AIMC Topic: Ascomycota

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From Nontargeted to Targeted Analysis: Feature Selection in the Differentiation of Truffle Species ( spp.) Using H NMR Spectroscopy and Support Vector Machine.

Journal of agricultural and food chemistry Nov 7, 2023
The price of different truffle types varies according to their culinary value, sometimes by more than a factor of 10. Nonprofessionals can hardly distinguish visually the species within the white or black truffles, making the possibility of food frau...
Support Vector Machine Ascomycota
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Multi-batch single-cell comparative atlas construction by deep learning disentanglement.

Nature communications Jul 12, 2023
Cell state atlases constructed through single-cell RNA-seq and ATAC-seq analysis are powerful tools for analyzing the effects of genetic and drug treatment-induced perturbations on complex cell systems. Comparative analysis of such atlases can yield ...
Ascomycota Deep Learning Chromatin Immunoprecipitation Sequencing Biological Assay Embryonic Development
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Modeling risk of Sclerotinia sclerotiorum-induced disease development on canola and dry bean using machine learning algorithms.

Scientific reports Jan 17, 2022
Diseases caused by the fungus Sclerotinia sclerotiorum are managed mainly through fungicide applications in canola and dry bean. Accurate estimation of the risk of disease development on these crops could help farmers make spraying decisions. Five ma...
Crops, Agricultural Plant Diseases Ascomycota Brassica napus Logistic Models Fungicides, Industrial Fabaceae Neural Networks, Computer Risk Assessment Agriculture Machine Learning Temperature
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Machine-learning predicts genomic determinants of meiosis-driven structural variation in a eukaryotic pathogen.

Nature communications Jun 10, 2021
Species harbor extensive structural variation underpinning recent adaptive evolution. However, the causality between genomic features and the induction of new rearrangements is poorly established. Here, we analyze a global set of telomere-to-telomere...
Phylogeny Genome-Wide Association Study Genomics Polymorphism, Single Nucleotide Machine Learning Computer Simulation Polymorphism, Genetic Ascomycota Pedigree Meiosis Models, Genetic Evolution, Molecular Genetic Variation Genes, Duplicate Chromosomes Sequence Inversion Eukaryota Retroelements Arabidopsis Genome Crossing Over, Genetic INDEL Mutation
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Detachment of the remora suckerfish disc: kinematics and a bio-inspired robotic model.

Bioinspiration & biomimetics Aug 21, 2020
Remora suckerfish can attach to a wide diversity of marine hosts, however, their detachment mechanism remains poorly understood. Through analyzing high-speed videos, we found that the detachment of the live remora (Echeneis naucrates) is a rapid beha...
Adhesives Surface Properties Stress, Mechanical Suction Hydrodynamics Robotics Friction Computer Simulation Perciformes Biomechanical Phenomena Behavior, Animal Fishes Animals Ascomycota Biomimetics
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Dew point temperature affects ascospore release of allergenic genus Leptosphaeria.

International journal of biometeorology Jan 27, 2018
The genus Leptosphaeria contains numerous fungi that cause the symptoms of asthma and also parasitize wild and crop plants. In search of a robust and universal forecast model, the ascospore concentration in air was measured and weather data recorded ...
Europe Temperature Air Pollutants Cities Allergens Neural Networks, Computer Models, Theoretical Air Microbiology Forecasting Spores, Fungal Environmental Monitoring Microclimate Ascomycota
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Structures and antipathogenic fungi activities of flavonoids from pathogen-infected Astragalus adsurgens.

Natural product research Dec 20, 2017
Healthy Astragalus adsurgens is a highly palatable forage widely cultivated in arid areas of north China, while pathogen- (Embellisia asttrgali ) infected A. adsurgens is poisonous forage and often causes disastrous livestock losses. A phytochemical ...
Plant Diseases Astragalus Plant Ascomycota Phytochemicals Molecular Structure China Fungicides, Industrial Flavonoids Fusarium
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Predicting Ascospore Release of Monilinia vaccinii-corymbosi of Blueberry with Machine Learning.

Phytopathology Sep 15, 2017
Mummy berry, caused by Monilinia vaccinii-corymbosi, causes economic losses of highbush blueberry in the U.S. Pacific Northwest (PNW). Apothecia develop from mummified berries overwintering on soil surfaces and produce ascospores that infect tissue e...
Spores, Fungal Ascomycota Machine Learning Models, Biological Blueberry Plants
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Investigating the antifungal activity and mechanism of a microbial pesticide Shenqinmycin against Phoma sp.

Pesticide biochemistry and physiology Aug 30, 2017
Tea white scab (TWS) is a major disease affecting tea trees in mid-elevation regions and often occurs during rainy seasons with low temperatures. This disease is caused by the fungal pathogen Phoma sp. TWS can infect young stems, tender leaves, and t...
Antifungal Agents Ascomycota Chromatography, Liquid Tandem Mass Spectrometry Gene Expression Regulation, Fungal Camellia sinensis Fungal Proteins Nanotechnology Genes, Fungal Oxidation-Reduction Microbial Sensitivity Tests Down-Regulation Energy Metabolism Phenazines RNA, Messenger Up-Regulation Plant Structures Plant Diseases Culture Media Homeostasis Mycelium
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Automated Identification of Northern Leaf Blight-Infected Maize Plants from Field Imagery Using Deep Learning.

Phytopathology Aug 24, 2017
Northern leaf blight (NLB) can cause severe yield loss in maize; however, scouting large areas to accurately diagnose the disease is time consuming and difficult. We demonstrate a system capable of automatically identifying NLB lesions in field-acqui...
Plant Diseases Automation Ascomycota Machine Learning Image Processing, Computer-Assisted Plant Leaves Zea mays
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