| Title |
A miRNA catalogue and ncRNA annotation of the short-living fish Nothobranchius furzeri
|
|---|---|
| Published in |
BMC Genomics, September 2017
|
| DOI | 10.1186/s12864-017-3951-8 |
| Pubmed ID | |
| Authors |
Mario Baumgart, Emanuel Barth, Aurora Savino, Marco Groth, Philipp Koch, Andreas Petzold, Ivan Arisi, Matthias Platzer, Manja Marz, Alessandro Cellerino |
| Abstract |
The short-lived fish Nothobranchius furzeri is the shortest-lived vertebrate that can be cultured in captivity and was recently established as a model organism for aging research. Small non-coding RNAs, especially miRNAs, are implicated in age dependent control of gene expression. Here, we present a comprehensive catalogue of miRNAs and several other non-coding RNA classes (ncRNAs) for Nothobranchius furzeri. Analyzing multiple small RNA-Seq libraries, we show most of these identified miRNAs are expressed in at least one of seven Nothobranchius species. Additionally, duplication and clustering of N. furzeri miRNAs was analyzed and compared to the four fish species Danio rerio, Oryzias latipes, Gasterosteus aculeatus and Takifugu rubripes. A peculiar characteristic of N. furzeri, as compared to other teleosts, was a duplication of the miR-29 cluster. The completeness of the catalogue we provide is comparable to that of the zebrafish. This catalogue represents a basis to investigate the role of miRNAs in aging and development in this species. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 55 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 12 | 22% |
| Student > Bachelor | 8 | 15% |
| Student > Master | 8 | 15% |
| Student > Ph. D. Student | 5 | 9% |
| Student > Doctoral Student | 3 | 5% |
| Other | 6 | 11% |
| Unknown | 13 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 17 | 31% |
| Agricultural and Biological Sciences | 13 | 24% |
| Neuroscience | 4 | 7% |
| Environmental Science | 2 | 4% |
| Computer Science | 1 | 2% |
| Other | 2 | 4% |
| Unknown | 16 | 29% |
Attention Score in Context
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