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A molecular ecological approach to the detection and designation of the etiological agents of a model polymicrobial disease

Overview of attention for article published in Journal of Veterinary Diagnostic Investigation, June 2013
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Title
A molecular ecological approach to the detection and designation of the etiological agents of a model polymicrobial disease
Published in
Journal of Veterinary Diagnostic Investigation, June 2013
DOI 10.1177/1040638713493628
Pubmed ID
Authors

John Francis Antiabong, Daniel Jardine, Wayne Boardman, Melissa H. Brown, Andrew S. Ball

Abstract

The application of the original Koch postulates and the molecular Koch postulates in the definition of the etiological agents of polymicrobial diseases has received little or no attention. In the present study, denaturing gradient gel electrophoresis (DGGE) of oral samples (n = 3) from each of 3 categories of animals (healthy, diseased [gingivitis], and then oxytetracycline-treated) was used and revealed different bacterial community structures in a model polymicrobial disease (gingivitis) and after clinical cure. Potential microbes associated with the disease and belonging to the following families were identified: Fusobacteriaceae, Porphyromonadaceae, Flavobacteriaceae, Alcanivoracaceae, Bacteroidaceae, Xanthomonadaceae, and Neisseriaceae. Liquid chromatography-mass spectrophotometric analysis of culturable anaerobic bacteria culture supernatant revealed 3 major compounds (2-hydroxycaproic acid, phenyllactic acid, and indole acetic acid) that differentiated the healthy and disease groups. Results indicate that different microbial community structures were associated with the healthy and disease oral states. The results demonstrate the potential of DGGE as a tool in the detection and designation of etiological agents of polymicrobial diseases.

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The data shown below were collected from the profile of 1 X user 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 8 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 8 100%

Demographic breakdown

Readers by professional status Count As %
Researcher 2 25%
Student > Ph. D. Student 1 13%
Student > Bachelor 1 13%
Student > Master 1 13%
Student > Postgraduate 1 13%
Other 0 0%
Unknown 2 25%
Readers by discipline Count As %
Immunology and Microbiology 2 25%
Computer Science 1 13%
Biochemistry, Genetics and Molecular Biology 1 13%
Social Sciences 1 13%
Medicine and Dentistry 1 13%
Other 0 0%
Unknown 2 25%
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 12 July 2013.
All research outputs
#20,196,270
of 22,714,025 outputs
Outputs from Journal of Veterinary Diagnostic Investigation
#1,235
of 1,571 outputs
Outputs of similar age
#172,313
of 196,791 outputs
Outputs of similar age from Journal of Veterinary Diagnostic Investigation
#9
of 13 outputs
Altmetric has tracked 22,714,025 research outputs across all sources so far. This one is in the 1st percentile – i.e., 1% of other outputs scored the same or lower than it.
So far Altmetric has tracked 1,571 research outputs from this source. They receive a mean Attention Score of 2.8. This one is in the 1st percentile – i.e., 1% of its peers scored the same or lower than it.
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We're also able to compare this research output to 13 others from the same source and published within six weeks on either side of this one. This one is in the 1st percentile – i.e., 1% of its contemporaries scored the same or lower than it.