Excel files containing raw data used to generate figures throughout manuscript. This dataset is associated with the following publication: Dean , T., D. Betancourt , J. Kim, L. Harvey, A. Evans, and B. Grace. Biological Responses of Raw 264.7 Macrophage Exposed to Two Strains of Stachybotrys chartarum Spores Grown on Four Different Wallboard Types. INHALATION TOXICOLOGY. Taylor & Francis, Inc., Philadelphia, PA, USA, 28(7): 303-307, (2016).

버섯 유전자 전사체 분석 및 서열 배열 정보(유전체 염기서열 분석 및 각 염기서열의 기능 주석 작업을 통하여 주요 분자의 유전마커 확립을 위한 정보 제공)

Briefly, sample collection will entail collecting soil samples at 5 sites within 1 suggested area, with each site being more than a quarter mile apart. Sample sites would be between 150 feet from roads, and 75 feet from trails. At each site, 3 subsamples of topsoil (0-8 inches) using scoop will be collected, yielding 1 pooled sample (about 1.2 lbs).

The files include the presence/absence data by sample for either high-throughput sequencing-based taxonomy or morphology-based taxonomy. The files also include our estimates of the species' biomass in each sample, along with the presence/absence classification by taxonomic method. This dataset is associated with the following publication: Hoffman, J., C. Meredith, E. Pilgrim, A. Trebitz, C. Hatzenbuhler, J. Kelly, G. Peterson, J. Lietz, S. Okum, and J. Martinson. Comparison of larval fish detections using morphology-based taxonomy versus high-throughput sequencing for invasive species early detection. CANADIAN JOURNAL OF FISHERIES AND AQUATIC SCIENCES. NRC Research Press, Ottawa, CANADA, 78(6): 752-764, (2021).

The fasta files (Genome_Set01.zip) contain the reference-assisted de novo assemblies (as contigs) of four Campylobacter spp. isolates. The table contains rows as isolates (yellow) and columns as attributes (green) for each individual genome. This dataset is associated with the following publication: Gomez-Alvarez, V., N. Ashbolt, J. Griffith, J. Santo Domingo, and J. Lu. Whole-Genome Sequencing of Four Campylobacter strains Isolated from Gull Excreta collected from Hobie Beach (Oxnard, CA, USA). Microbiology Resource Announcements. American Society for Microbiology, Washington, DC, USA, 8(32): e00560-19, (2019).

,Organisms living in honey bees and honey bee colonies form large associative holobiont communities that are integral to bee biology. High-throughput sequencing approaches to characterize these holobiont communities from honey bees in various states of health and disease are now commonplace, producing large amounts of nucleotide sequence data that must be accurately and consistently analyzed in order to produce reliable and comparable reports. In addition, new species designations and revisions are actively being made from honey bee holobiont communities, complicating nomenclature in larger databases where taxonomic descriptions associated with archived sequences can quickly become outdated and misleading.,To improve the accuracy and consistency of honey bee holobiont research, we have developed HoloBee: a curated database of publicly accessioned nucleotide sequences from the honey bee holobiont community. Except in rare and noted exceptions made by curators, sequences used in HoloBee were obtained from, or in association with, Apis mellifera (Western honey bee) as well as other honey bee species where available (e.g. Apis cerana, Apis dorsata, Apis laboriosa, Apis koschevnikovi, Apis florea, Apis andreniformis and Apis nigrocincta). Sources include: within or on the surface of honey bees (adult, pupae, larvae, egg), corbicular pollen, bee bread, royal jelly, honey, comb, hive surfaces (e.g. bottom board debris, frames, landing platforms), and isolates of microbes, parasites and pathogens from honey bees. HoloBee contains two non-overlapping sets of sequence data, HoloBee-Barcode and HoloBee-Mop, each of which have distinct intended uses.,HoloBee-Barcode is a non-redundant database of taxonomically informative barcoding loci for all viruses, bacteria, fungi, protozoans and metazoans associated with honey bees (Apis spp.). It was created from an exhaustive master sequence archive of all valid holobiont sequences. Redundancy was removed from this master archive using a clustering algorithm that grouped sequences with ≥ 99% identity and retained the longest sequence from each cluster as the representative accession for that sequence type (“centroid”). These centroid sequences were concatenated into a fasta formatted file to create the HoloBee-Barcode database. Associated taxonomy for each centroid, including Superkingdom through Species and Strain/Isolate, was individually reviewed and corrected when necessary by a curator. Cross reference tables (separated according to 5 major taxonomic groups) provide a user-friendly outline of information for each centroid accession within HoloBee-Barcode including taxonomy, gene/product name, sequence length, the unaltered NCBI definition line, the number and identity of redundant sequences clustered within each centroid, and any additional information provided by the curator. HoloBee-Barcode centroid counts are: Viruses = 86; Bacteria = 496; Fungi = 41; Protozoa = 4; Metazoa = 60.,HoloBee-Barcode is intended to improve and standardize quantitative and qualitative metagenomic descriptions of holobiont communities associated with honey bees by providing a curated set of barcode sequences. The goal of genetic barcoding is to associate a nucleotide sequence sample to a taxonomically valid species. Genomic regions targeted for such barcoding purposes varied by taxonomic group. The small subunit (SSU) ribosomal RNA, or 16S rRNA, is the most commonly used barcode for bacteria and is used in HB-Barcode. These 16S rRNA sequences will support the analysis of data generated with the widely used approach of amplicon-based 16S rRNA deep sequencing to study microbiota communities. Although barcode markers for fungi are less definitive than bacteria, HB-Barcode defaults to the ribosomal RNA internal transcribed spacer region (ITS), which typically includes ITS-1, 5.8S, and ITS-2. For some clades that cannot be resolved by this region, other barcode markers were selected. The majority of barcodes for

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 complete genome sequence data of S. aureus SJTUF_J27 isolated from seaweed in China is reported here. The size of the genome is 2.8 Mbp with 32.9% G+C content, consisting of 2614 coding sequences and 77 RNAs. A number of virulence factors, including antimicrobial resistance genes (fluoroquinolone, beta-lactams, fosfomycin, mupirocin, trimethoprim, and aminocoumarin) and the egc enterotoxin cluster, were found in the genome. In addition, the genes encoding metal-binding proteins and associated heavy metal resistance were identified. Phylogenetic data analysis, based upon genome-wide single nucleotide polymorphisms (SNPs), and comparative genomic evaluation with BLAST Ring Image Generator (BRIG) were performed for SJTUF_J27 and four S. aureus strains isolated from food. The completed genome data was deposited in NCBI's GenBank under the accession number CP019117, https://www.ncbi.nlm.nih.gov/nuccore/CP019117.,,