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Richard A. Haugland
USEPA, Office of Research and Development,
National Exposure Research Laboratory
Presented at ORD Produce Expo for Region 5,
October 6, 2004
Using Today’s Data to
Close the Beach Today.
Quantitative Polymerase
Chain Reaction (QPCR)
rapid beach closings tool.
1
Principles of QPCR Analysis
How Does Quantitative
PCR Analysis Work?
2
- PCR is now a widely used
laboratory method for detecting
specific DNA (or RNA) sequences
that can originate from specific
organisms, e.g. fecal indicator
bacteria
- It does this by making copies of
these sequences (amplification) in
large enough numbers (e.g.
Millions) to allow their detection -
usually after the amplification is
completed.
- Quantitative PCR (QPCR) differs
from conventional PCR by
detecting these copies with a
fluorescent probe directly in the
instrument as the reaction
proceeds - for this reason it is also
often called real time PCR.
3
TaqManTM Sequence Detection
System
- Several types of chemistries have been
developed for this direct detection of PCR-
copied sequences. One of the most
popular is the TaqManTM system illustrated
here.
- In the TaqManTM system, as each new
copy of the target sequence is made –
a hybridization probe which binds to the
sequence is simultaneously hydrolyzed by
the polymerase enzyme
- This causes two fluorescent dyes at
either end of the probe to become
separated and eliminates the Q dye
quenching effect on the fluorescence of
the reporter or R dye.
- For each new copy of the sequence that
is made, the fluorescence of one reporter
dye molecule becomes detectable by the
instrument.
4
QPCR Growth Curves
10 ng DNA
1 ng DNA
100 pg DNA 10 pg DNA
1 pg DNA
no DNA
* * * * *
*Cycle Threshold: Cycle # at which growth
curve = 30 fluorescence units (significantly
above background)
- The quantitative capability of this
system stems from the direct correlation
that has been shown between the
starting number of target sequence
copies in the sample and the number of
amplification cycles required for the
instrument to first detect an increase in
reporter dye fluorescence associated
with the generation of new copies.
- The cycle numbers where the reporter
dye fluorescence curves cross a
threshold value (red line near the bottom
of the figure) that is significantly above
the background fluorescence (purple line
at the very bottom) are automatically
reported by real time PCR instruments.
5
0 1 2 3 4 5
Log Cells
20
25
30
35
40
Cycle
Threshold
Enterococcus QPCR assay
Standard Curve
-Assuming that the recovered
quantity of DNA sequences from the
target organisms is consistent in the
sample extraction process, this same
relationship will also hold true for
target cell numbers versus cycle
threshold values.
- Hence, log-linear standard curves,
such as the one shown in this figure,
can be generated for the quantitation
of target organisms in similarly
processed test samples.
6
_______________________________________________________________________
Target cells Sample ΔCT Measured cells in test sample
in sample type CT (CT,test-CT,calib) (2-ΔCT x cells in calibrator)
_______________________________________________________________________
20000 Calibrator 19.8 ---- ----
Unknown Test 22.9 3.1 0.11 x 20000 = 2200
Unknown Test 26.2 6.4 0.012 x 20000 = 240
_______________________________________________________________________
assuming amplification efficiency = 2
- Information from the standard curve and results from a single calibrator sample
containing known target cell numbers - that is extracted and run with the test
samples - can also be used to determine target cell numbers in the test samples
using a simple calculation called the comparative cycle threshold method as
illustrated here.
Calculation of target organism cells in test samples from TaqMan assay
cycle threshold results using the comparative cycle threshold method
7
-Results from similar analyses of a positive control DNA that is added to the
calibrator sample and each of the test samples can be used to detect inhibition of
the PCR by the test sample and also to correct the measurements for variations in
DNA recovery during the extraction process using the delta delta CT method shown
here.
