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A Permutation Test of Host-Parasite Cospeciation
Author(s) -
Kerstin Hommola,
J. E. Smith,
Yiqi Qiu,
Walter R. Gilks
Publication year - 2009
Publication title -
molecular biology and evolution
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 6.637
H-Index - 218
eISSN - 1537-1719
pISSN - 0737-4038
DOI - 10.1093/molbev/msp062
Subject(s) - biology , resampling , host (biology) , coevolution , null hypothesis , parasite hosting , statistical hypothesis testing , statistical power , evolutionary biology , permutation (music) , alternative hypothesis , statistics , mathematics , genetics , computer science , physics , world wide web , acoustics
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.

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