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Phylophenetic properties of metabolic pathway topologies as revealed by global analysis
BACKGROUND: 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 persp...
Autores principales: | , , , , , , , , , |
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Formato: | Texto |
Lenguaje: | English |
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BioMed Central
2006
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Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1483838/ https://www.ncbi.nlm.nih.gov/pubmed/16684350 http://dx.doi.org/10.1186/1471-2105-7-252 |
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author | Zhang, Yong Li, Shaojuan Skogerbø, Geir Zhang, Zhihua Zhu, Xiaopeng Zhang, Zefeng Sun, Shiwei Lu, Hongchao Shi, Baochen Chen, Runsheng |
author_facet | Zhang, Yong Li, Shaojuan Skogerbø, Geir Zhang, Zhihua Zhu, Xiaopeng Zhang, Zefeng Sun, Shiwei Lu, Hongchao Shi, Baochen Chen, Runsheng |
author_sort | Zhang, Yong |
collection | PubMed |
description | BACKGROUND: 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. RESULTS: 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. CONCLUSION: 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. |
format | Text |
id | pubmed-1483838 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2006 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-14838382006-07-10 Phylophenetic properties of metabolic pathway topologies as revealed by global analysis Zhang, Yong Li, Shaojuan Skogerbø, Geir Zhang, Zhihua Zhu, Xiaopeng Zhang, Zefeng Sun, Shiwei Lu, Hongchao Shi, Baochen Chen, Runsheng BMC Bioinformatics Research Article BACKGROUND: 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. RESULTS: 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. CONCLUSION: 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. BioMed Central 2006-05-09 /pmc/articles/PMC1483838/ /pubmed/16684350 http://dx.doi.org/10.1186/1471-2105-7-252 Text en Copyright © 2006 Zhang et al; licensee BioMed Central Ltd. http://creativecommons.org/licenses/by/2.0 This is an Open Access article distributed under the terms of the Creative Commons Attribution License ( (http://creativecommons.org/licenses/by/2.0) ), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. |
spellingShingle | Research Article Zhang, Yong Li, Shaojuan Skogerbø, Geir Zhang, Zhihua Zhu, Xiaopeng Zhang, Zefeng Sun, Shiwei Lu, Hongchao Shi, Baochen Chen, Runsheng Phylophenetic properties of metabolic pathway topologies as revealed by global analysis |
title | Phylophenetic properties of metabolic pathway topologies as revealed by global analysis |
title_full | Phylophenetic properties of metabolic pathway topologies as revealed by global analysis |
title_fullStr | Phylophenetic properties of metabolic pathway topologies as revealed by global analysis |
title_full_unstemmed | Phylophenetic properties of metabolic pathway topologies as revealed by global analysis |
title_short | Phylophenetic properties of metabolic pathway topologies as revealed by global analysis |
title_sort | phylophenetic properties of metabolic pathway topologies as revealed by global analysis |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC1483838/ https://www.ncbi.nlm.nih.gov/pubmed/16684350 http://dx.doi.org/10.1186/1471-2105-7-252 |
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