↓ Skip to main content

Lifespan of restriction-modification systems critically affects avoidance of their recognition sites in host genomes

Overview of attention for article published in BMC Genomics, December 2015
Altmetric Badge

Mentioned by

twitter
2 X users

Citations

dimensions_citation
26 Dimensions

Readers on

mendeley
33 Mendeley
You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output. Click here to find out more.
Title
Lifespan of restriction-modification systems critically affects avoidance of their recognition sites in host genomes
Published in
BMC Genomics, December 2015
DOI 10.1186/s12864-015-2288-4
Pubmed ID
Authors

Ivan Rusinov, Anna Ershova, Anna Karyagina, Sergey Spirin, Andrei Alexeevski

Abstract

Avoidance of palindromic recognition sites of Type II restriction-modification (R-M) systems was shown for many R-M systems in dozens of prokaryotic genomes. However the phenomenon has not been investigated systematically for all presently available genomes and annotated R-M systems. We have studied all known recognition sites in thousands of prokaryotic genomes and found factors that influence their avoidance. Only Type II R-M systems consisting of independently acting endonuclease and methyltransferase (called 'orthodox' here) cause avoidance of their sites, both palindromic and asymmetric, in corresponding prokaryotic genomes; the avoidance takes place for ~ 50 % of 1774 studied cases. It is known that prokaryotes can acquire and lose R-M systems. Thus it is possible to talk about the lifespan of an R-M system in a genome. We have shown that the recognition site avoidance correlates with the lifespan of R-M systems. The sites of orthodox R-M systems that are encoded in host genomes for a long time are avoided more often (up to 100 % in certain cohorts) than the sites of recently acquired ones. We also found cases of site avoidance in absence of the corresponding R-M systems in the genome. An analysis of closely related bacteria shows that such avoidance can be a trace of lost R-M systems. Sites of Type I, IIС/G, IIM, III, and IV R-M systems are not avoided in vast majority of cases. The avoidance of orthodox Type II R-M system recognition sites in prokaryotic genomes is a widespread phenomenon. Presence of an R-M system without an underrepresentation of its site may indicate that the R-M system was acquired recently. At the same time, a significant underrepresentation of a site may be a sign of presence of the corresponding R-M system in this organism or in its ancestors for a long time. The drastic difference between site avoidance for orthodox Type II R-M systems and R-M systems of other types can be explained by a higher rate of specificity changes or a less self-toxicity of the latter.

X Demographics

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.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 33 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Switzerland 1 3%
Unknown 32 97%

Demographic breakdown

Readers by professional status Count As %
Researcher 7 21%
Student > Bachelor 6 18%
Student > Ph. D. Student 6 18%
Student > Doctoral Student 5 15%
Other 1 3%
Other 3 9%
Unknown 5 15%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 33%
Agricultural and Biological Sciences 10 30%
Medicine and Dentistry 2 6%
Computer Science 1 3%
Nursing and Health Professions 1 3%
Other 2 6%
Unknown 6 18%
Attention Score in Context

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 13 December 2016.
All research outputs
#18,909,315
of 24,093,053 outputs
Outputs from BMC Genomics
#7,899
of 10,906 outputs
Outputs of similar age
#273,275
of 397,730 outputs
Outputs of similar age from BMC Genomics
#267
of 324 outputs
Altmetric has tracked 24,093,053 research outputs across all sources so far. This one is in the 18th percentile – i.e., 18% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,906 research outputs from this source. They receive a mean Attention Score of 4.8. This one is in the 22nd percentile – i.e., 22% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 397,730 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 324 others from the same source and published within six weeks on either side of this one. This one is in the 10th percentile – i.e., 10% of its contemporaries scored the same or lower than it.