Maize Chromosome Five QTL Mapping Data for Domestication Traits

This dataset contains genetic mapping data from a QTL study focused on chromosome five in maize and its wild progenitor, teosinte. The research identified multiple linked QTL of small effect influencing domestication traits, with the smallest QTL support interval containing 54 candidate genes. The analysis used simulated trait data to evaluate mapping power, finding the population design can detect approximately 4.5 QTL per trait even with many underlying causal genes.

Use Cases

• Identify candidate genes within the 1.5 LOD support interval containing 54 genes, such as the MADS MIKCC transcription factor, for functional validation studies.
• Analyze the relationship between multiple linked QTL of small effect and several domestication traits to understand polygenic adaptation.
• Use the simulated trait datasets to benchmark QTL mapping power and assess the detection limit of approximately 4.5 QTL per trait in similar population designs.
• Compare the genetic architecture on chromosome five, characterized by multiple small-effect QTL, to other major domestication loci in maize governed by single large-effect genes.

Strengths

• Data originates from a targeted QTL mapping population specific to chromosome five, enabling focused analysis of a key genomic region.
• The study includes simulated trait datasets, providing a basis for evaluating the statistical power and limitations of the mapping approach.
• Findings are grounded in a specific biological context, identifying a MADS MIKCC transcription factor among 54 genes in the smallest QTL interval.

Limitations

• The specific data format, column structure, row count, and file size are unknown, complicating assessment of data volume and direct usability.
• The mapping population design has a detection limit, accurately mapping single-gene QTL but simplifying traits controlled by 5 or more genes to ~4.5 detected QTL.
• The dataset is focused solely on a single chromosome region in maize, limiting broader genomic inferences without complementary data from other chromosomes.

Provenance

Source

Dryad digital repository.

Collection Method

Generated from a QTL mapping population of maize and teosinte, analyzed alongside simulated trait datasets.

Freshness

Last updated on 2020-06-24.