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1,501 results for “fatty acid”
Figure 1 in Variations in trophic niches of generalist predators with plant community composition as indicated by stable isotopes and fatty acids
Figure 1. Variations in δ15N and δ13C signatures of Harpalus rufipes (black) and Trochosa ruricola (pink) across the study site of the Jena Experiment.
Figure 3 in Variations in trophic niches of generalist predators with plant community composition as indicated by stable isotopes and fatty acids
Figure 3. Principal components analysis of the relative abundance (mol %, logit-transformed) of individual NLFAs of Harpalus rufipes using flooding index (FI), plant species richness (SR), plant functional group richness (FG), presence of grasses (Gr), legumes (Leg), small herbs (SH) and tall herbs (TH) as supplementary variables.
Figure 6 in Variations in trophic niches of generalist predators with plant community composition as indicated by stable isotopes and fatty acids
Figure 6. Principal components analysis of the relative abundance (mol%, logit- transformed) of individual PLFAs of soil microorganisms using flooding index (FI), plant species richness (SR), plant functional group richness (FG), presence of grasses (Gr), legumes (Leg), small herbs (SH) and tall herbs (TH) as supplementary variables.
Figure 2 in Variations in trophic niches of generalist predators with plant community composition as indicated by stable isotopes and fatty acids
Figure 2. Variations in δ15N signatures of Harpalus rufipes (P <0.01, R2 = 0.11) as affected by plant species richness (log-transformed).
Faa1 membrane binding drives positive feedback in autophagosome biogenesis via fatty acid activation
<p>Autophagy serves as a stress response pathway by mediating the degradation of cellular material within lysosomes. In autophagy, this material is encapsulated in double-membrane vesicles termed autophagosomes, which form from precursors referred to as phagophores. Phagophores grow by lipid influx from the endoplasmic reticulum into Atg9-positive compartments and local lipid synthesis provides lipids for their expansion. How phagophore nucleation and expansion are coordinated with lipid synthesis is unclear. Here, we show that Faa1, an enzyme activating fatty acids, is recruited to Atg9 vesicles by directly binding to negatively charged membranes with a preference for phosphoinositides such as PI3P and PI4P. We define the membrane-binding surface of Faa1 and show that its direct interaction with the membrane is required for its recruitment to phagophores. Furthermore, the physiological localization of Faa1 is key for its efficient catalysis and promotes phagophore expansion. Our results suggest a positive feedback loop coupling phagophore nucleation and expansion to lipid synthesis.</p>
Defining fatty acids changes linked to rumen development, weaning and growth within Holstein-Friesian heifers
<p>After birth, as effectively monogastric animals, calves undergo substantial physiological changes to become ruminants by 3 months of age and reach sexual maturity at approximately 15 months of age. Herein, we assess longitudinal metabolomic changes in Holstein-Friesian (HF) heifers from birth until sexual maturity during this developmental process. Sera from 20 healthy, HF heifers were sampled biweekly from 2 weeks of age until 13 months of age and then monthly until 19 months of age. Sera were assessed using flow infusion electrospray high resolution mass spectrometry (FIE-HRMS) on a Q Exactive hybrid quadrupole-Orbitrap mass spectrometer for high throughput, sensitive, non-targeted metabolite fingerprinting. Partial least squares-discriminate analysis (PLS-DA) and unsupervised hierarchical clustering analysis (HCA) of the derived metabolomes indicated changes detectable in heifers’ sera over time. Time series analyses identified 30 metabolites that could be related to rumen development and weaning at ~ 3 months of age. Further time series analysis identified 40 metabolites that could be correlated to growth. These findings highlight the role of acetic acid and 3-PP within rumen development and growth, suggest that weaning induces elevated levels of fatty acyls in response to a post-weaning stress induced innate immune response and demonstrate the utilisation of fatty acyls in growth. The identified metabolites offer serum metabolites which could inform the nutrition and healthy development of heifers</p>
Gene expression plasticity, genetic variation and fatty acid remodelling in divergent populations of a tropical bivalve species: lipid profiles
<p><span>Ocean warming challenges marine organisms' resilience, especially for species experiencing temperatures close to their upper thermal limits. A potential increase in thermal tolerance might significantly reduce the risk of population decline, which is intrinsically linked to variability in local habitat temperatures.</span></p> <p><span>Our goal was to assess the plastic and genetic potential of response to elevated temperatures in a tropical bivalve model, <em>Pinctada margaritifera</em>. We benefit from two ecotypes for which local environmental conditions are characterized by either large diurnal variations in the tide-pools (Marquesas archipelago) or lower mean temperature with stable to moderate seasonal variations (Gambier archipelago).</span><br><br><span>We explored the physiological basis of individual responses to elevated temperature<em>, </em>genetic divergence as well as plasticity and acclimation by combining lipidomic and transcriptomic approaches.</span><br><br><span>We show that <em>P. margaritifera</em> has certain capacities to adjust to long-term elevated temperatures that was thus far largely underestimated. Genetic variation across populations overlaps with gene expression and involves the mitochondrial respiration machinery, a central physiological process that contributes to species thermal sensitivity and their distribution ranges.</span><br><br><span>Our results present evidence for acclimation potential in <em>P. margaritifera</em> and urge for longer term studies to assess populations resilience in face of climate change.</span></p>
