Forensic Genomics Data on Abalone Mass Mortality Event

This dataset supports a study presenting a 'forensic genomics' approach to identify causes of mass mortality events, using a harmful algal bloom affecting abalone as a proof of concept. The data was authored by Pierre De Wit and last updated in June 2020.

Use Cases

• Apply forensic genomics to allele frequency data from surviving animals to detect signatures of natural selection from mortality agents.
• Analyze genomic scan data alongside field survey and toxin testing results to pinpoint causative agents of mass mortality events.
• Investigate the genetic effects of a yessotoxin-producing algal bloom on Haliotis rufescens (red abalone) populations.

Strengths

• Data underpins a novel 'forensic genomics' methodology for investigating mass mortality events.
• Dataset is associated with a specific proof-of-concept study on an invertebrate mass mortality event.
• Released under a permissive CC0 1.0 public domain license.

Limitations

• Specific data structure, file formats, and volume (rows, columns, size) are unknown.
• The dataset is focused on a single case study (abalone), limiting generalizability to other species or events.
• Data recency is limited, last updated in 2020.

Provenance

Source

dryad

Collection Method

Combined field surveys, toxin testing, and genomic scans as part of a 'forensic genomics' approach.

Freshness

Last updated 2020-06-24.