GSAD

GSAD compiles and provides genome size and nuclear DNA content data for species in the Asteraceae to support phylogenetic and evolutionary analyses.

Key Features:

• Dataset size: 4,350 entries covering 1,496 Asteraceae species in the third release.
• Temporal coverage: Data compiled from publications up to July 2018.
• Source literature: Integrates measurements from 198 source papers, a 48.87% increase over the previous release.
• Release growth: Contains 22.52% more species and 57.72% more entries than the previous release.
• Genome content measures: Includes nuclear DNA content and genome size estimates for comparative analyses.
• Chromosome-level insights: Enables assessment of chromosome number effects, indicating polyploidy as the primary driver of genome size diversity and dysploidy producing minor DNA-content variations.
• Phylogenetic signal detection: Captures strong phylogenetic signal in genome size evolution among diploid taxa.
• Scale- and clade-dependent patterns: Identifies scale- and clade-dependent patterns and hotspots of autocorrelation between genome size and phylogeny.
• Trait associations: Supports analysis of associations between nuclear DNA content and phenotypic or ecological traits such as plant habit and invasion ability.

Scientific Applications:

• Phylogenetic genome-size evolution: Comparative analyses of genome size evolution across the Asteraceae phylogeny.
• Polyploidy versus dysploidy studies: Investigation of the relative contributions of polyploidy and dysploidy to genome size variation.
• Clade-specific pattern identification: Detection of clades that show autocorrelation between genome size and phylogeny.
• Trait–genome associations: Examination of links between nuclear DNA content and traits such as plant habit and invasion ability.

Methodology:

Compilation of genome size and nuclear DNA content entries from the literature (up to July 2018, 198 source papers) and analyses including phylogenetic assessments of signal and autocorrelation and comparisons of chromosome-number effects (polyploidy versus dysploidy).