TY - JOUR
T1 - Multi-laboratory evaluations of the performance of Catellicoccus marimammalium PCR assays developed to target gull fecal sources
AU - Sinigalliano, Christopher D.
AU - Ervin, Jared S.
AU - Van De Werfhorst, Laurie C.
AU - Badgley, Brian D.
AU - Ballesté, Elisenda
AU - Bartkowiak, Jakob
AU - Boehm, Alexandria B.
AU - Byappanahalli, Muruleedhara
AU - Goodwin, Kelly D.
AU - Gourmelon, Michèle
AU - Griffith, John
AU - Holden, Patricia A.
AU - Jay, Jenny
AU - Layton, Blythe
AU - Lee, Cheonghoon
AU - Lee, Jiyoung
AU - Meijer, Wim G.
AU - Noble, Rachel
AU - Raith, Meredith
AU - Ryu, Hodon
AU - Sadowsky, Michael J.
AU - Schriewer, Alexander
AU - Wang, Dan
AU - Wanless, David
AU - Whitman, Richard
AU - Wuertz, Stefan
AU - Santo Domingo, Jorge W.
PY - 2013/11/15
Y1 - 2013/11/15
N2 - Here we report results from a multi-laboratory (n=11) evaluation of four different PCR methods targeting the 16S rRNA gene of Catellicoccus marimammalium originally developed to detect gull fecal contamination in coastal environments. The methods included a conventional end-point PCR method, a SYBR® Green qPCR method, and two TaqMan® qPCR methods. Different techniques for data normalization and analysis were tested. Data analysis methods had a pronounced impact on assay sensitivity and specificity calculations. Across-laboratory standardization of metrics including the lower limit of quantification (LLOQ), target detected but not quantifiable (DNQ), and target not detected (ND) significantly improved results compared to results submitted by individual laboratories prior to definition standardization. The unit of measure used for data normalization also had a pronounced effect on measured assay performance. Data normalization to DNA mass improved quantitative method performance as compared to enterococcus normalization. The MST methods tested here were originally designed for gulls but were found in this study to also detect feces from other birds, particularly feces composited from pigeons. Sequencing efforts showed that some pigeon feces from California contained sequences similar to C. marimammalium found in gull feces. These data suggest that the prevalence, geographic scope, and ecology of C. marimammalium in host birds other than gulls require further investigation. This study represents an important first step in the multi-laboratory assessment of these methods and highlights the need to broaden and standardize additional evaluations, including environmentally relevant target concentrations in ambient waters from diverse geographic regions.
AB - Here we report results from a multi-laboratory (n=11) evaluation of four different PCR methods targeting the 16S rRNA gene of Catellicoccus marimammalium originally developed to detect gull fecal contamination in coastal environments. The methods included a conventional end-point PCR method, a SYBR® Green qPCR method, and two TaqMan® qPCR methods. Different techniques for data normalization and analysis were tested. Data analysis methods had a pronounced impact on assay sensitivity and specificity calculations. Across-laboratory standardization of metrics including the lower limit of quantification (LLOQ), target detected but not quantifiable (DNQ), and target not detected (ND) significantly improved results compared to results submitted by individual laboratories prior to definition standardization. The unit of measure used for data normalization also had a pronounced effect on measured assay performance. Data normalization to DNA mass improved quantitative method performance as compared to enterococcus normalization. The MST methods tested here were originally designed for gulls but were found in this study to also detect feces from other birds, particularly feces composited from pigeons. Sequencing efforts showed that some pigeon feces from California contained sequences similar to C. marimammalium found in gull feces. These data suggest that the prevalence, geographic scope, and ecology of C. marimammalium in host birds other than gulls require further investigation. This study represents an important first step in the multi-laboratory assessment of these methods and highlights the need to broaden and standardize additional evaluations, including environmentally relevant target concentrations in ambient waters from diverse geographic regions.
KW - Catellicoccus marimammalium
KW - Fecal indicator bacteria
KW - Gulls
KW - Microbial source tracking
KW - Quantitative PCR
KW - Water quality monitoring
UR - http://www.scopus.com/inward/record.url?scp=84887170528&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84887170528&partnerID=8YFLogxK
U2 - 10.1016/j.watres.2013.02.059
DO - 10.1016/j.watres.2013.02.059
M3 - Article
C2 - 23916157
AN - SCOPUS:84887170528
SN - 0043-1354
VL - 47
SP - 6883
EP - 6896
JO - Water Research
JF - Water Research
IS - 18
ER -