Example of 

CT, comparative cycle threshold method calculation
______________________________________________________________________________
Target Cells Sample Measured cells in test sample
in sample type CT,,target CT,ref 
CT 

CT (2-

CT x cells in calib.)a
______________________________________________________________________________
20000 Calib. 21.4 18.3 3.1 ---- ----
Unknown Test 23.9 17.4 6.5 3.4 0.089 x 20000 = 1800
Unknown Test 27.5 17.7 9.8 6.7 0.0096 x 20000 = 190
______________________________________________________________________________
a assuming amplification efficiency = 2
8
Procedures for Quantitative PCR analysis
of fecal indicator bacteria
10 Steps and 2 Hours
to Recreational Water
Quality Results
9
Step 1. Collect water sample
10
Step 2. Filter water sample
11
Step 3. Transfer filter to extraction
tube containing glass beads,
buffer and positive control DNA
12
Step 4. Bead mill filter membrane for 1
min to break cells and release DNA
13
Step 5. Centrifuge briefly
14
Step 6. Recover liquid sample with
released DNA from extraction tube
15
Step 7. Transfer sample to reaction
tube containing PCR reagents
16
Step 8. Place reaction tube in
real-time thermal cycler
17
Step 9. Run reaction in
thermal cycler
18
Step 10. Import run data into spreadsheet
and calculate target cells in sample
_____________________________________________________________________________
Sample Entero Control dCT Calib. ddCT Ratio Calib. cells QPCR cells
__________CT____CT____________dCT_________________________________________
5A 22.82 26.43 -3.61 -4.97 1.36 0.39 1.03E+005 40126.98__
5B 23.56 27.23 -3.67 -4.97 1.30 0.41 1.03E+005 41831.00
5C 22.87 27.09 -4.22 -4.97 0.75 0.59 1.03E+005 61244.17__
2A 33.58 28.74 4.84 -4.97 9.81 0.00 1.03E+005 114.74__
2B 32.87 28.56 4.31 -4.97 9.28 0.00 1.03E+005 165.68__
2C 33.61 28.99 4.62 -4.97 9.59 0.00 1.03E+005 133.65__
19
2003 QPCR vs. Method 1600 Results
ORD Beaches
Epidemiology Study
20
Study Design
• Two Beaches (Freshwater)
• New water monitoring protocol:
 6-9 sampling locations / beach
 Three sampling visits / day
 2-3 days / week (weekends and holidays)
 8-10 weeks / beach
• Survey of swimming-associated health outcomes
• Two analytical methods for water samples (QPCR and Membrane
Filtration)
21
____________________________________________________________________________
WEST BEACH HUNTINGTON BEACH
Enterococci/100 mL MF QPCR MF QPCR
_____________________________________________________________________________
Geometric Mean of all Sampling Visits* 9 143 27 159
C.V.** Between Sampling Visits 0.93 0.63 0.84 0.75
C.V. Within Sampling Visits 0.36 0.88 0.66 0.84
___________________________________________________
Summary of Results from Two Beaches
*One sampling visit corresponds to the geometric mean of results from all sampling
locations for a particular time and day
** Coefficient of variation (= Standard deviation in original units/mean)
22
23
Organized by Southern California Coastal
Water Research Project
2004 Rapid Methods
Comparison Study
24
Study Design
1. Tested four potential rapid methods (including QPCR) in parallel with
standard MF and MPN methods performed by several Southern CA water
testing laboratories.
2. Matrices were offshore marine water samples spiked with “known”
enterococci CFU numbers from sewage or urban runoff and several ambient
marine and freshwater samples with high expected enterococci numbers.
3. Potential interferences from humic acids and suspended solids present in
some samples
4. Results for rapid methods reported at 2, 4, 6 and 8 hrs.
25
Summary of enterococci results from QPCR and MF methods
Sample Type/Target CFU Mean QPCR Mean MF STD QPCR STD MF
Offshore Seawater 4 2 8 4
Offshore Seawater w/sewage/35 CFU 93 215 22 113
Offshore Seawater w/sewage/104 CFU 255 459 78 183
Offshore Seawater w/sewage/1000 CFU 1486 5620 317 2604
Offshore Seawater w/sewage and humic acids/104 CFU 1023 1034 595 448
Offshore Seawater w/sewage and humic acids/1000 CFU 5629 10720 4895 4554
Offshore Seawater w/urban runoff/35 CFU 80 37 47 13
Offshore Seawater w/urban runoff/104 CFU 578 80 88 39
Offshore Seawater w/urban runoff/1000 CFU 539 74 445 40
Yorktown Drain 133 9 54 5
Doheny Beach 5634 4860 895 1309
San Juan Creek- Doheny Beach 7477 8453 3564 2521
Santa Ana River at OCSD Plant 675 508 189 106
Nearshore Seawater w/sewage and suspended solids/
104 CFU 1665 128 1412 37
Nearshore Seawater w/sewage and suspended solids/
1000 CFU 3854 1112 1941 203
26
STD : Standard Deviation
• Sensitivity/Interferences
• Bacteroides assay
Future Advances
27
Sensitivity/Interferences
Problem:
1. 95% detection limit of QPCR method for Enterococcus is ~ 2 cells/sample or ~20
cells/sample for standard 10-fold diluted extracts of recreational waters.
Elimination of high levels of PCR inhibitors requires further dilutions of
extracts, e.g. 50 or 100-fold, which could decrease sensitivity to unacceptable
levels.
