Skip Navigation


MBE Advance Access originally published online on March 27, 2009
Molecular Biology and Evolution 2009 26(7):1457-1468; doi:10.1093/molbev/msp062
This Article
Right arrow Full Text
Right arrow Full Text (PDF)
Right arrow All Versions of this Article:
26/7/1457    most recent
msp062v1
Right arrow Alert me when this article is cited
Right arrow Alert me if a correction is posted
Services
Right arrow Email this article to a friend
Right arrow Similar articles in this journal
Right arrow Similar articles in PubMed
Right arrow Alert me to new issues of the journal
Right arrow Add to My Personal Archive
Right arrow Download to citation manager
Right arrowRequest Permissions
Google Scholar
Right arrow Articles by Hommola, K.
Right arrow Articles by Gilks, W. R.
PubMed
Right arrow PubMed Citation
Right arrow Articles by Hommola, K.
Right arrow Articles by Gilks, W. R.
Social Bookmarking
 Add to CiteULike   Add to Connotea   Add to Del.icio.us  
What's this?

© The Author 2009. Published by Oxford University Press on behalf of the Society for Molecular Biology and Evolution. All rights reserved. For permissions, please e-mail: journals.permissions@oxfordjournals.org

Research Articles

A Permutation Test of Host–Parasite Cospeciation

Kerstin Hommola*

Judith E. Smith{dagger}

Yang Qiu{dagger}

Walter R. Gilks*

* Department of Statistics, School of Mathematics, University of Leeds, Leeds, United Kingdom
{dagger} Institute of Integrative and Comparative Biology, Faculty of Biological Sciences, University of Leeds, Leeds, United Kingdom

E-mail: kerstin{at}maths.leeds.ac.uk.

Accepted for publication March 12, 2009.

We introduce a statistical method that explores host–parasite coevolution by testing the null hypothesis that hosts and their associated parasites evolved independently. This test is simple and intuitive and involves only suitable randomization of the observed data. It is not even necessary to construct host and parasite phylogenetic trees, as the test can be performed directly on distance matrices. Statistical power of the test was evaluated using simulated data consistent with the alternative hypothesis of cospeciation. Results were compared with the method of Mantel (1967) and the ParaFit method of Legendre et al. (2002). We observed that our method has greater power overall and thus a higher ability to detect cospeciation in closely related host–parasite systems. Our test was also successful when applied to the pocket gopher and chewing lice system.

Key Words: cospeciation • coevolution • host–parasite • permutation test • hypothesis test • statistical power • simulation


Arndt von Haeseler, Associate Editor


Add to CiteULike CiteULike   Add to Connotea Connotea   Add to Del.icio.us Del.icio.us    What's this?




Disclaimer: Please note that abstracts for content published before 1996 were created through digital scanning and may therefore not exactly replicate the text of the original print issues. All efforts have been made to ensure accuracy, but the Publisher will not be held responsible for any remaining inaccuracies. If you require any further clarification, please contact our Customer Services Department.