Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Comparative Study
. 2005 Jun 1;21(11):2596-603.
doi: 10.1093/bioinformatics/bti325. Epub 2005 Feb 15.

Tree pattern matching in phylogenetic trees: automatic search for orthologs or paralogs in homologous gene sequence databases

Affiliations
Comparative Study

Tree pattern matching in phylogenetic trees: automatic search for orthologs or paralogs in homologous gene sequence databases

Jean-François Dufayard et al. Bioinformatics. .

Abstract

Motivation: Comparative sequence analysis is widely used to study genome function and evolution. This approach first requires the identification of homologous genes and then the interpretation of their homology relationships (orthology or paralogy). To provide help in this complex task, we developed three databases of homologous genes containing sequences, multiple alignments and phylogenetic trees: HOBACGEN, HOVERGEN and HOGENOM. In this paper, we present two new tools for automating the search for orthologs or paralogs in these databases.

Results: First, we have developed and implemented an algorithm to infer speciation and duplication events by comparison of gene and species trees (tree reconciliation). Second, we have developed a general method to search in our databases the gene families for which the tree topology matches a peculiar tree pattern. This algorithm of unordered tree pattern matching has been implemented in the FamFetch graphical interface. With the help of a graphical editor, the user can specify the topology of the tree pattern, and set constraints on its nodes and leaves. Then, this pattern is compared with all the phylogenetic trees of the database, to retrieve the families in which one or several occurrences of this pattern are found. By specifying ad hoc patterns, it is therefore possible to identify orthologs in our databases.

PubMed Disclaimer

Similar articles

Cited by

  • Large-scale analysis of orthologs and paralogs under covarion-like and constant-but-different models of amino acid evolution.
    Studer RA, Robinson-Rechavi M. Studer RA, et al. Mol Biol Evol. 2010 Nov;27(11):2618-27. doi: 10.1093/molbev/msq149. Epub 2010 Jun 15. Mol Biol Evol. 2010. PMID: 20551039 Free PMC article.
  • iHam and pyHam: visualizing and processing hierarchical orthologous groups.
    Train CM, Pignatelli M, Altenhoff A, Dessimoz C. Train CM, et al. Bioinformatics. 2019 Jul 15;35(14):2504-2506. doi: 10.1093/bioinformatics/bty994. Bioinformatics. 2019. PMID: 30508066 Free PMC article.
  • Large-scale assignment of orthology: back to phylogenetics?
    Gabaldón T. Gabaldón T. Genome Biol. 2008 Oct 30;9(10):235. doi: 10.1186/gb-2008-9-10-235. Genome Biol. 2008. PMID: 18983710 Free PMC article. Review.
  • GreenPhylDB v5: a comparative pangenomic database for plant genomes.
    Valentin G, Abdel T, Gaëtan D, Jean-François D, Matthieu C, Mathieu R. Valentin G, et al. Nucleic Acids Res. 2021 Jan 8;49(D1):D1464-D1471. doi: 10.1093/nar/gkaa1068. Nucleic Acids Res. 2021. PMID: 33237299 Free PMC article.
  • Ensembl 2007.
    Hubbard TJ, Aken BL, Beal K, Ballester B, Caccamo M, Chen Y, Clarke L, Coates G, Cunningham F, Cutts T, Down T, Dyer SC, Fitzgerald S, Fernandez-Banet J, Graf S, Haider S, Hammond M, Herrero J, Holland R, Howe K, Howe K, Johnson N, Kahari A, Keefe D, Kokocinski F, Kulesha E, Lawson D, Longden I, Melsopp C, Megy K, Meidl P, Ouverdin B, Parker A, Prlic A, Rice S, Rios D, Schuster M, Sealy I, Severin J, Slater G, Smedley D, Spudich G, Trevanion S, Vilella A, Vogel J, White S, Wood M, Cox T, Curwen V, Durbin R, Fernandez-Suarez XM, Flicek P, Kasprzyk A, Proctor G, Searle S, Smith J, Ureta-Vidal A, Birney E. Hubbard TJ, et al. Nucleic Acids Res. 2007 Jan;35(Database issue):D610-7. doi: 10.1093/nar/gkl996. Epub 2006 Dec 5. Nucleic Acids Res. 2007. PMID: 17148474 Free PMC article.

Publication types