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In vitro-Studien zum genotoxischen Potential und zum Metabolismus von Mykotoxinen mit Resorcylsäurelakton- und Perylenchinon-Struktur

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ISBN: 9783731501923 Year: Pages: XVIII, 237 p. DOI: 10.5445/KSP/1000039461 Language: GERMAN
Publisher: KIT Scientific Publishing
Subject: Biology
Added to DOAB on : 2019-07-30 20:02:01
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The contamination of food and feed with mycotoxins represents a worldwide problem. In order to conduct a risk assessment, further studies on the level of contamination and the toxicity of the mycotoxins are needed. The objective of the present work was to investigate the genotoxicity and the in vitro metabolism of zearalenone as well as of Alternaria toxins with a perylene quinone structure. New insights for the risk assessment of these mycotoxins were obtained.

Management of Fusarium Species and their Mycotoxins in Cereal Food and Feed

Authors: --- ---
Book Series: Frontiers Research Topics ISSN: 16648714 ISBN: 9782889452941 Year: Pages: 259 DOI: 10.3389/978-2-88945-294-1 Language: English
Publisher: Frontiers Media SA
Subject: Science (General) --- Microbiology
Added to DOAB on : 2018-02-27 16:16:44
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Health and safety of food and feed are the most important criteria for their quality. The quality of feed is in turn important for animal health, the environment and for the safety of food from animal origin. Fungi belonging to the Fusarium genus are widespread in crops causing plant diseases and producing toxic metabolites. Fusarium species can colonize plants during their growth on the field and cause serious damage in terms of yield and quality of harvested grains. One of the most important fungal diseases of wheat and other cereals in the world is Fusarium head blight caused by the fungal pathogens Fusarium graminearum and Fusarium culmorum and others. In addition, these fungi produce mycotoxins, contaminating food and feed. The most important Fusarium mycotoxins include trichothecenes, zearalenone and fumonisins, primarily because of their prevalence, but also because of the toxic effect to humans and animals. However, these fungi produce also other mycotoxins such as moniliformin, beauvericin, enniantin or fusarins. Food and feed can be contaminated with mycotoxins at various stages in the production chain resulting in serious problems with health, safety and economic losses. It is estimated that 25% of the crop in the world each year are contaminated with these metabolites, the problem affects both industrialized countries and developing countries. The aim of this Research Topic of Frontiers in Microbiology is to publish state of the art research about occurrence and genomics of Fusarium species and their mycotoxins in the whole food and feed chain starting from the crops as well as implications for health and economic aspects. This research topic highlights the current knowledge on the plant diseases caused by Fusarium fungi as well as all aspects of Fusarium mycotoxin contamination of crops, food and feed, taking into account decontamination methods.

Fungal Pigments

Authors: --- ---
ISBN: 9783038427872 9783038427889 Year: Pages: VI, 134 Language: English
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Microbiology
Added to DOAB on : 2018-04-27 16:14:38
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With the impact of globalization in research trends, the search for healthier life styles, the increasing public demand for natural, organic, and ‘clean labelled’ products, as well as the growing global market for natural colorants in economically fast-growing countries all over the world, filamentous fungi started to be investigated as readily available sources of chemically diverse pigments and colorants. For all of these reasons, this special issue of Journal of Fungi will highlight exciting findings, which may pave the way for alternative and/or additional biotechnological processes for industrial applications of fungal pigments and colorants. Research papers and reviews about the fungal biodiversity from terrestrial and marine origins are welcome, bringing new elements about fungi as potential sources of well-known carotenoid pigments (e.g. beta-carotene, lycopene) and other specific pigmented polyketide molecules, such as Monascus and Monascus-like azaphilones, which are yet not known to be biosynthesized by any other organisms like higher plants. These polyketide pigments also include promising, and unexplored hydroxy-anthraquinoid colorants from Ascomycetous species. The investigation of biosynthetic pathways of the carotenoids and polyketide-derivative colored molecules (i.e. azaphilones, hydroxyanthraquinones, and naphthoquinones) in pigment-producing fungal species could bring some articles. Contributions about alternative greener extraction processes of the fungal colored compounds, along with current industrial applications, description of their limits and further opportunities for the use of fungal pigments in beverage, food, pharmaceutical, cosmetic, textile and painting areas will also be part of this special issue.

