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PMID: 20018669 Published · ppublish English Journal Article Research Support, N.I.H., Extramural Research Support, Non-U.S. Gov't

Whole-proteome phylogeny of prokaryotes by feature frequency profiles: An alignment-free method with optimal feature resolution.

Jun SR, Sims GE, Wu GA, Kim SH

Abstract

We present a whole-proteome phylogeny of prokaryotes constructed by comparing feature frequency profiles (FFPs) of whole proteomes. Features are l-mers of amino acids, and each organism is represented by a profile of frequencies of all features. The selection of feature length is critical in the FFP method, and we have developed a procedure for identifying the optimal feature lengths for inferring the phylogeny of prokaryotes, strictly speaking, a proteome phylogeny. Our FFP trees are constructed with whole proteomes of 884 prokaryotes, 16 unicellular eukaryotes, and 2 random sequences. To highlight the branching order of major groups, we present a simplified proteome FFP tree of monophyletic class or phylum with branch support. In our whole-proteome FFP trees (i) Archaea, Bacteria, Eukaryota, and a random sequence outgroup are clearly separated; (ii) Archaea and Bacteria form a sister group when rooted with random sequences; (iii) Planctomycetes, which possesses an intracellular membrane compartment, is placed at the basal position of the Bacteria domain; (iv) almost all groups are monophyletic in prokaryotes at most taxonomic levels, but many differences in the branching order of major groups are observed between our proteome FFP tree and trees built with other methods; and (v) previously "unclassified" genomes may be assigned to the most likely taxa. We describe notable similarities and differences between our FFP trees and those based on other methods in grouping and phylogeny of prokaryotes.

MeSH Terms
Genome Phylogeny Prokaryotic Cells/classification,physiology Proteome/genetics Proteomics/methods Sequence Alignment/methods Sequence Analysis, Protein/methods
Chemicals
Proteome
Authors & Affiliations
4 authors, click to expand affiliations / ORCID
Jun Se-Ran
Department of Chemistry, University of California, Berkeley, CA 94720, USA.
Sims Gregory E
Wu Guohong A
Kim Sung-Hou
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Article Info
Journal
Proceedings of the National Academy of Sciences of the United States of America
Abbr.
Proc Natl Acad Sci U S A
ISSN
1091-6490
Published
2010-01-05
Epub
2009-00-14
Pages
133-8
Language
English
Region
United States
NLM ID
7505876
PMCID
PMC2806744
Subset
IM
Grants
NIGMS NIH HHS · P50 GM062412 · United States
NIGMS NIH HHS · GM62412 · United States
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