,The Homalodisca vitripennis genome was recently sequenced and annotated as part of the i5k pilot project by the Baylor College of Medicine.,The Glassy-winged sharpshooter, GWSS, (Homalodisca vitripennis) [Hemiptera: Cicadellidae], occurs naturally within the southern United States. Once restricted to the southeastern states, it was accidentally spread across the south into California. The GWSS is a voracious feeder, and can fly long distances, preferring to feed upon cultivated crops, ie. Grapevine, fruit trees, and in the nymphal stages many weeds and grasses. The GWSS is a serious threat to the viticulture industry as the primary vector of the plant-infecting bacterium, Xylella fastidiosa, Xf. The GWSS feeds on a diverse number of plants, during which the bacteria can infect many tree fruit, nut, vine, and woody ornamental crops. Glassy-winged Sharpshooter adults are ½ inch (13mm) long being fairly large for the Sharpshooter leafhopper family of insects. Sharpshooters use an ovipositor to lay eggs inside of the underside of leaves. The Sharpshooter will lay its eggs on almost any plant including cactus. The egg masses are usually composed of 10-20 eggs, but can lay more or as few as 1. Most of the egg masses have a waxy coating of brocosomes around the eggs for protection. The nymphs (5 instars) do not have wings, but develop wing pads in the 5th instar and are generally smaller than the adults, ranging in size from .07 inches (2 mm) to nearly ½ inch (13mm) long. The nymphs have very distinct red eyes. The Sharpshooter can consume about 300 times its own weight in fluids from the xylem vessels of the plants upon which it feeds, thus producing copious amounts of excreta fluid.,This dataset presents the Homalodisca vitripennis genome v1.0. This assembly version is the pre-release version, prior to filtering and quality control by the National Center for Biotechnology Information's GenBank resource (https://www.ncbi.nlm.nih.gov/assembly/GCA_000696855.1). Assembly method details will be available in a forthcoming publication.,NOTE: This gene set is an unstable pre-release (v0.5.3), and was provided to facilitate manual curation and analyses before the official gene set is released. Gene identifiers from this gene set will likely not be maintained.,If you wish to use this dataset, please follow the Baylor College of Medicine's conditions for data use: https://www.hgsc.bcm.edu/bcm-hgsc-conditions-use,

Data in this dataset were collected as a part of a surveillance project for reintroduction of a state endangered species in Indiana. This data was collected in the field by state biologists and sent to the USGS National Wildlife Health Center (NWHC) for testing of four amphibian pathogens, Batrachochytrium dendrobatidis (Bd), Batrachochytrium salamandrivorans (Bs), Ranavirus, and perkinsea. The dataset includes both the field records of the individual amphibians tested and the results for individuals for all four pathogens.

,Wolbachia-infected and uninfected subpopulations of beet leafhoppers, Circulifer tenellus (Baker) (Hemiptera: Cicadellidae), co-occur in the Columbia Basin region of Washington and Oregon. While facultative endosymbionts such as Hamiltonella defensa have demonstrably altered feeding/probing behavior in hemipteran hosts, the behavioral phenotypes conferred by Wolbachia to its insect hosts, including feeding/probing, are largely understudied. We studied the feeding/probing behavior of beet leafhoppers from in-house colonies with and without Wolbachia on plants using electropenetrography, along with corresponding inoculation rates of beet curly top virus (BCTV), a phloem-limited plant pathogen vectored by beet leafhoppers. Insects carrying BCTV with and without Wolbachia were individually recorded for four hours while interacting with a potato plant, and wavelengths annotated following established conventions. Virus inoculation rates and the duration of phloem salivation events did not vary. Wolbachia-infected insects more than tripled the duration of phloem ingestion, but despite this, Wolbachia infection was linked with marginally lower, not enhanced, acquisition. Regardless, results suggest potential for Wolbachia to increase the acquisition rate of other phloem-limited plant pathogens.,

This data release includes sampling location data, the information about sequenced organisms and the SRA accession number for the 16S whole-organism sequencing data for larval aquatic insects, emergent adult insects, and two riparian spiders from Torch Lake and Gratiot Lake (N=3 sites at each Lake). Torch Lake (Houghton County, Keweenaw Peninsula, Michigan, USA) is a Great Lakes Area of Concern (AOC) and a former EPA Superfund Site and owing to a high concentration of copper and other co-occurring metals from historic mining operations, while no mining or processing activity has taken place in the nearby Gratiot Lake basin (Keweenaw County, Keweenaw Peninsula, Michigan, USA).

