A comparison of ARA and DNA data for microbial source tracking based on source-classification models developed using classification trees

Price, Bertram; Venso, Elichia A.; Frana, Mark F.; Greenberg, Joshua; Ware, Adam L.

doi:10.1016/j.watres.2007.05.026

Cited by 14 publications

(7 citation statements)

References 22 publications

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“…One such parameter may be the resistance of E. coli to various antibiotics used by humans. The use of antibiotic resistance (AR) patterns to multiple antibiotics is considered an efficient and emerging procedure to characterize anthropogenic sources (Al-Ghazali et al 1988;Wiggins et al 1999;Hagendorn et al 1999;Hardwood et al 2000;Graves et al 2002;Price et al 2007;Edge and Hill 2007).…”

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confidence: 99%

Microbiological Quality and Antibiotic Resistance Analysis of a Brazilian Water Supply Source

Silva

Ramos

Dziedzic

et al. 2010

Water Air Soil Pollut

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Water samples of the Passaúna River, Curitiba/Paraná (Brazil), were analyzed to determine total and thermotolerant coliform counts and Escherichia coli in order to provide information on human impacts on the water supply. Samples were collected and analyzed monthly, from March 2006 to February 2007, at five different locations along the river, and the multiple tube method was used to obtain total and thermotolerant coliform counts. The results varied from 130 MPN/100 mL to 1.6×10 6 MPN/100 mL for total coliforms, while for thermotolerant coliforms the variation was between 40 MPN/100 mL and 5× 10 5 MPN/100 mL. The E. coli strains isolated from the samples were tested with 13 different antibiotics to determine their antibiotic resistance. The isolated strains were constantly sensitive to seven of the 13 antibiotics tested, and resistant to at least one of the other antibiotics. The results indicated that two factors could influence the increased contamination on this river, viz., seasonality parameters and domestic wastewater discharges. The determination of antibiotic resistance indices aimed to provide information on the anthropogenic influence. Only one of the locations investigated was considered critical due to the anthropogenic influence, with significant impacts from irregular domestic wastewater discharges.

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confidence: 99%

Microbiological Quality and Antibiotic Resistance Analysis of a Brazilian Water Supply Source

Silva

Ramos

Dziedzic

et al. 2010

Water Air Soil Pollut

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“…Rule induction employed in CART can be used to find key rules on the basis of interactions between independent and dependent variables 22 , 23 . CART approaches have been used in environmental forecasting research to estimate urban air quality 18 , determine groundwater pollution vulnerability 24 , predict in situ dechlorination potential 25 , predict water quality from wastewater treatment plants 26 , assess microbial source tracking 27 , and predict heavy metal sorption to soil 28 . Therefore, CART and MLR models could support decision-making and effective management of potential urban airborne bacterial hazards during AD events.…”

Section: Introductionmentioning

confidence: 99%

Classification and Regression Tree Approach for Prediction of Potential Hazards of Urban Airborne Bacteria during Asian Dust Events

Yoo

Lee

et al. 2018

Sci Rep

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Despite progress in monitoring and modeling Asian dust (AD) events, real-time public hazard prediction based on biological evidence during AD events remains a challenge. Herein, both a classification and regression tree (CART) and multiple linear regression (MLR) were applied to assess the applicability of prediction for potential urban airborne bacterial hazards during AD events using metagenomic analysis and real-time qPCR. In the present work, Bacillus cereus was screened as a potential pathogenic candidate and positively correlated with PM10 concentration (p < 0.05). Additionally, detection of the bceT gene with qPCR, which codes for an enterotoxin in B. cereus, was significantly increased during AD events (p < 0.05). The CART approach more successfully predicted potential airborne bacterial hazards with a relatively high coefficient of determination (R2) and small bias, with the smallest root mean square error (RMSE) and mean absolute error (MAE) compared to the MLR approach. Regression tree analyses from the CART model showed that the PM10 concentration, from 78.4 µg/m3 to 92.2 µg/m3, is an important atmospheric parameter that significantly affects the potential airborne bacterial hazard during AD events. The results show that the CART approach may be useful to effectively derive a predictive understanding of potential airborne bacterial hazards during AD events and thus has a possible for improving decision-making tools for environmental policies associated with air pollution and public health.

