, Tunisia.
Figure 1 in Discrimination between six commercially relevant and ecologically diverse fish species across the Gulf of Tunis using fatty acid composition and otolith shape analyses
Figure 1. Study area and location of the sampling stations (■) from which individuals of the six species were collected from the Gulf of Tunis, Tunisia.
Flash point of butanol + Fatty Acid Ethyl Esters mixtures
<p>Experimental flash point data for 1-butanol and Fatty Acid Ethyl Esters were measured using a Miniflash FLPH analyzer (Grabner Instruments, Austria) in accordance with ASTM D6450.</p>
Quantification of Fatty Acids in Hemp Seeds (Cannabis sativa L.) and Yield Prediction Using Machine Learning for Soxhlet and Ultrasound Extraction Methods
<p>This study focuses on the quantification of fatty acids present in hemp seeds (Cannabis sativa L.) cultivated in the Ecuadorian Andes using Soxhlet and ultrasound extraction methods. The aim is to evaluate and compare the extraction efficiency of these two techniques. Furthermore, machine learning models are applied to predict extraction yields based on experimental conditions. Using locally cultivated seeds provides valuable insights into the influence of regional agro-climatic conditions on the chemical composition. The integration of predictive algorithms offers a novel approach to optimizing the extraction process, enhancing both precision and efficiency. The findings could contribute to developing sustainable extraction methods for high-value bioactive compounds in the food and pharmaceutical industries.</p>
A human gut Faecalibacterium prausnitzii fatty acid amide hydrolase- Genome Annotation
<p>Genome annotation for <em>F. prausnitzii </em>Bg7063</p> <p><em>Science </em><strong>386</strong>, eado6828 (2024)</p> <p>DOI: 10.1126/science.ado6828</p> <p>Undernutrition in Bangladeshi children is associated with disruption of postnatal gut microbiota assembly; compared with standard therapy, a microbiota-directed complementary food (MDCF) substantially improved their ponderal and linear growth. Here, we characterize a fatty acid amide hydrolase (FAAH) from a growth-associated intestinal strain of Faecalibacterium prausnitzii cultured from these children. This enzyme, expressed and purified from Escherichia coli, hydrolyzes a variety of N-acylamides, including oleoylethanolamide (OEA), neurotransmitters, and quorum sensing N-acyl homoserine lactones; it also synthesizes a range of N-acylamides, notably N-acyl amino acids. Treating germ-free mice with N-oleoylarginine and N-oleolyhistidine, major products of FAAH OEA metabolism, markedly affected expression of intestinal immune function pathways. Administering MDCF to Bangladeshi children considerably reduced fecal OEA, a satiety factor whose levels were negatively correlated with abundance and expression of their F. prausnitzii FAAH. This enzyme, structurally and catalytically distinct from mammalian FAAH, is positioned to regulate levels of a variety of bioactive molecules.</p> <p> </p>
Supplementary data to publication "Abomasal infusion of essential fatty acids and conjugated linoleic acid during late pregnancy and early lactation affects immunohematological and oxidative stress markers in dairy cows"
<p>Supplementary data to publication "Abomasal infusion of essential fatty acids and conjugated linoleic acid during late pregnancy and early lactation affects immunohematological and oxidative stress markers in dairy cows" in Journal of Dairy Science; DOI: <a href="https://doi.org/10.3168/jds.2022-22514">https://doi.org/10.3168/jds.2022-22514</a></p>
Microbiome, mixotrophic algae, zooplankton, and fish amino acid and phospholipid fatty acid content in terrestrial and plastic carbon treatments
