| Title |
How DNA Barcodes Complement Taxonomy and Explore Species Diversity: The Case Study of a Poorly Understood Marine Fauna
|
|---|---|
| Published in |
PLOS ONE, June 2011
|
| DOI | 10.1371/journal.pone.0021326 |
| Pubmed ID | |
| Authors |
Jun Chen, Qi Li, Lingfeng Kong, Hong Yu |
| Abstract |
The species boundaries of some venerids are difficult to define based solely on morphological features due to their indistinct intra- and interspecific phenotypic variability. An unprecedented biodiversity crisis caused by human activities has emerged. Thus, to access the biological diversity and further the conservation of this taxonomically muddling bivalve group, a fast and simple approach that can efficiently examine species boundaries and highlight areas of unrecognized diversity is urgently needed. DNA barcoding has proved its effectiveness in high-volume species identification and discovery. In the present study, Chinese fauna was chosen to examine whether this molecular biomarker is sensitive enough for species delimitation, and how it complements taxonomy and explores species diversity. |
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 % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 185 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Canada | 4 | 2% |
| Namibia | 3 | 2% |
| Brazil | 3 | 2% |
| United States | 2 | 1% |
| France | 2 | 1% |
| Vietnam | 1 | <1% |
| Australia | 1 | <1% |
| India | 1 | <1% |
| South Africa | 1 | <1% |
| Other | 5 | 3% |
| Unknown | 162 | 88% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 44 | 24% |
| Student > Ph. D. Student | 40 | 22% |
| Student > Master | 24 | 13% |
| Professor > Associate Professor | 15 | 8% |
| Student > Bachelor | 14 | 8% |
| Other | 34 | 18% |
| Unknown | 14 | 8% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 119 | 64% |
| Environmental Science | 16 | 9% |
| Biochemistry, Genetics and Molecular Biology | 13 | 7% |
| Earth and Planetary Sciences | 4 | 2% |
| Computer Science | 2 | 1% |
| Other | 5 | 3% |
| Unknown | 26 | 14% |