Source: MARSHALL UNIVERSITY RESEARCH CORPORATION submitted to NRP
WATER POLLUTANTS, WV PROJECT AT MARSHALL UNIVERSITY
Sponsoring Institution
National Institute of Food and Agriculture
Project Status
COMPLETE
Funding Source
Reporting Frequency
Annual
Accession No.
0214603
Grant No.
2008-38885-19242
Cumulative Award Amt.
$383,862.00
Proposal No.
2008-03431
Multistate No.
(N/A)
Project Start Date
Sep 1, 2008
Project End Date
Aug 31, 2010
Grant Year
2008
Program Code
[UL]- Water Pollutants, WV
Recipient Organization
MARSHALL UNIVERSITY RESEARCH CORPORATION
401 11TH STREET, SUITE 1400
Huntington,WV 25701-2225
Performing Department
(N/A)
Non Technical Summary
Chronically levels of waterborne fecal pollution continue to play a major role in increasing human health risk and economic distress associated with beach and fishery closings. While traditional counting of bacteria in freshwater samples may be helpful in alerting the user that fecal contamination and its associated increased health risk may be present, bacterial counts do not identify the source of such contamination. Without awareness of the human, wildlife or domesticated animal source of the pollution, remediation efforts may either be stymied or directed toward removing an incorrect source. It is therefore feasible that a serious health risk could go unresolved or a significant private and public investment made without solving the problem. Our progress continues toward validating the E. coli NotI PFGE Bacterial Source Tracking (BST) method for use in characterizing fecal pollution as human vs nonhuman (2-way analysis) and/or human vs wildlife vs domestic animal (3-way analysis). Based on E. coli-based NotI PFGE BST proficiency test studies, composite or multi-region databases consistently outperform home databases even when individual testing regions which make up the database are unrelated or contain only a minor component of regional samples. This is a promising finding as, on the contrary, several reports suggest that library-based methods are costly, labor-intense, and unreliable. However, should a sufficiently large collection of appropriate diversity be achievable for BST, the need to develop individual BST libraries would be negated and passed on as a cost-savings to the user of this method. The focus of this proposal is 1) to continue the BST studies toward validation of the E. coli NotI PFGE method, 2) to utilize short-range, high-throughput sequencing of target polymorphic regions of source-know isolates to identify single nucleotide polymorphisms (SNPs) or signature sequences specific to source determination, and 3) to evaluate two RT-PCR procedures, one developed in our laboratory, for the purposes of designing a procedure whereby E. coli and E. coli O157:H7 can be detected and quantified in a single, closed-tube system from raw water samples.
Animal Health Component
50%
Research Effort Categories
Basic
25%
Applied
50%
Developmental
25%
Classification

