,Boxwood blight disease, caused by the fungi Calonectria henricotiae and C. pseudonaviculata, is an emergent threat to natural and managed landscapes worldwide.,Boxwood blight emerged for the first time in the U.K. during the 1990s, then spread rapidly throughout Europe. By 2011, the fungus that causes the disease, Calonectria pseudonaviculata, was found in the U.S., threatening an industry valued at $103 million annually and countless mature landscapes, some dating back to early Colonial times. Since the first U.S. outbreaks, boxwood blight has been identified from a total of 19 states that together comprise 62% of the total U.S. boxwood production. A second pathogen, C. henricotiae, was recently described from five European countries. Infection can be latent, and the pathogen may sequester in less susceptible boxwood cultivars. Because there are no curative treatments—fungicides are at best suppressive of symptoms—infected plants are rendered unfit for sale. If infected plants are not destroyed, they provide a long-lived source of inoculum that spreads the pathogen by spores or resistant survival structures in soil, air, or water. Our goal is to provide knowledge and tools needed to reduce the impact of boxwood blight on the green industry.,This database includes genome datasets from Calonectria pathogens of boxwood and related species.,,

,Boxwood blight disease, caused by the fungi Calonectria henricotiae and C. pseudonaviculata, is an emergent threat to natural and managed landscapes worldwide. This dataset contains protein predictions and identifications generated from Calonectria pseudonaviculata CBS 139707 (aka cpsCT01) genome dataset https://doi.org/10.15482/USDA.ADC/1410184.,,

This data documents the results of sampling for the white-nose syndrome fungus, Pseudogymnoascus destructans (Pd) at the USGS National Wildlife Health Center between 2007-2022. Data are reported on the county level. Locations are accurate to county only. We used data collected at winter locations only (hibernaculum) for this data set.

This data represents the number of positive and negative Pd (Pseudogymnoascus destructans) detections by county over the sampling period 2008-2012. Pd is the fungus that is the causative agent of white-nose syndrome.

This data represents the number of positive and negative Pd (Pseudogymnoascus destructans) detections by county over the sampling period 2008-2012. Pd is the fungus that is the causative agent of white-nose syndrome.

This data documents the results of sampling for the white-nose syndrome fungus, Pseudogymnoascus destructans (Pd) at the USGS National Wildlife Health Center between 2013-2020. Data are reported on the county level. Locations are accurate to county only. We used data collected at winter locations only (hibernaculum) for this data set.

This data documents the results of sampling for the white-nose syndrome fungus, Pseudogymnoascus destructans (Pd) at the USGS National Wildlife Health Center between 2013-2020. Data are reported on the county level. Locations are accurate to county only. We used data collected at winter locations only (hibernaculum) for this data set.

This dataset includes data used to summarize trends and identify best-fit models to explain patterns in presence-absence and abundance of Pseudogymnoascus destructans (Pd) in environmental substrates and on bats within six bat hibernacula at different stages of white-nose syndrome (WNS). Data relating to environmental substrates include: dates and relative spatial locations of samples collected within study hibernacula, presence and quantity of Pd in samples based on qPCR analysis, and daily temperature parameters at each sample location on the days samples were collected. Data relating to bats include: dates and relative spatial locations of hibernating bats that were sampled, species, sex, weight(g), forearm length(mm), body mass index (weight/forearm), proportion of the wing with visible fungus or fluorescence characteristic of WNS under hand-held UVA light and presence and quantity of Pd in wing-skin swab samples based on qPCR analysis. Measures of time since first detection of WNS at each study hibernaculum are also included in the dataset.

This dataset includes data used to summarize trends and identify best-fit models to explain patterns in presence-absence and abundance of Pseudogymnoascus destructans (Pd) in environmental substrates and on bats within six bat hibernacula at different stages of white-nose syndrome (WNS). Data relating to environmental substrates include: dates and relative spatial locations of samples collected within study hibernacula, presence and quantity of Pd in samples based on qPCR analysis, and daily temperature parameters at each sample location on the days samples were collected. Data relating to bats include: dates and relative spatial locations of hibernating bats that were sampled, species, sex, weight(g), forearm length(mm), body mass index (weight/forearm), proportion of the wing with visible fungus or fluorescence characteristic of WNS under hand-held UVA light and presence and quantity of Pd in wing-skin swab samples based on qPCR analysis. Measures of time since first detection of WNS at each study hibernaculum are also included in the dataset.

,Ascomycete fungi in the genus Clarireedia are responsible for dollar spot, one of the most destructive and costly diseases affecting turfgrasses worldwide. Almost all grasses grown as turf are susceptible to dollar spot, including many high value grass species commonly used for golf courses. This Ag Data Commons dataset provides the genome sequences for seven isolates of Clarireedia fungi that cause dollar spot disease, including sequences of the two most widespread species, C. jacksonii and C. monteithiana. These data are freely available for research purposes.,,