Fungal Pathogenesis in Humans: The Growing Threat

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ISBN: 9783038979005 / 9783038979012 Year: Pages: 232 DOI: 10.3390/books978-3-03897-901-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Science (General) --- Biology --- Genetics
Added to DOAB on : 2019-06-26 08:44:06
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Cancer survival rates and successful organ transplantation in patients continues to increase due to improvements in early diagnosis and treatments. Since immuno-suppressive therapies are frequently used, the mortality rate due to secondary infections has become an ever-increasing problem. Opportunistic fungal infections are probably the deadliest threat to these patients due to their difficult early diagnosis, the limited effect of antifungal drugs and the appearance of resistances. In recent years, a considerable effort has been devoted to investigating the role of many virulence traits in the pathogenic outcome of fungal infections. New virulence factors (hypoxia adaptation, CO2 sensing, pH regulation, micronutrient acquisition, secondary metabolites, immunity regulators, etc.) have been reported and their molecular mechanisms of action are being thoroughly investigated. The recent application of gene-editing technologies such as CRISPr-Cas9, has opened a whole new window to the discovery of new fungal virulence factors. Accurate fungal genotyping, Next Generation Sequencing and RNAseq approaches will undoubtedly provide new clues to interpret the plethora of molecular interactions controlling these complex systems. Unraveling their intimate regulatory details will provide insights for a more target-focused search or a rational design of more specific antifungal agents. This Special Issue is show significant discoveries, proofs of concept of new theories or relevant observations in fungal pathogenesis and its regulation.

Promising Detoxification Strategies to Mitigate Mycotoxins in Food and Feed

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ISBN: 9783038970286 / 9783038970279 Year: Pages: 306 DOI: 10.3390/books978-3-03897-027-9 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Public Health
Added to DOAB on : 2019-08-28 11:21:28
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This book is a printed edition of the Special Issue Promising Detoxification Strategies to Mitigate Mycotoxins in Food and Feed that was published in Toxins

Keywords

deoxynivalenol --- epimer --- polarity --- Tri101 --- molecular --- interactions --- spores of Ganoderma lucidum --- oxidative stress --- aflatoxins --- antioxidant capability --- mycotoxin --- patulin --- biodegradation --- Pichia caribbica --- proteomics --- intracellular and extracellular enzymes --- Bacillus licheniformis CK1 --- zearalenone (ZEA) --- serum hormones --- estrogen receptor (ER) --- post-weaning female piglets --- curcumin --- aflatoxin B1 --- CYP450 --- AFBO–DNA --- chicks --- aflatoxin B1 --- photodegradation product --- TQEF-MS/MS --- cell viability --- furan rings --- mycotoxin --- toxigenic Fusarium --- biological control --- Trichoderma --- modified mycotoxin --- aflatoxin B1 --- aflatoxin biodegradation preparation --- Bacillus subtilis ANSB060 --- ameliorating effects --- growth performance --- antioxidant function --- residue --- aflatoxins --- biotransformation --- enzymatic detoxification --- laccase --- mild technologies --- food safety --- mycotoxins mitigation --- aflatoxin B1 --- aflatoxin-degrading enzyme --- biodegradation --- Bacillus shackletonii --- purification --- Sporobolomyces sp. IAM 13481 --- microbial patulin degradation --- desoxypatulinic acid --- ascladiol --- aflatoxins --- Aspergillus flavus --- Corylus avellana --- fatty acids --- thermal treatment --- Aflatoxin B1 --- Aspergillus flavus --- hyssop --- inhibition --- oxidative stress --- DBD --- atmospheric pressure --- low temperature plasma --- mycotoxins --- degradation --- maize --- aflatoxins --- neutral electrolyzed water --- detoxification --- turkey --- mycotoxins --- biotransformation --- degradation --- enzymes --- application --- mycotoxin --- detoxification --- biodegradation --- biotransformation --- enzyme --- microorganism identification --- mycotoxin --- trichothecene --- deoxynivalenol --- bioprospecting --- detoxification --- Fusarium --- cold atmospheric pressure plasma technology --- mycotoxins --- physical decontamination --- chemical decontamination --- biological decontamination --- patulin --- mycotoxin --- mitigation --- decontamination --- food and beverage --- processing --- n/a

