Title |
The genomic landscape shaped by selection on transposable elements across 18 mouse strains
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Published in |
Genome Biology, June 2012
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DOI | 10.1186/gb-2012-13-6-r45 |
Pubmed ID | |
Authors |
Christoffer Nellåker, Thomas M Keane, Binnaz Yalcin, Kim Wong, Avigail Agam, T Grant Belgard, Jonathan Flint, David J Adams, Wayne N Frankel, Chris P Ponting |
Abstract |
Transposable element (TE)-derived sequence dominates the landscape of mammalian genomes and can modulate gene function by dysregulating transcription and translation. Our current knowledge of TEs in laboratory mouse strains is limited primarily to those present in the C57BL/6J reference genome, with most mouse TEs being drawn from three distinct classes, namely short interspersed nuclear elements (SINEs), long interspersed nuclear elements (LINEs) and the endogenous retrovirus (ERV) superfamily. Despite their high prevalence, the different genomic and gene properties controlling whether TEs are preferentially purged from, or are retained by, genetic drift or positive selection in mammalian genomes remain poorly defined. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 2 | 40% |
Japan | 1 | 20% |
United States | 1 | 20% |
Unknown | 1 | 20% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 3 | 60% |
Science communicators (journalists, bloggers, editors) | 1 | 20% |
Scientists | 1 | 20% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 8 | 3% |
United Kingdom | 7 | 3% |
Japan | 5 | 2% |
Germany | 3 | 1% |
Brazil | 3 | 1% |
France | 2 | <1% |
Spain | 2 | <1% |
Canada | 2 | <1% |
Russia | 2 | <1% |
Other | 3 | 1% |
Unknown | 223 | 86% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 79 | 30% |
Student > Ph. D. Student | 68 | 26% |
Student > Master | 15 | 6% |
Professor | 14 | 5% |
Student > Bachelor | 13 | 5% |
Other | 39 | 15% |
Unknown | 32 | 12% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 120 | 46% |
Biochemistry, Genetics and Molecular Biology | 72 | 28% |
Computer Science | 13 | 5% |
Neuroscience | 4 | 2% |
Immunology and Microbiology | 3 | 1% |
Other | 11 | 4% |
Unknown | 37 | 14% |