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Transcriptome analysis of bacteriophage communities in periodontal health and disease

Overview of attention for article published in BMC Genomics, July 2015
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  • In the top 25% of all research outputs scored by Altmetric
  • Good Attention Score compared to outputs of the same age (78th percentile)
  • High Attention Score compared to outputs of the same age and source (83rd percentile)

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8 X users
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1 patent

Citations

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51 Dimensions

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116 Mendeley
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Title
Transcriptome analysis of bacteriophage communities in periodontal health and disease
Published in
BMC Genomics, July 2015
DOI 10.1186/s12864-015-1781-0
Pubmed ID
Authors

Tasha M. Santiago-Rodriguez, Mayuri Naidu, Shira R. Abeles, Tobias K. Boehm, Melissa Ly, David T. Pride

Abstract

The role of viruses as members of the human microbiome has gained broader attention with the discovery that human body surfaces are inhabited by sizeable viral communities. The majority of the viruses identified in these communities have been bacteriophages that predate upon cellular microbiota rather than the human host. Phages have the capacity to lyse their hosts or provide them with selective advantages through lysogenic conversion, which could help determine the structure of co-existing bacterial communities. Because conditions such as periodontitis are associated with altered bacterial biota, phage mediated perturbations of bacterial communities have been hypothesized to play a role in promoting periodontal disease. Oral phage communities also differ significantly between periodontal health and disease, but the gene expression of oral phage communities has not been previously examined. Here, we provide the first report of gene expression profiles from the oral bacteriophage community using RNA sequencing, and find that oral phages are more highly expressed in subjects with relative periodontal health. While lysins were highly expressed, the high proportion of integrases expressed suggests that prophages may account for a considerable proportion of oral phage gene expression. Many of the transcriptome reads matched phages found in the oral cavities of the subjects studied, indicating that phages may account for a substantial proportion of oral gene expression. Reads homologous to siphoviruses that infect Firmicutes were amongst the most prevalent transcriptome reads identified in both periodontal health and disease. Some genes from the phage lytic module were significantly more highly expressed in subjects with periodontal disease, suggesting that periodontitis may favor the expression of some lytic phages. As we explore the contributions of viruses to the human microbiome, the data presented here suggest varying expression of bacteriophage communities in oral health and disease.

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X Demographics

The data shown below were collected from the profiles of 8 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 116 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 <1%
Portugal 1 <1%
Brazil 1 <1%
Unknown 113 97%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 19 16%
Researcher 15 13%
Student > Master 15 13%
Student > Bachelor 10 9%
Student > Doctoral Student 6 5%
Other 17 15%
Unknown 34 29%
Readers by discipline Count As %
Agricultural and Biological Sciences 28 24%
Medicine and Dentistry 16 14%
Immunology and Microbiology 11 9%
Biochemistry, Genetics and Molecular Biology 9 8%
Neuroscience 3 3%
Other 9 8%
Unknown 40 34%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 7. 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 May 2021.
All research outputs
#4,702,527
of 24,885,505 outputs
Outputs from BMC Genomics
#1,843
of 11,099 outputs
Outputs of similar age
#54,599
of 268,847 outputs
Outputs of similar age from BMC Genomics
#41
of 244 outputs
Altmetric has tracked 24,885,505 research outputs across all sources so far. Compared to these this one has done well and is in the 80th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 11,099 research outputs from this source. They receive a mean Attention Score of 4.8. This one has done well, scoring higher than 82% 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 268,847 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 78% of its contemporaries.
We're also able to compare this research output to 244 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 83% of its contemporaries.