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Data from: Ploidy determination of buffel grass accessions in the USDA National Plant Germplasm System collection by flow cytometry

    The DNA content of 568 accessions of buffel grass in the USDA National Plant Germplasm System was determined through flow cytometry to predict their ploidy levels. Based on DNA content, 308 accessions were determined as tetraploids with 36 chromosomes, 139 as pentaploids with 45 chromosomes, 20 as hexaploids with 54 chromosomes, two as septaploids with 63 chromosomes, and 99 as aneuploids. Chromosome counts of selected plants confirmed ploidy levels from DNA findings. Chromosome number of euploid plants could be predicted from the DNA data.

    FINDMAP

      The findmap.f90 program aligns sequence reads to reference map, calls previous variants, and identifies new variants.

      UPIC

        Unique Pattern Informative Combinations (UPIC), a decision tool for the cost-effective design of DNA fingerprinting/genotyping experiments using simple-sequence/tandem repeat (SSR/STR) markers.

        The Aquatic eDNAtlas Project: Lab Results Map - USFS RMRS

          The eDNA samples in the eDNAtlas database describe species occurrence locations and were collected by the U.S. Forest Service and numerous agencies that have partnered with the National Genomics Center for Wildlife and Fish Conservation (NGC) throughout the United States. The eDNAtlas is accessed via an interactive ArcGIS Online (AGOL) map that allows users to view and download sample site information and lab results of species occurrence for the U.S. The results are primarily based on samples analyzed at the National Genomics Center for Wildlife and Fish Conservation (NGC) and associated with geospatial attributes created by the Boise Spatial Streams Group (BSSG).

          The Range-Wide Bull Trout eDNA Project - USFS RMRS

            The bull trout (*Salvelinus confluentus*) eDNA survey results Online Map allows users to view the survey results in an interactive map by coupling 1) predictions from the range-wide, spatially precise Climate Shield model on the location of natal habitats of bull trout with 2) a sampling template for every 8-digit hydrologic unit in the historical range of bull trout, based on the probability of detecting bull trout presence using environmental DNA (eDNA) sampling. The map provides the ability to zoom in and look at an area of interest, as well as to create queries or select an area to download points as a shapefile.

            Oncopeltus fasciatus hybrid genome assembly 1.0

              The milkweed bug, *Oncopeltus fasciatus*, was sequenced as part of the i5k pilot project from Baylor College of Medicine (Illumina data). To augment those resources, we present here a hybrid genome assembly with low coverage PacBio data, assembled with PBJelly: the *Oncopeltus fasciatus* Hybrid Genome Assembly v1.0.

              Data from: Draft genome sequences of eight streptogramin-resistant Enterococcus species isolates from animal and environmental sources in the United States

                Draft genome sequences of five *Enterococcus faecium*, two *Enterococcus hirae*, and one *Enterococcus gallinarum* from enviromental sources and chicken carcass rinsates. Isolates were selected for their resistance to the streptogramin antibiotic, Quinupristin-Dalfopristin and were all collected in the United States between 2001 and 2004. Antimicrobial resistance genes were identified conferring resistance to the macrolide-lincosamide-streptogramins, aminoglycosides, tetracycline, beta-lactams, and glycopeptides.

                Data from: Identification of Single-Nucleotide Polymorphic Loci Associated with Biomass Yield under Water Deficit in Alfalfa (Medicago sativa L.) Using Genome-Wide Sequencing and Association Mapping

                  Alfalfa is a worldwide grown forage crop and is important due to its high biomass production and nutritional value. However, the production of alfalfa is challenged by adverse environmental factors such as drought and other stresses. Developing drought resistance alfalfa is an important breeding target for enhancing alfalfa productivity in arid and semi-arid regions. In the present study, we used genotyping-by-sequencing and genome-wide association to identify marker loci associated with biomass yield under drought in the field in a panel of diverse germplasm of alfalfa.