Sophie Mieszkin
IFREMER
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Featured researches published by Sophie Mieszkin.
Applied and Environmental Microbiology | 2009
Sophie Mieszkin; Jean-Pierre Furet; Gérard Corthier; Michele Gourmelon
ABSTRACT The microbiological quality of coastal or river water can be affected by fecal contamination from human or animal sources. To discriminate pig fecal pollution from other pollution, a library-independent microbial source tracking method targeting Bacteroidales host-specific 16S rRNA gene markers by real-time PCR was designed. Two pig-specific Bacteroidales markers (Pig-1-Bac and Pig-2-Bac) were designed using 16S rRNA gene Bacteroidales clone libraries from pig feces and slurry. For these two pig markers, 98 to 100% sensitivity and 100% specificity were obtained when tested by TaqMan real-time PCR. A decrease in the concentrations of Pig-1-Bac and Pig-2-Bac markers was observed throughout the slurry treatment chain. The two newly designed pig-specific Bacteroidales markers, plus the human-specific (HF183) and ruminant-specific (BacR) Bacteroidales markers, were then applied to river water samples (n = 24) representing 14 different sites from the French Daoulas River catchment (Brittany, France). Pig-1-Bac and Pig-2-Bac were quantified in 25% and 62.5%, respectively, of samples collected around pig farms, with concentrations ranging from 3.6 to 4.1 log10 copies per 100 ml of water. They were detected in water samples collected downstream from pig farms but never detected near cattle farms. HF183 was quantified in 90% of water samples collected downstream near Daoulas town, with concentrations ranging between 3.6 and 4.4 log10 copies per 100 ml of water, and BacR in all water samples collected around cattle farms, with concentrations ranging between 4.6 and 6.0 log10 copies per 100 ml of water. The results of this study highlight that pig fecal contamination was not as frequent as human or bovine fecal contamination and that fecal pollution generally came from multiple origins. The two pig-specific Bacteroidales markers can be applied to environmental water samples to detect pig fecal pollution.
Water Research | 2010
Michele Gourmelon; Marie-Paule Caprais; Sophie Mieszkin; Romain Marti; Nathalie Wéry; Emilie Jardé; Marc Derrien; P. Y. Communal; A. Jaffrezic; Anne-Marie Pourcher
The microbiological quality of coastal or river waters can be affected by faecal pollution from human or animal sources. An efficient MST (Microbial Source Tracking) toolbox consisting of several host-specific markers would therefore be valuable for identifying the origin of the faecal pollution in the environment and thus for effective resource management and remediation. In this multidisciplinary study, after having tested some MST markers on faecal samples, we compared a selection of 17 parameters corresponding to chemical (steroid ratios, caffeine, and synthetic compounds), bacterial (host-specific Bacteroidales, Lactobacillus amylovorus and Bifidobacterium adolescentis) and viral (genotypes I-IV of F-specific bacteriophages, FRNAPH) markers on environmental water samples (n = 33; wastewater, runoff and river waters) with variable Escherichia coli concentrations. Eleven microbial and chemical parameters were finally chosen for our MST toolbox, based on their specificity for particular pollution sources represented by our samples and their detection in river waters impacted by human or animal pollution; these were: the human-specific chemical compounds caffeine, TCEP (tri(2-chloroethyl)phosphate) and benzophenone; the ratios of sitostanol/coprostanol and coprostanol/(coprostanol+24-ethylcopstanol); real-time PCR (Polymerase Chain Reaction) human-specific (HF183 and B. adolescentis), pig-specific (Pig-2-Bac and L. amylovorus) and ruminant-specific (Rum-2-Bac) markers; and human FRNAPH genogroup II.
Journal of Applied Microbiology | 2010
Sophie Mieszkin; Jean Fabrice Yala; Rozenn Joubrel; Michele Gourmelon
Aims: The aims of this study were to evaluate the host‐specific distribution of Bacteroidales 16S rRNA gene sequences from human‐ and animal‐related effluents and faeces, and to define a ruminant‐specific marker.
