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Insertion sequence elements-mediated structural variations in bacterial genomes

Overview of attention for article published in Mobile DNA, August 2018
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Title
Insertion sequence elements-mediated structural variations in bacterial genomes
Published in
Mobile DNA, August 2018
DOI 10.1186/s13100-018-0134-3
Pubmed ID
Authors

Etienne Nzabarushimana, Haixu Tang

Abstract

Mobile genetic elements (MGEs) impact the evolution and stability of their host genomes. Insertion sequence (IS) elements are the most common MGEs in bacterial genomes and play a crucial role in mediating large-scale variations in bacterial genomes. It is understood that IS elements and MGEs in general coexist in a dynamical equilibrium with their respective hosts. Current studies indicate that the spontaneous movement of IS elements does not follow a constant rate in different bacterial genomes. However, due to the paucity and sparsity of the data, these observations are yet to be conclusive. In this paper, we conducted a comparative analysis of the IS-mediated genome structural variations in ten mutation accumulation (MA) experiments across eight strains of five bacterial species containing IS elements, including four strains of the E. coli. We used GRASPER algorithm, a denovo structural variation (SV) identification algorithm designed to detect SVs involving repetitive sequences in the genome. We observed highly diverse rates of IS insertions and IS-mediated recombinations across different bacterial species as well as across different strains of the same bacterial species. We also observed different rates of the elements from the same IS family in different bacterial genomes, suggesting that the distinction in rates might not be due to the different composition of IS elements across bacterial genomes.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 39 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 6 15%
Researcher 6 15%
Student > Bachelor 5 13%
Student > Master 5 13%
Professor 1 3%
Other 2 5%
Unknown 14 36%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 11 28%
Agricultural and Biological Sciences 7 18%
Immunology and Microbiology 2 5%
Nursing and Health Professions 1 3%
Mathematics 1 3%
Other 1 3%
Unknown 16 41%
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 06 September 2018.
All research outputs
#15,544,609
of 23,102,082 outputs
Outputs from Mobile DNA
#293
of 336 outputs
Outputs of similar age
#212,105
of 335,220 outputs
Outputs of similar age from Mobile DNA
#7
of 7 outputs
Altmetric has tracked 23,102,082 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 336 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one is in the 9th percentile – i.e., 9% of its peers scored the same or lower than it.
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