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A Mitogenomic Re-Evaluation of the Bdelloid Phylogeny and Relationships among the Syndermata

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Title
A Mitogenomic Re-Evaluation of the Bdelloid Phylogeny and Relationships among the Syndermata
Published in
PLOS ONE, August 2012
DOI 10.1371/journal.pone.0043554
Pubmed ID
Authors

Erica Lasek-Nesselquist

Abstract

Molecular and morphological data regarding the relationships among the three classes of Rotifera (Bdelloidea, Seisonidea, and Monogononta) and the phylum Acanthocephala are inconclusive. In particular, Bdelloidea lacks molecular-based phylogenetic appraisal. I obtained coding sequences from the mitochondrial genomes of twelve bdelloids and two monogononts to explore the molecular phylogeny of Bdelloidea and provide insight into the relationships among lineages of Syndermata (Rotifera + Acanthocephala). With additional sequences taken from previously published mitochondrial genomes, the total dataset included nine species of bdelloids, three species of monogononts, and two species of acanthocephalans. A supermatrix of these 10-12 mitochondrial proteins consistently recovered a bdelloid phylogeny that questions the validity of a generally accepted classification scheme despite different methods of inference and various parameter adjustments. Specifically, results showed that neither the family Philodinidae nor the order Philodinida are monophyletic as currently defined. The application of a similar analytical strategy to assess syndermate relationships recovered either a tree with Bdelloidea and Monogononta as sister taxa (Eurotatoria) or Bdelloidea and Acanthocephala as sister taxa (Lemniscea). Both outgroup choice and method of inference affected the topological outcome emphasizing the need for sequences from more closely related outgroups and more sophisticated methods of analysis that can account for the complexity of the data.

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Mendeley readers

The data shown below were compiled from readership statistics for 37 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 3%
Unknown 36 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 10 27%
Student > Ph. D. Student 6 16%
Student > Doctoral Student 4 11%
Student > Master 4 11%
Student > Bachelor 3 8%
Other 8 22%
Unknown 2 5%
Readers by discipline Count As %
Agricultural and Biological Sciences 22 59%
Biochemistry, Genetics and Molecular Biology 5 14%
Environmental Science 4 11%
Computer Science 1 3%
Unknown 5 14%