Simulated Microsatellite Data for Invasion History Analysis

Featuring simulated microsatellite data used to evaluate the power of approximate Bayesian computation (ABC) to distinguish between single and multiple introductions of invasive species from a single source. It was created by Sean Hoban and published in 2020, applying methods to three invasions of bumblebee in New Zealand.

Use Cases

• Evaluate the power of ABC to distinguish between single and multiple introductions from the same source using simulated microsatellite data.
• Assess the performance of summary statistics selection methods for inferring invasion history parameters.
• Apply the MISS model to microsatellite data from three bumblebee invasions in New Zealand to test for multiple introductions.
• Analyze the relationship between demographic parameters and the ability to correctly identify one- versus two-wave invasion models.

Strengths

• Data is simulated to test a specific, underexplored model (MISS) for biological invasions.
• Includes application to empirical microsatellite data from three distinct bumblebee species invasions.
• Published under a permissive CC0 1.0 public domain license.

Limitations

• Simulated results showed good but not perfect ability to distinguish models across the tested parameter space.
• Parameter estimation was noted to be less accurate for bottleneck timing.
• Application to real bumblebee data yielded inconclusive results for two of the three species.

Provenance

Source

Dryad digital repository.

Collection Method

Data generated via simulation of microsatellite data under a range of demographic parameters, with application to empirical genetic data.

Freshness

Last updated in June 2020.

Geography

Includes data related to bumblebee invasions in New Zealand.