Comparison of genotypic-based microbial source tracking methods requiring a host origin database

2003 ◽  
Vol 1 (4) ◽  
pp. 167-180 ◽  
Author(s):  
Samuel P. Myoda ◽  
C. Andrew Carson ◽  
Jeffry J. Fuhrmann ◽  
Byoung-Kwon Hahm ◽  
Peter G. Hartel ◽  
...  
Keyword(s):  
Water Samples ◽  
False Positive ◽  
Pattern Analysis ◽  
Repetitive Element ◽  
Microbial Source Tracking ◽  
Pulsed Field Gel Electrophoresis ◽  
Source Tracking ◽  
Fecal Material ◽  
Database Construction ◽  
Host Origin

Microbial source tracking (MST) results, obtained using identical sample sets and pulsed field gel electrophoresis (PFGE), repetitive element PCR (rep-PCR) and ribotyping techniques were compared. These methods were performed by six investigators in analysis of duplicate, blind sets of water samples spiked with feces from five possible sources (sewage, human, dog, cow and seagull). Investigators were provided with samples of the fecal material used to inoculate the water samples for host origin database construction. All methods correctly identified the dominant source in the majority of the samples. Modifications of some of these methods correctly identified the dominant sources in over 90% of the samples; however, false positive rates were as high as 57%. The high false positive rates appeared to be indirectly proportional to the levels of stringency applied in pattern analysis. All the methods produced useful data but the results highlighted the need to modify and optimize these methods in order to minimize sources of error.

scholarly journals Phenotypic library-based microbial source tracking methods: Efficacy in the California collaborative study

2003 ◽  
Vol 1 (4) ◽  
pp. 153-166 ◽  
Author(s):  
Valerie J. Harwood ◽  
Bruce Wiggins ◽  
Charles Hagedorn ◽  
R. D. Ellender ◽  
Jan Gooch ◽  
...  
Keyword(s):  
Antibiotic Resistance ◽  
Water Samples ◽  
False Positive ◽  
Collaborative Study ◽  
Microbial Source Tracking ◽  
Fecal Coliforms ◽  
Source Tracking ◽  
E Coli ◽  
Fecal Streptococci ◽  
Positive Rate

As part of a larger microbial source tracking (MST) study, several laboratories used library-based, phenotypic subtyping techniques to analyse fecal samples from known sources (human, sewage, cattle, dogs and gulls) and blinded water samples that were contaminated with the fecal sources. The methods used included antibiotic resistance analysis (ARA) of fecal streptococci, enterococci, fecal coliforms and E. coli; multiple antibiotic resistance (MAR) and Kirby-Bauer antibiotic susceptibility testing of E. coli; and carbon source utilization for fecal streptococci and E. coli. Libraries comprising phenotypic patterns of indicator bacteria isolated from known fecal sources were used to predict the sources of isolates from water samples that had been seeded with fecal material from the same sources as those used to create the libraries. The accuracy of fecal source identification in the water samples was assessed both with and without a cut-off termed the minimum detectable percentage (MDP). The libraries (∼300 isolates) were not large enough to avoid the artefact of source-independent grouping, but some important conclusions could still be drawn. Use of a MDP decreased the percentage of false-positive source identifications, and had little effect on the high percentage of true-positives in the most accurate libraries. In general, the methods were more prone to false-positive than to false-negative errors. The most accurate method, with a true-positive rate of 100% and a false-positive rate of 39% when analysed with a MDP, was ARA of fecal streptococci. The internal accuracy of the libraries did not correlate with the accuracy of source prediction in water samples, showing that one should not rely solely on parameters such as the average rate of correct classification of a library to indicate its predictive capabilities.

scholarly journals Evaluation of Two Library-Independent Microbial Source Tracking Methods To Identify Sources of Fecal Contamination in French Estuaries

2007 ◽  
Vol 73 (15) ◽  
pp. 4857-4866 ◽  
Author(s):  
Michèle Gourmelon ◽  
Marie Paule Caprais ◽  
Raphaël Ségura ◽  
Cécile Le Mennec ◽  
Solen Lozach ◽  
...  
Keyword(s):  
Water Samples ◽  
Fecal Contamination ◽  
Microbial Source Tracking ◽  
Source Tracking ◽  
Rrna Gene ◽  
Specific Marker ◽  
Gene Markers ◽  
High Level ◽  
Bird Feces

