This repository contains research on resazurin metabolic assays for shellfish aquaculture conducted at the Virginia Institute of Marine Science (VIMS).
This research evaluates resazurin-based metabolic assays as biomarkers for oyster performance in aquaculture, with applications for:
- Breeding program enhancement
- Environmental stress tolerance prediction
- Production optimization
- Risk management
resazurin-trials.Rmd- Main analysis of metabolic biomarkers and trait correlationsploidy-trials-20250826.Rmd- Ploidy comparison studies (triploid vs diploid)ploidy-trials-20250813.Rmd- Earlier ploidy trialstemperature-testing.Rmd- Temperature stress testing analysistemperature.Rmd- Environmental temperature monitoringplate-maps.Rmd- Experimental design documentation
research-summary-and-industry-implications.md- Comprehensive summary of findings and industry applicationscode/research-summary-and-industry-implications.Rmd- R Markdown version for rendering
- Raw experimental data files
- Metadata and experimental design information
- Performance trait predictions from breeding programs
- Generated plots and statistical outputs
- Publication-ready figures
- Metabolic activity significantly predicts survival in low-salinity environments for environmentally-selected oyster populations
- Ploidy affects metabolic performance patterns, with distinct profiles between triploid and diploid oysters
- Acute stress response correlates with performance traits, enabling rapid screening of breeding stock
- Family-level genetic variation in metabolic activity supports selective breeding applications
- Environmental context matters - correlations are stronger when assays match production conditions
- 15-30% reduction in environmental stress mortality through pre-deployment screening
- Accelerated breeding cycles (6-12 months vs 18-24 months for traditional testing)
- Cost-effective screening (~$2-5 per assay vs $0.50-2.00 per oyster mortality cost)
- Integration with precision aquaculture systems
- Climate adaptation strategies
- Multi-species applications
- Value-added product development
- Review the main analysis file:
code/resazurin-trials.Rmd - Examine methodology and statistical approaches
- Check data structure in
/data/folder - Refer to figure outputs for key visualizations
- Start with the research summary:
research-summary-and-industry-implications.md - Focus on the "Industry Implications and Applications" section
- Review the "Future Research Recommendations" for collaboration opportunities
- Contact information provided for technology transfer discussions
Required R packages:
install.packages(c("tidyverse", "ggplot2", "readxl", "cowplot",
"lme4", "lmerTest", "car", "emmeans", "pracma"))