Knowledge Area (KA)Subject of Investigation (SOI)Field of Science (FOS)Percent
1334010104050%
1334010106025%
1334010110025%
Goals / Objectives
1) Do aging BST databases maintain their ability to match environmental E. coli isolates? Method-specific guidance is needed to predict the rate at which environmental drift occurs and its effect on database stability over time. The ultimate goal of library-based BST is to reliably and efficiently match E. coli isolates to make source-calls, freshly collected water isolates will be challenged to find a match in databases of varying age and composition. 2) Do E. coli undergo genetic changes with varying host conditions? It is currently not known to what extent mutations occur based on changing environmental conditions for various BST methods. BST methods have been criticized for failing to account for drift in microbial populations when E. coli leaves the host and enters the environment or changes hosts. A controlled study is proposed utilizing C. elegans as an experimental host allowing us an opportunity to study the degree to which known-PFGE-profiles vary with changing host conditions. 3) Do NotI PFGE E. coli genetic profiles undergo seasonal changes? Studies will be performed to determine the extent to which seasonal or temporal changes occur in the NotI PFGE databases, a limited study of individual animals living in different climates will be tested for determine if NotI PFGE E. coli profiles change throughout the year. 4) Can C. elegans serve as an indicator of waterborne pathogen presence? Bacterial indicator organisms have been used in the drinking water industry for a century to signal the possible presence of human pathogens although a significant number outbreaks are still reported annually, some of unknown etiologic origin, with substantial numbers of occurrences going unrecognized or unreported. Studies will be conducted to evaluate the use of C. elegans to evaluate enteric pathogen, as well as concentrated raw water sample, pathogenicity. 5) Can C. elegans serve as a STEC screening method? Studies will be performed to test a variety of STEC in the C. elegans test system. Development of a rapid virulence screening method using C. elegans will allow us to catalogue the vast collection of human-source STEC that we currently have in our NotI PFGE repository and report such findings associated with their serological characteristics. 6) What is the potential health risk of E. coli isolated from the feces of various host sources? A variety of known-host-source fecal E. coli isolates will be tested for virulence using the C. elegans test system by evaluating time of death of the host as compared to the control. Strains of known-host-source fecal E. coli in our repository will be catalogued using a virulence factor rating system that will enhance our capability of providing a direct link to potential health risk when such isolates match to a particular NotI PFGE profile currently in our database. 7) Can a quantitative PCR method replace traditional culture in estimating bacterial loads? Studies will be conducted to evaluate a STEC real-time PCR procedure suitable for testing environmental sources as well as E. coli in general.
Project Methods
1)Do aging BST databases maintain their environmental matching efficiency? In this study, fresh water samples will be collected and E. coli isolated from each sample. Each isolate will be tested using our standardized NotI PFGE BST procedure and challenged to determine if a match can be found in the database. In this way, we will determine the matching efficiency of aging PFGE BST databases. Isolates will be tested per sample and challenged for matching efficiency to the database. Testing will be performed in two waterways in West Virginia. Spent-water filters will be submitted to our laboratory for source tracking using the NotI PFGE procedure. 2)Do domestic-source E. coli genetic profiles undergo seasonal changes? Horses residing in a temperate climate and those residing in a less-temperate climate will be studied. Each animal will receive the same feed and care. Samples will be taken monthly and NotI PFGE analysis performed. 3)Do E. coli undergo genetic changes in a different host? Environmental strains of E. coli will be fed to C. elegans and monitored over time to determine if ingestion by the nematode results in detectable E.coli mutation as determined by NotI PFGE analysis. 4) Can C. elegans serve as a pathogenic E. coli screening method? Studies will be performed on STEC using the C. elegans test system developed in our laboratory.C. elegans will be placed on pathogen lawns to initiate infection. Worms will be monitored daily to determine time of death as compared to the control. 5) What is the prevalence of pathogenic E. coli among host sources? A variety of known-host-source environmental isolates will be tested for pathogenicity using the C. elegans test system by determining the time of death. Know-host-source environmental isolates from human, wildlife and domesticated host species will be tested. C. elegans will be placed on lawns of known-host-source E. coli to initiate feeding. Worms will be monitored daily to determine if killing occurs more readily as compared to the control. Virulence ratings will be linked to PFGE isolates in the BioNumerics database. 6) Can a quantitative PCR method replace traditional culture in estimating bacterial loads and detecting Shiga-toxin E. coli from raw water samples? Work will continue to standardize a qPCR procedure for estimating E. coli bacterial loads in fresh water samples. Challenges to our progress have been a) removal of naturally-occurring PCR inhibitors from water samples, b) standardization of concentration procedures and c) reproducibility of the qPCR procedure. The study will make use of tangential flow filtration to separate bacteria from potential PCR inhibitors to assist in standardizing this procedure. Once optimized, spiked water sample culture-based enumeration will be used for comparisons. A multiplex real-time PCR method will be utilized or developed.

