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Martin-Laurent, F., Philippot, L., Hallet, S., Chaussod, R., Germon, J.C., Soulas, G. and Catroux, G. (2001) DNA Extraction from Soils: Old Bias for New Microbial Diversity Analysis Methods. Applied and Environmental Microbiology, 67, 2354-2359.
https://doi.org/10.1128/AEM.67.5.2354-2359.2001

has been cited by the following article:

• TITLE: Metagenomic rDNA Profiles of the Oral Microbiome in Healthy Subjects Are Distinctive Compared to That in Smokers and Disease Subjects Despite High Variations between Subjects

  AUTHORS: Shreyasee Chakraborty, Nwadiuto Esiobu

  KEYWORDS: Oral Microbiome, Metagenomic

  JOURNAL NAME: Advances in Microbiology, Vol.7 No.2, February 27, 2017

  ABSTRACT: The vital role of oral microbiome in the well-being of humans is only beginning to be unraveled. Employing a rigorous analysis of PCR-restriction fragment length polymorphisms (PCR-RFLP) and DNA fingerprints from denatured gradient gel electrophoresis (PCR-DGGE) of the 16S rDNA gene in metagenomic samples, this study evaluated the stability of the oral microbiome and contrasted the PCR-DGGE profiles of subjects belonging to three groups—healthy, smokers and oral diseases; in search of distinctive patterns predictive of each group. The DNA band size, intensity and profile generated by three restriction enzymes from a 1500 bp amplicon showed a fairly stable microbial community structure (P H' = 0.99 ± 0.12; S = 2.87 ± 0.75) and oral disease mouths (H' = 1.06 ± 0.085; S = 2.86 ± 0.31), than in healthy subjects (H' = 0.926 ± 0.07; S = 1.79 ± 0.56) suggesting that smoking is associated with a microbial community shift towards the structure found in poor oral health. It is clear that the human oral bacteria symbionts are not all random colonizers. Rather some of them constitute a fragile stable dynamic community whose disturbance could lead to disease or be indicative of disease. Understanding the dynamics of the bacterial community structure in health and disease states is a prerequisite to developing effective preventive healthcare and rapid diagnosis of diseases.