DNA Barcoding Data for European Oak Moths Highlighting Southern Sampling Bias

A study of DNA barcoding identification challenges using a group of Quercus herbivores (moths) in Europe as a model system. The research, authored by Álvaro Gaytán from Stockholm University, found a low proportion of barcodes from southern Europe in the Barcoding of Life Data Systems (BOLD). This geographical bias complicates species identification in genetically diverse southern regions, where GMYC models suggest the presence of cryptic species.

Use Cases

• Assessing geographical sampling bias in public genetic databases based on the described latitudinal coverage.
• Testing species delimitation algorithms (e.g., GMYC, ABGD, jMOTU) on datasets with known sampling gaps.
• Modeling the relationship between intra-specific genetic divergence and spatial distance, particularly across latitudinal gradients.
• Identifying potential cryptic species within genetically diverse but undersampled regions like southern European peninsulas.

Strengths

• Focuses on a concrete methodological problem in DNA barcoding: the effect of undersampling genetic diversity hotspots.
• Compares results from multiple species delimitation methods (GMYC, ABGD, jMOTU), providing a basis for methodological evaluation.
• Uses a specific model system (European oak moths) to illustrate the broader issue of geographical bias.

Limitations

• Column-level documentation is absent; field semantics must be inferred after download.
• Row count is unknown, which may limit suitability assessment.
• Data may reflect geographic bias inherent to paperswithcode, as the primary dataset (BOLD) is referenced but not directly provided.

Provenance

Source

Barcoding of Life Data Systems (BOLD), referenced in the study.

Collection Method

DNA barcoding analysis of moth specimens, with data likely aggregated from public BOLD records.

Geography

Europe, with specific focus on southern peninsulas (e.g., Iberia).