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Using the Multiple Analysis Approach to Reconstruct Phylogenetic Relationships among Planktonic Foraminifera from Highly Divergent and Length-polymorphic SSU rDNA Sequences

Authors: Ralf Aurahs, Markus Göker, Guido W. Grimm, Vera Hemleben, Christoph Hemleben, Ralf Schiebel and Michal Kučera
Publication Date: 11 Nov 2009
Bioinformatics and Biology Insights 2009:3 155-177

Ralf Aurahs1, Markus Göker2,3, Guido W. Grimm4, Vera Hemleben5, Christoph Hemleben1, Ralf Schiebel6 and Michal Kučera1

1Department of Micropaleontology, Institute of Geosciences, Eberhard Karls University of Tübingen, Sigwartstrabe 10, 72076 Tübingen, Germany. 2Organismic Botany, Eberhard Karls University of Tübingen, Auf der Morgenstelle 1, 72076 Tübingen, Germany. 3DSMZ—German Collection of Microorganisms and Cell Cultures, Inhoffenstrabe 7 B, 38124 Braunschweig, Germany. 4Department of Palaeobotany, Natural History Museum, Box 50007, 10405 Stockholm, Sweden. 5Department of General Genetics, Centre of Plant Molecular Biology (ZMBP), Eberhard Karls University of Tübingen, Auf der Morgenstelle 28, 72076 Tübingen, Germany. 6Laboratoire des Bio-Indicateurs Actuels et Fossiles, University of Angers, 2 bd Lavoisier, 49045 Angers, France.

Abstract

The high sequence divergence within the small subunit ribosomal RNA gene (SSU rDNA) of foraminifera makes it difficult to establish the homology of individual nucleotides across taxa. Alignment-based approaches so far relied on time-consuming manual alignments and discarded up to 50% of the sequenced nucleotides prior to phylogenetic inference. Here, we investigate the potential of the multiple analysis approach to infer a molecular phylogeny of all modern planktonic foraminiferal taxa by using a matrix of 146 new and 153 previously published SSU rDNA sequences. Our multiple analysis approach is based on eleven different automated alignments, analysed separately under the maximum likelihood criterion. The high degree of congruence between the phylogenies derived from our novel approach, traditional manually homologized culled alignments and the fossil record indicates that poorly resolved nucleotide homology does not represent the most significant obstacle when exploring the phylogenetic structure of the SSU rDNA in planktonic foraminifera. We show that approaches designed to extract phylogenetically valuable signals from complete sequences show more promise to resolve the backbone of the planktonic foraminifer tree than attempts to establish strictly homologous base calls in a manual alignment.

Categories: Bioinformatics