Effects of Mycotoxins on the Intestine

Authors: --- ---
ISBN: 9783038977827 9783038977834 Year: Pages: 262 DOI: 10.3390/books978-3-03897-783-4 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Medicine (General) --- Public Health
Added to DOAB on : 2019-05-09 17:16:14
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Mycotoxins are secondary metabolites produced by several fungal species. They can contaminate human food and animal feed, and have been a threat for thousands of years. The gastrointestinal tract is the first target when ingesting mycotoxin-contaminated food or feed. As unlikely as it sounds, the investigations concerning the effects of mycotoxins on the intestine are still in their early stages. This book gathers the most recent advances related to the characterization of the intestinal toxicity of mycotoxins. Substantial data assembled on the damage caused to a number of histological structures and functions of the intestine remove any remaining doubt about this organ being a primary target for the toxicity of mycotoxins. An interesting overview of the detrimental effects of mycotoxins on the gut-hosted microbiota—now regarded as a fully-fledged organ associated with the gut—is also given. Finally, outstanding contributions in this book address questions relating to the suitability of current regulations to protect against alterations of the intestine, and to the efficacy assessment of new detoxification strategies using the intestinal toxicity of mycotoxins as a relevant endpoint.

Keywords

mice --- aflatoxin B1 --- intestinal bacterial flora --- response --- Clostridium sp. WJ06 --- deoxynivalenol --- pig --- intestinal morphology --- microbial diversity --- aflatoxin M1 --- ochratoxin A --- intestinal epithelial cells --- tight junction --- permeability --- ileum --- jejunum --- deoxynivalenol --- piglet --- contaminated feed --- tight junction --- aflatoxin B1 --- small intestine --- histopathological lesions --- ultrastructural changes --- toll-like receptors --- T-2 toxin --- enteric nervous system --- pig --- vasoactive intestinal polypeptide --- mycotoxins --- zearalenone --- deoxynivalenol --- histology --- ultrastructure --- large intestine --- pig --- Claviceps --- liver --- digestive tract --- mycotoxin --- sclerotia --- ergot alkaloids --- toxicity --- deoxynivalenol --- Saccharomyces cerevisiae boulardii CNCM I-1079 --- intestine --- transcriptome --- inflammation --- oxidative stress --- lipid metabolism --- fumonisin --- microbiota --- pigs --- MiSeq 16S rDNA sequencing --- intestinal microbiota --- hydrogen-rich water --- lactulose --- Fusarium mycotoxins --- piglets --- functional oligosaccharides --- mycotoxins --- swine --- explant technique --- intestinal morphology --- goblet cells --- deoxynivalenol --- zearalenone --- pig --- colon microbiota --- Lactobacillus --- detoxification --- zearalenone --- doses --- caecal water --- genotoxicity --- pre-pubertal gilts --- atlantic salmon --- deoxynivalenol --- feed --- intestine --- PCR --- proliferating cell nuclear antigen --- suppressor of cytokine signaling --- tight junctions --- Zearalenone --- N-acetylcysteine --- SIEC02 cells --- Mitochondrial apoptosis --- n/a

Sensors in Agriculture

Author:
ISBN: 9783038974123 / 9783038974130 Year: Pages: 346 DOI: 10.3390/books978-3-03897-413-0 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.