Future solutions:
1. In ORD Beach Study analyses to date < 5% of sample extracts required
additional dilutions (50-fold). PCR inhibition may therefore not be a major
problem for most recreational water analyses.
2. DNA purification? Currently used by many labs. Advantages: should eliminate
need for extract dilution and hence increase sensitivity. Disadvantages: adds time
and expense to overall method, DNA losses during purification can offset
sensitivity gains. Further testing needed.
28
Bacteroides assay
Problem:
1. The genus Bacteroides is another group of bacteria that has great potential as
indicators of fecal pollution due to their high numbers in the GI tract and short
half-life in the environment. A new QPCR assay for these organisms is also being
used in the ORD Beach Study.
2. In analyses to date, these organisms have not been detected in a significant
percentage of beach water samples - probably due to low sensitivity of this assay
(>100-fold less sensitive than Enterococcus assay).
Future solution:
1. A new QPCR reagent is currently being used that increases the sensitivity of the
Bacteroides assay to a similar level as that of Enterococcus assay – also increases
speed of both assays.
29
• QPCR results to date show good correlation with health
data and also with results of the current MF method
(particularly at high pollution levels)
• The QPCR method may be useful at this time as an
early warning system but confirmation with other methods
is still recommended
• Results from ongoing epidemiological studies may lead
to the development of new criteria for beach closings
based on same-day measurements by this method
Conclusions
30

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  • 1. Richard A. Haugland USEPA, Office of Research and Development, National Exposure Research Laboratory Presented at ORD Produce Expo for Region 5, October 6, 2004 Using Today’s Data to Close the Beach Today. Quantitative Polymerase Chain Reaction (QPCR) rapid beach closings tool. 1
  • 2. Principles of QPCR Analysis How Does Quantitative PCR Analysis Work? 2
  • 3. - PCR is now a widely used laboratory method for detecting specific DNA (or RNA) sequences that can originate from specific organisms, e.g. fecal indicator bacteria - It does this by making copies of these sequences (amplification) in large enough numbers (e.g. Millions) to allow their detection - usually after the amplification is completed. - Quantitative PCR (QPCR) differs from conventional PCR by detecting these copies with a fluorescent probe directly in the instrument as the reaction proceeds - for this reason it is also often called real time PCR. 3
  • 4. TaqManTM Sequence Detection System - Several types of chemistries have been developed for this direct detection of PCR- copied sequences. One of the most popular is the TaqManTM system illustrated here. - In the TaqManTM system, as each new copy of the target sequence is made – a hybridization probe which binds to the sequence is simultaneously hydrolyzed by the polymerase enzyme - This causes two fluorescent dyes at either end of the probe to become separated and eliminates the Q dye quenching effect on the fluorescence of the reporter or R dye. - For each new copy of the sequence that is made, the fluorescence of one reporter dye molecule becomes detectable by the instrument. 4
  • 5. QPCR Growth Curves 10 ng DNA 1 ng DNA 100 pg DNA 10 pg DNA 1 pg DNA no DNA * * * * * *Cycle Threshold: Cycle # at which growth curve = 30 fluorescence units (significantly above background) - The quantitative capability of this system stems from the direct correlation that has been shown between the starting number of target sequence copies in the sample and the number of amplification cycles required for the instrument to first detect an increase in reporter dye fluorescence associated with the generation of new copies. - The cycle numbers where the reporter dye fluorescence curves cross a threshold value (red line near the bottom of the figure) that is significantly above the background fluorescence (purple line at the very bottom) are automatically reported by real time PCR instruments. 5
  • 6. 0 1 2 3 4 5 Log Cells 20 25 30 35 40 Cycle Threshold Enterococcus QPCR assay Standard Curve -Assuming that the recovered quantity of DNA sequences from the target organisms is consistent in the sample extraction process, this same relationship will also hold true for target cell numbers versus cycle threshold values. - Hence, log-linear standard curves, such as the one shown in this figure, can be generated for the quantitation of target organisms in similarly processed test samples. 6