Water Research | 2013
Meredith Raith; Catherine A. Kelty; John F. Griffith; Alexander Schriewer; Stefan Wuertz; Sophie Mieszkin; Michele Gourmelon; Georg H. Reischer; Andreas H. Farnleitner; Jared S. Ervin; Patricia A. Holden; Darcy L. Ebentier; Jennifer A. Jay; Dan Wang; Alexandria B. Boehm; Tiong Gim Aw; Joan B. Rose; Elisenda Ballesté; Wim G. Meijer; Mano Sivaganesan; Orin C. Shanks
The State of California has mandated the preparation of a guidance document on the application of fecal source identification methods for recreational water quality management. California contains the fifth highest population of cattle in the United States, making the inclusion of cow-associated methods a logical choice. Because the performance of these methods has been shown to change based on geography and/or local animal feeding practices, laboratory comparisons are needed to determine which assays are best suited for implementation. We describe the performance characterization of two end-point PCR assays (CF128 and CF193) and five real-time quantitative PCR (qPCR) assays (Rum2Bac, BacR, BacCow, CowM2, and CowM3) reported to be associated with either ruminant or cattle feces. Each assay was tested against a blinded set of 38 reference challenge filters (19 duplicate samples) containing fecal pollution from 12 different sources suspected to impact water quality. The abundance of each host-associated genetic marker was measured for qPCR-based assays in both target and non-target animals and compared to quantities of total DNA mass, wet mass of fecal material, as well as Bacteroidales, and enterococci determined by 16S rRNA qPCR and culture-based approaches (enterococci only). Ruminant- and cow-associated genetic markers were detected in all filters containing a cattle fecal source. However, some assays cross-reacted with non-target pollution sources. A large amount of variability was evident across laboratories when protocols were not fixed suggesting that protocol standardization will be necessary for widespread implementation. Finally, performance metrics indicate that the cattle-associated CowM2 qPCR method combined with either the BacR or Rum2Bac ruminant-associated methods are most suitable for implementation.
Journal of Applied Microbiology | 2011
Romain Marti; Sophie Mieszkin; O. Solecki; Anne-Marie Pourcher; Dominique Hervio-Heath; Michele Gourmelon
Aims: The aim is to evaluate the dynamic of Bacteroides–Prevotella and Bacillus–Streptococcus–Lactobacillus populations originating from pig manure and the persistence of pig‐associated markers belonging to these groups according to temperature and oxygen.
Journal of Environmental Quality | 2011
Anne Jaffrézic; Emilie Jardé; Anne-Marie Pourcher; Michele Gourmelon; Marie-Paule Caprais; Djilali Heddadj; Patrice Cottinet; Muhamad Bilal; Morgane Derrien; Romain Marti; Sophie Mieszkin
Fecal contamination of water resources is evaluated by the enumeration of the fecal coliforms and Enterococci. However, the enumeration of these indicators does not allow us to differentiate between the sources of fecal contamination. Therefore, it is important to use alternative indicators of fecal contamination to identify livestock contamination in surface waters. The concentration of fecal indicators (, enteroccoci, and F-specific bacteriophages), microbiological markers (Rum-2-bac, Pig-2-bac, and ), and chemical fingerprints (sterols and stanols and other chemical compounds analyzed by 3D-fluorescence excitation-matrix spectroscopy) were determined in runoff waters generated by an artificial rainfall simulator. Three replicate plot experiments were conducted with swine slurry and cattle manure at agronomic nitrogen application rates. Low amounts of bacterial indicators (1.9-4.7%) are released in runoff water from swine-slurry-amended soils, whereas greater amounts (1.1-28.3%) of these indicators are released in runoff water from cattle-manure-amended soils. Microbial and chemical markers from animal manure were transferred to runoff water, allowing discrimination between swine and cattle fecal contamination in the environment via runoff after manure spreading. Host-specific bacterial and chemical markers were quantified for the first time in runoff waters samples after the experimental spreading of swine slurry or cattle manure.
Journal of Applied Microbiology | 2013
Sophie Mieszkin; Marie-Paule Caprais; Cecile Le Mennec; Manon Le Goff; Thomas A. Edge; Michele Gourmelon
The aim of this study was to identify the origin of faecal pollution impacting the Elorn estuary (Brittany, France) by applying microbial source tracking (MST) markers in both oysters and estuarine waters.
Marine Pollution Bulletin | 2013
Aourell Mauffret; Sophie Mieszkin; Mael Morizur; Yustian Rovi Alfiansah; Solen Lozach; Michele Gourmelon
We assessed the capacity of real-time PCR markers to identify the origin of contamination in shellfish. Oyster, cockles or clams were either contaminated with fecal materials and host-associated markers designed from Bacteroidales or Catellicoccus marimammalium 16S RNA genes were extracted from their intravalvular liquid, digestive tissues or shellfish flesh. Extraction of bacterial DNA from the oyster intravalvular liquid with FastDNA spin kit for soil enabled the selected markers to be quantified in 100% of artificially contaminated samples, and the source of contamination to be identified in 13 out of 38 naturally contaminated batches from European Class B and Class C areas. However, this protocol did not enable the origin of the contamination to be identified in cockle or clam samples. Although results are promising for extracts from intravalvular liquid in oyster, it is unlikely that a single protocol could be the best across all bacterial markers and types of shellfish.
Water Science and Technology | 2010
Michele Gourmelon; Marie-Paule Caprais; C. Le Mennec; Sophie Mieszkin; C. Ponthoreau; M. Gendronneau
ICMSS09 – Nantes, France – June 2009 | 2009
Sophie Mieszkin; Jean-Pierre Furet; Gérard Corthier; Monique Pommepuy; Jean-Claude Le Saux; Morgane Bougeard; Dominique Hervio Heath; Michele Gourmelon