| Title |
Broadly sampled multigene trees of eukaryotes
|
|---|---|
| Published in |
BMC Ecology and Evolution, January 2008
|
| DOI | 10.1186/1471-2148-8-14 |
| Pubmed ID | |
| Authors |
Hwan Su Yoon, Jessica Grant, Yonas I Tekle, Min Wu, Benjamin C Chaon, Jeffrey C Cole, John M Logsdon, David J Patterson, Debashish Bhattacharya, Laura A Katz |
| Abstract |
Our understanding of the eukaryotic tree of life and the tremendous diversity of microbial eukaryotes is in flux as additional genes and diverse taxa are sampled for molecular analyses. Despite instability in many analyses, there is an increasing trend to classify eukaryotic diversity into six major supergroups: the 'Amoebozoa', 'Chromalveolata', 'Excavata', 'Opisthokonta', 'Plantae', and 'Rhizaria'. Previous molecular analyses have often suffered from either a broad taxon sampling using only single-gene data or have used multigene data with a limited sample of taxa. This study has two major aims: (1) to place taxa represented by 72 sequences, 61 of which have not been characterized previously, onto a well-sampled multigene genealogy, and (2) to evaluate the support for the six putative supergroups using two taxon-rich data sets and a variety of phylogenetic approaches. |
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Mendeley demographics
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 5 | 3% |
| Brazil | 3 | 2% |
| Russia | 2 | 1% |
| United Kingdom | 2 | 1% |
| Spain | 2 | 1% |
| Germany | 2 | 1% |
| Canada | 2 | 1% |
| Argentina | 2 | 1% |
| Portugal | 1 | <1% |
| Other | 5 | 3% |
| Unknown | 120 | 82% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 43 | 29% |
| Student > Ph. D. Student | 24 | 16% |
| Student > Master | 17 | 12% |
| Professor | 13 | 9% |
| Professor > Associate Professor | 10 | 7% |
| Other | 23 | 16% |
| Unknown | 16 | 11% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 90 | 62% |
| Biochemistry, Genetics and Molecular Biology | 13 | 9% |
| Environmental Science | 7 | 5% |
| Immunology and Microbiology | 4 | 3% |
| Earth and Planetary Sciences | 4 | 3% |
| Other | 8 | 5% |
| Unknown | 20 | 14% |