Bacterial Pathogen Gene Abundance and Relation to Recreational Water Quality at Seven Great Lakes Beaches

Quantitative assessment of bacterial pathogens, their geographic variability, and distribution in various matrices at Great Lakes beaches are limited. Quantitative PCR (qPCR) was used to test for genes from E. coli O157:H7 (eae O157), shiga-toxin producing E. coli (stx2), Campylobacter jejuni (mapA)...

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Veröffentlicht in:Environmental science & technology 2014-12, Vol.48 (24), p.14148-14157
Hauptverfasser: Oster, Ryan J, Wijesinghe, Rasanthi U, Haack, Sheridan K, Fogarty, Lisa R, Tucker, Taaja R, Riley, Stephen C
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container_end_page 14157
container_issue 24
container_start_page 14148
container_title Environmental science & technology
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creator Oster, Ryan J
Wijesinghe, Rasanthi U
Haack, Sheridan K
Fogarty, Lisa R
Tucker, Taaja R
Riley, Stephen C
description Quantitative assessment of bacterial pathogens, their geographic variability, and distribution in various matrices at Great Lakes beaches are limited. Quantitative PCR (qPCR) was used to test for genes from E. coli O157:H7 (eae O157), shiga-toxin producing E. coli (stx2), Campylobacter jejuni (mapA), Shigella spp. (ipaH), and a Salmonella enterica-specific (SE) DNA sequence at seven Great Lakes beaches, in algae, water, and sediment. Overall, detection frequencies were mapA>­stx2>ipaH>SE>eae O157 . Results were highly variable among beaches and matrices; some correlations with environmental conditions were observed for mapA, stx2, and ipaH detections. Beach seasonal mean mapA abundance in water was correlated with beach seasonal mean log10 E. coli concentration. At one beach, stx2 gene abundance was positively correlated with concurrent daily E. coli concentrations. Concentration distributions for stx2, ipaH, and mapA within algae, sediment, and water were statistically different (Non-Detect and Data Analysis in R). Assuming 10, 50, or 100% of gene copies represented viable and presumably infective cells, a quantitative microbial risk assessment tool developed by Michigan State University indicated a moderate probability of illness for Campylobacter jejuni at the study beaches, especially where recreational water quality criteria were exceeded. Pathogen gene quantification may be useful for beach water quality management.
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Beach seasonal mean mapA abundance in water was correlated with beach seasonal mean log10 E. coli concentration. At one beach, stx2 gene abundance was positively correlated with concurrent daily E. coli concentrations. Concentration distributions for stx2, ipaH, and mapA within algae, sediment, and water were statistically different (Non-Detect and Data Analysis in R). Assuming 10, 50, or 100% of gene copies represented viable and presumably infective cells, a quantitative microbial risk assessment tool developed by Michigan State University indicated a moderate probability of illness for Campylobacter jejuni at the study beaches, especially where recreational water quality criteria were exceeded. Pathogen gene quantification may be useful for beach water quality management.</abstract><cop>Washington, DC</cop><pub>American Chemical Society</pub><pmid>25423586</pmid><doi>10.1021/es5038657</doi><tpages>10</tpages></addata></record>
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subjects Animal, plant and microbial ecology
Applied sciences
Bacteria
Bacteria - genetics
Bacteria - isolation & purification
Bacterial Proteins - genetics
Bathing Beaches
Beaches
Biological and medical sciences
Campylobacter
Campylobacter jejuni
E coli
Environmental Monitoring
Exact sciences and technology
Fundamental and applied biological sciences. Psychology
Genes
Great Lakes Region
Lakes - microbiology
Microbial ecology
Natural water pollution
Pathogens
Pollution
Polymerase Chain Reaction
Salmonella
Seawaters, estuaries
Various environments (extraatmospheric space, air, water)
Water Quality
Water treatment and pollution
title Bacterial Pathogen Gene Abundance and Relation to Recreational Water Quality at Seven Great Lakes Beaches
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