Phylogenomics Inference from Integrated Information

Recent progress in molecular biology has provided unprecedented opportunities and challenges for phylogenomics inference. Methods based on evolutionary information such as gene content and gene order have been widely used in this field. Nevertheless, each kind of individual information can only characterize specific evolutionary event of complete genome, not all the evolutionary information. In this study, a new method based on hybrid genome distance metric was proposed for phylogeny analysis. Firstly, three kinds of distance metrics were derived from pairwise complete genome sequences: gene content, breakpoint distance and mean identity. Secondly, they were fused into a hybrid distance metric by using sum rule. Finally, the hybrid information was employed to reconstruct phylogenetic tree. Experimental results on real dataset show that our approach is effective and reliable for phylogenetic inference.