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Title: Development of new host-specific Bacteroides qPCRs for the identification of fecal contamination sources in water
Author: Gómez Doñate, Marta
Casanovas i Massana, Arnau
Muniesa Pérez, Ma Teresa
Blanch i Gisbert, Anicet
Keywords: Contaminació de l'aigua
Water pollution
Issue Date: 14-Jan-2016
Publisher: John Wiley & Sons
Abstract: Bacteroides spp. have been proposed as indicators of fecal contamination in microbial source tracking (MST) methodologies. The aim of this study was to develop new qPCR assays that target host-specific Bacteroidal 16S ribosomal RNA genes, to determine the source of fecal contamination in water. Denaturing gradient gel electrophoresis (DGGE) was used to select for host-specific bands of Bacteroides associated with a fecal pollution source and later to design four qPCR host-specific assays. A set of common primers for Bacteroides spp., four different Bacteroides spp. host-associated hydrolysis probes (human, cattle, pig, and poultry), and one hydrolysis probe for the Bacteroides genus were designed. This set of qPCR assays together with other previously developed Bacteroidetes MST targets were used to analyze water samples with fecal contamination from the four sources studied. The host-specific Bacteroides qPCRs designed for human (HMprobeBac), pig (PGprobeBac), and poultry (PLprobeBac) were highly specific for its sources (1.0, 0.97, and 1.0, respectively) although its sensitivity was lower (0.45, 0.50, and 0.73, respectively). The cattle-specific qPCR was totally unspecific and was discarded for future experiments. When compared to previously designed assays, the human and pig qPCRs showed better accuracies (0.86 and 0.84) than their counterparts HF183 and Pig-2-Bac (0.38 and 0.65). Thus, the newly designed human, pig, and poultry qPCR assays outperform other methods developed until date and may be useful for source tracking purposes
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It is part of: MicrobiologyOpen, 2016, vol. 5, num. 1, p. 83-94
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ISSN: 2045-8827
Appears in Collections:Articles publicats en revistes (Genètica, Microbiologia i Estadística)

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