Title |
The evolutionary history of holometabolous insects inferred from transcriptome-based phylogeny and comprehensive morphological data
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Published in |
BMC Ecology and Evolution, March 2014
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DOI | 10.1186/1471-2148-14-52 |
Pubmed ID | |
Authors |
Ralph S Peters, Karen Meusemann, Malte Petersen, Christoph Mayer, Jeanne Wilbrandt, Tanja Ziesmann, Alexander Donath, Karl M Kjer, Ulrike Aspöck, Horst Aspöck, Andre Aberer, Alexandros Stamatakis, Frank Friedrich, Frank Hünefeld, Oliver Niehuis, Rolf G Beutel, Bernhard Misof |
Abstract |
Despite considerable progress in systematics, a comprehensive scenario of the evolution of phenotypic characters in the mega-diverse Holometabola based on a solid phylogenetic hypothesis was still missing. We addressed this issue by de novo sequencing transcriptome libraries of representatives of all orders of holometabolan insects (13 species in total) and by using a previously published extensive morphological dataset. We tested competing phylogenetic hypotheses by analyzing various specifically designed sets of amino acid sequence data, using maximum likelihood (ML) based tree inference and Four-cluster Likelihood Mapping (FcLM). By maximum parsimony-based mapping of the morphological data on the phylogenetic relationships we traced evolutionary transformations at the phenotypic level and reconstructed the groundplan of Holometabola and of selected subgroups. |
X Demographics
Geographical breakdown
Country | Count | As % |
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United States | 2 | 18% |
Mexico | 1 | 9% |
Australia | 1 | 9% |
Japan | 1 | 9% |
Italy | 1 | 9% |
Unknown | 5 | 45% |
Demographic breakdown
Type | Count | As % |
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Members of the public | 9 | 82% |
Scientists | 2 | 18% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Germany | 3 | 1% |
Canada | 2 | <1% |
Netherlands | 1 | <1% |
France | 1 | <1% |
Switzerland | 1 | <1% |
Australia | 1 | <1% |
United Kingdom | 1 | <1% |
Brazil | 1 | <1% |
New Zealand | 1 | <1% |
Other | 4 | 1% |
Unknown | 252 | 94% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 56 | 21% |
Student > Master | 44 | 16% |
Researcher | 40 | 15% |
Student > Bachelor | 30 | 11% |
Professor > Associate Professor | 19 | 7% |
Other | 50 | 19% |
Unknown | 29 | 11% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 159 | 59% |
Biochemistry, Genetics and Molecular Biology | 45 | 17% |
Veterinary Science and Veterinary Medicine | 4 | 1% |
Chemistry | 4 | 1% |
Unspecified | 3 | 1% |
Other | 12 | 4% |
Unknown | 41 | 15% |