Reconstructing Phylogeny by Aligning Multiple Metabolic Pathways Using Functional Module Mapping

Comparison of metabolic pathways provides a systematic way for understanding the evolutionary and phylogenetic relationships in systems biology. Although a number of phylogenetic methods have been developed, few efforts have been made to provide a unified phylogenetic framework that sufficiently reflects the metabolic features of organisms. In this paper, we propose a phylogenetic framework that characterizes the metabolic features of organisms by aligning multiple metabolic pathways using functional module mapping. Our method transforms the alignment of multiple metabolic pathways into constructing the union graph of pathways, builds mappings between functional modules of pathways in the union graph, and infers phylogenetic relationships among organisms based on module mappings. Experimental results show that the use of functional module mapping enables us to correctly categorize organisms into main categories with specific metabolic characteristics. Traditional genome-based phylogenetic methods can reconstruct phylogenetic relationships, whereas our method can offer in-depth metabolic analysis for phylogenetic reconstruction, which can add insights into traditional phyletic reconstruction. The results also demonstrate that our phylogenetic trees are closer to the classic classifications in comparison to existing classification methods using metabolic pathway data.

[1]  Runsheng Chen,et al.  Phylophenetic properties of metabolic pathway topologies as revealed by global analysis , 2006, BMC Bioinformatics.

[2]  Kenji Satou,et al.  Reconstruction of phylogenetic relationships from metabolic pathways based on the enzyme hierarchy and the gene ontology. , 2005, Genome informatics. International Conference on Genome Informatics.

[3]  Delbert Dueck,et al.  Clustering by Passing Messages Between Data Points , 2007, Science.

[4]  Roderic D M Page,et al.  Visualizing Phylogenetic Trees Using TreeView , 2003, Current protocols in bioinformatics.

[5]  Piotr Sankowski,et al.  Maximum weight bipartite matching in matrix multiplication time , 2009, Theor. Comput. Sci..

[6]  Ambuj K. Singh,et al.  Deriving phylogenetic trees from the similarity analysis of metabolic pathways , 2003, ISMB.

[7]  Chuan Yi Tang,et al.  Reconstruction of phyletic trees by global alignment of multiple metabolic networks , 2013, BMC Bioinformatics.

[8]  Sen Zhang,et al.  Unordered tree mining with applications to phylogeny , 2004, Proceedings. 20th International Conference on Data Engineering.

[9]  M. Feldman,et al.  Large-scale reconstruction and phylogenetic analysis of metabolic environments , 2008, Proceedings of the National Academy of Sciences.

[10]  Ron Y. Pinter,et al.  Alignment of metabolic pathways , 2005, Bioinform..

[11]  K. Schulten,et al.  Phylogenetic Analysis of Metabolic Pathways , 2001, Journal of Molecular Evolution.

[12]  Masanori Arita,et al.  Reconstructing phylogeny from metabolic substrate-product relationships , 2011, BMC Bioinformatics.

[13]  M. Kanehisa,et al.  Development of a chemical structure comparison method for integrated analysis of chemical and genomic information in the metabolic pathways. , 2003, Journal of the American Chemical Society.

[14]  Bonnie Berger,et al.  IsoRankN: spectral methods for global alignment of multiple protein networks , 2009, Bioinform..

[15]  Susumu Goto,et al.  Data, information, knowledge and principle: back to metabolism in KEGG , 2013, Nucleic Acids Res..

[16]  Yiran Huang,et al.  Aligning Metabolic Pathways Exploiting Binary Relation of Reactions , 2016, PloS one.

[17]  Marta Simeoni,et al.  MP-Align: alignment of metabolic pathways , 2014, BMC Systems Biology.

[18]  Kenji Satou,et al.  Phylogenetic reconstruction from non-genomic data , 2007, Bioinform..

[19]  Byoung-Tak Zhang,et al.  Construction of phylogenetic trees by kernel-based comparative analysis of metabolic networks , 2006, BMC Bioinformatics.

[20]  Tamer Kahveci,et al.  SubMAP: Aligning Metabolic Pathways with Subnetwork Mappings , 2010, J. Comput. Biol..

[21]  Danail Bonchev,et al.  Phylogenetic distances are encoded in networks of interacting pathways , 2008, Bioinform..

[22]  Ron Y. Pinter,et al.  Comparative classification of species and the study of pathway evolution based on the alignment of metabolic pathways , 2010, BMC Bioinformatics.

[23]  Yiran Huang,et al.  A Method for Finding Metabolic Pathways Using Atomic Group Tracking , 2017, PloS one.