| Title |
Next Generation Sequencing-Based Analysis of Repetitive DNA in the Model Dioceous Plant Silene latifolia
|
|---|---|
| Published in |
PLOS ONE, November 2011
|
| DOI | 10.1371/journal.pone.0027335 |
| Pubmed ID | |
| Authors |
Jiří Macas, Eduard Kejnovský, Pavel Neumann, Petr Novák, Andrea Koblížková, Boris Vyskot |
| Abstract |
Silene latifolia is a dioecious [corrected] plant with well distinguished X and Y chromosomes that is used as a model to study sex determination and sex chromosome evolution in plants. However, efficient utilization of this species has been hampered by the lack of large-scale sequencing resources and detailed analysis of its genome composition, especially with respect to repetitive DNA, which makes up the majority of the genome. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 3 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 33% |
| Scientists | 1 | 33% |
| Practitioners (doctors, other healthcare professionals) | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 148 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Czechia | 4 | 3% |
| Spain | 2 | 1% |
| Germany | 1 | <1% |
| Brazil | 1 | <1% |
| Costa Rica | 1 | <1% |
| United Kingdom | 1 | <1% |
| France | 1 | <1% |
| Russia | 1 | <1% |
| Canada | 1 | <1% |
| Other | 2 | 1% |
| Unknown | 133 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 46 | 31% |
| Student > Ph. D. Student | 26 | 18% |
| Student > Master | 15 | 10% |
| Student > Bachelor | 12 | 8% |
| Professor | 9 | 6% |
| Other | 25 | 17% |
| Unknown | 15 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 90 | 61% |
| Biochemistry, Genetics and Molecular Biology | 28 | 19% |
| Environmental Science | 5 | 3% |
| Medicine and Dentistry | 3 | 2% |
| Mathematics | 1 | <1% |
| Other | 4 | 3% |
| Unknown | 17 | 11% |