Replication Data for Uncoupled Shedding and Spreading in Host-Parasite Transmission

Experimental data from a natural Caenorhabditis–Leucobacter host-parasite system decomposes transmission into sequential steps, including host susceptibility, parasite shedding, infection-induced dispersal, and infection outcomes. The dataset, authored by Luis M. Silva and harvested from Borealis, was last updated on April 25, 2026. It shows that transmission heterogeneity emerges from distinct ecological bottlenecks across the infection cycle.

Use Cases

• Modeling transmission potential based on decomposed infection cycle components described in the study.
• Analyzing the independence of host susceptibility, shedding, and spreading across genotypes and infection routes.
• Investigating the relationship between parasite quantity (shedding) and quality (infection outcome) after transmission.
• Studying how ecological context, such as infection route, reverses host susceptibility and alters transmission patterns.

Strengths

• Data decomposes transmission into distinct, measurable biological steps, providing a structured view.
• Analysis spans multiple host genotypes and infection routes, allowing for comparative study.
• Dataset is associated with a published study demonstrating that high parasite shedding does not reliably predict infectiousness.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

Borealis Harvested Dataverse

Collection Method

Likely contains experimental data from a natural Caenorhabditis–Leucobacter system.

Freshness

Last updated 2026-04-25 04:15:18; freshness should be verified.