Artificial Selection on Drosophila Serrata Phenotypic Variance

2019 data from an artificial disruptive selection experiment on Drosophila serrata, authored by Jacqueline L. Sztepanacz. The dataset examines multivariate trait combinations, contrasting levels of genetic and mutational variance, and correlated responses to selection.

Use Cases

• Analyze patterns of phenotypic variance change in multivariate trait combinations under artificial disruptive selection.
• Investigate correlated responses in trait combinations not directly selected upon, as indicated by the study's findings.
• Examine the relationship between standing genetic variance levels and the response to artificial selection on trait axes.

Strengths

• Data originates from a published, peer-reviewed evolutionary biology experiment on Drosophila serrata.
• Dataset is licensed under CC0-1.0, allowing for unrestricted public use and redistribution.

Limitations

• Specific data structure, column names, row count, and file formats are unknown from the provided input.
• The dataset's scope is limited to the specific experimental conditions and species (Drosophila serrata) described.

Provenance

Source

Dryad digital repository.

Collection Method

Data generated from a controlled laboratory experiment applying artificial disruptive selection.

Freshness

Last updated on 2019-09-21.