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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 ref...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2018
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6017379/ https://www.ncbi.nlm.nih.gov/pubmed/29473850 http://dx.doi.org/10.3390/molecules23020486 |
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author | Huang, Yiran Zhong, Cheng Lin, Hai Xiang Wang, Jianyi Peng, Yuzhong |
author_facet | Huang, Yiran Zhong, Cheng Lin, Hai Xiang Wang, Jianyi Peng, Yuzhong |
author_sort | Huang, Yiran |
collection | PubMed |
description | 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. |
format | Online Article Text |
id | pubmed-6017379 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2018 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-60173792018-11-13 Reconstructing Phylogeny by Aligning Multiple Metabolic Pathways Using Functional Module Mapping Huang, Yiran Zhong, Cheng Lin, Hai Xiang Wang, Jianyi Peng, Yuzhong Molecules Article 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. MDPI 2018-02-23 /pmc/articles/PMC6017379/ /pubmed/29473850 http://dx.doi.org/10.3390/molecules23020486 Text en © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Huang, Yiran Zhong, Cheng Lin, Hai Xiang Wang, Jianyi Peng, Yuzhong Reconstructing Phylogeny by Aligning Multiple Metabolic Pathways Using Functional Module Mapping |
title | Reconstructing Phylogeny by Aligning Multiple Metabolic Pathways Using Functional Module Mapping |
title_full | Reconstructing Phylogeny by Aligning Multiple Metabolic Pathways Using Functional Module Mapping |
title_fullStr | Reconstructing Phylogeny by Aligning Multiple Metabolic Pathways Using Functional Module Mapping |
title_full_unstemmed | Reconstructing Phylogeny by Aligning Multiple Metabolic Pathways Using Functional Module Mapping |
title_short | Reconstructing Phylogeny by Aligning Multiple Metabolic Pathways Using Functional Module Mapping |
title_sort | reconstructing phylogeny by aligning multiple metabolic pathways using functional module mapping |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6017379/ https://www.ncbi.nlm.nih.gov/pubmed/29473850 http://dx.doi.org/10.3390/molecules23020486 |
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