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52 results for “mycotoxin”

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zenodo44/100

S26 | MYCOTOXINS | List of Mycotoxins from AAFC

<p>This is the collection associated with list S26 MYCOTOXINS on the NORMAN Suspect List Exchange (<a href="https://www.norman-network.com/nds/SLE/">https://www.norman-network.com/nds/SLE/</a>).</p> <p>S26 | MYCOTOXINS |<strong>List of Mycotoxins from AAFC</strong></p> <p>A list of mycotoxins and fungal secondary metabolites provided by Justin Renaud and Mark Sumarah (Agriculture and Agri-Food Canada / Government of Canada).</p> <p>Edits: v0.1.1: removed one InChI in name column (25 Mar 2023).</p>

opencc-by-4.0Jun 2018View details →
zenodo40/100

List of 552 Mycotoxins and associated Smiles and JOELib descriptors

<p>Mycotoxin list containing 552 compounds was created from a literature search. From the compound names, simplified molecular-input line-entry system (Smiles) data were automatically retrieved using the Python module PubChemPy (https://pypi.org/project/PubChemPy/https://pubchempy.readthedocs.io/en/latest/).The Smiles list obtained was used to identify physicochemical indicators for each mycotoxin by the JOELib tools included in the ChemMine platform. These descriptors focus on molecule composition (number of : atoms, halogen atoms, B atoms, Br atoms, Cl atoms, I atoms, F atoms, N atoms, O atoms, P atoms, S atoms, acidic groups, aliphatic OH groups, basic groups, bonds, heavy bonds, heterocycles, hydrophobic groups, NO<sub>2</sub> groups, SO groups, OSO groups, SO<sub>2</sub> groups), molecular structure (molecular weight, geometrical diameter, geometrical radius, geometrical shape coefficient, the calculated Kier Shape for paths with length one, the calculated Kier Shape for paths with length two, the calculated Zagreb Group Index 1, the Zagreb Group Index 2, the fraction of rotatable bonds) and interaction properties (the calculate Polar Surface Area, Octanol/Water partition coefficient (logP), molar refractivity, the number of Hydrogen Bond Acceptors 1, Hydrogen Bond Acceptors 2 , Hydrogen Bond Donors 1 , Hydrogen Bond Donors 2 ).</p> <p>This research was supported by the European Union : Interreg Agritox project EAPA-998-2018.</p>

opencc-by-4.0Feb 2022View details →
dryad40/100

Raw data from: Inter- and intra-specific variation in mycotoxin tolerance: A study of four Drosophila species

<p>Many mycophagous Drosophila species have adapted to tolerate high concentrations of mycotoxins, an ability not reported in any other eukaryotes. Although an association between mycophagy and mycotoxin tolerance has been established in many Drosophila species, the genetic mechanisms of the tolerance are unknown. This study presents the inter- and intraspecific variation in the mycotoxin tolerance trait. We studied the mycotoxin tolerance in four Drosophila species from four separate clades within the immigrans-tripunctata radiation from two distinct locations. The effect of mycotoxin treatment on 20 isofemale lines per species was studied using seven gross phenotypes: survival to pupation, survival to eclosion, development time to pupation and eclosion, thorax length, fecundity, and longevity. We observed interspecific variation among four species, with D. falleni being the most tolerant, followed by D. recens, D. neotestacea, and D. tripunctata, in that order. The results also revealed geographical variation and intraspecific genetic variation in mycotoxin tolerance. This report provides the foundation for further delineating the genetic mechanisms of the mycotoxin tolerance trait.</p>

opencc-zeroJun 2022View details →
zenodo40/100

Fig. 1. A in Agricultural Trichothecene Mycotoxin Contamination Affects The Life-History And Reduced Glutathione Content Of Folsomia Candida Willem (Collembola)