,The ascomycete fungus Cryphonectria parasitica is the causal agent of chestnut blight disease. This deadly fungal pathogen was introduced into North America from Asia before the turn of the 20th century, quickly spreading throughout the natural range of the American chestnut tree. In the course of a single generation, chestnut blight destroyed billions of American chestnut trees in forests across North America, driving it almost to extinction. The genome assembly for C. parasitica EP155 (v. 2.0, available at https://mycocosm.jgi.doe.gov/Crypa2/Crypa2.info.html) contains 26 main genome scaffolds totaling 43.9 Mb, and was sequenced at the U.S. Department of Energy Joint Genome Institute. The information and documents contained within this Ag Data Commons dataset provide supplementary data about the EP155 genome assembly, including scaffold summaries, genetic maps, mitochondrial DNA, P450s, secondary metabolite clusters, vegetative incompatibility genes, and transposable elements. These data are freely available for research purposes.,,

,NOTE: Due to security issues, the ARSEF database search function is not currently available and we are transitioning to a site on the ARS-AZURE cloud. Please contact the curator (Kathryn.Bushley@usda.gov) if you need information about specific groups or a custom search of the database that can be sent via e-mail. Printed PDF catalogues of all isolates and other information about the collection are available on the ARSEF website at https://www.ars.usda.gov/northeast-area/ithaca-ny/robert-w-holley-center-for-agriculture-health/emerging-pests-and-pathogens-research/docs/mycology/,The Agricultural Research Service Collection of Entomopathogenic Fungal Cultures is the world's largest, most kaleidoscopic, and most comprehensive collection of living cultures of fungi that are pathogenic to or associated with insects, spiders, mites, ticks, and other invertebrates. Some isolates in the collection are not themselves invertebrate pathogens but are critically important for the improvements of taxonomies and systematics for the many diverse groups of fungi represented here. As of July 2016, ARSEF maintains more than 13000 isolates of more than 700 taxa of fungi isolated from 1300 hosts collected at more than 2400 locations on every continent.,The database is searchable by Fungi, Hosts, Locations, Provenance, or Accessions. Results are provided in PDF format.,Catalog files are in the Adobe Acrobat (PDF) format and are readable with the Adobe Acrobat Reader.,All catalogs and live searches of isolate data incorporate the most current supportable taxonomies for ARSEF fungi. Significant changes in the nomenclatural rules for many fungi have a large and ongoing impact on the entomopathogens in the order Hypocreales. These changes are discussed the introductory material in the catalogs.,If you are unsure about the most current identifications for isolates, online searches of ARSEF accessions return taxonomic information in the collection database at the moment of the search.,

,Campylobacter jejuni subsp. jejuni infections are a leading cause of foodborne gastroenteritis and the most prevalent antecedent to Guillain-Barré syndrome (GBS). Penner serotype HS:19 is among several capsular types shown to be markers for GBS. This study describes the genome of C. jejuni subsp. jejuni HS:19 Penner reference strain RM3420.,,

