Document Detail


Presence of Bacteroidales as a predictor of pathogens in surface waters of the central California coast.
MedLine Citation:
PMID:  20639358     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
The value of Bacteroidales genetic markers and fecal indicator bacteria (FIB) to predict the occurrence of waterborne pathogens was evaluated in ambient waters along the central California coast. Bacteroidales host-specific quantitative PCR (qPCR) was used to quantify fecal bacteria in water and provide insights into contributing host fecal sources. Over 140 surface water samples from 10 major rivers and estuaries within the Monterey Bay region were tested over 14 months with four Bacteroidales-specific assays (universal, human, dog, and cow), three FIB (total coliforms, fecal coliforms, and enterococci), two protozoal pathogens (Cryptosporidium and Giardia spp.), and four bacterial pathogens (Campylobacter spp., Escherichia coli O157:H7, Salmonella spp., and Vibrio spp.). Indicator and pathogen distribution was widespread, and detection was not highly seasonal. Vibrio cholerae was detected most frequently, followed by Giardia, Cryptosporidium, Salmonella, and Campylobacter spp. Bayesian conditional probability analysis was used to characterize the Bacteroidales performance assays, and the ratios of concentrations determined using host-specific and universal assays were used to show that fecal contamination from human sources was more common than livestock or dog sources in coastal study sites. Correlations were seen between some, but not all, indicator-pathogen combinations. The ability to predict pathogen occurrence in relation to indicator threshold cutoff levels was evaluated using a weighted measure that showed the universal Bacteroidales genetic marker to have a comparable or higher mean predictive potential than standard FIB. This predictive ability, in addition to the Bacteroidales assays providing information on contributing host fecal sources, supports using Bacteroidales assays in water quality monitoring programs.
Authors:
Alexander Schriewer; Woutrina A Miller; Barbara A Byrne; Melissa A Miller; Stori Oates; Patricia A Conrad; Dane Hardin; Hsuan-Hui Yang; Nadira Chouicha; Ann Melli; Dave Jessup; Clare Dominik; Stefan Wuertz
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Publication Detail:
Type:  Evaluation Studies; Journal Article; Research Support, Non-U.S. Gov't     Date:  2010-07-16
Journal Detail:
Title:  Applied and environmental microbiology     Volume:  76     ISSN:  1098-5336     ISO Abbreviation:  Appl. Environ. Microbiol.     Publication Date:  2010 Sep 
Date Detail:
Created Date:  2010-08-25     Completed Date:  2010-11-30     Revised Date:  2013-05-29    
Medline Journal Info:
Nlm Unique ID:  7605801     Medline TA:  Appl Environ Microbiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  5802-14     Citation Subset:  IM    
Affiliation:
Department of Civil and Environmental Engineering, University of California, Davis, One Shields Avenue, Davis, California 95616, USA.
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MeSH Terms
Descriptor/Qualifier:
Animals
Bacterial Load / methods
Bacteroidetes / genetics*,  isolation & purification
California
Cattle
Cryptosporidium / isolation & purification
Dogs
Enterobacteriaceae / isolation & purification
Enterococcus / isolation & purification
Environmental Monitoring / methods
Giardia / isolation & purification
Humans
Polymerase Chain Reaction / methods
Rivers / microbiology*,  parasitology*
Seawater / microbiology*,  parasitology*
Statistics as Topic
Comments/Corrections

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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