Evidence map›Paper›PMID 23248024›Full record

ArticleTheory in biosciences = Theorie in den Biowissenschaften2013

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

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

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Article in Theory in biosciences = Theorie in den Biowissenschaften, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
0.1field-weighted citation impact, top 49% of its field
1 · What the graph read from it

What it found

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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

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3 · Its place in the literature

Who cites it

0 citing papers in PubMed, 1 citations in OpenAlex.

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4 · The record

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5 · Who and what money

Authors and funding

7 authors at 2 institutions in 1 country.

Natascha HillDepartment of Bioinformatics, Institute for Biochemistry and Biology, University of Potsdam, Potsdam, Germany.
Alexander Leow
Christoph Bleidorn
Detlef Groth
Ralph Tiedemann
Joachim Selbig
Stefanie Hartmann
University of Potsdam · DELeipzig University · DE

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

IntronsModels, GeneticAlgorithmsAnimalsDatabases, GeneticEvolution, MolecularExonsGenomeInvertebratesLikelihood FunctionsPhylogenyProbabilitySequence Alignment

Identifiers

PMID23248024
OpenAlexW2008073731

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.