| Title |
Evolutionary direction of processed pseudogenes
|
|---|---|
| Published in |
Science China Life Sciences, June 2016
|
| DOI | 10.1007/s11427-016-5074-x |
| Pubmed ID | |
| Authors |
Guoqing Liu, Xiangjun Cui, Hong Li, Lu Cai |
| Abstract |
While some pseudogenes have been reported to play important roles in gene regulation, little is known about the possible relationship between pseudogene functions and evolutionary process of pseudogenes, or about the forces responsible for the pseudogene evolution. In this study, we characterized human processed pseudogenes in terms of evolutionary dynamics. Our results show that pseudogenes tend to evolve toward: lower GC content, strong dinucleotide bias, reduced abundance of transcription factor binding motifs and short palindromes, and decreased ability to form nucleosomes. We explored possible evolutionary forces that shaped the evolution pattern of pseudogenes, and concluded that mutations in pseudogenes are likely determined, at least partially, by neighbor-dependent mutational bias and recombination-associated selection. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 3 | 30% |
| Student > Bachelor | 2 | 20% |
| Student > Ph. D. Student | 1 | 10% |
| Lecturer | 1 | 10% |
| Researcher | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 6 | 60% |
| Biochemistry, Genetics and Molecular Biology | 3 | 30% |
| Unknown | 1 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 27 January 2023.
All research outputs
#19,636,261
of 24,150,351 outputs
Outputs from Science China Life Sciences
#698
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Outputs of similar age
#275,348
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Outputs of similar age from Science China Life Sciences
#17
of 23 outputs
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