ABSTRACT In order to identify the origin of the fecal contamination observed in French estuaries, two library-independent microbial source tracking (MST) methods were selected: (i) Bacteroidales host-specific 16S rRNA gene markers and (ii) F-specific RNA bacteriophage genotyping. The specificity of the Bacteroidales markers was evaluated on human and animal (bovine, pig, sheep, and bird) feces. Two human-specific markers (HF183 and HF134), one ruminant-specific marker (CF193′), and one pig-specific marker (PF163) showed a high level of specificity (>90%). However, the data suggest that the proposed ruminant-specific CF128 marker would be better described as an animal marker, as it was observed in all bovine and sheep feces and 96% of pig feces. F RNA bacteriophages were detected in only 21% of individual fecal samples tested, in 60% of pig slurries, but in all sewage samples. Most detected F RNA bacteriophages were from genotypes II and III in sewage samples and from genotypes I and IV in bovine, pig, and bird feces and from pig slurries. Both MST methods were applied to 28 water samples collected from three watersheds at different times. Classification of water samples as subject to human, animal, or mixed fecal contamination was more frequent when using Bacteroidales markers (82.1% of water samples) than by bacteriophage genotyping (50%). The ability to classify a water sample increased with increasing Escherichia coli or enterococcus concentration. For the samples that could be classified by bacteriophage genotyping, 78% agreed with the classification obtained from Bacteroidales markers.

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.

scholarly journals Microbial source tracking and spatial analysis of E. coli contaminated private well waters in southeastern Ontario

2013 ◽  
Vol 12 (2) ◽  
pp. 348-357 ◽  
Author(s):  
Julia Krolik ◽  
Gerald Evans ◽  
Paul Belanger ◽  
Allison Maier ◽  
Geoffrey Hall ◽  
...  
Keyword(s):  
Rural Communities ◽  
Water Samples ◽  
Human Health Risk ◽  
Primary Source ◽  
Developed Countries ◽  
Microbial Source Tracking ◽  
Source Tracking ◽  
Future Research ◽  
Well Water ◽  
Specific Marker

Private water supplies, which are the primary source of drinking water for rural communities in developed countries, are at risk of becoming fecally contaminated. It is important to identify the source of contamination in order to better understand and address this human health risk. Microbial source tracking methods using human, bovine and general Bacteroidales markers were performed on 716 well water samples from southeastern Ontario, which had previously tested positive for Escherichia coli. The results were then geospatially analyzed in order to elucidate contamination patterns. Markers for human feces were found in nearly half (49%) of all samples tested, and a statistically significant spatial cluster was observed. A quarter of the samples tested positive for only general Bacteroidales markers (25.7%) and relatively few bovine specific marker positives (12.6%) were found. These findings are fundamental to the understanding of pathogen dynamics and risk in the context of drinking well water and will inform future research regarding host-specific pathogens in private well water samples.

scholarly journals Evaluation of Bovine Feces-Associated Microbial Source Tracking Markers and Their Correlations with Fecal Indicators and Zoonotic Pathogens in a Brisbane, Australia, Reservoir

2013 ◽  
Vol 79 (8) ◽  
pp. 2682-2691 ◽  
Author(s):  
W. Ahmed ◽  
T. Sritharan ◽  
A. Palmer ◽  
J. P. S. Sidhu ◽  
S. Toze
Keyword(s):  
Host Specificity ◽  
Water Samples ◽  
Microbial Source Tracking ◽  
Fecal Pollution ◽  
Decay Rates ◽  
Source Tracking ◽  
Content Type ◽  
Zoonotic Pathogens ◽  
Maximum Value ◽  
Bovine Feces

ABSTRACTThis study was aimed at evaluating the host specificity and host sensitivity of two bovine feces-associated bacterial (BacCow-UCD and cowM3) and one viral [bovine adenovirus (B-AVs)] microbial source tracking (MST) markers by screening 130 fecal and wastewater samples from 10 target and nontarget host groups in southeast Queensland, Australia. In addition, 36 water samples were collected from a reservoir and tested for the occurrence of all three bovine feces-associated markers along with fecal indicator bacteria (FIB),Campylobacterspp.,Escherichia coliO157, andSalmonellaspp. The overall host specificity values of the BacCow-UCD, cowM3, and B-AVs markers to differentiate between bovine and other nontarget host groups were 0.66, 0.88, and 1.00, respectively (maximum value of 1.00). The overall host sensitivity values of these markers, however, in composite bovine wastewater and individual bovine fecal DNA samples were 0.93, 0.90, and 0.60, respectively (maximum value of 1.00). Among the 36 water samples tested, 56%, 22%, and 6% samples were PCR positive for the BacCow-UCD, cowM3, and B-AVs markers, respectively. Among the 36 samples tested, 50% and 14% samples were PCR positive for theCampylobacter16S rRNA andE. coliO157rfbEgenes, respectively. Based on the results, we recommend that multiple bovine feces-associated markers be used if possible for bovine fecal pollution tracking. Nonetheless, the presence of the multiple bovine feces-associated markers along with the presence of potential zoonotic pathogens indicates bovine fecal pollution in the reservoir water samples. Further research is required to understand the decay rates of these markers in relation to FIB and zoonotic pathogens.

