| Title |
Chromosome ends as adaptive beginnings: the potential role of dysfunctional telomeres in subtelomeric evolvability
|
|---|---|
| Published in |
Current Genetics, March 2018
|
| DOI | 10.1007/s00294-018-0822-z |
| Pubmed ID | |
| Authors |
Jennifer M. O. Mason, Michael J. McEachern |
| Abstract |
Telomeres serve as protective caps that help the cell differentiate between the naturally occurring ends of chromosomes and double-stranded breaks. When telomere capping function becomes compromised, chromosome ends are subjected to elevated rates of chromosome alterations. These effects can be particularly dramatic in the telomere-adjacent subtelomeric region. While the catastrophic impact of severe telomere dysfunction on genome stability has been well documented, the adaptive telomere failure hypothesis considers an alternative role telomere dysfunction may play in adaptive evolution. This hypothesis suggests that low levels of telomere failure, induced by certain environmental stresses, can lead to elevated subtelomeric recombination. Mutational loss, duplication, or modification of subtelomeric contingency genes could ultimately facilitate adaptation by generating novel mutants better able to survive environmental stress. In this perspective, we discuss recent work that examined mild telomere dysfunction and its role in altering the adaptive potential of subtelomeric genes. |
X Demographics
The data shown below were collected from the profiles of 3 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| France | 1 | 33% |
| Unknown | 2 | 67% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 67% |
| Scientists | 1 | 33% |
Mendeley readers
The data shown below were compiled from readership statistics for 16 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 16 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 3 | 19% |
| Other | 2 | 13% |
| Student > Master | 2 | 13% |
| Researcher | 2 | 13% |
| Professor | 2 | 13% |
| Other | 3 | 19% |
| Unknown | 2 | 13% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 7 | 44% |
| Agricultural and Biological Sciences | 3 | 19% |
| Business, Management and Accounting | 1 | 6% |
| Computer Science | 1 | 6% |
| Medicine and Dentistry | 1 | 6% |
| Other | 0 | 0% |
| Unknown | 3 | 19% |
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 12 December 2018.
All research outputs
#15,498,204
of 23,031,582 outputs
Outputs from Current Genetics
#857
of 1,203 outputs
Outputs of similar age
#210,584
of 330,033 outputs
Outputs of similar age from Current Genetics
#14
of 25 outputs
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