GENESPACE

GENESPACE integrates synteny and orthology to define expected physical gene positions across multiple eukaryotic genomes for comparative genomics analyses.

Key Features:

• Integration of Conserved Gene Order and Orthology: Integrates conserved gene order (synteny) and orthology to define expected physical positions of genes across genomes.
• Handling Complex Genomes: Handles complex genomes including polyploid and outbred species to improve comparative analyses where traditional gene family and synteny programs may struggle.
• Visualization of Syntenic Orthology: Builds and visualizes syntenic orthology relationships to explore genomic architecture and correspondence across genomes.
• Gene Mapping for QTL Candidate Identification: Maps genes across diverse genomes to support identification of candidate genes underlying quantitative trait loci (QTL).
• Variation Characterization: Characterizes presence-absence variation, copy-number variation, and structural variations across genomes.
• Comparative Analyses Across Taxa: Supports comparative genomics across taxonomic groups, including vertebrates, the Poaceae (grasses), and maize cultivars.

Scientific Applications:

• Chromosome Structure Evolution: Analyzes conserved gene order to study chromosome structure evolution over deep timescales, including ~300 million years of vertebrate sex chromosome evolution.
• Identification of Candidate Genes for QTL: Maps genes across genomes to identify candidate genes associated with quantitative trait loci (QTL) for genetic and breeding studies.
• Speciation and Adaptation Hypotheses Testing: Compares presence-absence variation, copy-number variation, and structural variations to test hypotheses of speciation and adaptation.
• Comparative Genomics Across Taxonomic Groups: Enables comparative analyses demonstrated in vertebrate evolution, diversity within the Poaceae, and among maize cultivars.

Methodology:

Integrates synteny (conserved gene order) and orthology data to define expected physical gene positions across multiple genomes.