Genetic Structure of Little Brown Myotis and White-Nose Syndrome Spread

Aggregating genetic and disease data for little brown myotis (Myotis lucifugus) bats to analyze the spread of white-nose syndrome (WNS). It was created by Aryn P. Wilder and published in 2020. The data supports logistic regression models evaluating WNS risk based on genetic distance and geographic proximity among hibernating colonies in eastern North America.

Use Cases

• Model WNS spread risk using genetic distance and geographic proximity between infected and susceptible bat colonies.
• Analyze continental-scale population genetic structure contrasts between eastern and western North American bat populations.
• Assess historical connectivity and dispersal patterns by examining genetic differentiation among hibernating colonies.
• Evaluate the relationship between landscape complexity, host dispersal, and pathogen spread using genetic and spatial data.

Strengths

• Data is associated with a published study testing a specific hypothesis on disease spread.
• Analysis spans the continental range of the little brown myotis, covering eastern and western North America.
• Dataset is openly licensed under CC0-1.0 for broad reuse.

Limitations

• Specific data structure, column names, row counts, and file formats are unknown from the provided input.
• The dataset's last update was in 2020, so it may not reflect the most current status of WNS spread or genetic data.
• The analysis focuses primarily on a single host species, which may limit generalizability to other bat species affected by WNS.

Provenance

Source

Dryad digital repository.

Collection Method

Genetic analysis and disease surveillance data collected to test logistic regression models of WNS risk.

Time Range

null

Freshness

Last updated on 2020-06-24.

Geography

Eastern and continental North America, focusing on hibernating colonies of the little brown myotis.