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  • 1
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    Biological and Chemical Oceanography Data Management Office (BCO-DMO). Contact: bco-dmo-data@whoi.edu
    Publication Date: 2022-11-23
    Description: Dataset: Oyster genetic identity and parasite community structure
    Description: Intraspecific variation in host susceptibility to individual parasite species is common, yet how these effects scale to mediate the structure of diverse parasite communities in nature is not as well understood. To address this knowledge gap, we tested how host genetic identity affects parasite communities on restored reefs seeded with juvenile oysters from different sources – a regional commercial hatchery or one of two wild progenitor lines. We assessed the prevalence and intensity of three micro- and two macro-parasite species for four years following restoration. Despite the spatial proximity of restored reefs, oyster source identity strongly predicted parasite community prevalence across all years, with sources varying in their relative susceptibility to different parasites. Oyster seed source also predicted reef-level parasite intensities across space and through time. Our results highlight that host intraspecific variation can shape parasite community structure in natural systems, and reinforce the importance of considering source identity and diversity in restoration design. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883570
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320, U.S. Fish & Wildlife Service Wildlife and Sport Fish Restoration Program (USFWS WSFR) WSFR F20AF00145
    Keywords: Crassostrea virginica ; host-parasite ; habitat restoration ; genetic variation
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 2
    Publication Date: 2022-11-22
    Description: Dataset: Mesocosm warming experiment temperature
    Description: This dataset includes seawater temperature measurements from mesocosms. Data were collected as part of a mesocosm study at the Bodega Marine Laboratory examining the independent and interactive effects of warming, host genotypic identity, and host genotypic diversity on the prevalence and intensity of infections of seagrass by the wasting disease parasite Labyrinthula zosterae. These data were plotted in Schenck et al (2022) as Figure S1. And Bois et al., 2021 as Figure 1. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883037
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320
    Keywords: climate change ; host-parasite ; microbiome ; seagrass ; wasting disease
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 3
    Publication Date: 2022-11-22
    Description: Dataset: Mesocosm warming experiment quantitative PCR inhibition controls
    Description: This data set includes quantitative PCR cell count estimates from samples of DNA extracted from seagrass wasting disease parasite, Labyrinthula zosterae, cultures of known cell concentrations run with and without DNA extracted from seagrass, Zostera marina, tissue samples to test for quantitative PCR signal inhibition. Seagrass tissue samples were collected as part of a mesocosm study at the Bodega Marine Laboratory examining the independent and interactive effects of warming, host genotypic identity, and host genotypic diversity on the prevalence and intensity of infections of seagrass by the wasting disease parasite L. zosterae. These data were plotted in Schenck et al (2022) as Figure S6. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883055
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320
    Keywords: climate change ; host-parasite ; microbiome ; seagrass ; wasting disease
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 4
    Publication Date: 2022-11-22
    Description: Dataset: Mesocosm microbial analyses results
    Description: This dataset includes outputs from statistical analyses of differences in microbial taxa (amplicon sequence variant or ASV) abundance among two groups of seagrass, Zostera marina, genotypes: those that showed reduced Labyrinthula zosterae parasites when warmed vs those that showed increased L. zosterae parasites when warmed; and two seawater temperature treatments: ambient or elevated +3.2oC. Data were collected as part of a mesocosm study at the Bodega Marine Laboratory examining the independent and interactive effects of warming, host genotypic identity, and host genotypic diversity on the prevalence and intensity of infections of seagrass by the wasting disease parasite L. zosterae. These data were published in Schenck et al (2022). Related sequence data from this experiment is accessible from the National Center for Biotechnology Information (NCBI) BioProject PRJNA716355. For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/883070
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320
    Keywords: climate change ; host-parasite ; microbiome ; seagrass ; wasting disease
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
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  • 5
    Publication Date: 2022-11-22
    Description: Dataset: Mesocosm warming experiment seagrass metrics
    Description: This dataset includes seagrass metrics (diversity, biomass, growth, and wasting disease) from mesocosm experiments at Bodega Marine Laboratory in July-September 2015. Data were collected as part of a mesocosm study at the Bodega Marine Laboratory examining the independent and interactive effects of warming, host genotypic identity, and host genotypic diversity on the prevalence and intensity of infections of seagrass by the wasting disease parasite Labyrinthula zosterae. These data were published in Schenck et al (2022). For a complete list of measurements, refer to the full dataset description in the supplemental file 'Dataset_description.pdf'. The most current version of this dataset is available at: https://www.bco-dmo.org/dataset/879749
    Description: NSF Division of Ocean Sciences (NSF OCE) OCE-1652320
    Keywords: Zostera marina ; microbiome ; seagrass wasting disease ; host-parasite ; seagrass ; wasting disease
    Repository Name: Woods Hole Open Access Server
    Type: Dataset
    Location Call Number Expected Availability
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