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Towards reconstructing a metabolic tree of life
Using information from several metabolic databases, we have built our own metabolic database containing 434 pathways and 1157 different enzymes. We have used this information to construct a dendrogram that demonstrates the metabolic similarities between 282 species. The resulting species distributio...
Autores principales: | , , , |
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Formato: | Texto |
Lenguaje: | English |
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Biomedical Informatics Publishing Group
2007
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2255071/ https://www.ncbi.nlm.nih.gov/pubmed/21670791 |
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author | Marcet-Houben, Marina Puigbò, Pere Romeu, Antoni Garcia-Vallve, Santiago |
author_facet | Marcet-Houben, Marina Puigbò, Pere Romeu, Antoni Garcia-Vallve, Santiago |
author_sort | Marcet-Houben, Marina |
collection | PubMed |
description | Using information from several metabolic databases, we have built our own metabolic database containing 434 pathways and 1157 different enzymes. We have used this information to construct a dendrogram that demonstrates the metabolic similarities between 282 species. The resulting species distribution and the clusters defined in the tree show a certain taxonomic congruence, especially in recent relationships between species. This dendrogram is another representation of the tree of life, based on metabolism that may complement the trees constructed by other methods. For example, the metabolic dissimilarity we demonstrate between Symbiobacterium thermophilum (previously defined as Actinobacteria) and the other Actinobacteria species, and the metabolic similarity between S. thermophilum and Clostridia, combined with other evidence, suggest that S. thermophilum may be re-classified as Firmicutes, Clostridia. |
format | Text |
id | pubmed-2255071 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2007 |
publisher | Biomedical Informatics Publishing Group |
record_format | MEDLINE/PubMed |
spelling | pubmed-22550712008-02-27 Towards reconstructing a metabolic tree of life Marcet-Houben, Marina Puigbò, Pere Romeu, Antoni Garcia-Vallve, Santiago Bioinformation Hypothesis Using information from several metabolic databases, we have built our own metabolic database containing 434 pathways and 1157 different enzymes. We have used this information to construct a dendrogram that demonstrates the metabolic similarities between 282 species. The resulting species distribution and the clusters defined in the tree show a certain taxonomic congruence, especially in recent relationships between species. This dendrogram is another representation of the tree of life, based on metabolism that may complement the trees constructed by other methods. For example, the metabolic dissimilarity we demonstrate between Symbiobacterium thermophilum (previously defined as Actinobacteria) and the other Actinobacteria species, and the metabolic similarity between S. thermophilum and Clostridia, combined with other evidence, suggest that S. thermophilum may be re-classified as Firmicutes, Clostridia. Biomedical Informatics Publishing Group 2007-12-11 /pmc/articles/PMC2255071/ /pubmed/21670791 Text en © 2007 Biomedical Informatics Publishing Group This is an open-access article, which permits unrestricted use, distribution, and reproduction in any medium, for non-commercial purposes, provided the original author and source are credited. |
spellingShingle | Hypothesis Marcet-Houben, Marina Puigbò, Pere Romeu, Antoni Garcia-Vallve, Santiago Towards reconstructing a metabolic tree of life |
title | Towards reconstructing a metabolic tree of life |
title_full | Towards reconstructing a metabolic tree of life |
title_fullStr | Towards reconstructing a metabolic tree of life |
title_full_unstemmed | Towards reconstructing a metabolic tree of life |
title_short | Towards reconstructing a metabolic tree of life |
title_sort | towards reconstructing a metabolic tree of life |
topic | Hypothesis |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC2255071/ https://www.ncbi.nlm.nih.gov/pubmed/21670791 |
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