Title |
Volatile evolution of long noncoding RNA repertoires: mechanisms and biological implications
|
---|---|
Published in |
Trends in Genetics, September 2014
|
DOI | 10.1016/j.tig.2014.08.004 |
Pubmed ID | |
Authors |
Aurélie Kapusta, Cédric Feschotte |
Abstract |
Thousands of genes encoding long noncoding RNAs (lncRNAs) have been identified in all vertebrate genomes thus far examined. The list of lncRNAs partaking in arguably important biochemical, cellular, and developmental activities is steadily growing. However, it is increasingly clear that lncRNA repertoires are subject to weak functional constraint and rapid turnover during vertebrate evolution. We discuss here some of the factors that may explain this apparent paradox, including relaxed constraint on sequence to maintain lncRNA structure/function, extensive redundancy in the regulatory circuits in which lncRNAs act, as well as adaptive and non-adaptive forces such as genetic drift. We explore the molecular mechanisms promoting the birth and rapid evolution of lncRNA genes, with an emphasis on the influence of bidirectional transcription and transposable elements, two pervasive features of vertebrate genomes. Together these properties reveal a remarkably dynamic and malleable noncoding transcriptome which may represent an important source of robustness and evolvability. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 7 | 23% |
United Kingdom | 4 | 13% |
France | 3 | 10% |
Denmark | 1 | 3% |
Canada | 1 | 3% |
India | 1 | 3% |
Japan | 1 | 3% |
Switzerland | 1 | 3% |
Unknown | 11 | 37% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Scientists | 15 | 50% |
Members of the public | 12 | 40% |
Science communicators (journalists, bloggers, editors) | 3 | 10% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United Kingdom | 3 | <1% |
France | 3 | <1% |
Brazil | 2 | <1% |
United States | 2 | <1% |
Spain | 2 | <1% |
India | 2 | <1% |
Australia | 1 | <1% |
Germany | 1 | <1% |
Denmark | 1 | <1% |
Other | 0 | 0% |
Unknown | 363 | 96% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 96 | 25% |
Researcher | 81 | 21% |
Student > Master | 43 | 11% |
Student > Bachelor | 24 | 6% |
Professor > Associate Professor | 20 | 5% |
Other | 68 | 18% |
Unknown | 48 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Agricultural and Biological Sciences | 170 | 45% |
Biochemistry, Genetics and Molecular Biology | 113 | 30% |
Medicine and Dentistry | 15 | 4% |
Immunology and Microbiology | 8 | 2% |
Computer Science | 5 | 1% |
Other | 16 | 4% |
Unknown | 53 | 14% |