Fig. 1. A relative growth of Folsomia candida on the relation of the contaminated food; significant difference in mean B. Total reproduction of Folsomia candida in the contaminated

opencc-by-4.0Nov 2020View details →
zenodo40/100

Unveiling the substrate-dependent dynamics of mycotoxin production in Fusarium verticillioides using an OSMAC-metabolomics approach

<p>UHPLC-HRMS raw data files from the article : "Unveiling the substrate-dependent dynamics of mycotoxin production in Fusarium verticillioides using an OSMAC-metabolomics approach"</p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Figure 9 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi

Figure 9. Means number of deposited eggs by females of tested mites after 4 days post-exposure to α- and γ-Al2O3 NPs at tested concentrations. Different letters denote to significant differences in means at tested concentrations (Duncan test, P ≤ 0.05).

opencc-by-4.0Jul 2024View details →
zenodo40/100

Figure 12 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi

Figure 12. SEM visualization of α- and γ-Al2O3 NPs aggregation on ventral side of C. mycophagus mite. A = treated female by α-Al2O3 NPs, B = treated female by γ-Al2O3 NPs, C = untreated female.

opencc-by-4.0Jul 2024View details →
zenodo40/100

Figure 7 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi

Figure 7. Females, nymphal and larval mortality (means ± SE) of C. mycophagus mites, subjected to synthesized α- and γ- Al2O3 NPs at different concentrations and exposure time – A. α-Al2O3 NPs; B. γ-Al2O3 NPs. Different letters within the same exposure time are significantly different (Duncan test, P ≤ 0.05).

opencc-by-4.0Jul 2024View details →
zenodo40/100

Figure 5 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi

Figure 5. Females, nymphal and larval mortality (means ± SE) of M. fungivorus mites, subjected to synthesized α- and γ-Al2O3 NPs at different concentrations and exposure time – A. α-Al2O3 NPs; B. γ-Al2O3 NPs. Different letters within the same exposure time are significantly different (Duncan test, P ≤ 0.05).

opencc-by-4.0Jul 2024View details →
zenodo40/100

Figure 14 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi

Figure 14. Mean growth Inhibition (A) and corresponding percentage (B), of F. oxysporum in response to different concentrations of α and γ-Al2O3 NPs after 5 days of growth at 30 °C and 180 rpm in PDB growth medium (Where R2: the relation coefficient and y: the predicted fungal inhibition value at "X" nanoparticles concentration).

opencc-by-4.0Jul 2024View details →
zenodo40/100

Figure 6 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi

Figure 6. Mortality (means ± SE) of M. fungivorus females, nymphs and larvae, concerning α- and γ-Al2O3 NPs at tested concentrations and exposure time.

opencc-by-4.0Jul 2024View details →
zenodo40/100

Figure 10 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi

Figure 10. Females' mortality (means ± SE) of (A) M. fungivorus and (B) C. mycophagus mites subjected to synthesized α and γ-Al2O3 NPs at different concentrations and exposure time. different letters within the same concentrations are significantly different, Duncan test (P ≤ 0.05).

opencc-by-4.0Jul 2024View details →
zenodo40/100

Figure 13 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi

Figure 13. Mean growth Inhibition (A) and corresponding percentage (B) of Aspergillus flavus in response to different concentrations of α- and γ-AL2O3 NPs after five days of growth at 30 ℃ and 180 rpm in PDB growth medium. (Where R2: the relation coefficient and y: the predicted fungal inhibition value at "X" nanoparticles concentration).