##This checklist database is a collection of reports from 16 sources referenced in the "data_set" parameter. They consist of: 1. bishop museum: Data from the Bishop museum fungal database 2. board report: From National Agricultural Pest Information System (NAPIS) board reports 3. [bugwood](https://www.bugwood.org/plantdiseases.cfm): Widely prevalent Fungi, Bacteria, and Virues in Hawaii from bugwood database 4. CAPS survey data: Cooperative Agriculture Pest Survey databases (negative data) 5. [crop knowledge master](http://www.extento.hawaii.edu/kbase/crop/cropmenu.htm): crop knowledge master website 6. CTAHR New Pest reports: Collected by Dr. Michael Melzer 7. [Don Gardner](http://www.hear.org/pph/database/#dongardnerlegacydatabase): Data from Don Gardner’s legacy database 8. First report: First reports found from literature search of scientific journals (Google Scholar, Web of Science, PubMed) 9. [GBIF](https://www.gbif.org/): Global Biodiversity Information Facility 10. [hawaii checklist](https://scholarspace.manoa.hawaii.edu/items/43c51984-f009-40ff-851c-107f0269a6d5): The “2009 Checklist of Plant Diseases in Hawaii” 11. Hawaii NPDN data: National Plant Diagnostic Data from Hawaii (detections from Hawaii and dignosed at labs in AZ, FL, HI, NC, NY, OR, SC, and WI). 12. [HDOA new pest advisory](https://hdoa.hawaii.gov/pi/ppc/new-pest-advisories/): Hawaii Department of Agriculture new pest advisory 13. miscellaneous: personal literature search 14. NAPIS data: National Agricultural Pest Information System database 15. [UH extension articles](https://www.ctahr.hawaii.edu/site/PubList.aspx?key=Plant%20Disease): University of Hawaii extension articles 16. USDA_confirmations: USDA National Agricultural Statistics Service This is a compile of detections and not negative data. The exception would be the CAPS data, in which negative data would represent the entire state. Negative CAPS data are represented by zero values in the island columns. ##The database consist of 23 columns. Below is a discription of each column. Number of unique values are in parentheses. 1. host_family (186): Scientific family name of plant host 2. host_genus (675): Scientific genus name of plant host 3. host_species (839): Scientific species name of plant host 4. host_scientific_name (1361): Scientfic binomial noenclature of plant host 5. host_common_name (921): Plant host common name from [Forest & Kim Starr](http://www.starrenvironmental.com/images/) and USDA PLANTS Database 6. pathogen_genus (3378): Scientific genus name of plant pathogen genus name of plant pathogen 7. pathogen_species (3397): Scientific species name of plant pathogen 8. pathogen_scientific_name (7007): Scientfic binomial noenclature of pathogen host 9. pathogen_group (16): Seperates organisms in pathogen name columns into nematode, entomopathogenic fungi, saprophytic fungi, bacteria, amoeba, unknown, virus, fungi, and parasitic plant 10. pathogen_status (2): Consit of sources that determine organism in pathogen name columns as a plant-pathogen or not (manual research, hawaii checklist pathogen, fungus-host database pathogen, based on name - for viruses only, and NPDN database pathogen) 11. data_set (16): Source of report (details above) 12. status: The status of pathogen present in Hawaii (absent or present) 13. year: Date of report (117 years) 14. Hawaii: Presence of pathogen in the island of Hawaii (1=present, 0=absent, blank=unknown) 15. Maui: Presence of pathogen in the island of Maui (1=present, 0=absent, blank=unknown) 16. Lanai: Presence of pathogen in the island of Lanai (1=present, 0=absent, blank=unknown) 17. Molokai: Presence of pathogen in the island of Molokai (1=present, 0=absent, blank=unknown) 18. Oahu: Presence of pathogen in the island of Oahu (1=present, 0=absent, blank=unknown) 19. Kauai: Presence of pathogen in the island of Kauai (1=present, 0=absent, blank=unknown) 20. Kahoolawe: Presence of pathogen in the island of Kahoolawe (1=present, 0=absent, blank=unknown)

Genome sequence, PCR clone sequences and qPCR data. This dataset is associated with the following publication: Linz, D., K. McIntosh, I. Struewing, S. Klemm, B. McMinn, R. Haugland, E. Villegas, and J. Lu. Genomic Characterization and Wetland Occurrence of a Novel Campylobacter Isolate from Canada Geese. Microorganisms. MDPI, Basel, SWITZERLAND, 11(3): 648, (2023).

To determine how native and non-native lineages of Phragmites australis affect and respond to soil bacteria, fungi and oomycetes, we collected live rhizomes, seeds and soil from native and non-native lineages of Phragmites from 10 sites within Michigan and Ohio, USA. We propagated these field-collected samples to carry out a reciprocal-transplant plant-soil feedback experiment with multiple microbial inhibition treatments. Specifically, we investigated how each Phragmites lineage grew in soils pre-conditioned by each lineage and soils that had been pre-sterilized. Plant biomass was the main response variable collected to determine responses to microbial soil conditioning. We also used DNA meta-barcoding to identify the effects of each plant lineage on soil microbes and link plant responses to microbial communities. Specifically, DNA was extracted from soils and fungal and bacterial DNA was amplified to identify the microbial constituents. Amplicons were sequenced using Illumina MiSeq. This dataset includes outputs of bioinformatic analysis of sequences including operational taxonomic unit (OTU) generation, OTU abundance, resolved taxonomy, and environmental metadata collected in our survey. Raw sequences were uploaded to the NCBI Sequence Read Archive under SRA accession number PRJNA719385.