| Title |
Role of restriction-modification systems in prokaryotic evolution and ecology
|
|---|---|
| Published in |
Biochemistry, October 2015
|
| DOI | 10.1134/s0006297915100193 |
| Pubmed ID | |
| Authors |
A. S. Ershova, I. S. Rusinov, S. A. Spirin, A. S. Karyagina, A. V. Alexeevski |
| Abstract |
Restriction-modification (R-M) systems are able to methylate or cleave DNA depending on methylation status of their recognition site. It allows them to protect bacterial cells from invasion by foreign DNA. Comparative analysis of a large number of available bacterial genomes and methylomes clearly demonstrates that the role of R-M systems in bacteria is wider than only defense. R-M systems maintain heterogeneity of a bacterial population and are involved in adaptation of bacteria to change in their environmental conditions. R-M systems can be essential for host colonization by pathogenic bacteria. Phase variation and intragenomic recombinations are sources of the fast evolution of the specificity of R-M systems. This review focuses on the influence of R-M systems on evolution and ecology of prokaryotes. |
X Demographics
The data shown below were collected from the profiles of 2 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 | 50% |
| Unknown | 1 | 50% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Scientists | 1 | 50% |
| Members of the public | 1 | 50% |
Mendeley readers
The data shown below were compiled from readership statistics for 127 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 127 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 27 | 21% |
| Student > Bachelor | 20 | 16% |
| Student > Master | 13 | 10% |
| Researcher | 11 | 9% |
| Student > Doctoral Student | 9 | 7% |
| Other | 16 | 13% |
| Unknown | 31 | 24% |
| Readers by discipline | Count | As % |
|---|---|---|
| Biochemistry, Genetics and Molecular Biology | 37 | 29% |
| Agricultural and Biological Sciences | 31 | 24% |
| Immunology and Microbiology | 11 | 9% |
| Chemistry | 4 | 3% |
| Unspecified | 3 | 2% |
| Other | 8 | 6% |
| Unknown | 33 | 26% |
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 August 2016.
All research outputs
#19,962,154
of 25,394,764 outputs
Outputs from Biochemistry
#20,466
of 22,298 outputs
Outputs of similar age
#202,534
of 295,530 outputs
Outputs of similar age from Biochemistry
#78
of 145 outputs
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