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Identifying Low pH Active and Lactate-Utilizing Taxa within Oral Microbiome Communities from Healthy Children Using Stable Isotope Probing Techniques

Overview of attention for article published in PLOS ONE, March 2012
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Title
Identifying Low pH Active and Lactate-Utilizing Taxa within Oral Microbiome Communities from Healthy Children Using Stable Isotope Probing Techniques
Published in
PLOS ONE, March 2012
DOI 10.1371/journal.pone.0032219
Pubmed ID
Authors

Jeffrey S. McLean, Sarah J. Fansler, Paul D. Majors, Kathleen McAteer, Lisa Z. Allen, Mark E. Shirtliff, Renate Lux, Wenyuan Shi

Abstract

Many human microbial infectious diseases including dental caries are polymicrobial in nature. How these complex multi-species communities evolve from a healthy to a diseased state is not well understood. Although many health- or disease-associated oral bacteria have been characterized in vitro, their physiology within the complex oral microbiome is difficult to determine with current approaches. In addition, about half of these species remain uncultivated to date with little known besides their 16S rRNA sequence. Lacking culture-based physiological analyses, the functional roles of uncultivated species will remain enigmatic despite their apparent disease correlation. To start addressing these knowledge gaps, we applied a combination of Magnetic Resonance Spectroscopy (MRS) with RNA and DNA based Stable Isotope Probing (SIP) to oral plaque communities from healthy children for in vitro temporal monitoring of metabolites and identification of metabolically active and inactive bacterial species.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 108 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 4 4%
United Kingdom 1 <1%
Mexico 1 <1%
Brazil 1 <1%
Unknown 101 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 24 22%
Student > Bachelor 13 12%
Student > Ph. D. Student 12 11%
Student > Master 11 10%
Professor > Associate Professor 9 8%
Other 21 19%
Unknown 18 17%
Readers by discipline Count As %
Agricultural and Biological Sciences 37 34%
Medicine and Dentistry 25 23%
Immunology and Microbiology 6 6%
Biochemistry, Genetics and Molecular Biology 5 5%
Engineering 5 5%
Other 11 10%
Unknown 19 18%