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Genomic and Metagenomic Analysis of Diversity-Generating Retroelements Associated with Treponema denticola

Overview of attention for article published in Frontiers in Microbiology, June 2016
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  • Above-average Attention Score compared to outputs of the same age and source (62nd percentile)

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3 X users
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1 Wikipedia page

Citations

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14 Dimensions

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39 Mendeley
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1 CiteULike
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Title
Genomic and Metagenomic Analysis of Diversity-Generating Retroelements Associated with Treponema denticola
Published in
Frontiers in Microbiology, June 2016
DOI 10.3389/fmicb.2016.00852
Pubmed ID
Authors

Sutichot Nimkulrat, Heewook Lee, Thomas G. Doak, Yuzhen Ye

Abstract

Diversity-generating retroelements (DGRs) are genetic cassettes that can produce massive protein sequence variation in prokaryotes. Presumably DGRs confer selective advantages to their hosts (bacteria or viruses) by generating variants of target genes-typically resulting in target proteins with altered ligand-binding specificity-through a specialized error-prone reverse transcription process. The only extensively studied DGR system is from the Bordetella phage BPP-1, although DGRs are predicted to exist in other species. Using bioinformatics analysis, we discovered that the DGR system associated with the Treponema denticola species (a human oral-associated periopathogen) is dynamic (with gains/losses of the system found in the isolates) and diverse (with multiple types found in isolated genomes and the human microbiota). The T. denticola DGR is found in only nine of the 17 sequenced T. denticola strains. Analysis of the DGR-associated template regions and reverse transcriptase gene sequences revealed two types of DGR systems in T. denticola: the ATCC35405-type shared by seven isolates including ATCC35405; and the SP32-type shared by two isolates (SP32 and SP33), suggesting multiple DGR acquisitions. We detected additional variants of the T. denticola DGR systems in the human microbiomes, and found that the SP32-type DGR is more abundant than the ATCC35405-type in the healthy human oral microbiome, although the latter is found in more sequenced isolates. This is the first comprehensive study to characterize the DGRs associated with T. denticola in individual genomes as well as human microbiomes, demonstrating the importance of utilizing both individual genomes and metagenomes for characterizing the elements, and for analyzing their diversity and distribution in human populations.

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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.
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 %
Brazil 2 5%
United States 1 3%
Unknown 36 92%

Demographic breakdown

Readers by professional status Count As %
Researcher 11 28%
Student > Bachelor 5 13%
Student > Master 5 13%
Other 4 10%
Student > Ph. D. Student 3 8%
Other 2 5%
Unknown 9 23%
Readers by discipline Count As %
Agricultural and Biological Sciences 13 33%
Biochemistry, Genetics and Molecular Biology 7 18%
Immunology and Microbiology 2 5%
Computer Science 2 5%
Medicine and Dentistry 2 5%
Other 6 15%
Unknown 7 18%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 4. 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 17 March 2022.
All research outputs
#7,037,962
of 23,498,099 outputs
Outputs from Frontiers in Microbiology
#7,161
of 25,939 outputs
Outputs of similar age
#110,073
of 341,293 outputs
Outputs of similar age from Frontiers in Microbiology
#204
of 563 outputs
Altmetric has tracked 23,498,099 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 25,939 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.3. This one has gotten more attention than average, scoring higher than 71% of its peers.
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 341,293 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 563 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 62% of its contemporaries.