Literature DB >> 12220982

An automated phylogenetic key for classifying homeoboxes.

I Neil Sarkar1, Joseph W Thornton, Paul J Planet, David H Figurski, Bernd Schierwater, Rob DeSalle.   

Abstract

When novel gene sequences are discovered, they are usually identified, classified, and annotated based on aggregate measures of sequence similarity. This method is prone to errors, however. Phylogenetic analysis is a more accurate basis for gene classification and ortholog identification, but it is relatively labor-intensive and computationally demanding. Here we report and demonstrate a rapid new method for gene classification based on phylogenetic principles. Given the phylogeny of a minimal sample of gene family members, our method automatically identifies amino acids that are phylogenetically characteristic of each class of sequences in the family; it then classifies a novel sequence based on the presence of these characteristic attributes in its sequence. Using a subset of homeobox protein sequences as a test case, we show that our method approximates classification based on full-scale phylogenetic analysis with very high accuracy in a tiny fraction of the time.

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Year:  2002        PMID: 12220982     DOI: 10.1016/s1055-7903(02)00259-2

Source DB:  PubMed          Journal:  Mol Phylogenet Evol        ISSN: 1055-7903            Impact factor:   4.286


  39 in total

1.  Linking biomedical language information and knowledge resources: GO and UMLS.

Authors:  I N Sarkar; M N Cantor; R Gelman; F Hartel; Y A Lussier
Journal:  Pac Symp Biocomput       Date:  2003

Review 2.  The unholy trinity: taxonomy, species delimitation and DNA barcoding.

Authors:  Rob DeSalle; Mary G Egan; Mark Siddall
Journal:  Philos Trans R Soc Lond B Biol Sci       Date:  2005-10-29       Impact factor: 6.237

3.  Description of freshwater bacterial assemblages from the upper paraná river floodpulse system, Brazil.

Authors:  Michael J Lemke; E Kurt Lienau; Jean Rothe; Thomaz A Pagioro; Jeff Rosenfeld; Rob Desalle
Journal:  Microb Ecol       Date:  2008-06-28       Impact factor: 4.552

4.  Limited performance of DNA barcoding in a diverse community of tropical butterflies.

Authors:  Marianne Elias; Ryan I Hill; Keith R Willmott; Kanchon K Dasmahapatra; Andrew V Z Brower; James Mallet; Chris D Jiggins
Journal:  Proc Biol Sci       Date:  2007-11-22       Impact factor: 5.349

5.  MOTUs, Morphology, and Biodiversity Estimation: A Case Study Using Nematodes of the Suborder Criconematina and a Conserved 18S DNA Barcode.

Authors:  Thomas Powers; Timothy Harris; Rebecca Higgins; Peter Mullin; Lisa Sutton; Kirsten Powers
Journal:  J Nematol       Date:  2011-03       Impact factor: 1.402

6.  Pay Attention to the Overlooked Cryptic Diversity in Existing Barcoding Data: the Case of Mollusca with Character-Based DNA Barcoding.

Authors:  Shanmei Zou; Qi Li
Journal:  Mar Biotechnol (NY)       Date:  2016-02-22       Impact factor: 3.619

7.  Dissimilarity of species and forms of planktonic Neocalanus copepods using mitochondrial COI, 12S, nuclear ITS, and 28S gene sequences.

Authors:  Ryuji J Machida; Atsushi Tsuda
Journal:  PLoS One       Date:  2010-04-28       Impact factor: 3.240

8.  The real maccoyii: identifying tuna sushi with DNA barcodes--contrasting characteristic attributes and genetic distances.

Authors:  Jacob H Lowenstein; George Amato; Sergios-Orestis Kolokotronis
Journal:  PLoS One       Date:  2009-11-18       Impact factor: 3.240

9.  Oligonucleotide frequencies of barcoding loci can discriminate species across kingdoms.

Authors:  Antariksh Tyagi; Sumit K Bag; Virendra Shukla; Sribash Roy; Rakesh Tuli
Journal:  PLoS One       Date:  2010-08-20       Impact factor: 3.240

10.  Learning to classify species with barcodes.

Authors:  Paola Bertolazzi; Giovanni Felici; Emanuel Weitschek
Journal:  BMC Bioinformatics       Date:  2009-11-10       Impact factor: 3.169

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