scholarly journals Antimicrobial-resistant enterobacteria in surface waters with fecal contamination from urban and rural communities

2021 ◽  
Vol 54 ◽  
Author(s):  
Vanessa Tibolla Moretto ◽  
Soraia Machado Cordeiro ◽  
Patricia Salcedo Bartley ◽  
Luciano Kalabric Silva ◽  
Rafael Ponce-Terashima ◽  
...  
Keyword(s):  
Rural Communities ◽  
Surface Waters ◽  
Fecal Contamination

scholarly journals Evaluation of microbial source tracking methods using mixed fecal sources in aqueous test samples

2003 ◽  
Vol 1 (4) ◽  
pp. 141-151 ◽  
Author(s):  
John F. Griffith ◽  
Stephen B. Weisberg ◽  
Charles D. McGee
Keyword(s):  
Surface Waters ◽  
Water Samples ◽  
Fecal Contamination ◽  
Source Material ◽  
Source Tracking ◽  
Fecal Material ◽  
Comparative Testing ◽  
Specific Pcr ◽  
Phenotypic Methods ◽  
Better Than

Microbiological source tracking (MST) methods are increasingly being used to identify fecal contamination sources in surface waters, but these methods have been subjected to limited comparative testing. In this study, 22 researchers employing 12 different methods were provided sets of identically prepared blind water samples. Each sample contained one to three of five possible fecal sources (human, dog, cattle, seagull or sewage). Researchers were also provided with portions of the fecal material used to inoculate the blind water samples for use as library material. No MST method that was tested predicted the source material in the blind samples perfectly. Host-specific PCR performed best at differentiating between human and non-human sources, but primers are not yet available for differentiating between all of the non-human sources. Virus and F+ coliphage methods reliably identified sewage, but were unable to identify fecal contamination from individual humans. Library-based isolate methods correctly identified the dominant source in most samples, but also had frequent false positives in which fecal sources not in the samples were incorrectly identified as being present. Among the library-based methods, genotypic methods generally performed better than phenotypic methods.

Male-specific coliphages for source tracking fecal contamination in surface waters and prevalence of Shiga-toxigenic Escherichia coli in a major produce production region of the Central Coast of California

2015 ◽  
Vol 17 (7) ◽  
pp. 1249-1256 ◽  
Author(s):  
Subbarao V. Ravva ◽  
Chester Z. Sarreal ◽  
Michael B. Cooley
Keyword(s):  
Escherichia Coli ◽  
Surface Waters ◽  
Fecal Contamination ◽  
Enteric Pathogens ◽  
Source Tracking ◽  
Central Coast ◽  
Prevalence Data ◽  
Production Region ◽  
Male Specific

F+ RNA coliphages are invaluable for predicting the sources of fecal contamination in the environment and their prevalence data may aid in preventing the spread of enteric pathogens from likely sources.

scholarly journals Fecal Contamination of Drinking Water Was Associated with Diarrheal Pathogen Carriage among Children Younger than 5 Years in Three Peruvian Rural Communities

2020 ◽  
Vol 102 (6) ◽  
pp. 1279-1285
Author(s):  
Steev Loyola ◽  
Juan F. Sanchez ◽  
Edson Maguiña ◽  
Enrique Canal ◽  
Rosa Castillo ◽  
...  
Keyword(s):  
Drinking Water ◽  
Rural Communities ◽  
Fecal Contamination

scholarly journals Microbial source tracking of fecal contamination in Laguna Lake, Philippines using the library-dependent method, rep-PCR

2021 ◽  
Author(s):  
Laurice Beatrice Raphaelle O. dela Peña ◽  
Kevin L. Labrador ◽  
Mae Ashley G. Nacario ◽  
Nicole R. Bolo ◽  
Windell L. Rivera
Keyword(s):  
Surface Waters ◽  
Fecal Contamination ◽  
Microbial Source Tracking ◽  
The Philippines ◽  
Source Tracking ◽  
Source Attribution ◽  
Monitoring Methods ◽  
K Nearest Neighbors ◽  
Fecal Indicator ◽  
Laguna Lake