Keywords

wireless sensor network (WSN) --- Wi-SUN --- vine --- mandarin orange --- thermal image --- fluorescent measurement --- X-ray fluorescence spectroscopy --- visible and near-infrared reflectance spectroscopy --- heavy metal contamination --- spectral pre-processing --- feature selection --- machine-learning --- LiDAR --- light-beam --- plant localization --- Kinect --- leaf area index --- radiative transfer model --- neural networks --- GF-1 satellite --- wide field view --- big data --- geo-information --- plant phenotyping --- grapevine breeding --- Vitis vinifera --- ambient intelligence --- wireless sensor --- fuzzy logic --- smart irrigation --- virtual organizations of agents --- CIE-Lab --- precision plant protection --- optical sensor --- weed control --- classification --- NIR hyperspectral imaging --- chemometrics analysis --- weeds --- UAS --- RPAS --- one-class --- machine learning --- remote sensing --- geoinformatics --- plant disease --- pest --- deep convolutional neural networks --- real-time processing --- detection --- hyperspectral imaging --- soil type classification --- total nitrogen --- texture features --- data fusion --- Fusarium --- near-infrared --- spectroscopy --- hulled barely --- partial least squares-discriminant analysis --- remote sensing --- precision agriculture --- crop monitoring --- data fusion --- speckle --- diffusion --- scattering --- biological sensing --- apparent soil electrical conductivity --- ECa-directed soil sampling --- electromagnetic induction --- proximal sensor --- response surface sampling --- salt tolerance --- boron tolerance --- soil mapping --- soil salinity --- spatial variability --- irrigation --- energy balance --- water management --- semi-arid regions --- on-line vis-NIR measurement --- total nitrogen --- total carbon --- spiking --- gradient boosted machines --- artificial neural networks --- random forests --- rice --- striped stem-borer --- hyperspectral imaging --- texture feature --- data fusion --- greenhouse --- wireless sensor network --- data fusion --- dynamic weight --- dataset --- agriculture --- obstacle detection --- computer vision --- cameras --- stereo imaging --- thermal imaging --- LiDAR --- radar --- object tracking --- crop area --- remote sensing image classification --- area frame sampling --- stratification --- regression estimator --- agriculture --- meat spoilage --- vegetable oil --- quality assessment --- electronic nose --- electrochemical sensors --- spectral analysis --- feature selection --- genetic algorithms --- classification --- vegetation indices --- vineyard --- diseases --- spatial data --- sensor --- data fusion --- change of support --- geostatistics --- precision agriculture --- management zones --- event detection --- back propagation model --- multivariate water quality parameters --- time-series data --- spatial-temporal model --- connected dominating set --- water supply network --- SS-OCT --- Capsicum annuum --- germination --- salt concentration --- deep learning --- clover-grass --- precision agriculture --- dry matter composition --- proximity sensing --- 3D reconstruction --- RGB-D sensor --- crop inspection platform --- water depth sensors --- soil moisture sensors --- temperature sensors --- rice field monitoring --- irrigation --- silage --- packing density --- moisture content --- compound sensor --- simultaneous measurement --- birth sensor --- bovine embedded hardware --- ambient intelligence --- virtual organizations of agents --- Fusarium --- near infrared --- discrimination --- hulled barely --- naked barley --- wheat --- dielectric probe --- apple shelf-life --- dielectric dispersion --- electronic nose --- pest scouting --- pest management --- gas sensor --- noninvasive detection --- nitrogen --- near infrared sensors --- drying temperature --- SPA-MLR --- PLS --- CARS --- hyperspectral camera --- handheld --- sensor evaluation --- case studies --- soil --- moisture --- sensor --- landslide --- rice leaves --- chromium content --- laser-induced breakdown spectroscopy --- laser wavelength --- preprocessing methods --- agricultural land --- field crops --- land cover --- photograph-grid method --- remote sensing --- data validation and calibration --- mobile app --- wireless sensor networks (WSN) --- energy efficiency --- distributed systems --- processing of sensed data --- WSN distribution algorithms --- recognition patterns --- agriculture

Sensors in Agriculture

Author:
ISBN: 9783038977445 / 9783038977452 Year: Pages: 354 DOI: 10.3390/books978-3-03897-745-2 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Subject: Technology (General) --- General and Civil Engineering
Added to DOAB on : 2019-06-26 08:44:06
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Abstract

Agriculture requires technical solutions for increasing production while lessening environmental impact by reducing the application of agro-chemicals and increasing the use of environmentally friendly management practices. A benefit of this is the reduction of production costs. Sensor technologies produce tools to achieve the abovementioned goals. The explosive technological advances and developments in recent years have enormously facilitated the attainment of these objectives, removing many barriers for their implementation, including the reservations expressed by farmers. Precision agriculture and ‘smart farming’ are emerging areas where sensor-based technologies play an important role. Farmers, researchers, and technical manufacturers are joining their efforts to find efficient solutions, improvements in production, and reductions in costs. This book brings together recent research and developments concerning novel sensors and their applications in agriculture. Sensors in agriculture are based on the requirements of farmers, according to the farming operations that need to be addressed.

