| Title |
How to Handle Speciose Clades? Mass Taxon-Sampling as a Strategy towards Illuminating the Natural History of Campanula (Campanuloideae)
|
|---|---|
| Published in |
PLOS ONE, November 2012
|
| DOI | 10.1371/journal.pone.0050076 |
| Pubmed ID | |
| Authors |
Guilhem Mansion, Gerald Parolly, Andrew A. Crowl, Evgeny Mavrodiev, Nico Cellinese, Marine Oganesian, Katharina Fraunhofer, Georgia Kamari, Dimitrios Phitos, Rosemarie Haberle, Galip Akaydin, Nursel Ikinci, Thomas Raus, Thomas Borsch |
| Abstract |
Speciose clades usually harbor species with a broad spectrum of adaptive strategies and complex distribution patterns, and thus constitute ideal systems to disentangle biotic and abiotic causes underlying species diversification. The delimitation of such study systems to test evolutionary hypotheses is difficult because they often rely on artificial genus concepts as starting points. One of the most prominent examples is the bellflower genus Campanula with some 420 species, but up to 600 species when including all lineages to which Campanula is paraphyletic. We generated a large alignment of petD group II intron sequences to include more than 70% of described species as a reference. By comparison with partial data sets we could then assess the impact of selective taxon sampling strategies on phylogenetic reconstruction and subsequent evolutionary conclusions. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| New Zealand | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 58 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 2 | 3% |
| United States | 1 | 2% |
| Unknown | 55 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 17 | 29% |
| Researcher | 16 | 28% |
| Student > Master | 8 | 14% |
| Student > Bachelor | 3 | 5% |
| Professor | 3 | 5% |
| Other | 6 | 10% |
| Unknown | 5 | 9% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 42 | 72% |
| Biochemistry, Genetics and Molecular Biology | 5 | 9% |
| Environmental Science | 3 | 5% |
| Unspecified | 2 | 3% |
| Immunology and Microbiology | 1 | 2% |
| Other | 0 | 0% |
| Unknown | 5 | 9% |