MBE Advance Access originally published online on March 20, 2007
Molecular Biology and Evolution 2007 24(6):1312-1319; doi:10.1093/molbev/msm052
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Research Articles |
A Likelihood Framework to Measure Horizontal Gene Transfer
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* Department of Bioinformatics, Heinrich-Heine-University, Düsseldorf, Germany
Center for Integrative Bioinformatics Vienna, Max F. Preutz Laboratories, Vienna, Austria
University of Vienna, Vienna, Austria
Medical University of Vienna, Vienna, Austria
|| University of Veterinary Medicine Vienna, Vienna, Austria
E-mail: linz{at}cs.uni-duesseldorf.de.
Accepted for publication March 15, 2007.
We suggest a likelihood-based approach to estimate an overall rate of horizontal gene transfer (HGT) in a simplified setting. To this end, we assume that the number of occurring HGT events within a given time interval follows a Poisson process. To obtain estimates for the rate of HGT, we simulate the distribution of tree topologies for different numbers of HGT events on a clocklike species tree. Using these simulated distributions, we estimate an HGT rate for a collection of gene trees representing a set of taxa. As an illustrative example, we use the "Clusters of Orthologous Groups of proteins" (COGs). We also perform a correction of the estimated rate taking into account the inaccuracies due to gene tree reconstructions. The results suggest a corrected HGT rate of about 0.36 per gene and unit time, in other words 11 HGT events have occurred on average among the 44 taxa of the COG species tree. A software package to estimate an HGT rate is available online (http://www.cibiv.at/software/hgt/).
Key Words: horizontal gene transfer gene tree species tree nontree-like evolution
Martin Embley, Associate Editor
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