Thermal Adaptation Data for Invasive Whitefly Populations in Colombia

Data from a study on the invasive whitefly Bemisia tabaci in tropical Colombia tests for genetic divergence in thermal responses. The dataset includes heritable variation in survival and fecundity under temperature stress, with findings indicating rapid adaptation linked to local mean temperature and temperature variation. Phenotypic divergence for survival after a sublethal heat shock was greater than neutral genetic expectations.

Use Cases

• Analyze the relationship between local mean temperature and survival after a sublethal heat shock across different whitefly populations.
• Model the impact of local temperature variation on fecundity after heat shocks to understand adaptive divergence.
• Compare phenotypic divergence (QST) with neutral genetic divergence (FST) for survival and fecundity traits to detect signs of selection.
• Investigate the link between thermal adaptation traits and the invasive success of Bemisia tabaci as a pest species.

Strengths

• Data supports findings of significant phenotypic divergence (QST > FST) for key thermal response traits.
• Study focuses on a recent invasion in a distinct geographic region (tropical Colombia), providing context for rapid adaptation.
• Dataset includes multiple measured traits: survival after heat shock and fecundity after heat shock.

Limitations

• Sample size and number of measured populations are not specified, limiting assessment of statistical power.
• Data is static from a specific study published in 2020, with no indication of ongoing updates or expansion.
• Raw experimental data (e.g., individual measurements, column names) is not described in the provided input.

Provenance

Source

Dryad digital repository, authored by F. Díaz.

Collection Method

Experimental study measuring heritable variation in survival and fecundity under temperature stress across whitefly populations, compared with neutral microsatellite marker patterns.

Freshness

2020-06-24

Geography

Tropical Colombia.