| Title |
Transposable Elements Activity is Positively Related to Rate of Speciation in Mammals
|
|---|---|
| Published in |
Journal of Molecular Evolution, May 2018
|
| DOI | 10.1007/s00239-018-9847-7 |
| Pubmed ID | |
| Authors |
Marco Ricci, Valentina Peona, Etienne Guichard, Cristian Taccioli, Alessio Boattini |
| Abstract |
Transposable elements (TEs) play an essential role in shaping eukaryotic genomes and generating variability. Speciation and TE activity bursts could be strongly related in mammals, in which simple gradualistic models of differentiation do not account for the currently observed species variability. In order to test this hypothesis, we designed two parameters: the Density of insertion (DI) and the Relative rate of speciation (RRS). DI is the ratio between the number of TE insertions in a genome and its size, whereas the RRS is a conditional parameter designed to identify potential speciation bursts. Thus, by analyzing TE insertions in mammals, we defined the genomes as "hot" (high DI) and "cold" (low DI). Then, comparing TE activity among 29 taxonomical families of the whole Mammalia class, 16 intra-order pairs of mammalian species, and four superorders of Eutheria, we showed that taxa with high rates of speciation are associated with "hot" genomes, whereas taxa with low ones are associated with "cold" genomes. These results suggest a remarkable correlation between TE activity and speciation, also being consistent with patterns describing variable rates of differentiation and accounting for the different time frames of the speciation bursts. |
X Demographics
The data shown below were collected from the profiles of 72 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 6 | 8% |
| Netherlands | 5 | 7% |
| Italy | 5 | 7% |
| Canada | 4 | 6% |
| Switzerland | 3 | 4% |
| Sweden | 3 | 4% |
| United Kingdom | 3 | 4% |
| Norway | 1 | 1% |
| France | 1 | 1% |
| Other | 3 | 4% |
| Unknown | 38 | 53% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 40 | 56% |
| Scientists | 32 | 44% |
Mendeley readers
The data shown below were compiled from readership statistics for 79 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 79 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 13 | 16% |
| Researcher | 13 | 16% |
| Student > Bachelor | 10 | 13% |
| Student > Doctoral Student | 6 | 8% |
| Professor > Associate Professor | 6 | 8% |
| Other | 15 | 19% |
| Unknown | 16 | 20% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 36 | 46% |
| Biochemistry, Genetics and Molecular Biology | 19 | 24% |
| Environmental Science | 4 | 5% |
| Computer Science | 1 | 1% |
| Social Sciences | 1 | 1% |
| Other | 0 | 0% |
| Unknown | 18 | 23% |
Attention Score in Context
This research output has an Altmetric Attention Score of 53. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 16 October 2023.
All research outputs
#810,328
of 25,711,518 outputs
Outputs from Journal of Molecular Evolution
#16
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Outputs of similar age
#17,544
of 345,093 outputs
Outputs of similar age from Journal of Molecular Evolution
#1
of 13 outputs
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