Title |
Can DNA barcoding accurately discriminate megadiverse Neotropical freshwater fish fauna?
|
---|---|
Published in |
BMC Genomic Data, March 2013
|
DOI | 10.1186/1471-2156-14-20 |
Pubmed ID | |
Authors |
Luiz HG Pereira, Robert Hanner, Fausto Foresti, Claudio Oliveira |
Abstract |
The megadiverse Neotropical freshwater ichthyofauna is the richest in the world with approximately 6,000 recognized species. Interestingly, they are distributed among only 17 orders, and almost 80% of them belong to only three orders: Characiformes, Siluriformes and Perciformes. Moreover, evidence based on molecular data has shown that most of the diversification of the Neotropical ichthyofauna occurred recently. These characteristics make the taxonomy and identification of this fauna a great challenge, even when using molecular approaches. In this context, the present study aimed to test the effectiveness of the barcoding methodology (COI gene) to identify the mega diverse freshwater fish fauna from the Neotropical region. For this purpose, 254 species of fishes were analyzed from the Upper Parana River basin, an area representative of the larger Neotropical region. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 1 | 25% |
United Kingdom | 1 | 25% |
Unknown | 2 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 2 | 50% |
Members of the public | 1 | 25% |
Practitioners (doctors, other healthcare professionals) | 1 | 25% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
Brazil | 8 | 2% |
United States | 3 | <1% |
Colombia | 1 | <1% |
Uruguay | 1 | <1% |
Turkey | 1 | <1% |
South Africa | 1 | <1% |
Poland | 1 | <1% |
Unknown | 333 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 66 | 19% |
Researcher | 50 | 14% |
Student > Ph. D. Student | 50 | 14% |
Student > Bachelor | 40 | 11% |
Student > Doctoral Student | 24 | 7% |
Other | 55 | 16% |
Unknown | 64 | 18% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 195 | 56% |
Biochemistry, Genetics and Molecular Biology | 49 | 14% |
Environmental Science | 25 | 7% |
Medicine and Dentistry | 3 | <1% |
Earth and Planetary Sciences | 2 | <1% |
Other | 10 | 3% |
Unknown | 65 | 19% |