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MBE Advance Access published online on April 14, 2004
Molecular Biology and Evolution, doi:10.1093/molbev/msh138
Molecular Biology and Evolution © Society for Molecular Biology and Evolution 2004; all rights reserved
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Accepted March 18, 2004

Original Articles

Genome Phylogenetic Analysis Based on Extended Gene Contents

Xun Gu 1* Hongmei Zhang 2

1 Department of Genetics, Development, and Cell Biology, Iowa State University, Ames, IA 50011; Center for Bioinformatics and Biological Statistics, Iowa State University, Ames, IA 50011
2 Center for Bioinformatics and Biological Statistics, Iowa State University, Ames, IA 50011; Department of Mathematics and Statistics, University of West Florida, Pensacola, FL 32514

* To whom correspondence should be addressed. E-mail: xgu{at}iastate.edu.


  Abstract

With the rapid growth of entire genome data, whole-genome approaches such as gene content become popular for genome phylogeny inference, including the tree of life. However, the underlying model for genome evolution is unclear, and the proposed (ad hoc) genome distance measure may violate the additivity. In this paper, we formulate a stochastic framework for genome evolution, which provides a basis for defining an additive genome distance. However, we show that it is difficult to utilize the typical gene content data, i.e., the presence or absence of gene families across genomes, to estimate the genome distance. We solve this problem by introducing the concept of extended gene content, that is, the status of a gene family in a given genome could be either absence, presence as single-copy, or presence as duplicates, which can be used to estimate the genome distance and phylogenetic inference. Computer simulation shows that the new tree-making method is efficient, consistent, and fairly robust. The example of 35 microbial complete genomes demonstrates that it is useful not only to study the universal tree of life, but also to explore the evolutionary pattern of genomes.


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