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“…2001; Scott et al. 2004), the use of host‐specific molecular markers (Bernhard and Field 2000a,b), and pulsed‐field gel electrophoresis (PFGE) and biochemical methods including antibiotic resistance analysis (Price et al. 2007; Ahmed et al.…”

Section: Introductionmentioning

confidence: 99%

“…In fact, a strong correlation between high densities of E. coli and enterococci in recreational surface waters and swimming-associated gastrointestinal disease has been reported (Cabelli et al 1982;US Environmental Protection Agency 1986). To improve public health and to ensure safe living conditions in coastal urban areas, in addition to the monitoring of E. coli and enterococci as faecal indicator bacteria (FIBs), microbial source tracking (MST) methods using several molecular methods including repetitive DNA sequencing (Rep-PCR) (Dombek et al 2000;Holloway 2001;McLellan 2004), denaturing-gradient gel electrophoresis coupled with PCR (PCR-DGGE) (Farnleitner et al 2000;Chee-Sanford et al 2001), ribotyping (Parveen et al 1999;Carson et al 2001;Scott et al 2004), the use of host-specific molecular markers (Bernhard and Field 2000a,b), and pulsed-field gel electrophoresis (PFGE) and biochemical methods including antibiotic resistance analysis (Price et al 2007;Ahmed et al 2008), have been developed, particularly in the USA and Europe. However, there is as yet no established protocol for standard tracking.…”

Section: Introductionmentioning

confidence: 99%

Application of PFGE to source tracking of faecal pollution in coastal recreation area: a case study in Aoshima Beach, Japan

Furukawa

Yoshida

Suzuki

2011

Journal of Applied Microbiology

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Aims: The development of a microbial source tracking (MST) method is strongly desired to ensure public health and bacteriological safety in coastal recreation areas. We try to specify the source of faecal pollution by applying pulsed‐field gel electrophoresis (PFGE) to the study of the aquatic environment on Aoshima Beach, Japan. Methods and Results: Enterococcus faecium, an enterococcus, was used as a faecal indicator bacterium in this study. Enterococcus faecium strains were isolated and identified from each water sample collected from Aoshima Beach and five rivers (Oyodo, Kiyotake, Kaeda, Chifuku and Tsukunami Rivers) that might be potential sources of faecal pollution. Enterococcus faecium strains collected from water samples were analysed using PFGE. The similarities of all the PFGE types of the Ent. faecium strains were compared using dendrogram analysis. The PFGE types of the strains isolated from Aoshima Beach showed a high similarity to those of the strains isolated from the Oyodo River at a 0·9 similarity level. It was suggested that the Oyodo River is the source of faecal pollution on Aoshima Beach. Conclusions: The PFGE analysis using enterococci is a potential tool for the MST of faecal indicator bacteria that can be applied to the study of the coastal environment. Significance and Impact of the Study: This is one of the studies that PFGE was applied to the coastal environment. The approach using PFGE could estimate the river that is source of faecal pollution in Aoshima Beach. By applying PFGE as a tool of MST method, detailed information of faecal pollution in coastal area can be provided.

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A comparison of ARA and DNA data for microbial source tracking based on source-classification models developed using classification trees

Cited by 14 publications

References 22 publications

Microbiological Quality and Antibiotic Resistance Analysis of a Brazilian Water Supply Source

Microbiological Quality and Antibiotic Resistance Analysis of a Brazilian Water Supply Source

Classification and Regression Tree Approach for Prediction of Potential Hazards of Urban Airborne Bacteria during Asian Dust Events

Application of PFGE to source tracking of faecal pollution in coastal recreation area: a case study in Aoshima Beach, Japan

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