一种高度可扩展的方法，用于对自发 性Caenorhabditis 线虫进行生态调查

Executive Industry Relevance

Scalable ecological survey methods for Caenorhabditis nematodes enable robust discovery biology by linking genotype, phenotype, and environmental context. Integrating mobile data capture, cloud databases, and standardized analytics supports high-throughput, reproducible collection of wild isolates for functional genomics and comparative studies. This capability strengthens early discovery pipelines by expanding access to genetically diverse, ecologically relevant model systems.

Strategic Applications in Biopharma R&D

Early Discovery & Target Validation

• Enables systematic collection of wild nematode isolates for functional gene studies.
• Supports mechanistic de-risking by providing ecologically diverse genetic backgrounds.
• Facilitates comparative analysis of self-fertilization and other key traits across species.
• Improves predictive confidence in target validation by incorporating natural diversity.

Screening & Assay Development

• Standardizes sample tracking and metadata capture for downstream molecular assays.
• Ensures reproducibility and traceability through QR-coded sample management.
• Prepares validated biological materials for scalable genotyping and phenotyping workflows.
• Enables reliable evaluation of gene function in diverse environmental contexts.

Translational & Preclinical Research

• Aligns laboratory findings with natural ecological variation for translational relevance.
• Supports continuity from field collection to molecular characterization and strain development.
• Provides a foundation for identifying disease-relevant traits in model nematodes.
• De-risks preclinical model selection by leveraging wild-type diversity.

Pipeline & Workflow Integration

This method bridges field ecology and laboratory genomics, supporting workflows from early discovery through preclinical model development.

• Discovery Biology: Integrates ecological metadata with genotypic and phenotypic data for hypothesis testing.
• Screening: Delivers standardized, traceable samples for high-throughput molecular assays.
• Analytics: Enables quantitative comparison of environmental and genetic variables using cloud-based data management and R-based processing.
• Translational Research: Connects wild isolate characterization to laboratory model refinement for improved disease relevance.
• Enterprise Reuse: Establishes a scalable, reusable platform for ongoing ecological and genetic surveys.

Operational & Enterprise Impact

• Scientific Value: Expands genetic and ecological diversity for functional genomics and target validation.
• Operational Value: Streamlines sample collection, tracking, and data integration at scale.
• Strategic Value: Enhances go/no-go decision-making by grounding discovery in natural variation.
• Portfolio Impact: Informs risk-adjusted prioritization of targets and models based on ecological relevance.

Implementation Considerations

• Requires expertise in field sampling, molecular barcoding, and data analytics.
• Depends on mobile devices, cloud database access, and laboratory infrastructure for genotyping.
• Necessitates cross-team standardization of sample labeling and data entry protocols.
• Adaptable to various ecological sites and nematode species with protocol modifications.
• Sample amplification failures may require additional lysis and genotyping attempts.

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