Dataset: Microbial taxa (amplicon sequence variant or ASV) statistical analyses for two seagrass genotypes from wasting disease mesocosm experiments at Bodega Marine Laboratory in July-Sept of 2015

ValidatedFinal no updates expectedDOI: 10.26008/1912/bco-dmo.883070.1Version 1 (2022-10-27)Dataset Type:experimental

Principal Investigator: A. Randall Hughes (Northeastern University)

Scientist: Katherine DuBois (University of California-Davis)

Scientist: Melissa Kardish (University of California-Davis)

Scientist: Forest Schenck (Northeastern University)

Scientist: John J. Stachowicz (University of California-Davis)

BCO-DMO Data Manager: Amber D. York (Woods Hole Oceanographic Institution)


Project: CAREER: Linking genetic diversity, population density, and disease prevalence in seagrass and oyster ecosystems (Seagrass and Oyster Ecosystems)


Abstract

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 independen...

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We used a substitutive design to test the effects of eelgrass (Zostera marina) genotypic identity (eight genotypes), diversity (monocultures of 1 genotype vs. polycultures of 4 genotypes), and temperature (ambient or + 3.2° C) on the prevalence and intensity of Labyrinthula over eight weeks in an array of flow-through 120-L mesocosms at the Bodega Marine Laboratory in Bodega Bay, CA. In July 2015, we created ten unique polyculture combinations of four genotypes (4 genotypes per experimental pot) randomly drawn from a pool of eight genotypes; all eight genotypes were also grown in monoculture (1 genotype per pot). We filled pots (8.9 x 8.9 cm) with coarsely sieved sediment collected from Bodega Harbor, and planted 4 shoots per pot, matching the lower range of average field densities reported for Bodega Harbor (Ha and Williams 2018) to allow for growth during the experiment. Plants were originally collected in Bodega Harbor, CA in 2012, confirmed to be unique genotypes using 11 DNA microsatellite loci developed specifically for Z. marina (Abbott et al. 2018), and propagated in separate flow through mesocosms at BML.

At the end of the experiment (10 weeks), we collected and preserved the top half of the focal leaf in individual plastic bags sealed with 30 ml of silica (Flower Drying Art Silica Gel; Activa) for subsequent DNA extraction and quantitative PCR to estimate Labyrinthula zosterae cells as a proxy for infection (Bergmann et al. 2011, Bockelmann et al. 2013, Groner et al. 2021).

We collected 2 cm of the focal leaf from directly below the midpoint and stored the tissue at -80˚C for later microbiome analyses to assess whether particular leaf microbial taxa changed in association with Labyrinthula presence on the focal leaf. From these samples, we selected a subset of 84 leaf microbial samples evenly distributed across temperature treatments and across genotypes in monoculture. We did not assess leaf microbiomes in genotypic polycultures. We extracted the surface community of these leaf segments with a modified protocol for the DNeasy Powersoil Kit (Qiagen) and sequenced the V4-V5 region of the 16S rRNA gene on an Illumina MiSeq to analyze differences in the leaf microbiome between treatments and among genotypes. Specifically, to extract the surface community of leaf segments we used a modified protocol for the DNeasy Powersoil Kit (Qiagen) where we first vortexed leaf samples in 500ul of MilliQ water, and then extracted the supernate of each sample. Extraction success was verified via Qubit dsDNA HS assay kit. We PCR-amplified the V4-V5 region of the 16S rRNA gene and then sequenced pooled barcoded fragments on an Illumina MiSeq through the Integrated Microbiome Resource at Dalhousie University (Halifax, NS; Comeau et al. 2017).