Keywords

wireless sensor network (WSN) --- Wi-SUN --- vine --- mandarin orange --- thermal image --- fluorescent measurement --- X-ray fluorescence spectroscopy --- visible and near-infrared reflectance spectroscopy --- heavy metal contamination --- spectral pre-processing --- feature selection --- machine-learning --- LiDAR --- light-beam --- plant localization --- Kinect --- leaf area index --- radiative transfer model --- neural networks --- GF-1 satellite --- wide field view --- big data --- geo-information --- plant phenotyping --- grapevine breeding --- Vitis vinifera --- ambient intelligence --- wireless sensor --- fuzzy logic --- smart irrigation --- virtual organizations of agents --- CIE-Lab --- precision plant protection --- optical sensor --- weed control --- classification --- NIR hyperspectral imaging --- chemometrics analysis --- weeds --- UAS --- RPAS --- one-class --- machine learning --- remote sensing --- geoinformatics --- plant disease --- pest --- deep convolutional neural networks --- real-time processing --- detection --- hyperspectral imaging --- soil type classification --- total nitrogen --- texture features --- data fusion --- Fusarium --- near-infrared --- spectroscopy --- hulled barely --- partial least squares-discriminant analysis --- remote sensing --- precision agriculture --- crop monitoring --- data fusion --- speckle --- diffusion --- scattering --- biological sensing --- apparent soil electrical conductivity --- ECa-directed soil sampling --- electromagnetic induction --- proximal sensor --- response surface sampling --- salt tolerance --- boron tolerance --- soil mapping --- soil salinity --- spatial variability --- irrigation --- energy balance --- water management --- semi-arid regions --- on-line vis-NIR measurement --- total nitrogen --- total carbon --- spiking --- gradient boosted machines --- artificial neural networks --- random forests --- rice --- striped stem-borer --- hyperspectral imaging --- texture feature --- data fusion --- greenhouse --- wireless sensor network --- data fusion --- dynamic weight --- dataset --- agriculture --- obstacle detection --- computer vision --- cameras --- stereo imaging --- thermal imaging --- LiDAR --- radar --- object tracking --- crop area --- remote sensing image classification --- area frame sampling --- stratification --- regression estimator --- agriculture --- meat spoilage --- vegetable oil --- quality assessment --- electronic nose --- electrochemical sensors --- spectral analysis --- feature selection --- genetic algorithms --- classification --- vegetation indices --- vineyard --- diseases --- spatial data --- sensor --- data fusion --- change of support --- geostatistics --- precision agriculture --- management zones --- event detection --- back propagation model --- multivariate water quality parameters --- time-series data --- spatial-temporal model --- connected dominating set --- water supply network --- SS-OCT --- Capsicum annuum --- germination --- salt concentration --- deep learning --- clover-grass --- precision agriculture --- dry matter composition --- proximity sensing --- 3D reconstruction --- RGB-D sensor --- crop inspection platform --- water depth sensors --- soil moisture sensors --- temperature sensors --- rice field monitoring --- irrigation --- silage --- packing density --- moisture content --- compound sensor --- simultaneous measurement --- birth sensor --- bovine embedded hardware --- ambient intelligence --- virtual organizations of agents --- Fusarium --- near infrared --- discrimination --- hulled barely --- naked barley --- wheat --- dielectric probe --- apple shelf-life --- dielectric dispersion --- electronic nose --- pest scouting --- pest management --- gas sensor --- noninvasive detection --- nitrogen --- near infrared sensors --- drying temperature --- SPA-MLR --- PLS --- CARS --- hyperspectral camera --- handheld --- sensor evaluation --- case studies --- soil --- moisture --- sensor --- landslide --- rice leaves --- chromium content --- laser-induced breakdown spectroscopy --- laser wavelength --- preprocessing methods --- agricultural land --- field crops --- land cover --- photograph-grid method --- remote sensing --- data validation and calibration --- mobile app --- wireless sensor networks (WSN) --- energy efficiency --- distributed systems --- processing of sensed data --- WSN distribution algorithms --- recognition patterns --- agriculture

