Biology Program, FDEP Laboratory Evaluation of PMA-qPCR for Quantitative Differentiation of Live Human-associated Bacteroidales for Water Quality Monitoring.

Slides:



Advertisements
Similar presentations
Most Probable Number (MPN)
Advertisements

Patricia Weiss 1, Tiong Gim Aw 2, Joan B. Rose 2 1 School of Public Health, College of Human Medicine, Michigan State University, East Lansing, Michigan,
Anicet R. Blanch Department of Microbiology Microbiología del Agua Relacionada con la Salud (MARS) Intérêts et limites des traceurs de sources microbiennes.
Physical and Microbiological Analyses of a Shallow Wastewater Treatment Outfall Effluent Plume in a Lagrangian Frame P. Holden 1, C. Ohlmann 1, L. Washburn.
Module 6 Effluent Monitoring and Receiving Water Monitoring.
Parker Water & Sanitation District Frank Jaeger, District Manager James Roche, Superintendent.
The MOBI Aerator in the Stockton Deep Water Ship Channel Gary M. Litton Russ Brown Marshall Haueter Stephanie Kong Nitrification in the San Joaquin River.
RESULTS With increasing amounts of Novobiocin there was an obvious decrease in survival of colony forming units of bacteria (Fig. 8). Triclosan was more.
December 2012 Analysis of Drinking Water Using LIBS Applied Research Associates, Inc. Proprietary Information.
Edward C. Craig, Ph.D.* Cary B. Jackson, Ph.D. Christopher P. Fair
Improving monitoring campaigns : A case study Dissemination Workshop on Evaluating Source Control Options for Reducing Emissions of Priority Pollutants.
Detecting Mutagens and Carcinogens. introduction - Increased number of chemicals used and present as environmental contaminats, testes for the mutagenicity.
Laboratory Analysis: Samples were analyzed for: Dissolved Organic Nitrogen (DON) Dissolved Inorganic Nitrogen (NH 4 and NO 3 ) Total Dissolved Nitrogen.
Introduction to Lab Ex. 20: Enumeration of Bacteria - Most Probable Number method Membrane Filter method.
Marilyn Murphy, David Plavcan, William Shepard, Donna Suevo, Jeff Thomas, Karen Trozzo, Timothy Woods and David Yezuita West Chester University July 2002.
Bacterial Abundance Objective Measure bacterial numbers and mass per unit volume. Note, we are not concerned with identification here. Why do we want to.
Tricia Coakley 1, Gail Brion 2, and Alan Fryar 1 University of Kentucky 1 Department of Earth and Environmental Sciences, 101 Slone Building Lexington,
Counting Bacteria Filename: CelCount.ppt Hugh B. Fackrell.
Wastewater Treatment Plants & Bacteria Strategies for Compliance Best Practices for Effluent Sampling TANNY BUSBY & LAURA BONJONIA ENVIRODYNE LABORATORIES,
Applied Environmental Microbiology 43 Copyright © McGraw-Hill Global Education Holdings, LLC. Permission required for reproduction or display.
Hillsborough River Fecal Coliform BMAP Process Oct. 22, 2008.
Rapid detection of pathogenic bacteria in surface water by bacteria universal primer The increase of urban population often results in higher percentage.
Overview of the presentation 1.The LiMA technology 2.Sensitivity for ligase detection 3.Sensitivity for bacterial detection.
 State freshwater fecal coliform criteria  KCEL - Microbial Source Tracking (MST) ‘tool kit’  Summary of findings for Juanita Phase II and Phase III.
How to Select a Test Method Marlene Moore Advanced Systems, Inc. June 15, 2010.
Validating the Micro PRO™ Technology. Overview of Today’s Presentation Validation Resources Micro PRO™ Applications and Corresponding Validation Parameters.
Toxics Management Plans Ecology Review Principles.
Bacterial Growth l Introduction –Population vs. Cellular Growth –Exponential vs. Arithmetic Growth –Bacterial Growth - Binary Fission.
OHHI Beach Modeling Group Meeting March 23, 2006 GLERL, Ann Arbor, MI Project Summary Project Title: Predicting Pathogen Fate in the Great Lakes Coastal.