Progress 09/01/08 to 08/31/09

Outputs
OUTPUTS: Escherichia coli (E. coli) is a normal component of human, domesticated animal, and wildlife feces so when found in drinking and natural water supplies, E. coli has been used historically to indicate that human pathogens may also be present and serving as a primary indicator of fecal contamination of a water source. Although most E. coli are considered to be harmless, continued food- and beverage-related disease outbreaks involving pathogenic, or disease-causing, E. coli continue to be reported. This project focused on linkage of E. coli pathogens to environmental isolates held in our in-house databases derived from humans as well as domesticated animals (chickens, cows, dogs, horses, goats, pigs, and sheep) and wildlife (deer, raccoons, and geese). Eighteen (18) E. coli NotI pulsed-field gel electrophoresis (PFGE) databases including single-region collections from West Virginia, Ohio, and Iowa as well as combinations of single-region databases were challenged with 51 Shiga-toxin producing E. coli (STEC) isolates from human cases of disease to determine matching efficiency to these databases. Each isolate was previously serologically typed where 26 of 76 were determined to be O antigen 157 and 23 determined to be O157: H7. All 51 isolates were tested to confirm their identity as E. coli against a battery of biochemical substrates. Strong lactose fermentation, or the lack thereof, and reaction to a modified Colilert solution were noted. Finally, each pathogen was tested using an in-house method to demonstrate if signs of virulence, moderate virulence and a high degree of virulence could be determined when tested with the worm, Caenorhabditis elegans (C. elegans). NotI PFGE was performed on all STEC isolates and challenged to find the closest match in a database held in our laboratory consisting of 14,900 E.coli from chickens (n=1569), cow (n=2398), deer (n=2230), dog (n=382), goat (n=161), goose (n=1888), horse (n=368), human (n=1819), pig (n=2110), raccoon (n=1578), and sheep (n=397). These E. coli that make up this database are from known sources that were derived from defined regions of West Virginia, Ohio, and Iowa. Several graduate students contributed to these studies and will enter their respective professional careers with a greater appreciation of research and our goal of developing techniques which will serve to protect the environment as well as human and animal health and well-being. PARTICIPANTS: PI's on this project included Dr. Pamela Staton, Dr. Hongwei Yu, and Dr. Terry Fenger. Research technicians included Jennifer Ross-Wilkinson, Conan Goolsby, Tara Fry, and Megan Bartley. Graduate students included Amanda Hoffman, Dishari Mukherjee, and Stephanie Johnson. All received IRB training in the protection of human subjects as well as training in specialized techniques pertinent to the project and safety. TARGET AUDIENCES: Our target audiences include the environmental sciences, agriculture community, microbiology, community awareness groups, high school students, and other audiences with an interest in environment, human and animal protection. PROJECT MODIFICATIONS: Nothing significant to report during this reporting period.

Impacts
Thirty-five of 51 or 69% were not strong lactose fermenters and therefore did not demonstrate a green metallic sheen on eosin methylene blue (EMB) agar when incubated at 35 degrees C for 18 to 24 hours. This demonstrates that use of colony appearance on EMB agar as a screening method for E. coli will result in under-representation of some strains of E. coli. Thirteen of 51 or 25% produced a negative modified Colilert result suggesting that some E. coli in our environmental testing were missed and therefore not included in the databases. It would be beneficial to go back to the original samples to determine the degree to which Shiga toxin-producing E. coli could be isolated. While this would improve our technical knowledge, it would also serve to demonstrate the degree to which this pathogen is present in the environment. While it may be beneficial to pursue this, these future studies were not the focus of this particular study. Nevertheless, taken together, use of a specialized medium for isolating pathogenic E. coli should be included in our screening procedures. In addition, application of the C. elegans pathogen screening method revealed eight of 51 pathogens tested that showed highly virulent results, with 19 pathogens demonstrating moderately virulent results and 24 showing no affect on the worm. We believe these results are promising for the C. elegans pathogen screening method. Our goal is that all STEC would show some degree of virulence with respect to worm behavior. Currently, 53% of all isolates tested demonstrated some degree of virulence using this assay. We are currently in the developmental validation phase of this procedure wherein further optimization may be possible. Plans for optimizing this procedure include modification of pathogen placement on agar plates and optimization of the number of worms applied and evaluated. Evaluation of increased incubation temperature at various stages of the procedure as well as agar modifications for better visualization of worm behavior is also planned. As this method is inexpensive to perform, we believe it shows promise for screening environmental water samples for pathogens without the labor intense and costly testing for multiple pathogens which is often beyond the scope of environmental water testing facilities. Additionally, NotI PFGE was performed on each pathogen and challenged to find its best match in a database containing 14,900 E. coli isolates of known source. All pathogens found a best-match in the database with all but 6 finding a similarity match of 80% similarity or greater. Pathogens matched to humans (n=8), domesticated animals (cow n=10; chicken n=4; pig n=5; sheep n=6; horse n=1; goat n=2), and wildlife (raccoon n=5; deer n=3; goose n=7). Such a method of matching pathogens isolated from human disease outbreaks may provide investigative clues when outbreaks of unknown origin occur and should be further evaluated. Once the C. elegans pathogen screening procedure is validated, we will publish our findings through scientific meeting poster presentations and/or publication in a peer-reviewed journal.

Publications

  • No publications reported this period