| Title |
Barcoding Sponges: An Overview Based on Comprehensive Sampling
|
|---|---|
| Published in |
PLOS ONE, July 2012
|
| DOI | 10.1371/journal.pone.0039345 |
| Pubmed ID | |
| Authors |
Sergio Vargas, Astrid Schuster, Katharina Sacher, Gabrielle Büttner, Simone Schätzle, Benjamin Läuchli, Kathryn Hall, John N. A. Hooper, Dirk Erpenbeck, Gert Wörheide |
| Abstract |
Phylum Porifera includes ∼8,500 valid species distributed world-wide in aquatic ecosystems ranging from ephemeral fresh-water bodies to coastal environments and the deep-sea. The taxonomy and systematics of sponges is complicated, and morphological identification can be both time consuming and erroneous due to phenotypic convergence and secondary losses, etc. DNA barcoding can provide sponge biologists with a simple and rapid method for the identification of samples of unknown taxonomic membership. The Sponge Barcoding Project (www.spongebarcoding.org), the first initiative to barcode a non-bilaterian metazoan phylum, aims to provide a comprehensive DNA barcode database for Phylum Porifera. |
X Demographics
The data shown below were collected from the profiles of 6 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Belgium | 1 | 17% |
| Germany | 1 | 17% |
| Unknown | 4 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 4 | 67% |
| Scientists | 2 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 224 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 4 | 2% |
| Mexico | 3 | 1% |
| Germany | 2 | <1% |
| Portugal | 2 | <1% |
| Brazil | 2 | <1% |
| Israel | 1 | <1% |
| Spain | 1 | <1% |
| Australia | 1 | <1% |
| Unknown | 208 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 52 | 23% |
| Researcher | 42 | 19% |
| Student > Master | 36 | 16% |
| Student > Bachelor | 24 | 11% |
| Other | 11 | 5% |
| Other | 37 | 17% |
| Unknown | 22 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 122 | 54% |
| Biochemistry, Genetics and Molecular Biology | 28 | 13% |
| Environmental Science | 18 | 8% |
| Chemistry | 8 | 4% |
| Immunology and Microbiology | 6 | 3% |
| Other | 10 | 4% |
| Unknown | 32 | 14% |