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X Demographics
Mendeley readers
| Title |
Development of EPIC-PCR Markers for Lutjanus purpureus (Lutjanidae-Perciformes) and their Potential Applicability in Population Analyses
|
|---|---|
| Published in |
Anais da Academia Brasileira de Ciências, June 2017
|
| DOI | 10.1590/0001-3765201720150476 |
| Pubmed ID | |
| Authors |
Raimundo DA Silva, Danillo Silva, Ivana Veneza, Iracilda Sampaio, Horacio Schneider, Grazielle Gomes |
| Abstract |
In the present study, a novel set of eight EPIC primers were developed for Lutjanus purpureus and assayed in five other marine teleosts including three lutjanids, one scianid and one anablepid. Most of the genomic regions used in this study presented genetic diversity indexes equal or greater than the intragenic regions commonly used in population genetics studies. Moreover, six out of eight markers showed cross-amplification with other taxa. Thus, the primers described here may be used to elucidate questions at the intraspecific level for a large number of taxa. |
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 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 2 | 20% |
| Student > Ph. D. Student | 2 | 20% |
| Unspecified | 1 | 10% |
| Professor | 1 | 10% |
| Student > Doctoral Student | 1 | 10% |
| Other | 2 | 20% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 3 | 30% |
| Agricultural and Biological Sciences | 2 | 20% |
| Unspecified | 1 | 10% |
| Materials Science | 1 | 10% |
| Engineering | 1 | 10% |
| Other | 0 | 0% |
| Unknown | 2 | 20% |