<p>Data includes amino acid (µg AA mg DW<sup>-1</sup>) and phospholipid fatty acid content (µg FA mg DW<sup>-1</sup>) of the microbiome, mixotrophic algae, zooplankton, and fish<em> </em>from the four-trophic level experiment. The experiment included control (no addition), 13.5% <sup>13</sup>C-labelled beech leaves (<em>Fagus sylvatica</em>), 97% <sup>13</sup>C-labelled lignin-hemicellulose extracted from wheat (<em>Triticum aestivum</em>, ~80% lignin, 13% hemicellulose), and 99% <sup>13</sup>C-labelled polystyrene (microplastic). Incubation time in humic lake water was 14 days in the control, leaf, and lignin experiment but 56 days for polystyrene, which after mixotrophic algae (<em>Cryptomonas </em>sp.) was introduced to the bottles. In the next step, herbivorous zooplankton (<em>Daphnia magna</em>) consumed microbes, mixotrophic algae, and particles for five days which after they were used as the diet to zebrafish (<em>Danio rerio</em>) during a five-day experiment.</p>
Perturbations in fatty acid metabolism and collagen production infer pathogenicity of a novel MBTPS2 variant in Osteogenesis imperfecta
<p>(i) PCR-sequencing: Chromatograms were generated by PCR-sequencing of a region within exon 4 of MBTPS2 using DNA extracted from a healthy control and the proband's fibroblasts</p> <p>(ii) Gene expression was quantified by qRT-PCR using RNA extracted from fibroblasts. Transcript levels of each gene of interest was calculated using the 2^-deltaCt method with normalization to the average Ct values of endogenous control genes GAPDH, IPO8 and TBP.</p> <p>(iii) Cellular fatty acid content was quantified by GC-MS/MS. Each table represents one technical replicate. Absolute values of each fatty acid are listed in the tables; relative ratios of various fatty acids are calculated at the bottom of each table. </p> <p>(iv) Immunocytochemistry images of ECM proteins (COL1 = collagen type I; COL4 = collagen type IV; COL5 = collagen type V; a2b1 = integrin a2b1) and binding of collagen-hybridising peptide (R-CHP).</p>
Dataset for the article "Beyond PLFA: Concurrent extraction of neutral and glycolipid fatty acids provides new insights into soil microbial communities"
<p>The following are data and code used for statistical analysis and figure plotting in the manuscript</p> <p>Gorka et al. (2023) "Beyond PLFA: Concurrent extraction of neutral and glycolipid fatty acids provides new insights into soil microbial communities", Soil Biology and Biochemistry</p> <p>It contains the following files:</p> <p>1. Pure lipid standard data</p> <ul> <li>Total ion chromatogram (TIC) area data (<strong>area.csv</strong>)</li> <li>Assignment of lipids that the measured fatty acids originate from (<strong>LipidClass.csv</strong>)</li> <li>An R script reproducing the calculations and plotting for Fig. 2 and Fig. S1 (<strong>pure_lipids.R</strong>)</li> </ul> <p>2. Microbial pure culture fatty acid data data</p> <ul> <li>TIC area data of the PLFA, NLFA, and GLFA data from pure culture extracts (<strong>area.csv</strong>)</li> <li>Files needed for calculating the data and assigning taxonomic groups in the R code (<strong>weights.csv</strong>, <strong>C_atoms.csv</strong>, <strong>species_list.csv</strong>)</li> <li>An R script reproducing the calculations and plotting for Fig. 3, Fig. 4, Fig. S2, and Fig. S3 (<strong>pure_cultures.R</strong>)</li> </ul> <p>3. Soil fatty acid data</p> <ul> <li>Absolute abundance data in nmol C g<sup>-1</sup> dry weight of the PLFA, NLFA, and GLFA data from soil extracts (<strong>nmolC.csv</strong>)</li> <li>Taxonomic group assignments of fatty acids needed to run the R code (<strong>phylum.csv</strong>)</li> <li>An R script reproducing the calculations and plotting for Fig. 5, and Fig. S4 (<strong>soil.R</strong>)</li> </ul>
Proximate biochemical composition and Fatty acid profile of IMTA produced new and innovative products
<p>Proximate biochemical composition and Fatty acid profile of IMTA produced new and innovative products. Sea cucumbers (H. sanctori), Abalone (H. tuberculata), Scallops (Chlamys varia), Oysters (Ostrea edulis) and macroalgae Ulva spp, Gracilaria cornea, Alaria esculenta, Palmaria palmata, Saccharina latissima.</p>
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Allen Brain Atlas
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International Brain Laboratory public data
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OpenNeuro
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