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GenomeHistory: a software tool and its application to fully sequenced genomes
Gavin C Conant1, Andreas Wagner
1Department of Biology, 167 Castetter Hall, The University of New Mexico, Albuquerque, NM 87131, USA. gconant@unm.edu
Nucleic Acids Research
|July 26, 2002
Summary
This study introduces GenomeHistory, a software tool for analyzing duplicate genes and their evolution. It reveals that gene function influences duplication rates, with ribosomal genes and transcription factors duplicating less frequently.
Area of Science:
- Genomics
- Evolutionary Biology
- Bioinformatics
Background:
- Gene duplication is a key driver of evolutionary innovation.
- Understanding duplication patterns and their functional consequences is crucial for evolutionary genomics.
Purpose of the Study:
- To develop and apply a software tool for identifying duplicate genes and quantifying their divergence.
- To investigate the relationship between gene function and duplication propensity.
- To explore the correlation between gene family size and evolutionary rate across different species.
Main Methods:
- Development of the publicly available GenomeHistory software tool.
- Analysis of complete genomes from four eukaryotes (yeast, fruit fly, nematode) and one prokaryote (E. coli).
- Quantification of synonymous and non-synonymous divergence between duplicate gene pairs.
Main Results:
- Identified specific gene classes, such as ribosomal genes and transcription factors, with lower duplication propensity.
- Observed a strong positive correlation between selective constraint and gene family size in yeast.
- Found a weakly negative correlation between selective constraint and gene family size in multicellular eukaryotes.
Conclusions:
- Gene function significantly impacts the likelihood of gene duplication.
- The relationship between gene family size and evolutionary rate varies across different life forms.
- GenomeHistory provides a valuable resource for studying gene duplication and genome evolution.