JOURNAL ARTICLE
RESEARCH SUPPORT, NON-U.S. GOV'T
Add like
Add dislike
Add to saved papers

Statistical tests between competing hypotheses of Hox cluster evolution.

Systematic Biology 2008 October
The Hox genes encode transcription factors that play vital roles in the anterior-posterior patterning of all bilaterian phyla studied to date. Additionally, the gain of Hox genes by duplication has been widely implicated as a driving force in the evolution of animal body plans. Because of this, reconstructing the evolution of the Hox cluster has been the focus of intense research interest. It has been commonly assumed that an ancestral four-gene ProtoHox cluster was duplicated early in animal evolution to give rise to the Hox and ParaHox clusters. However, this hypothesis has recently been called into question, and a number of alternative hypotheses of Hox and ParaHox gene evolution have been proposed. Here, we present the first statistical comparisons of current hypotheses of Hox and ParaHox gene evolution. We use two statistical methods that represent two different approaches to the treatment of phylogenetic uncertainty. In the first method, we estimate the maximum-likelihood tree for each hypothesis and compare these trees to one another using a parametric bootstrapping approach. In the second method, we use Bayesian phylogenetics to estimate the posterior distribution of trees, then we calculate the support for each hypothesis from this distribution. The results of both methods are largely congruent. We find that we are able to reject five out of the eight current hypotheses of Hox and ParaHox gene evolution that we consider. We conclude that the ProtoHox cluster is likely to have contained either three or four genes but that there is insufficient phylogenetic signal in the homeodomains to distinguish between these alternatives.

Full text links

We have located links that may give you full text access.
Can't access the paper?
Try logging in through your university/institutional subscription. For a smoother one-click institutional access experience, please use our mobile app.

Related Resources

For the best experience, use the Read mobile app

Mobile app image

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app

All material on this website is protected by copyright, Copyright © 1994-2024 by WebMD LLC.
This website also contains material copyrighted by 3rd parties.

By using this service, you agree to our terms of use and privacy policy.

Your Privacy Choices Toggle icon

You can now claim free CME credits for this literature searchClaim now

Get seemless 1-tap access through your institution/university

For the best experience, use the Read mobile app