Richard A. Haugland USEPA, Office of Research and Development, National Exposure Research Laboratory Presented at ORD Produce Expo for Region 5, October.
Representative Sampling. Samples vs. Populations The population is the total or all of the possible answers we might get by sampling. All of the individuals.
Richard A. Haugland USEPA, Office of Research and Development, National Exposure Research Laboratory Presented at ORD Product Expo for Region 9, February.
INNOVATIVE INTEGRATED METHODOLOGY FOR THE USE OF DECONTAMINATED RIVER SEDIMENTS IN ROAD CONSTRUCTION Progress Meeting September 10 th 2015 Prof. Ing. Massimo.
Microbial Survivorship in River Water John Crelli Grade 10 Pittsburgh Central Catholic High School.
Bacteria Source Tracking on Little River in Westfield, MA Michael Fant, Jean-Baptiste Bangoret, and Tim Grady Abstract The quality of public waterways.
2.4 Biological Parameters Micro-organisms that bring diseases are called “PATHOGEN”. Their quantities are very small compared to other micro-organisms.
Lab 20 Goals and Objectives: Exercise 58: Bacterial Counts on Foods
Chowan River TMDL Development and Source Assessment Tidewater Area October 20, 2004.
Charge Question 3-1 Comment Summary for HHCB Peer Review Panel Meeting January 9, 2014.
DNA BIOSENSORS Hybridization indicator (bacteria , virus , genetic inherited diseases) Trace measurements of pollutants (intercalators,
STREAM MONITORING CASE STUDY. Agenda  Monitoring Requirements  TMDL Requirements  OCEA Initial Monitoring Program  Selection of Parameters  Data.
CHM 410/1410 Lecture 2 Environmental Sampling. Environmental sampling Two things to consider: 1.Size of the samples required 2.Number of samples required.
Enumeration (determine the numbers of bacteria in a sample) Direct Measurement of Microbial Growth  Microscopic count - the microbes in a measured volume.
Organisms indicating sewage pollution:
Growth of Bacterial Culture
Microthrix parvicella foam control using a rapid method for assessing chlorine effect in activated sludge Ramírez G.W.*, Alonso J. L.*, Basiero J.A.**,
Mechanisms to Bring Genomic Tools to Address Regional Issues. James M. Lazorchak ORD/NERL/EERD/MIRB.
Sources, Transport, Fate Treatment Methodologies BMP Case Studies
Types of DNA found in the environment:
PETRIFILMTM PLATES flat dehydrated media on a sheet which forms a rehydrated gel when 1 ml ( or other volume as directed)
Dr. Alice Ortmann University of South Alabama Dauphin Island Sea Lab
Micro CSI: A Microbial Citizen Science Initiative in Urban Watersheds
Environmental Analysis Workshop
WASTEWATER CHLORINATION DECHLORINATION MONITORING AND CONTROL PILOT DEMONSTRATION AT CLARKSON AND CITY OF GUELPH ONTARIO WWTPs Wei Zhang1, Jeremy Leverence1,
Microbial Survivorship in River Water
How Do Wastewater Facilities Address Contaminants in Water
Bacterial Source Tracking
Sanitary Sewer Overflow Consent Decree Water Quality Monitoring
Increase in number of cells, not cell size Populations Colonies
Division of Aquaculture
EPA Method Equivalency
Growth of bacteria Dr. Sahar Mahdi.
Multi-Laboratory Validation of Methods
Composition of Domestic Wastewater
Regula Meierhofer Pascal Rubli Jared Oremo Aloyce Odhiambo
Evaluation of Tracers of Fecal Pollution in Drinking Water Distribution Systems Walter Q. Betancourt and Minkyu Park Water and Energy Sustainable Technology.
Microbial Survivorship in River Water
Potential Environmental Impact of Liquids
Copepod. Copepod Pathogens are not prevalent in these populations Natural limitations, such as predation, make it difficult to sample epizootics.
Sphingosine-1-Phosphate and Its Potentially Paradoxical Effects on Critical Parameters of Cutaneous Wound Healing  Rüdiger Vogler, Bettina Sauer, Dong-Seok.
Presentation transcript:

Biology Program, FDEP Laboratory Evaluation of PMA-qPCR for Quantitative Differentiation of Live Human-associated Bacteroidales for Water Quality Monitoring Puja Jasrotia, Daisys Matthews, Loretta Wolfe and David Whiting May 18, 2016

Outline Microbial Source Tracking (MST) toolbox approach Study objectives Lab standardization Field testing Summary Future directions 5/18/20162

MST Toolbox Approach 5/18/2016 3

Study objectives Validate and incorporate new tools for microbial source identification for water quality monitoring Examine the suitability of the Propidium Monoazide (PMA) method and incorporate it into FDEP Laboratory’s current molecular source markers 5/18/20164

Propidium Monoazide Treatment PMA is a photo reactive dye. Amplifies only intact cells in qPCR (live vs. dead) Intercalates with dsDNA in membrane compromised dead cells Forms stable covalent bond upon photolysis Detection by qPCR will not amplify PMA modified DNA, hence permitting selective detection of live cells Potential to distinguish between recent and past fecal contamination 5/18/20165 Source: PMA TM mechanism of action (PMA TM product information;

5/18/ Grow B. dorei Analyze results Check viability Lab standardization (B.dorei pure culture) PMA con (mM) Heat killing temp ( 0 C) Heat killing time (min) PMA incubation (min) Light exposure (min) 50, 75, 10072, 80, 8510, 15, 205, 10, 2010, 15, 20 Treatment Parameters Tested Spike PBS with B. dorei Filter sample B. Heat killed A. Live DNA extraction and qPCR +/- PMA treatment C. 1:1 mix of live and heat killed cells

Lab standardization (B.dorei pure culture) 5/18/20167 qPCR (total DNA) - similar recovery across treatments PMA-qPCR - ~3 log decrease in heat killed Heat-killed cells had a 13 Ct difference with PMA

Field testing Wastewater treatment plant (WWTP) 5/18/20168 WWTP Influent/ Effluent Dilute with PBS Filter 100 mL sample B. Heat killed A. Live DNA extraction and qPCR +/- PMA treatment C. 1:1 mix of live and heat killed cells

Field testing (WWTP influent) 5/18/20169 Influent results similar to B.dorei culture results No DNA recovery in effluent

Field testing (WWTP Influent) 5/18/ WWTP Influent Dilute with PBS Filter 100 mL sample DNA extraction and qPCR +/- PMA treatment Hold time (0,24,30,48 hr)

Field testing (Holding time – WWTP influent) 5/18/ Influent stored in refrigerator and diluted at each time interval Average ΔCt increases with hold time, demonstrating loss of viability over time

Field testing Surface water urban creeks near St. Johns River, Jacksonville, Florida Hogan creek (sites A2 and A3) Miller creek Verified impaired for fecal coliform Sampling: January 12, 2016 Parameters: qPCR – HF183 Micro – E.coli, Enterococci Chemical – Sucralose, Acetaminophen 5/18/201612

Results 5/18/ High Acetaminophen – potential untreated wastewater source High Sucralose – potential wastewater source High E.coli and Enterococci MPNs – potential fecal pollution Low level detect with HF183 marker Sampling sites Acetaminophen (ug/L) Sucralose (ug/L) E.coli (MPN/100 ml) Entero (MPN/100 mL) HF183-Bacteroidales Without PMAWith PMA ΔCt CtQTY (GEU/100ml)Ct QTY (GEU/100 ml) A2 Hogan Creek from Culvert A3 Hogan Creek from open ditch (U) No detect Miller Shumacher Ave (U) No detect

Summary PMA-qPCR is an effective method to distinguish live from membrane-compromised cells Promising results from this study: Determined appropriate conditions for using PMA-qPCR on bacterial cultures and applied them to field samples Consistent results in culture and wastewater samples Impaired environmental water samples showed low levels of detection of HF183 after PMA treatment 5/18/201614

Future directions Additional sampling needed to characterize use of PMA in MST studies and water quality monitoring Statistical analyses of data and relation to fecal indicators Development and validation of PMA-qPCR with additional MST markers 5/18/201615

Contact Information Puja Jasrotia, PhD Environmental Consultant, Biology Program (850) Contact Information Puja Jasrotia, PhD Environmental Consultant, Biology Program (850) /18/ Questions?