scholarly journals Synergistic Application of Molecular Markers and Community-Based Microbial Source Tracking Methods for Identification of Fecal Pollution in River Water During Dry and Wet Seasons

2021 ◽  
Vol 12 ◽  
Author(s):  
Hongxia Liang ◽  
Zhisheng Yu ◽  
Bobo Wang ◽  
Fabrice Ndayisenga ◽  
Ruyin Liu ◽  
...  
Keyword(s):  
Molecular Markers ◽  
Water Samples ◽  
Fecal Contamination ◽  
Microbial Source Tracking ◽  
Fecal Pollution ◽  
Small Sample ◽  
16S Rrna Genes ◽  
Rrna Genes ◽  
Source Tracking ◽  
Community Based

It is important to track fecal sources from humans and animals that negatively influence the water quality of rural rivers and human health. In this study, microbial source tracking (MST) methods using molecular markers and the community-based FEAST (fast expectation–maximization microbial source tracking) program were synergistically applied to distinguish the fecal contributions of multiple sources in a rural river located in Beijing, China. The performance of eight markers were evaluated using 133 fecal samples based on real-time quantitative (qPCR) technique. Among them, six markers, including universal (BacUni), human-associated (HF183-1 and BacH), swine-associated (Pig-2-Bac), ruminant-associated (Rum-2-Bac), and avian-associated (AV4143) markers, performed well in the study. A total of 96 water samples from the river and outfalls showed a coordinated composition of fecal pollution, which revealed that outfall water might be a potential input of the Fsq River. In the FEAST program, bacterial 16S rRNA genes of 58 fecal and 12 water samples were sequenced to build the “source” library and “sink,” respectively. The relative contribution (<4.01% of sequence reads) of each source (i.e., human, swine, bovine, or sheep) was calculated based on simultaneous screening of the operational taxonomic units (OTUs) of sources and sinks, which indicated that community-based MST methods could be promising tools for identifying fecal sources from a more comprehensive perspective. Results of the qPCR assays indicated that fecal contamination from human was dominant during dry weather and that fecal sources from swine and ruminant were more prevalent in samples during the wet season than in those during the dry season, which were consistent with the findings predicted by the FEAST program using a very small sample size. Information from the study could be valuable for the development of improved regulation policies to reduce the levels of fecal contamination in rural rivers.

scholarly journals Application of library-independent microbial source tracking methods for identifying the sources of faecal contamination in coastal areas

2010 ◽  
Vol 61 (6) ◽  
pp. 1401-1409 ◽  
Author(s):  
M. Gourmelon ◽  
M. P. Caprais ◽  
C. Le Mennec ◽  
S. Mieszkin ◽  
C. Ponthoreau ◽  
...  
Keyword(s):  
Water Samples ◽  
Microbial Source Tracking ◽  
Coastal Areas ◽  
Source Tracking ◽  
Rrna Gene ◽  
Multiple Sources ◽  
Gene Markers ◽  
Faecal Contamination ◽  
Water Courses ◽  
Specific Bacteriophage

Faecal contamination sources were identified in coastal areas around the Guerande-Atlantique peninsula using two microbial source tracking (MST) methods: (i) Bacteroidales host-specific 16S rRNA gene markers measured by real-time PCR and (ii) F-specific bacteriophage (FRNAPH) genotyping. Both methods were used on 63 water samples from 7 water courses. HF183 marker and bacteriophage genogroup II (FRNAPH II) were detected in all water samples and in the majority of water samples, respectively, from La Torre stream (W5), Piriac (W2), R2000 (W3) and Mazy (W7) rain water drains, and also detected, less frequently, in Le Nau drain (W4), suggesting contamination by human faecal sources at these sites. These human markers were weakly detected in Pouliguen channel (W6). Furthermore, BacR and bacteriophage genogroup I (FRNAPH I) were also detected, but at lower concentration and frequency. So, site W6 seems to be contaminated by multiple sources, though mainly human. Finally, BacR was detected twice in Pont d'Armes channel (W1), whereas HF183 was not detected. FRNAPH I and II were detected in only 3 out of 12 water samples. Site W1 seems mainly contaminated by animal sources. As a result of our findings, actions were taken to remediate water and shellfish quality.

