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Functional phylogenomics analysis of bacteria and archaea using consistent genome annotation with UniFam
BACKGROUND: Phylogenetic studies have provided detailed knowledge on the evolutionary mechanisms of genes and species in Bacteria and Archaea. However, the evolution of cellular functions, represented by metabolic pathways and biological processes, has not been systematically characterized. Many cla...
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
BioMed Central
2014
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194380/ https://www.ncbi.nlm.nih.gov/pubmed/25293379 http://dx.doi.org/10.1186/s12862-014-0207-y |
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author | Chai, Juanjuan Kora, Guruprasad Ahn, Tae-Hyuk Hyatt, Doug Pan, Chongle |
author_facet | Chai, Juanjuan Kora, Guruprasad Ahn, Tae-Hyuk Hyatt, Doug Pan, Chongle |
author_sort | Chai, Juanjuan |
collection | PubMed |
description | BACKGROUND: Phylogenetic studies have provided detailed knowledge on the evolutionary mechanisms of genes and species in Bacteria and Archaea. However, the evolution of cellular functions, represented by metabolic pathways and biological processes, has not been systematically characterized. Many clades in the prokaryotic tree of life have now been covered by sequenced genomes in GenBank. This enables a large-scale functional phylogenomics study of many computationally inferred cellular functions across all sequenced prokaryotes. RESULTS: A total of 14,727 GenBank prokaryotic genomes were re-annotated using a new protein family database, UniFam, to obtain consistent functional annotations for accurate comparison. The functional profile of a genome was represented by the biological process Gene Ontology (GO) terms in its annotation. The GO term enrichment analysis differentiated the functional profiles between selected archaeal taxa. 706 prokaryotic metabolic pathways were inferred from these genomes using Pathway Tools and MetaCyc. The consistency between the distribution of metabolic pathways in the genomes and the phylogenetic tree of the genomes was measured using parsimony scores and retention indices. The ancestral functional profiles at the internal nodes of the phylogenetic tree were reconstructed to track the gains and losses of metabolic pathways in evolutionary history. CONCLUSIONS: Our functional phylogenomics analysis shows divergent functional profiles of taxa and clades. Such function-phylogeny correlation stems from a set of clade-specific cellular functions with low parsimony scores. On the other hand, many cellular functions are sparsely dispersed across many clades with high parsimony scores. These different types of cellular functions have distinct evolutionary patterns reconstructed from the prokaryotic tree. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12862-014-0207-y) contains supplementary material, which is available to authorized users. |
format | Online Article Text |
id | pubmed-4194380 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2014 |
publisher | BioMed Central |
record_format | MEDLINE/PubMed |
spelling | pubmed-41943802014-10-14 Functional phylogenomics analysis of bacteria and archaea using consistent genome annotation with UniFam Chai, Juanjuan Kora, Guruprasad Ahn, Tae-Hyuk Hyatt, Doug Pan, Chongle BMC Evol Biol Research Article BACKGROUND: Phylogenetic studies have provided detailed knowledge on the evolutionary mechanisms of genes and species in Bacteria and Archaea. However, the evolution of cellular functions, represented by metabolic pathways and biological processes, has not been systematically characterized. Many clades in the prokaryotic tree of life have now been covered by sequenced genomes in GenBank. This enables a large-scale functional phylogenomics study of many computationally inferred cellular functions across all sequenced prokaryotes. RESULTS: A total of 14,727 GenBank prokaryotic genomes were re-annotated using a new protein family database, UniFam, to obtain consistent functional annotations for accurate comparison. The functional profile of a genome was represented by the biological process Gene Ontology (GO) terms in its annotation. The GO term enrichment analysis differentiated the functional profiles between selected archaeal taxa. 706 prokaryotic metabolic pathways were inferred from these genomes using Pathway Tools and MetaCyc. The consistency between the distribution of metabolic pathways in the genomes and the phylogenetic tree of the genomes was measured using parsimony scores and retention indices. The ancestral functional profiles at the internal nodes of the phylogenetic tree were reconstructed to track the gains and losses of metabolic pathways in evolutionary history. CONCLUSIONS: Our functional phylogenomics analysis shows divergent functional profiles of taxa and clades. Such function-phylogeny correlation stems from a set of clade-specific cellular functions with low parsimony scores. On the other hand, many cellular functions are sparsely dispersed across many clades with high parsimony scores. These different types of cellular functions have distinct evolutionary patterns reconstructed from the prokaryotic tree. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1186/s12862-014-0207-y) contains supplementary material, which is available to authorized users. BioMed Central 2014-10-09 /pmc/articles/PMC4194380/ /pubmed/25293379 http://dx.doi.org/10.1186/s12862-014-0207-y Text en © Chai et al.; licensee BioMed Central Ltd. 2014 This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated. |
spellingShingle | Research Article Chai, Juanjuan Kora, Guruprasad Ahn, Tae-Hyuk Hyatt, Doug Pan, Chongle Functional phylogenomics analysis of bacteria and archaea using consistent genome annotation with UniFam |
title | Functional phylogenomics analysis of bacteria and archaea using consistent genome annotation with UniFam |
title_full | Functional phylogenomics analysis of bacteria and archaea using consistent genome annotation with UniFam |
title_fullStr | Functional phylogenomics analysis of bacteria and archaea using consistent genome annotation with UniFam |
title_full_unstemmed | Functional phylogenomics analysis of bacteria and archaea using consistent genome annotation with UniFam |
title_short | Functional phylogenomics analysis of bacteria and archaea using consistent genome annotation with UniFam |
title_sort | functional phylogenomics analysis of bacteria and archaea using consistent genome annotation with unifam |
topic | Research Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4194380/ https://www.ncbi.nlm.nih.gov/pubmed/25293379 http://dx.doi.org/10.1186/s12862-014-0207-y |
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