Abstract Laguna Lake is an economically important resource in the Philippines, with reports of declining water quality due to fecal pollution. Currently, monitoring methods rely on counting fecal indicator bacteria, which does not supply information on potential sources of contamination. In this study, we predicted sources of Escherichia coli in lake stations and tributaries by establishing a fecal source library composed of rep-PCR DNA fingerprints of human, cattle, swine, poultry, and sewage samples (n = 1,408). We also evaluated three statistical methods for predicting fecal contamination sources in surface waters. Random forest (RF) outperformed k-nearest neighbors and discriminant analysis of principal components in terms of average rates of correct classification in two- (84.85%), three- (82.45%), and five-way (74.77%) categorical splits. Overall, RF exhibited the most balanced prediction, which is crucial for disproportionate libraries. Source tracking of environmental isolates (n = 332) revealed the dominance of sewage (47.59%) followed by human sources (29.22%), poultry (12.65%), swine (7.23%), and cattle (3.31%) using RF. This study demonstrates the promising utility of a library-dependent method in augmenting current monitoring systems for source attribution of fecal contamination in Laguna Lake. This is also the first known report of microbial source tracking using rep-PCR conducted in surface waters of the Laguna Lake watershed.

scholarly journals Fecal Contamination Contributes to the “Resistome” of Urban Surface Waters in Northeast Brazil

2016 ◽  
Vol 3 (suppl_1) ◽  
Author(s):  
Patricia Bartley ◽  
Cleiton Santos ◽  
Vanessa Moretto ◽  
Viviane Ferreira ◽  
T. Nicholas Domitrovic ◽  
...  
Keyword(s):  
Surface Waters ◽  
Fecal Contamination ◽  
Urban Surface ◽  
Northeast Brazil

scholarly journals Host Species-Specific Metabolic Fingerprint Database for Enterococci and Escherichia coli and Its Application To Identify Sources of Fecal Contamination in Surface Waters

2005 ◽  
Vol 71 (8) ◽  
pp. 4461-4468 ◽  
Author(s):  
W. Ahmed ◽  
R. Neller ◽  
M. Katouli
Keyword(s):  
Escherichia Coli ◽  
Surface Waters ◽  
Water Samples ◽  
Fecal Contamination ◽  
E Coli ◽  
Individual Host ◽  
Metabolic Fingerprint ◽  
The Mean ◽  
Species Specific ◽  
Fingerprint Database

ABSTRACT A metabolic fingerprint database of enterococci and Escherichia coli from 10 host groups of animals was developed to trace the sources of fecal contamination in surface waters. In all, 526 biochemical phenotypes (BPTs) of enterococci and 530 E. coli BPTs were obtained from 4,057 enterococci and 3,728 E. coli isolates tested. Of these, 231 Enterococcus BPTs and 257 E. coli BPTs were found in multiple host groups. The remaining 295 Enterococcus BPTs and 273 E. coli BPTs were unique to individual host groups. The database was used to trace the sources of fecal contamination in a local creek. The mean diversities (Di) of enterococci (Di = 0.76 ± 0.05) and E. coli (Di = 0.88 ± 0.04) were high (maximum 1) in water samples, indicating diverse sources of fecal contamination. Overall, 71% of BPTs of enterococci and 67% of E. coli BPTs from water samples were identified as human and animal sources. Altogether, 248 Enterococcus BPTs and 282 E. coli BPTs were found in water samples. Among enterococci, 26 (10%) BPTs were identical to those of humans and 152 BPTs (61%) were identical to those of animals (animal BPTs). Among E. coli isolates, 36 (13%) BPTs were identical to those of humans and 151 (54%) BPTs were identical to those of animals. Of the animal BPTs, 101 (66%) Enterococcus BPTs and 93 (62%) E. coli BPTs were also unique to individual animal groups. On the basis of these unique Enterococcus BPTs, chickens contributed 14% of contamination, followed by humans (10%), dogs (7%), and horses (6%). For E. coli, humans contributed 13% of contamination, followed by ducks (9%), cattle (7%), and chickens (6%). The developed metabolic fingerprint database was able to distinguish between human and animal sources as well as among animal species in the studied catchment.

Sign in / Sign up

Export Citation Format

Share Document