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Gene complexity and gene duplicability.
1Department of Ecology and Evolutionary Biology, University of Michigan, Ann Arbor 48109, USA.
Current Biology : CB
|June 7, 2005
Summary
Gene duplication in eukaryotes increases gene complexity, favoring longer proteins and more functional domains. This process enhances genomic and organismal complexity through sub- and neofunctionalization.
Area of Science:
- Genomics
- Evolutionary Biology
- Molecular Biology
Background:
- Eukaryotic genes exhibit greater complexity than prokaryotic genes in regulation, protein length, and domain structure.
- Eukaryotes demonstrate a higher frequency of gene duplication compared to prokaryotes, a key mechanism for generating new genes.
Purpose of the Study:
- To investigate the hypothesis that gene duplication preferentially duplicates complex genes, thereby increasing average genome complexity.
- To examine the relationship between gene complexity and gene duplicability using yeast genomic data.
Main Methods:
- Analysis of yeast genomic data to compare duplicate genes (from whole-genome or individual-gene duplication) with singleton genes.
- Assessment of protein sequence length, number of functional domains, and cis-regulatory motifs in duplicate versus singleton genes.
Main Results:
- Duplicate genes, on average, possess longer protein sequences, more functional domains, and more cis-regulatory motifs than singleton genes.
- This complexity increase is independent of known factors influencing gene duplicability, such as protein function, evolutionary rate, and dosage.
- The observed phenomenon is attributed to sub-neo-functionalization, where complex genes are retained post-duplication and regain complexity.
Conclusions:
- Gene duplication in eukaryotes not only increases gene number but also enhances gene complexity.
- The sub-neo-functionalization process plays a crucial role in retaining and evolving gene complexity after duplication.
- Increased gene number and complexity contribute significantly to the evolution of genomic and organismal complexity.