Title |
Toward reconstructing the evolution of advanced moths and butterflies (Lepidoptera: Ditrysia): an initial molecular study
|
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Published in |
BMC Ecology and Evolution, December 2009
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DOI | 10.1186/1471-2148-9-280 |
Pubmed ID | |
Authors |
Jerome C Regier, Andreas Zwick, Michael P Cummings, Akito Y Kawahara, Soowon Cho, Susan Weller, Amanda Roe, Joaquin Baixeras, John W Brown, Cynthia Parr, Donald R Davis, Marc Epstein, Winifred Hallwachs, Axel Hausmann, Daniel H Janzen, Ian J Kitching, M Alma Solis, Shen-Horn Yen, Adam L Bazinet, Charles Mitter |
Abstract |
In the mega-diverse insect order Lepidoptera (butterflies and moths; 165,000 described species), deeper relationships are little understood within the clade Ditrysia, to which 98% of the species belong. To begin addressing this problem, we tested the ability of five protein-coding nuclear genes (6.7 kb total), and character subsets therein, to resolve relationships among 123 species representing 27 (of 33) superfamilies and 55 (of 100) families of Ditrysia under maximum likelihood analysis. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 2 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 5 | 2% |
Germany | 4 | 2% |
United Kingdom | 4 | 2% |
Canada | 3 | 1% |
India | 3 | 1% |
France | 2 | <1% |
Netherlands | 1 | <1% |
Korea, Republic of | 1 | <1% |
Switzerland | 1 | <1% |
Other | 6 | 3% |
Unknown | 206 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 60 | 25% |
Student > Ph. D. Student | 44 | 19% |
Student > Master | 43 | 18% |
Student > Bachelor | 18 | 8% |
Professor > Associate Professor | 10 | 4% |
Other | 38 | 16% |
Unknown | 23 | 10% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 171 | 72% |
Environmental Science | 12 | 5% |
Biochemistry, Genetics and Molecular Biology | 9 | 4% |
Computer Science | 5 | 2% |
Earth and Planetary Sciences | 4 | 2% |
Other | 11 | 5% |
Unknown | 24 | 10% |