Metabolite data demonstrating the response of bay mussels to stormwater, wastewater, and field exposure studies from: Metabolomic signatures of bioenergetic disruption in marine mussels exposed to wastewater, stormwater, and environmental conditions
Data files
Mar 31, 2026 version files 2.91 MB
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Analytical_Schedule_noformat.xlsx
1.53 MB
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Analytical_Schedule.xlsx
1.38 MB
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README.md
2.84 KB
Abstract
Nearshore environments are highly impacted by contaminants from anthropogenic activities, causing long-lasting and far-reaching impacts on nearshore organism populations. This study relies on metabolomic methods to understand and quantify the impact of contaminants in stormwater, wastewater, and field exposure on the reproductive success of native bay mussels (Mytilus trossulus). Mussels were exposed to known dilutions of stormwater or wastewater in a laboratory setting, and in a second study, mussels were deployed to select field sites throughout Puget Sound that were expected to receive stormwater or wastewater inputs. Hemolymph was then extracted, and samples were analyzed for metabolite concentrations using Liquid Chromatography-Mass Spectrometry. Metabolite concentration data were then analyzed using the MetaboAnalyst platform. Analysis showed significant disruption to energy pathways in exposed mussels, and a review of past studies created a strong link between energy metabolite levels and reproductive success. These results present a strong argument for the use of energy metabolites as biomarkers of reproductive health in mussels, and can provide insight into the health of the nearshore ecosystem and its dependent food webs.
Dataset DOI: 10.5061/dryad.866t1g238
Description of the data and file structure
Nearshore environments can be affected by contaminants from anthropogenic activities, leading to the potential for impacts on nearshore organisms and their populations. This study relies on metabolomic methods and investigates how exposure to stormwater and wastewater affects metabolite concentrations in bay mussels through both controlled laboratory experiments and field deployments in Puget Sound. In the lab, mussels were exposed for 28 days to varying dilutions of stormwater or wastewater effluent, while in the field, caged mussels were deployed for about 60 days at ten sites with differing pollution influences. Hemolymph samples were extracted from each treatment and analyzed using targeted liquid chromatography–mass spectrometry (LC-MS) to quantify and compare metabolite profiles. Rigorous quality control measures ensured data consistency across sample batches, and statistical analyses. Results were normalized and scaled to distinguish true biological differences from noise, enabling identification of metabolic pathways most affected by contaminants from stormwater and wastewater sources.
This dataset includes the complete analytical schedule for the exposures. The Excel file retains some formatting that is integral to data interpretation. This formatting includes merged header cells in the Data Reproducibility sheet which differentiates between instrument quality control results and sample quality control results. Additionally, formulas to calculate the CV are present in the Data Reproducibility sheet, which are necessary for analytical reproducibility metrics. Finally, there are cells in each sheet that contain N/A, which indicates that the metabolite was not detected by the instrument for the indicated sample. These N/A cells are necessary for the analysis described in the published study. All unnecessary formatting has been removed.
Files and variables
File: Analytical_Schedule.xlsx
Description: The complete analytical schedule for all metabolites and replicates for the stormwater exposure, wastewater exposure, and field sites. The names of variables and individual sheet names are listed within the document under the tab labelled "Key."
Variables:
- Compound Name, HMDB and KEGG identifiers, Sample ID, Quality Control (QC) samples
File: Analytical_Schedule_noformat.xlsx
Description: Same as Analytical_Schedule.xlsx, but with all formatting removed.