OHNOLOGS v2
OHNOLOGS v2 identifies and catalogs vertebrate ohnologs originating from the two rounds of whole-genome duplication (2R-WGD) and the teleost-specific third round (3R-WGD) by leveraging synteny comparisons across 27 vertebrate genomes to support evolutionary genomic analyses.
Key Features:
- Expanded Genome Coverage: Performs synteny comparisons across 27 vertebrate genomes to refine identification of ohnologs from 2R- and 3R-WGD.
- Phylogenetically Informed Analysis: Accounts for phylogenetic biases in species sampling to represent ohnolog retention across lineages and accommodate lineage-specific genome rearrangements.
- Comprehensive Database: Assembles pairs and families of vertebrate ohnologs into an expanded database for evolutionary genomic analyses.
- Comparative Insights: Reveals retention patterns such as higher retention of 2R-ohnologs in teleost fish compared to mammals and sauropsids, and that 2R-ohnologs in teleosts more often preserve additional 3R-WGD genes, while species with fewer extant genes (e.g., sauropsids) can show equal or higher proportions of ohnolog retention.
Scientific Applications:
- Evolutionary Biology: Enables analysis of how 2R- and 3R-WGD events contributed to vertebrate diversity and complexity.
- Genomics and Genetics: Supports studies of gene retention, genome evolution, and the effects of lineage-specific rearrangements on gene families.
- Development and Disease Research: Facilitates investigation of ohnolog roles in development and disease susceptibility, informing biomedical research.
Methodology:
Implements a synteny comparison approach across multiple genomes to refine identification of ohnologs from 2R- and 3R-WGD while addressing lineage-specific genome rearrangements.
Topics
Details
- Tool Type:
- web application
- Programming Languages:
- R, Perl
- Added:
- 1/9/2020
- Last Updated:
- 11/24/2024
Operations
Publications
Singh PP, Isambert H. OHNOLOGS v2: a comprehensive resource for the genes retained from whole genome duplication in vertebrates. Nucleic Acids Research. 2019. doi:10.1093/nar/gkz909. PMID:31612943. PMCID:PMC7145513.