The evolutionary demography of duplicate genes
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Although gene duplication has generally been viewed as a necessary source of material for the origin of evolutionary novelties, the rates of origin, loss, and preservation of gene duplicates are not well understood. Applying steady-state demographic techniques to the age distributions of duplicate genes censused in seven completely sequenced genomes, we estimate the average rate of duplication of a eukaryotic gene to be on the order of 0.01/gene/million years, which is of the same order of magnitude as the mutation rate per nucleotide site. However, the average half-life of duplicate genes is relatively small, on the order of 4.0 million years. Significant interspecific variation in these rates appears to be responsible for differences in species-specific genome sizes that arise as a consequence of a quasi-equilibrium birth-death process. Most duplicated genes experience a brief period of relaxed selection early in their history and a minority exhibit the signature of directional selection, but those that survive more than a few million years eventually experience strong purifying selection. Thus, although most theoretical work on the gene-duplication process has focused on issues related to adaptive evolution, the origin of a new function appears to be a very rare fate for a duplicate gene. A more significant role of the duplication process may be the generation of microchromosomal rearrangements through reciprocal silencing of alternative copies, which can lead to the passive origin of post-zygotic reproductive barriers in descendant lineages of incipient species.
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- The evolutionary demography of duplicate genes
- Book Title
- Genome Evolution
- Book Subtitle
- Gene and Genome Duplications and the Origin of Novel Gene Functions
- pp 35-44
- Print ISBN
- Online ISBN
- Springer Netherlands
- Copyright Holder
- Kluwer Academic Publishers
- Additional Links
- gene duplication
- genome evolution
- genome size
- eBook Packages
- Editor Affiliations
- 1. University of Konstanz
- 2. Ghent University
- Author Affiliations
- 3. Dept. of Biology, Indiana University, Bloomington, Indiana, 47405
- 4. Dept. of Computer and Information Science, University of Oregon Eugene, Oregon, 97403
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