Application of a microbial source tracking based on bacterial and chemical markers in headwater and coastal catchments
|Author(s)||Jarde Emilie1, Jeanneau Laurent1, Harrault Loic1, 5, Quenot Emmanuelle2, Solecki Olivia3, Petitjean Patrice1, Lozach Solen2, Cheve Julien4, Gourmelon Michele2|
|Affiliation(s)||1 : CNRS, Geosci Rennes, UMR6118, Campus Beaulieu,Bat 15,263 Ave Gen Leclerc, F-35042 Rennes, France.
2 : Ifremer, RBE SG2M ISEM, Lab Sante Environm Microbiol, CS 10070, F-29280 Plouzane, France.
3 : IRSTEA, UR OPAALE, 17 Ave Cucille,CS 64427, F-35044 Rennes, France.
4 : Ifremer, Lab Environm Ressources Bretagne Nord, 38 Rue Port Blanc,BP 70134, F-35801 Dinard, France.
5 : Univ Aberdeen, Dept Archaeol, Sch Geosci, Aberdeen, Scotland.
|Source||Science Of The Total Environment (0048-9697) (Elsevier Science Bv), 2018-01 , Vol. 610-611 , P. 55-63|
|WOS© Times Cited||26|
|Keyword(s)||Fecal contamination, Host-associated Bacteroidales markers, Fecal stanols, Rainfall, MST toolbox, Mitigation actions|
This study identified sources of fecal contamination in three different French headwater and coastal catchments (the Justiçou, Pen an Traon, and La Fresnaye) using a combination of microbial source tracking tools. The tools included bacterial markers (three host-associated Bacteroidales) and chemical markers (six fecal stanols), which were monitored monthly over one or two years in addition to fecal indicator bacteria. 168 of the 240 freshwater and marine water samples had Escherichia coli (E. coli) or enterococci concentrations higher than “excellent” European water quality threshold. In the three catchments, the results suggested that the fecal contamination appeared to be primarily from an animal origin and particularly from a bovine origin in 52% (Rum2Bac) and 46% (Bstanol) of the samples and to a lesser extent from a porcine origin in 19% (Pig2Bac) and 21% (Pstanol) of the samples. Our results suggested a human fecal contamination in 56% (HF183) and 32% (Hstanol) of the samples. Rainfall also impacted the source identification of microbial contamination. In general, these findings could inform effective implementation of microbial source tracking strategies, specifically that the location of sampling points must include variability at the landscape scale.