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Data from: Genome analyses of fungal pathogens Neonectria faginata and Neonectria coccinea
,Protein predictions using Augustus web for the fungi Neonectria coccinea and N. faginata, as well as protein prediction of closely related species N. ditissima, and Corinectria fuckeliana.,,
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Data From: Two Novel Species of Pestalotiopsis Fungi on Picea and Tsuga from Temperate Forests in the United States
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,In a 2023 survey evaluating conifers with Rosellinia infections, five Pestalotiopsis-like fungal endophytes were isolated from plant samples obtained from Maine, New Hampshire, and Ohio by The Mycology & Nematology Genetic Diversity & Biology Laboratory at the United States Department of Agriculture. The two data sets provided herein contain species-specific base pair substitutions for the partial translation elongation factor 1-alpha gene (TEF). In the alignments, the novel Pestalotiopsis fungi are compared to their most closely related species. The data set can be used as a diagnostic tool to differentiate between the closely related species.,DNA was extracted from fungal samples using the E.Z.N.A HP Plant & Fungal DNA Kit (OMEGA® Bio-Tek, Norcross, GA, USA) following manufacturer’s protocol. The TEF locus was amplified, and reactions were conducted in 25 μL volumes with 12.5 μL of KAPA2G Robust Hotstart® (Kapa Biosystems, Inc., Wilmington, MA, USA), 1.25 μL of the forward and reverse primers at 10 μM, 1-1.75 μL of DNA at 10-20 ng, and 8 μL of molecular grade H2O. Amplifications were performed following the protocol described by Maharachchikumbura et al. (2014) in a C1000 Touch PCR Thermal Cycler (Bio-Rad, Hercules, CA). PCR products were analyzed through capillary electrophoresis with the QIAxcel Advanced System instrument and the QIAxcel ScreenGel software (Qiagen, Hilden, Germany). PCR products were then purified using ExoSAP-IT Cleanup (Affymetrix, Santa Clara, CA) following the manufacturer’s protocol. The BigDye™ 3.1 Terminator Cycle sequencing kit was used to sequence amplicons bi-directionally with the Applied Biosystems SeqStudio Genetic Analyzer (Thermo Fisher Scientific, Waltham, MA, USA).,Resources in this dataset:,,,
Data from: Clarireedia: A new fungal genus comprising four pathogenic species responsible for dollar spot disease of turfgrass
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,Dollar spot is one of the most destructive globally distributed diseases of turfgrass. The identity of the fungus responsible for the disease has been the subject of debate for more than 75 years. These datasets provide the phylogenetic evidence from three nucleotide sequence markers (CaM, ITS and Mcm7) that underlie the establishment of the new fungal genus Clarireedia, which includes four species that cause turfgrass dollar spot disease: Clarireedia homoeocarpa, C. bennettii, C. jacksonii, and C. monteithiana. Datasets include the DNA sequence alignments for the CaM, ITS and Mcm7 markers for exemplar Clarireedia isolates, and the complete combined phylogenetic dataset and phylogenetic tree file.,,
Survey of Neonectria Fungi Associated with American Beech and Co-occurring Woody Plant Species
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Field Methods: Given the exploratory nature of this study, sampling will be conducted opportunistically for a maximum of five sites within the GSMNP. At each site, cankers will be identified and sampled for a maximum of five trees per tree species. At each site, the total number of trees sampled will be limited to fifteen trees to prevent excessive disturbance. For each sampled tree, a total of sixteen microsamples (~1 mm bark plugs) will be taken using a bone marrow biopsy tool, and four bark disks (~1 cm diameter) will be taken using a steel punch. These samples will be stored in a sealed sampling trays then placed in a gasket sealed Tupperware container to prevent introducing the collected samples to new areas. To adhere to and respect the management strategies of the GSMNP, all sites can occur within designated areas of the park known to have BBD if necessary.
Hawaii Island airborne detection of fungal pathogens of Ohia, 2016-2017
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This data release includes metadata and tabular datasets that document (1) Austropuccina, Ceratocystis and Myrtaceae qPCR (quantitative polymerase chain reaction) DNA detections in Passive Environmental Samplers (PES), (2) wind speed, wind gust speed, and wind direction measurements collected at two sites in the Kahuku Unit of Hawai'i Volcanoes National Park (HAVO) where paired PES were located, (3) localities, sites and elevations where PES were located, and (4) Genbank accession numbers for Austropuccinia and Ceratocystis DNA sequences amplified from samples collected in a subset of PES. These raw data were analyzed and reported in the manuscript "Environmental Monitoring for Invasive Fungal Pathogens of ʽŌhiʽa (Metrosideros polymorpha) on the Island of Hawaiʽi".
Hawaii Island airborne detection of fungal pathogens of Ohia, 2016-2017
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This data release includes metadata and tabular datasets that document (1) Austropuccina, Ceratocystis and Myrtaceae qPCR (quantitative polymerase chain reaction) DNA detections in Passive Environmental Samplers (PES), (2) wind speed, wind gust speed, and wind direction measurements collected at two sites in the Kahuku Unit of Hawai'i Volcanoes National Park (HAVO) where paired PES were located, (3) localities, sites and elevations where PES were located, and (4) Genbank accession numbers for Austropuccinia and Ceratocystis DNA sequences amplified from samples collected in a subset of PES. These raw data were analyzed and reported in the manuscript "Environmental Monitoring for Invasive Fungal Pathogens of ʽŌhiʽa (Metrosideros polymorpha) on the Island of Hawaiʽi".
2016 RNA sequencesfor cyanobacterial bloom
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The data contained in this worksheets provide sequences submitted for public access, analysis for RNA sequences generated in this study. The data and analysis are for a manuscript "The trait repertoire enabling cyanobacterial blooms assessed through comparative genomic complexity ". This dataset is associated with the following publication: Cao, H., Y. Shimura, M.M. Steffen, Z. Yang, J. Lu, A. Joel, L. Jenkins, M. Kawachi, Y. Yin, and F. Garcia-Pichel. The Trait Repertoire Enabling Cyanobacteria to Bloom Assessed through Comparative Genomic Complexity and Metatranscriptomics. mBio. American Society for Microbiology, Washington, DC, USA, 11(3): e01155-20, (2020).
Data from: Genomic features of the host-specific fungal biocontrol agent Ramularia crupinae approved for the management of the federally noxious weed Crupina vulgaris
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,Ramularia crupinae is a foliar and stem blighting fungal pathogen specific to the invasive rangeland weed common crupina (Crupina vulgaris). This fungal plant pathogen was recently approved by the Animal and Plant Health Inspection Service (APHIS) as the first biological control agent for the management of common crupina in the western United States. The genome assembly for R. crupinae 00-010 (https://mycocosm.jgi.doe.gov/Ramcr1/Ramcr1.info.html) contains 18 contigs totaling 37.9 Mb, and was annotated using the JGI fungal annotation pipeline. The information contained within this Ag Data Commons dataset provides an updated R. crupinae chromosome-level genome assembly. These data are freely available for research purposes.,Resources in this dataset:,