Mycoviruses

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ISBN: 9783038979968 / 9783038979975 Year: Pages: 350 DOI: 10.3390/books978-3-03897-997-5 Language: eng
Publisher: MDPI - Multidisciplinary Digital Publishing Institute
Added to DOAB on : 2019-06-26 08:44:06
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A virus (from the Latin word ‘v?rus’ meaning ‘venom’ or ‘poison’) is a microorganism invisible to the naked eye. Viruses can multiply exclusively by entering a cell and using the cell’s resources to create copies of themselves. As the origin of their name suggests, viruses are generally considered dangerous, harmful and often deadly. Some of the most well-studied and widely known viruses, such as HIV and influenza, infect humans. However, viruses can also infect animals, plants and microorganisms, including fungi. Many fungi are medically, ecologically and economically significant, for example, causing diseases to humans, plants and insects or being used in industry to produce bread, cheese, beer and wine. Viruses that infect fungi are called mycoviruses (from the Greek work ‘myco’, meaning ‘fungus’). Mycoviruses do not cause harm to or kill the infected fungus; in contrast, they are ‘friendly’ viruses and we can utilize them to control the growth, pathogenicity and toxin production of fungi. This book describes a range of different mycoviruses and their geographical distribution, transmission and evolution, together with their effects on the fungal hosts and how these are brought about.

Keywords

RNA silencing --- gemycircularvirus --- mycovirus --- antiviral --- dicer --- dsRNA mycoviruses --- multiplex PCR --- Aspergillus fumigatus chrysovirus --- Aspergillus fumigatus partitivirus-1 --- Aspergillus fumigatus tetramycovirus-1. --- Botrytis cinerea --- hypovirus --- fusarivirus --- hypovirulence --- infection cushion --- Botrytis cinerea --- Botrytis cinerea mymonavirus 1 --- Mymonaviridae --- dsRNA virus --- mycovirus --- capsid protein --- capsid structure --- virus evolution --- viral lineage --- ScV-L-A --- PcV --- PsV-F --- RnQV1 --- chrysovirus --- mycovirus --- Aspergillus --- A. fumigatus --- A. nidulans --- A. niger --- A. thermomutatus --- biocontrol --- Saccharomyces paradoxus --- Totiviridae --- dsRNA virus --- killer system --- Trichoderma atroviride --- Mycovirus --- Partitivirus --- Fusarium head blight --- mycovirus --- RNA genome --- mitovirus --- Tymovirales --- Ethiopia --- Sclerotinia minor --- endornavirus --- hypovirulence --- transmissibility --- biological control --- Chalara fraxinea --- Hymenoscyphus pseudoalbidus --- ash dieback --- Narnaviridae --- evolution --- invasive species --- horizontal virus transmission --- Brunchorstia pinea --- conifers --- mycovirus --- dsRNA --- ssRNA --- phylogeny --- evolution --- mycovirus --- Beauveria bassiana --- partitivirus --- victorivirus --- polymycovirus --- selection pressure --- recombination --- transmission --- mycovirus --- populations study --- Cryphonectria parasitica --- chestnut blight --- Castanea sativa --- biological control --- Mycovirus --- rice blast fungus --- Magnaporthe oryzae. chrysovirus 1 --- double-stranded RNA virus --- hypovirulence --- Rhizoctonia solani AG-1 IA --- mycovirus --- dsRNA --- Alphapartitivirus --- genomic structure analysis --- mycorrhizal fungi --- mycovirus --- mitovirus --- Rhizophagus --- hypovirus --- small RNA --- tRFs --- mycovirus --- fungal viruses --- dsRNA mycoviruses --- hypervirulence --- Leptosphaeria biglobosa quadrivirus --- Botrytis cinerea --- hypovirulence --- partitivirus --- conidiogenesis --- sclerogenesis --- mycovirus --- dsRNA --- sequencing --- killer toxin --- totivirus --- brown rot --- stone fruit --- Prunus --- mycovirus --- hypervirulence --- hypovirulence --- isogenic --- database mining --- Entomophthora --- Entomophthoromycotina --- fungal virus --- mitochondrion --- mycovirus --- virus discovery --- Mitovirus --- Narnaviridae --- n/a

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