Life Science Identifiers (LSID) for taxonomic names:
Zostera marina (urn:lsid:marinespecies.org:taxname:145795)
Labyrinthula zosterae (urn:lsid:marinespecies.org:taxname:395093)
Labyrinthula (urn:lsid:marinespecies.org:taxname:119090)


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Dataset: Mesocosm warming experiment quantitative PCR inhibition controls
Relationship Description: Data collected as part of the same experiment.
Schenck, F., DuBois, K., Kardish, M., Stachowicz, J. J., Hughes, A. R. (2022) Quantitative PCR cell count estimates from samples of DNA extracted from seagrass wasting disease parasite, Labyrinthula zosterae from wasting disease mesocosm experiments at Bodega Marine Laboratory in July-Sept of 2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-10-27 doi:10.26008/1912/bco-dmo.883055.1
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Dataset: Mesocosm warming experiment seagrass metrics
Relationship Description: Data collected as part of the same experiment.
Schenck, F., DuBois, K., Kardish, M., Stachowicz, J. J., Hughes, A. R. (2022) Seagrass metrics from from seagrass wasting disease mesocosm experiments conducted at Bodega Marine Laboratory from July-September 2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-10-06 doi:10.26008/1912/bco-dmo.879749.1
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Dataset: Mesocosm warming experiment temperature
Relationship Description: Data collected as part of the same experiment.
Schenck, F., DuBois, K., Kardish, M., Stachowicz, J. J., Hughes, A. R. (2022) Temperature from seagrass wasting disease mesocosm experiments at Bodega Marine Laboratory in June-July 2015. Biological and Chemical Oceanography Data Management Office (BCO-DMO). (Version 1) Version Date 2022-10-27 doi:10.26008/1912/bco-dmo.883037.1
IsRelatedTo

Dataset: https://www.ncbi.nlm.nih.gov/bioproject/PRJNA716355
UC Davis. Interactions of host disease susceptibility, warming, and microbiome response. (2021). In: NCBI:BioProject: PRJNA716355. Bethesda, MD: National Library of Medicine (US), National Center for Biotechnology Information; Available from: http://www.ncbi.nlm.nih.gov/bioproject/PRJNA716355.
References

Dataset: https://www.arb-silva.de/documentation/release-128/
Max Planck Institute for Marine Microbiology and Jacobs University. (2016). Release information of the SILVA SSU and LSU databases 128 as of Sept 29, 2016. The SILVA ribosomal RNA database project. Available from https://www.arb-silva.de/documentation/release-128/

Related Publications

Results

Schenck, F. R., DuBois, K., Kardish, M. R., Stachowicz, J. J., & Hughes, A. R. (2023). The effect of warming on seagrass wasting disease depends on host genotypic identity and diversity. Ecology, 104(3). Portico. https://doi.org/10.1002/ecy.3959
Methods

Abbott, J. M., DuBois, K., Grosberg, R. K., Williams, S. L., & Stachowicz, J. J. (2018). Genetic distance predicts trait differentiation at the subpopulation but not the individual level in eelgrass, Zostera marina. Ecology and Evolution, 8(15), 7476–7489. Portico. https://doi.org/10.1002/ece3.4260
Methods

Aitchison, J., Barceló-Vidal, C., Martín-Fernández, J. A., & Pawlowsky-Glahn, V. (2000). Mathematical Geology, 32(3), 271–275. https://doi.org/10.1023/a:1007529726302
Methods

Bergmann, N., Fricke, B., Schmidt, M. C., Tams, V., Beijing, K., Schwitte, H., Boettcher, A. A., Martin, D. L., Bockelmann, A.-L., Reusch, T. B. H., Rauch, G. (2011). A quantitative real-time polymerase chain reaction assay for the seagrass pathogen Labyrinthula zosterae. Molecular Ecology Resources, 11, 1076-1081.
Methods

Bockelmann, A.-C., Tams, V., Ploog, J., Schubert, P. R., Reusch, T. B. H. (2013). Quantitative PCR reveals strong spatial and temporal variation of the wasting disease pathogen, Labyrinthula zosterae in northern European eelgrass (Zostera marina) beds. PLoS ONE, 8(5), e62169.