opencc-by-4.0Jul 2024View details →
zenodo40/100

Metabotyping of Andean pseudocereals and characterization of emerging mycotoxins

<p>Pseudocereals are best known for three crops derived from the Andes: quinoa (<em>Chenopodium quinoa</em>, Chenopods I), canihua (<em>C. pallidicaule</em>, Chenopods I), and kiwicha (<em>Amaranthus caudatus</em>). Their grains are recognized for their nutritional benefits; however, there is a higher level of polyphenism and the chemical foundation that would rely with such polyphenism has not been thoroughly investigated. Meanwhile, the chemical food safety of pseudocereals remains poorly documented. Here we applied untargeted and targeted metabolomics approach by LC-MS to achieve both: <strong>i</strong>) a comprehensive chemical mapping of pseudocereal samples collected in the Andes to classify them according to their chemotype; <strong>ii</strong>) a quantification of their contents in emerging mycotoxins. An inventory of the fungal community was also realized with the aims to better know the filamentous fungi present in these grains and try to parallel this information with the presence of the molecules produced, especially mycotoxins. Metabotyping permitted to add new insights into the chemotaxonomy of pseudocereals, confirming the previously established phylotranscriptomic clades: Chenopods I (clusters quinoa and canihua), and Amaranthaceae s.s. (cluster kiwicha). Moreover, we report for the first time the presence of mycotoxins in pseudocereals. Sixteen samples of Peru (out of 27) and one sample from France (out of one) were contaminated with Beauvericin, an emerging mycotoxin. There were several mycotoxigenic fungi detected, including <em>Aspergillus sp.</em>, <em>Penicillium sp.</em>, and <em>Alternaria sp.</em>, but not <em>Fusaria</em>.</p>

opencc-by-4.0Jun 2022View details →
dryad40/100

Effects of mycotoxin treatment on fly survival, development time, thorax length, fecundity, and longevity in four mycophagous Drosophila species

<p>Many mycophagous Drosophila species have adapted to tolerate high concentrations of mycotoxins, an ability not reported in any other eukaryotes. Although an association between mycophagy and mycotoxin tolerance has been established in many Drosophila species, the genetic mechanisms of the tolerance are unknown. This study presents the inter- and intraspecific variation in the mycotoxin tolerance trait. We studied the mycotoxin tolerance in four Drosophila species from four separate clades within the immigrans-tripunctata radiation from two distinct locations. The effect of mycotoxin treatment on 20 isofemale lines per species was studied using seven gross phenotypes: survival to pupation, survival to eclosion, development time to pupation and eclosion, thorax length, fecundity, and longevity. We observed interspecific variation among four species, with D. falleni being the most tolerant, followed by D. recens, D. neotestacea, and D. tripunctata, in that order. The results also revealed geographical variation and intraspecific genetic variation in mycotoxin tolerance. This report provides the foundation for further delineating the genetic mechanisms of the mycotoxin tolerance trait.</p>

opencc-zeroJan 2023View details →
dryad40/100

Raw data from: Inter- and intra-specific variation in mycotoxin tolerance: A study of four Drosophila species

Open the record for dataset details and reuse information.

publicJan 2023View details →
dryad40/100

Effects of mycotoxin treatment on fly survival, development time, thorax length, fecundity, and longevity in four mycophagous Drosophila species

Open the record for dataset details and reuse information.

publicJan 2023View details →
zenodo36/100

Effect of using mycotoxin-detoxifying agents in dairy cattle feed on natural whey starter biodiversity

<p><strong>Supplemental Figure S1</strong>: p-values for alpha diversity index in the milk whey microbiota between treatments and controls. The control group for BD1 (ctr_BD1) was taken as reference class in the model.&nbsp;</p>

opencc-by-4.0Jun 2022View details →
zenodo36/100

Figure 2. Energy dispersive X in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi

Figure 2. Energy dispersive X-ray spectroscopy of α - and γ-Al2O3NPs.

opencc-by-4.0Jul 2024View details →
zenodo36/100

Figure 1 in Morphological, optical and thermal properties of α- and γ-aluminum nanoparticles: Assessment of their biological activities against storage mites and mycotoxin producing fungi

Figure 1. Field emission scanning electron microscope (FESEM) of α- and γ-Al2O3NPs.

opencc-by-4.0Jul 2024View details →

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International Brain Laboratory public data

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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