,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.,,

,The ascomycete Neofusicoccum parvum, one of the causal agents of Botryosphaeria dieback, is a destructive wood‐infecting fungus and a serious threat to grape production worldwide. The capability to colonize woody tissue, combined with the secretion of phytotoxic compounds, is thought to underlie its pathogenicity and virulence. Here, we describe the repertoire of virulence factors and their transcriptional dynamics as the fungus feeds on different substrates and colonizes the woody stem. We assembled and annotated a highly contiguous genome using single‐molecule real‐time DNA sequencing. Transcriptome profiling by RNA sequencing determined the genome‐wide patterns of expression of virulence factors both in vitro (potato dextrose agar or medium amended with grape wood as substrate) and in planta. Pairwise statistical testing of differential expression, followed by co‐expression network analysis, revealed that physically clustered genes coding for putative virulence functions were induced depending on the substrate or stage of plant infection. Co‐expressed gene clusters were significantly enriched not only in genes associated with secondary metabolism, but also in those associated with cell wall degradation, suggesting that dynamic co‐regulation of transcriptional networks contributes to multiple aspects of N. parvum virulence. In most of the co‐expressed clusters, all genes shared at least a common motif in their promoter region, indicative of co‐regulation by the same transcription factor. Co‐expression analysis also identified chromatin regulators with correlated expression with inducible clusters of virulence factors, suggesting a complex, multi‐layered regulation of the virulence repertoire of N. parvum.,,

,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.,,

,The generic placement of the strawberry leaf blight fungus, formerly known as Phomopsis obscurans has always been subject to uncertainty. These datasets provide the phylogenetic evidence based on four DNA markers (28S rDNA/LSU, ITS, TEF1 and RPB2) that support the establishment of a monotypic new fungal genus Paraphomopsis. Datasets include the single gene sequence alignments for the LSU, ITS, TEF1 and RPB2 markers, and the complete combined phylogenetic dataset and phylogenetic tree files for each single gene and combined analysis. The updated multi-gene datasets and trees for the Diaporthales provide the evidence to distinguish the leaf blight pathogen (Paraphomopsis obscurans) from the taxa associated with leaf blotch (Gnomoniopsis fragariae) and petiole blight and root rot (Paragnomonia fragariae).,,

,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 includes head smut infection level (caused by the fungal pathogen, Ustilago bullata) on cheatgrass (Bromus tectorum) and cheatgrass cover for plots measured annually during the first four years after the 2015 Soda wildfire. Additional landscape and weather covariates that are hypothesized to influence infection and host density are included.

Data includes head smut infection level (caused by the fungal pathogen, Ustilago bullata) on cheatgrass (Bromus tectorum) and cheatgrass cover for plots measured annually during the first four years after the 2015 Soda wildfire. Additional landscape and weather covariates that are hypothesized to influence infection and host density are included.

The data being released were part of a project funded by the Section 40804 Ecosystem Restoration of the Bipartisan Infrastructure Law (PL-117-58) in support of advancing a national revegetation effort. Data included are from a series of DNA degradation experiments targeting the mitochondrial 16S rRNA gene of the European honeybee (Apis mellifera). This study sought to determine how various environmental conditions may affect eDNA left behind on flowers by bee visitation and thus the impact that may have on monitoring bees via eDNA. The experiments occurred in the laboratory and in the natural environment in 2022 and 2023 using store-bought potted or natural flowers spiked with Apis mellifera DNA. Flower samples were processed to elute DNA, DNA was extracted, and Apis mellifera quantified by qPCR. More information about the individual degradation experiments can be found in the Supplemental Information section.