scholarly journals The Use of Ribosomal RNA as a Microbial Source Tracking Target Highlights the Assay Host-Specificity Requirement in Water Quality Assessments

2021 ◽  
Vol 12 ◽  
Author(s):  
Annastiina Rytkönen ◽  
Ananda Tiwari ◽  
Anna-Maria Hokajärvi ◽  
Sari Uusheimo ◽  
Asko Vepsäläinen ◽  
...  
Keyword(s):  
Surface Water ◽  
Ribosomal Rna ◽  
Water Samples ◽  
Fecal Contamination ◽  
Microbial Source Tracking ◽  
Municipal Sewage ◽  
Source Tracking ◽  
Fecal Samples ◽  
Dna Template ◽  
Surface Water Samples

For microbial source tracking (MST), the 16S ribosomal RNA genes (rDNA) of host-specific bacteria and mitochondrial DNA (mtDNA) of animal species, known to cause fecal contamination of water, have been commonly used as molecular targets. However, low levels of contamination might remain undetected by using these DNA-based qPCR assays. The high copy numbers of ribosomal RNA (rRNA) could offer a solution for such applications of MST. This study compared the performance of eight MST assays: GenBac3 (general Bacteroidales), HF183 (human), BacCan (dog), Rum-2-Bac (ruminant), Pig-2-Bac (swine), Gull4 (gull), GFD, and Av4143 (birds) between rRNA-based and rDNA-based approaches. Three mtDNA-based approaches were tested: DogND5, SheepCytB, and HorseCytB. A total of 151 animal fecal samples and eight municipal sewage samples from four regions of Finland were collected for the marker evaluation. The usability of these markers was tested by using a total of 95 surface water samples with an unknown pollution load. Overall, the performance (specificity, sensitivity, and accuracy) of mtDNA-based assays was excellent (95–100%), but these markers were very seldom detected from the tested surface water samples. The rRNA template increased the sensitivity of assays in comparison to the rDNA template. All rRNA-based assays (except Av4143) had more than 80% sensitivity. In contrast, only half (HF183, Rum-2-Bac, Pig-2-Bac, and Gull4) of rDNA-based assays reached this value. For markers targeted to bird feces, the use of the rRNA-based assay increased or at least did not change the performance. Regarding specificity, all the assays had >95% specificity with a DNA template, except the BacCan assay (71%). While using the RNA template for the assays, HF183 and BacCan exhibited only a low level of specificity (54 and 55%, respectively). Further, the HF183 assay amplified from multiple non-targeted animal fecal samples with the RNA template and the marker showed cross-amplification with the DNA template as well. This study recommends using the rRNA-based approach for MST assays targeting bird fecal contamination. In the case of mammal-specific MST assays, the use of the rRNA template increases the sensitivity but may reduce the specificity and accuracy of the assay. The finding of increased sensitivity calls for a further need to develop better rRNA-based approaches to reach the required assay performance.

Repetitive element (REP)-polymerase chain reaction (PCR) analysis of Escherichia coli isolates from recreational waters of southeastern Lake Huron

2009 ◽  
Vol 55 (3) ◽  
pp. 269-276 ◽  
Author(s):  
Tanya Kon ◽  
Susan C. Weir ◽  
E. Todd Howell ◽  
Hung Lee ◽  
Jack T. Trevors
Keyword(s):  
Escherichia Coli ◽  
Repetitive Element ◽  
Microbial Source Tracking ◽  
Lake Huron ◽  
Source Tracking ◽  
Chain Reaction ◽  
Recreational Waters ◽  
E Coli ◽  
Potential Sources ◽  
Polymerase Chain

Repetitive element-polymerase chain reaction (REP-PCR) DNA fingerprinting and library-based microbial source tracking (MST) methods were utilized to investigate the potential sources of Escherichia coli pollution in recreational waters of southeastern Lake Huron. In addition to traditional sources such as humans, agriculture, and wildlife, environmentally persistent E. coli isolates were included in the identification library as a separate library unit consisting of the E. coli strains isolated from interstitial water on the beach itself. Our results demonstrated that the dominant source of E. coli pollution of the lake was agriculture, followed by environmentally adapted E. coli strains, wildlife, and then humans. A similar ratio of contributing sources was observed in all samples collected from various locations including the river discharging to the beach in both 2005 and 2006. The high similarity between the compositions of E. coli communities collected simultaneously in the river and in the lake suggests that tributaries were the major overall sources of E. coli to the lake. Our findings also suggest that environmentally adapted strains (EAS) of E. coli should be included as one of the potential sources in future microbial source tracking efforts.

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