Methylmercury effects on birds: Bibliography and dataset for the development of toxicity reference values for injury assessment
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This data release contains three files. The first (Table S1 Bibliography Dataset) contains the entire bibliography for the 435 publications examined for potential inclusion into at least one of the meta-analyses for the effects of environmental mercury (Hg) on birds. For those 168 publications that were included in at least one meta-analysis, the worksheet titled Bibliography contains data describing each sub-dataset, including the type of study, data extraction methods, biological endpoints measured, age class, tissue-residue Hg concentrations, dosing Hg concentrations, the measured effect of Hg, bird taxonomy, life history, and the study’s citation. The worksheet titled Header Explanation describes each column within the Bibliography. The worksheet titled Flowchart describes the process of how the different columns within the Bibliography worksheet can be filtered to produce the studies and sub-datasets that were included within a specific meta-analysis (e.g., combinations of endpoint categories and age classes). The second file (Table S2 Detailed Endpoints) contains the entire list of detailed biological endpoints measured by studies examining the effect of Hg on birds and how they were categorized into the six main endpoint categories (i.e., survival, offspring output, behavior, biochemical, histology, and body morphology) and the three combined endpoints categories (i.e., combined reproduction endpoints, combined survival and reproduction endpoints, and all endpoints during the breeding season). The number of publications and sub-datasets (both for all time periods and those conducted during the breeding season) that quantified each endpoint are listed. The third (Table S3 Data Tables) contains the data used in all 87 meta analyses and shows how each row of data (datapoint used in at least one meta analysis) was categorized into the six main endpoint categories and the three combined endpoint categories. Each of the seven worksheets in the Table S3 Data Tables represents a different type of Hg on the x axis (adult blood-equivalent Hg, egg-equivalent Hg, Hg injected into eggs, maternal dietary Hg for effects on eggs, maternal dietary Hg for effects on juveniles, adult dietary Hg for effects on adults, and juvenile dietary Hg for effects on juveniles).
Hepatic Transcriptome of Japanese quail (Coturnix japonica) Exposed to 17β-Trenbolone
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The files in this data release are RNA seq datafiles from a study that examined the effects of the synthetic anabolic steroid 17β hydroxyestra 4,9,11 trien-3-one, trenbolone (17βT - CAS 10161-33-8), a common contaminant of wastes from confined animal feeding operations (CAFOs). Japanese quail (Coturnix japonica) were exposed in the egg and through feed to multiple doses of 17βT and liver transcriptomes were examined to identify genes and pathways directly affected by this androgenic compound. RNA was extracted from liver of adults and embryos and analyzed (1x50 bp) on an Illumina HiSeq 2000. NCBI Biosample accessions and the raw counts that were input into the differential expression analysis are provided in this dataset. The raw sequence data are available at the NCBI Sequence Read Archive under Bioproject numbers PRJNA313918 and PRJNA313931.
Metadata for manuscript entitled: Physiological and Endocrine Responses of Hatchling American Kestrels (Falco sparverius) following Embryonic Exposure to Technical Short-Chain Chlorinated Paraffins (C10-13)
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- Observations of test subjects and hatching data - Body weight, organ/tissue weights - Biomarker data (oxidative stress indicators, oxidative DNA damage, thyroid hormones, histological findings) in various tissues - Chemical residues in tissues
Toxicity of eleven herbicides and one fungicide to the marine alga Tisochrysis lutea (Haptophyta) (NESP TWQ 3.1.5, AIMS)
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This dataset shows the effects of herbicides and one fungicide (detected in Great Barrier Reef catchments) on the specific growth rates (from cell density data) of the microalgae Tisochrysis lutea during laboratory experiments conducted from 2018-2019. The aim of this project was to apply standard ecotoxicology protocols to determine the effects of Photosystem II (PSII), alternative herbicides and one fungicide on the growth of the marine microalgae Tisochrysis lutea. Growth bioassays were performed over 3-day exposures using pesticides that have been detected in the Great Barrier Reef catchment area (O'Brien et al., 2016). These toxicity data will enable improved assessment of the risks posed by PSII and alternative herbicides as well as the fungicide propiconazole to microalgae for both regulatory purposes and for comparison with other taxa. Methods: The haptophyte Tisochrysis lutea (formerly known as Isochrysis galbana)(Grant etal. 2017) (strain CS-177) was purchased from the Australian National Algae Supply Service, Hobart (CSIRO). Cultures of T. lutea were established in EDTA-free Guillard’s f/2 marine medium (Trenfield et al. 2015) (1 ml L-1 of f/2 medium in autoclaved natural seawater). Cultures were maintained in sterile 500 ml Erlenmeyer flasks as batch cultures in exponential growth phase with weekly aseptically transfers of 10 ml T. lutea suspension to 300 ml f/2 medium. Culture were maintained at 28 ± 1°C, 33 ± 1.5 psu and under a 12:12 h light:dark cycle (80 – 100 µmol photons m–2 s–1). Pesticide stock solutions were prepared using PESTANAL (Merck) analytical grade products (purity greater than or equal to 98%): diuron (CAS 330-54-1), metribuzin (CAS 21087-64-9), tebuthiuron (CAS 34014-18-1), bromacil (CAS 314-40-9), propazine (CAS 139-40-2), simazine (122-34-9), imazapic (CAS 104098-48-8), haloxyfop-p-methyl (CAS 72619-32-0), 2,4-D (CAS 94-75-7), MCPA (CAS 94-74-6), fluroxypyr (CAS 69377-81-7) and propiconazole (CAS 60207-90-1). The selection of pesticides was based on application rates and detection in coastal waters of the GBR (Grant et al. 2017, O’Brien et al. 2016). Pesticide stock solutions (100 – 1,000 mg L-1) were prepared by dissolving aliquots of the pure compounds in ultrapure water using clean, acid-washed (5% nitric acid) glass screw-top containers. Simazine, tebuthiuron and haloxyfop-p-methyl were dissolved using the carrier dimethyl sulfoxide (DMSO) (less than or equal to 0.02 % (v/v) in exposure solutions). Diuron, imazapic, metribuzin, bromacil, 2,4-D, propazine, MCPA, fluroxypyr and propiconazole were dissolved in acetone (less than or equal to 0.01 % (v/v) in exposure). Stock solutions were stored refrigerated and in the dark. Tests were conducted as previously described (Trenfield et al. 2015). Cultures of T. lutea were exposed to increasing concentrations of individual pesticides over a period of 72 h. Inoculum was taken from cultures in exponential growth phase (4-d old culture) and starting cell density assessed using a haemocytometer. For each treatment, a total volume of 250 mL test media was prepared in a clean, acid-washed 500 mL Schott bottle. Test media consisted of filtered (0.45 µm) seawater spiked with the respective pesticide stock, quarter strength EDTA-free f/2 media as nutrient source and T. lutea at a starting density of 3x103 or 1x104 cells mL-1. In each toxicity test, the response (specific growth rate of the culture) of the treatments exposed to pesticide were assessed against a seawater control group (no herbicide). For each test, 2 – 3 replicate 125 mL Erlenmeyer flasks (50 mL test volume) were assessed. Flasks were incubated at 27 – 29.0°C under a 12:12 h light:dark cycle (80 – 100 µmol photons m–2 s–1). After 72h, sub-samples (7 ml) were taken from each flask and cell densities measured using a flow cytometer (BD Accuri C6, BD Biosciences, CA, USA). Specific growth rates (SGR) were expressed as the logarithmic increase in cell density from day i (ti) to day j (tj) as per