Title
Phylophenetic properties of metabolic pathway topologies as revealed by global analysis.
Abstract
As phenotypic features derived from heritable characters, the topologies of metabolic pathways contain both phylogenetic and phenetic components. In the post-genomic era, it is possible to measure the "phylophenetic" contents of different pathways topologies from a global perspective.We reconstructed phylophenetic trees for all available metabolic pathways based on topological similarities, and compared them to the corresponding 16S rRNA-based trees. Similarity values for each pair of trees ranged from 0.044 to 0.297. Using the quartet method, single pathways trees were merged into a comprehensive tree containing information from a large part of the entire metabolic networks. This tree showed considerably higher similarity (0.386) to the corresponding 16S rRNA-based tree than any tree based on a single pathway, but was, on the other hand, sufficiently distinct to preserve unique phylogenetic information not reflected by the 16S rRNA tree.We observed that the topology of different metabolic pathways provided different phylogenetic and phenetic information, depicting the compromise between phylogenetic information and varying evolutionary pressures forming metabolic pathway topologies in different organisms. The phylogenetic information content of the comprehensive tree is substantially higher than that of any tree based on a single pathway, which also gave clues to constraints working on the topology of the global metabolic networks, information that is only partly reflected by the topologies of individual metabolic pathways.
Year
DOI
Venue
2006
10.1186/1471-2105-7-252
BMC Bioinformatics
Keywords
Field
DocType
metabolic pathway,global analysis,bioinformatics,information content,metabolic network,microarrays,algorithms
Phylogenetic tree,Biology,Metabolic pathway,Metabolic network,Network topology,Bioinformatics,RNA RIBOSOMAL 16S,Phylogenetics,Genetics,DNA microarray
Journal
Volume
Issue
ISSN
7
1
1471-2105
Citations 
PageRank 
References 
29
0.61
11
Authors
10
Name
Order
Citations
PageRank
Yong Zhang113913.89
Shaojuan Li2290.61
Geir Skogerbø318613.94
Zhihua Zhang419845.87
Xiaopeng Zhu5795.85
Zefeng Zhang69515.13
Shiwei Sun7724.38
Hongchao Lu8583.73
Baochen Shi9522.93
Runsheng Chen1040431.48