Code and data from: Experiential legacies of early-life dietary polyunsaturated fatty acid (PUFA) content on juvenile Walleye: Potential impacts from climate change
<p>Climate-induced shifts in plankton blooms may alter fish recruitment by affecting the fatty acid composition of early-life diets and corresponding performance. Early-life nutrition may immediately affect survival but may also have a lingering influence on size and growth via experiential legacies. We explored the short- and longer-term performance consequences of different concentrations of polyunsaturated fatty acids (PUFA) for juvenile Walleye (<em>Sander vitreus</em>, Mitchill 1818). For the first 10 d of feeding, juveniles were provided <em>Artemia </em>enriched with: oleic acid (low PUFA), high docosahexaenoic acid and high eicosapentaenoic acid (high PUFA), or high PUFA and a form of vitamin E (high PUFA + E). After 10 d, all fish were fed a high-quality diet and reared for an additional 27 d. Juveniles fed either high PUFA diet were 1.15-fold larger (PUFA mean ± SD = 20.0 ± 3.3 mg; PUFA + E = 19.8 ± 3.3 mg) than those fed the low PUFA (17.3 ± 2.8 mg) diet after 10 d of feeding. After 27 days, juveniles initially fed the high PUFA diet were still 1.10-1.20-fold larger (PUFA = 407.0 ± 61.6 mg; PUFA + E = 422.7 ± 58.7 mg) than those initially fed the low PUFA diet (356.5.0 ± 39.5 mg). Our findings demonstrate that fatty acid composition of juvenile Walleye diets has immediate and lingering size effects. As changes in climate continue to alter lower trophic levels, fish management and conservation may need to consider short- and long-term effects of temporal or spatial differences in early-life diet quality.</p>
Data archive: Trophic structure of cold-water coral communities revealed from the analysis of tissue isotopes and fatty acid composition
<p>Data belonging to the paper: </p> <p>Dick van Oevelen, Gerard C. A. Duineveld, Marc S. S. Lavaleye, Tina Kutti and Karline Soetaert (2017) Trophic structure of cold-water coral communities revealed from the analysis of 55 tissue isotopes and fatty acid composition. Marine Biology Research, DOI: https://doi.org/10.1080/17451000.2017.1398404</p> <p>Abstract:</p> <p>The trophic structure of cold-water coral reef communities at two contrasting locations, the 800-<br> m deep Belgica Mounds (Irish margin) and 300-m deep Træna reefs (Norwegian Shelf), was<br> investigated using stable isotope (δ13C and δ15N) and fatty-acid composition analysis. A<br> broad range of specimens, with emphasis on (commercial) fish species, and organic matter<br> sources were sampled using a variety of tools. Irrespective of the environmental and<br> geographical setting, the δ15N values indicated that the food web encompasses roughly 1.5<br> to 3 trophic levels. Mobile echinoderms, i.e. sea urchins and sea stars, had highest δ15N<br> values, indicative of a high trophic position in the food web. The fraction of bacterial fatty<br> acids in reef fauna was generally low (<5%), indicating that enhanced bacterial production in<br> the water column through seafloor seepage of nutrients (‘hydraulic theory’) does not form a<br> significant energy pathway into the food web. The high fraction of algal and essential fatty<br> acids in reef fauna and fish at both locations indicates a close coupling with surface<br> productivity, but the transport mechanism depends on the hydrographic setting. At Træna,<br> Calanus copepods and euphausiids form an additional link between primary production and<br> fish, which is largely absent at Belgica Mounds. At Belgica Mounds, the reef community is<br> primarily supported by phytodetritus, as evidenced by the high contribution of algal fatty<br> acids in faunal tissue and seasonal chlorophyll a deposition and marine snow at the reef. The<br> environmental setting of cold-water coral reefs influences the structure of the associated<br> food web.</p>
Data from: Fatty acid composition as a function of latitude in barnacle cyprid larvae
<p>In this study, we investigated the fatty acid composition of the non-feeding stage of barnacle larvae (cyprids) using an integrative (larvae–environment) and comparative (latitudinal) approach. We measured fatty acids in the pelagic particulate matter and cyprids from <em>Chthamalus bisinuatus</em>, <em>C. proteus</em>, and <em>Semibalanus</em> <em>balanoides</em> from tropical to polar (Arctic) latitudes to identify potential food sources during the feeding larval stages (nauplius) that precede the cyprids and to ascertain larval capacity to integrate neutral (energetic) and polar (structural) fatty acids. </p> <p>Here we provide the complete dataset of all fatty acids detected both in i) the total particulate matter (TPM) present in the water column, and ii) the cyprid larvae of the different barnacle species. This could be useful in comparing data with future studies investigating fatty acid trophic markers in nearshore habitats. Raw data of biophysical paramateres includes cyprid i) size, ii) supply and (iii) settlement, as well as temperature collected using waterproof loggers (HOBO Pendant® Temperature/Light 64K).</p> <p>Image provided corresponds to the cyprid of the acorn barnacle <em>Semibalanus balanoides</em>, showcasing multiple lipid droplets, ie., the cyprid's main lipid storage organelles that store fat in the form of neutral lipids.</p> <p> </p>
Metadata of the study HMGCR activity is essential for mitochondrial β-oxidation of fatty acids to prevent lethal accumulation of long-chain acylcarnitines in the mouse liver
<p>Metadata of the study "HMGCR activity is essential for mitochondrial β-oxidation of fatty acids to prevent lethal accumulation of long-chain acylcarnitines in the mouse liver" published in Br J Pharmacol 2024. Apr 19. doi: 10.1111/bph.16363.</p>
Fig. 3 in An Effectiveness Of Artemia Nauplii Enrichment With Polyunsaturated Fatty Acids Using A Supplement Easy Dha Selco
Fig. 3. Lipase (А) та α-amylase (B) activities in Artemia nauplii at the different schemes of bioencapsulation with Easy DHA Selco.
