Title |
Phylogeny and divergence of the pinnipeds (Carnivora: Mammalia) assessed using a multigene dataset
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Published in |
BMC Ecology and Evolution, November 2007
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DOI | 10.1186/1471-2148-7-216 |
Pubmed ID | |
Authors |
Jeff W Higdon, Olaf RP Bininda-Emonds, Robin MD Beck, Steven H Ferguson |
Abstract |
Phylogenetic comparative methods are often improved by complete phylogenies with meaningful branch lengths (e.g., divergence dates). This study presents a dated molecular supertree for all 34 world pinniped species derived from a weighted matrix representation with parsimony (MRP) supertree analysis of 50 gene trees, each determined under a maximum likelihood (ML) framework. Divergence times were determined by mapping the same sequence data (plus two additional genes) on to the supertree topology and calibrating the ML branch lengths against a range of fossil calibrations. We assessed the sensitivity of our supertree topology in two ways: 1) a second supertree with all mtDNA genes combined into a single source tree, and 2) likelihood-based supermatrix analyses. Divergence dates were also calculated using a Bayesian relaxed molecular clock with rate autocorrelation to test the sensitivity of our supertree results further. |
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Geographical breakdown
Country | Count | As % |
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Poland | 1 | 100% |
Demographic breakdown
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Members of the public | 1 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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United States | 8 | 2% |
Germany | 7 | 2% |
Brazil | 7 | 2% |
United Kingdom | 5 | 1% |
Chile | 3 | <1% |
Mexico | 3 | <1% |
India | 3 | <1% |
Ecuador | 1 | <1% |
Turkey | 1 | <1% |
Other | 9 | 2% |
Unknown | 354 | 88% |
Demographic breakdown
Readers by professional status | Count | As % |
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Researcher | 78 | 19% |
Student > Ph. D. Student | 66 | 16% |
Student > Master | 66 | 16% |
Student > Bachelor | 55 | 14% |
Other | 25 | 6% |
Other | 70 | 17% |
Unknown | 41 | 10% |
Readers by discipline | Count | As % |
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Agricultural and Biological Sciences | 239 | 60% |
Environmental Science | 51 | 13% |
Earth and Planetary Sciences | 22 | 5% |
Biochemistry, Genetics and Molecular Biology | 21 | 5% |
Veterinary Science and Veterinary Medicine | 7 | 2% |
Other | 22 | 5% |
Unknown | 39 | 10% |