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Comparative analysis of prophages in Streptococcus mutans genomes

Overview of attention for article published in PeerJ, November 2017
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Title
Comparative analysis of prophages in Streptococcus mutans genomes
Published in
PeerJ, November 2017
DOI 10.7717/peerj.4057
Pubmed ID
Authors

Tiwei Fu, Xiangyu Fan, Quanxin Long, Wanyan Deng, Jinlin Song, Enyi Huang

Abstract

Prophages have been considered genetic units that have an intimate association with novel phenotypic properties of bacterial hosts, such as pathogenicity and genomic variation. Little is known about the genetic information of prophages in the genome of Streptococcus mutans, a major pathogen of human dental caries. In this study, we identified 35 prophage-like elements in S. mutans genomes and performed a comparative genomic analysis. Comparative genomic and phylogenetic analyses of prophage sequences revealed that the prophages could be classified into three main large clusters: Cluster A, Cluster B, and Cluster C. The S. mutans prophages in each cluster were compared. The genomic sequences of phismuN66-1, phismuNLML9-1, and phismu24-1 all shared similarities with the previously reported S. mutans phages M102, M102AD, and ϕAPCM01. The genomes were organized into seven major gene clusters according to the putative functions of the predicted open reading frames: packaging and structural modules, integrase, host lysis modules, DNA replication/recombination modules, transcriptional regulatory modules, other protein modules, and hypothetical protein modules. Moreover, an integrase gene was only identified in phismuNLML9-1 prophages.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 34 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 34 100%

Demographic breakdown

Readers by professional status Count As %
Student > Master 6 18%
Student > Bachelor 3 9%
Lecturer 2 6%
Unspecified 2 6%
Researcher 2 6%
Other 7 21%
Unknown 12 35%
Readers by discipline Count As %
Biochemistry, Genetics and Molecular Biology 10 29%
Agricultural and Biological Sciences 4 12%
Medicine and Dentistry 3 9%
Unspecified 2 6%
Immunology and Microbiology 1 3%
Other 1 3%
Unknown 13 38%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 26 November 2017.
All research outputs
#14,959,314
of 23,008,860 outputs
Outputs from PeerJ
#8,759
of 13,412 outputs
Outputs of similar age
#246,149
of 431,651 outputs
Outputs of similar age from PeerJ
#236
of 337 outputs
Altmetric has tracked 23,008,860 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 13,412 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 17.3. This one is in the 29th percentile – i.e., 29% 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 431,651 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 40th percentile – i.e., 40% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 337 others from the same source and published within six weeks on either side of this one. This one is in the 26th percentile – i.e., 26% of its contemporaries scored the same or lower than it.