Fig. 2 in An Effectiveness Of Artemia Nauplii Enrichment With Polyunsaturated Fatty Acids Using A Supplement Easy Dha Selco
Fig. 2. Total proteolytic activity in Artemia nauplii at the different pH during bioencapsulation with Easy DHA Selco (A – pH 4.8; B – pH 7.4; C – pH 9.0).
Fig. 1 in Characterization of the ovary fatty acids composition of Rhamdia quelen (Quoy & Gaimard) (Teleostei: Siluriformes), throughout their reproductive cycle
Fig. 1. Adult Rhamdia quelen sampling points location in the upper rio Uruguay. Geographical location of the points: rio Pelotinhas (PH: 28º09'41.1"S 50º26'34.3"W), mouth of rio Pelotinhas with rio Pelotas (MP: 28º30.0'32.1" S 50º56'40.9'' W), rio Pelotas BP: 28º12.0'49.7''S 50º45.0'22.6''W) and rio Vacas Gordas (VG: 28º1.0'15.5''S 46º57'1.0''W).
Fig.2. Relationship between unsaturated and saturated1 in Characterization of the ovary fatty acids composition of Rhamdia quelen (Quoy & Gaimard) (Teleostei: Siluriformes), throughout their reproductive cycle
Fig.2. Relationship between unsaturated and saturated1fatty acids in Rhamdia quelen ovaries collected from natural environment and grouped according to their gonadal maturation stage. UFA/SFA = (monounsaturated fatty acids + polyunsaturated fatty acids)/ saturated fatty acids.
Figure 5 in Phenolic compound and fatty acid properties of some microalgae species isolated from Erbil City
Figure 5. Scatterplot matrix shows the correlation between palmitic acid, stearic acid, oleic acid and linoleic acid in a- Spirogyra sp. b- Spirulina sp. c- Chara sp. d- Chlorella sp.
Figure 3 in Phenolic compound and fatty acid properties of some microalgae species isolated from Erbil City
Figure 3. The distribution of DPPH and total phenol shows the same across categories of Treatment, Independent-Samples KruskalWallis Test and rejects the hypothesis on the base of Null Hypothesis with highly significant levels. A- Spirogyra sp., b-Spirulina sp. c- Chlorell sp. a d- Chara sp.
Figure 1 in Phenolic compound and fatty acid properties of some microalgae species isolated from Erbil City
Figure 1. Morphology of Algal genera isolated from Erbil City (a-Spirogyra, b-Spirulina, C-Chlorella d- Chara).
Fig. 2 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. 2. (a) The phylogenetic tree showing the stranded baleen whale (Baleen whale KP/Sabah/02082012) clustered together with the fin whale Balaenoptera physalus (U13103, Z18633 and X61145). (b) The phylogenetic analysis of the cytochrome b gene sequence indicating that the stranded fin whale (Baleen whale KP/Sabah/02082012) is closely related to the specimen of fin whales from the southern hemisphere with accession number KC572845, which represents Balaenoptera physalus quoi.
Fig. 1 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. 1. Stranding site (red-filled triangle) of the fin whale at the Sitompok River (Lat. 05°34'672"N; Long.115°39'710"E) near Kuala Penyu (KP), a coastal town overlooking the South China Sea on the western shores of Sabah (Borneo, Malaysia) (inset map). The approximate location of the sighting of possible fin whales reported by De Boer (2000) is marked with a blue-filled circle. The distribution ranges of rorquals species, including fin whales, in the Philippine waters reported by Slijper et al. (1964) and Acebes (2014) are marked with green-filled circles. The locations of fin whales' migration ranges in Australian waters according to Aulich et al. (2019) are shown using red-filled circles. The stranding site of the unconfirmed fin whale species at Pulau Sugi (Junge 1950) is indicated by a yellow-filled circle.
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Allen Brain Atlas
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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.
OpenNeuro
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