
Water Science & Technology Vol 53 No 1 pp 259266 © IWA Publishing 2006
The microbial signature of drinking waters: myth or reality?
J. Harmand*, L. Paulou**, J. Desmoutiers***, L Garrelly****, P. Dabert***** and J.J. Godon******
*Laboratoire de Biotechnologie de l'Environnement, INRA-LBE, Avenue des étangs, 11100 Narbonne, France, (E-mail: harmand@ensam.inra.fr)
**Laboratoire de Biotechnologie de l'Environnement, INRA-LBE, Avenue des étangs, 11100 Narbonne, France, (E-mail: harmand@ensam.inra.fr)
***Laboratoire de Biotechnologie de l'Environnement, INRA-LBE, Avenue des étangs, 11100 Narbonne, France, (E-mail: harmand@ensam.inra.fr)
****Bouisson Bertrand Laboratoires, Parc Euromédecine, 778 rue de la croix verte 34196 Montpellier cedex, 5, France
*****Laboratoire de Biotechnologie de l'Environnement, INRA-LBE, Avenue des étangs, 11100 Narbonne, France, (E-mail: harmand@ensam.inra.fr)
******Laboratoire de Biotechnologie de l'Environnement, INRA-LBE, Avenue des étangs, 11100 Narbonne, France, (E-mail: harmand@ensam.inra.fr)
ABSTRACT
This paper presents a new software developed for analyzing single strand conformation polymorphism (SSCP) electrophoresis patterns delivered by the genetic analyzer ABI310 (Applied Biosystems). SSCP is a molecular typing technique based on the PCR amplification of microbial 16S rDNA and used for the monitoring of complex microbial ecosystems dynamics. The software – a home-made MATLAB toolbox called MODIMECO – developed for the analysis of SSCP patterns is presented. MODIMECO includes a number of basic signal processing abilities as well as largely used statistical tools such as the well known principal component analysis. The use of the SSCP for assessing the hypothesis of the existence of a microbial signature of drinking waters illustrates the typical advantages of using such software tools. Results are discussed and conclusions drawn. Keywords MATLAB toolbox; software; 16S rDNA single strand conformation polymorphism; pattern analysis; microbial signature; classification; PCA
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