Trends in Genetics
Volume 19, Issue 1, January 2003, Pages 2-5
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Research Focus
Vertebrate evolution: doubling and shuffling with a full deck

https://doi.org/10.1016/S0168-9525(02)00008-2Get rights and content

Abstract

The number and role of whole-genome duplications in vertebrate evolution has intrigued evolutionary biologists since Ohno first proposed genome duplication as the force driving the ‘big leap’ in vertebrate morphological innovation. Attempts to resolve these issues have been thwarted by small and noisy datasets, and by lack of computational accuracy and statistical rigor. Recently, Ken Wolfe and colleagues presented a genome-scale, statistically rigorous analysis of evidence based on the spatial organization of duplicated genes, as well as estimates of duplication times. Their results provide the strongest evidence to date of large-scale duplication throughout the vertebrate genome, consistent with at least one whole-genome duplication.

Section snippets

Testable predictions of 2R

Proposed testable predictions of the 2R hypothesis fall into two categories, spatial and temporal. Spatial analyses are based on the contention that local similarities in gene content should still be discernible in the modern genome, despite extensive rearrangement and gene loss following polyploidization. However, conserved synteny (see Glossary) between paralogous genes, presented in early studies, is not constitute rigorous proof of polyploidization [4]. More recent studies 4, 7, 8 report

Computational genome scale analysis

In the absence of a complete vertebrate genome sequence, previous studies relied on partial datasets. Now that the whole-genome sequence for human is available, can 2R be resolved? The careful study presented by McLysaght et al. [14], based on a comprehensive spatial and temporal approach, addresses many of the problems that plagued earlier analyses. McLysaght et al. use Monte Carlo significance testing to validate the spatial results, and they validate the temporal evidence by estimating gene

New results and remaining challenges

The picture that emerges is of widespread, large-scale duplication, be it polyploidy, aneuploidy (chromosomal duplication) or many sub-chromosomal duplications, followed by substantial gene loss. These conclusions are supported by both the spatial and the temporal evidence. Forty-four percent of the genome was covered by 96 paralogons with sm≥6, and a majority of the genes analyzed were duplicated during the period 0.4D–0.7D, where D is the time since the fly–vertebrate split. This is

Can 2R be resolved?

The results presented by McLysaght et al., as well as those of other genome-scale studies 6, 7, 9, are consistent with at least one round of polyploidization, but could also be explained by many smaller block duplications and do not strongly support 2R. Resolution of the alternative hypotheses will be helped by more sequence data of greater accuracy, including better assembly and gene prediction for the human genome, additional vertebrate genomes, additional invertebrate outgroup genomes and

Beyond 2R

Although recent studies have focused on 2R, Ohno's seminal work [1] also presented a broader vision of whole-genome duplication as a force that could enable the leap in morphological and developmental complexity seen in modern vertebrates. Since 1970, genomics has revealed several other mechanisms that promote diversity of protein function on a genomic scale, including alternative splicing [19] and domain shuffling [6]. Widespread segmental duplication and domain accretion (recently reported by

Acknowledgements

I thank C. Beshers, L. Hurst, E.W. Jones, A.J. Lopez and D. Sankoff for helpful comments. I was supported by NIH grant 1 K22 HG 02451-01 and a David and Lucille Packard Foundation fellowship.

Glossary

Glossary

Conserved synteny:
In a comparative map, the co-occurrence of homologous genes on the same chromosome in both genomes.
Gene conversion:
Nonreciprocal recombination resulting in identical subsequences on both chromosomes.
Molecular clock:
The hypothesis that the accepted mutation rate is roughly constant in all lineages.
Monte Carlo significance testing:
An approach to hypothesis testing in which the distribution of the test statistic under the null hypothesis is simulated using randomization.

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