Literature DB >> 23248024

Analysis of phylogenetic signal in protostomial intron patterns using Mutual Information.

Natascha Hill1, Alexander Leow, Christoph Bleidorn, Detlef Groth, Ralph Tiedemann, Joachim Selbig, Stefanie Hartmann.   

Abstract

Many deep evolutionary divergences still remain unresolved, such as those among major taxa of the Lophotrochozoa. As alternative phylogenetic markers, the intron-exon structure of eukaryotic genomes and the patterns of absence and presence of spliceosomal introns appear to be promising. However, given the potential homoplasy of intron presence, the phylogenetic analysis of this data using standard evolutionary approaches has remained a challenge. Here, we used Mutual Information (MI) to estimate the phylogeny of Protostomia using gene structure data, and we compared these results with those obtained with Dollo Parsimony. Using full genome sequences from nine Metazoa, we identified 447 groups of orthologous sequences with 21,732 introns in 4,870 unique intron positions. We determined the shared absence and presence of introns in the corresponding sequence alignments and have made this data available in "IntronBase", a web-accessible and downloadable SQLite database. Our results obtained using Dollo Parsimony are obviously misled through systematic errors that arise from multiple intron loss events, but extensive filtering of data improved the quality of the estimated phylogenies. Mutual Information, in contrast, performs better with larger datasets, but at the same time it requires a complete data set, which is difficult to obtain for orthologs from a large number of taxa. Nevertheless, Mutual Information-based distances proved to be useful in analyzing this kind of data, also because the estimation of MI-based distances is independent of evolutionary models and therefore no pre-definitions of ancestral and derived character states are necessary.

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Year:  2012        PMID: 23248024     DOI: 10.1007/s12064-012-0173-0

Source DB:  PubMed          Journal:  Theory Biosci        ISSN: 1431-7613            Impact factor:   1.919


  48 in total

1.  Multigene analyses of bilaterian animals corroborate the monophyly of Ecdysozoa, Lophotrochozoa, and Protostomia.

Authors:  Hervé Philippe; Nicolas Lartillot; Henner Brinkmann
Journal:  Mol Biol Evol       Date:  2005-02-09       Impact factor: 16.240

2.  Rates of intron loss and gain: implications for early eukaryotic evolution.

Authors:  Scott William Roy; Walter Gilbert
Journal:  Proc Natl Acad Sci U S A       Date:  2005-04-12       Impact factor: 11.205

Review 3.  Intron-rich ancestors.

Authors:  Scott W Roy
Journal:  Trends Genet       Date:  2006-07-20       Impact factor: 11.639

4.  RAxML-VI-HPC: maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models.

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Journal:  Bioinformatics       Date:  2006-08-23       Impact factor: 6.937

5.  Broad phylogenomic sampling improves resolution of the animal tree of life.

Authors:  Casey W Dunn; Andreas Hejnol; David Q Matus; Kevin Pang; William E Browne; Stephen A Smith; Elaine Seaver; Greg W Rouse; Matthias Obst; Gregory D Edgecombe; Martin V Sørensen; Steven H D Haddock; Andreas Schmidt-Rhaesa; Akiko Okusu; Reinhardt Møbjerg Kristensen; Ward C Wheeler; Mark Q Martindale; Gonzalo Giribet
Journal:  Nature       Date:  2008-03-05       Impact factor: 49.962

6.  Evolutionarily conserved genes preferentially accumulate introns.

Authors:  Liran Carmel; Igor B Rogozin; Yuri I Wolf; Eugene V Koonin
Journal:  Genome Res       Date:  2007-05-10       Impact factor: 9.043

7.  Patterns of intron loss and gain in plants: intron loss-dominated evolution and genome-wide comparison of O. sativa and A. thaliana.

Authors:  Scott William Roy; David Penny
Journal:  Mol Biol Evol       Date:  2006-10-25       Impact factor: 16.240

8.  Sequence alignment, mutual information, and dissimilarity measures for constructing phylogenies.

Authors:  Orion Penner; Peter Grassberger; Maya Paczuski
Journal:  PLoS One       Date:  2011-01-04       Impact factor: 3.240

9.  HaMStR: profile hidden markov model based search for orthologs in ESTs.

Authors:  Ingo Ebersberger; Sascha Strauss; Arndt von Haeseler
Journal:  BMC Evol Biol       Date:  2009-07-08       Impact factor: 3.260

10.  Algorithm of OMA for large-scale orthology inference.

Authors:  Alexander C J Roth; Gaston H Gonnet; Christophe Dessimoz
Journal:  BMC Bioinformatics       Date:  2008-12-04       Impact factor: 3.169

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