  • 7. _______________________________________________________________________ Target cells Sample ΔCT Measured cells in test sample in sample type CT (CT,test-CT,calib) (2-ΔCT x cells in calibrator) _______________________________________________________________________ 20000 Calibrator 19.8 ---- ---- Unknown Test 22.9 3.1 0.11 x 20000 = 2200 Unknown Test 26.2 6.4 0.012 x 20000 = 240 _______________________________________________________________________ assuming amplification efficiency = 2 - Information from the standard curve and results from a single calibrator sample containing known target cell numbers - that is extracted and run with the test samples - can also be used to determine target cell numbers in the test samples using a simple calculation called the comparative cycle threshold method as illustrated here. Calculation of target organism cells in test samples from TaqMan assay cycle threshold results using the comparative cycle threshold method 7
  • 8. -Results from similar analyses of a positive control DNA that is added to the calibrator sample and each of the test samples can be used to detect inhibition of the PCR by the test sample and also to correct the measurements for variations in DNA recovery during the extraction process using the delta delta CT method shown here. Example of   CT, comparative cycle threshold method calculation ______________________________________________________________________________ Target Cells Sample Measured cells in test sample in sample type CT,,target CT,ref  CT   CT (2-  CT x cells in calib.)a ______________________________________________________________________________ 20000 Calib. 21.4 18.3 3.1 ---- ---- Unknown Test 23.9 17.4 6.5 3.4 0.089 x 20000 = 1800 Unknown Test 27.5 17.7 9.8 6.7 0.0096 x 20000 = 190 ______________________________________________________________________________ a assuming amplification efficiency = 2 8
  • 9. Procedures for Quantitative PCR analysis of fecal indicator bacteria 10 Steps and 2 Hours to Recreational Water Quality Results 9
  • 10. Step 1. Collect water sample 10
  • 11. Step 2. Filter water sample 11
  • 12. Step 3. Transfer filter to extraction tube containing glass beads, buffer and positive control DNA 12
  • 13. Step 4. Bead mill filter membrane for 1 min to break cells and release DNA 13
  • 14. Step 5. Centrifuge briefly 14
  • 15. Step 6. Recover liquid sample with released DNA from extraction tube 15
  • 16. Step 7. Transfer sample to reaction tube containing PCR reagents 16
  • 17. Step 8. Place reaction tube in real-time thermal cycler 17
  • 18. Step 9. Run reaction in thermal cycler 18
  • 19. Step 10. Import run data into spreadsheet and calculate target cells in sample _____________________________________________________________________________ Sample Entero Control dCT Calib. ddCT Ratio Calib. cells QPCR cells __________CT____CT____________dCT_________________________________________ 5A 22.82 26.43 -3.61 -4.97 1.36 0.39 1.03E+005 40126.98__ 5B 23.56 27.23 -3.67 -4.97 1.30 0.41 1.03E+005 41831.00 5C 22.87 27.09 -4.22 -4.97 0.75 0.59 1.03E+005 61244.17__ 2A 33.58 28.74 4.84 -4.97 9.81 0.00 1.03E+005 114.74__ 2B 32.87 28.56 4.31 -4.97 9.28 0.00 1.03E+005 165.68__ 2C 33.61 28.99 4.62 -4.97 9.59 0.00 1.03E+005 133.65__ 19
  • 20. 2003 QPCR vs. Method 1600 Results ORD Beaches Epidemiology Study 20
  • 21. Study Design • Two Beaches (Freshwater) • New water monitoring protocol:  6-9 sampling locations / beach  Three sampling visits / day  2-3 days / week (weekends and holidays)  8-10 weeks / beach • Survey of swimming-associated health outcomes • Two analytical methods for water samples (QPCR and Membrane Filtration) 21
  • 22. ____________________________________________________________________________ WEST BEACH HUNTINGTON BEACH Enterococci/100 mL MF QPCR MF QPCR _____________________________________________________________________________ Geometric Mean of all Sampling Visits* 9 143 27 159 C.V.** Between Sampling Visits 0.93 0.63 0.84 0.75 C.V. Within Sampling Visits 0.36 0.88 0.66 0.84 ___________________________________________________ Summary of Results from Two Beaches *One sampling visit corresponds to the geometric mean of results from all sampling locations for a particular time and day ** Coefficient of variation (= Standard deviation in original units/mean) 22
  • 23. 23
  • 24. Organized by Southern California Coastal Water Research Project 2004 Rapid Methods Comparison Study 24
  • 25. Study Design 1. Tested four potential rapid methods (including QPCR) in parallel with standard MF and MPN methods performed by several Southern CA water testing laboratories. 2. Matrices were offshore marine water samples spiked with “known” enterococci CFU numbers from sewage or urban runoff and several ambient marine and freshwater samples with high expected enterococci numbers. 3. Potential interferences from humic acids and suspended solids present in some samples 4. Results for rapid methods reported at 2, 4, 6 and 8 hrs. 25
  • 26. Summary of enterococci results from QPCR and MF methods Sample Type/Target CFU Mean QPCR Mean MF STD QPCR STD MF Offshore Seawater 4 2 8 4 Offshore Seawater w/sewage/35 CFU 93 215 22 113 Offshore Seawater w/sewage/104 CFU 255 459 78 183 Offshore Seawater w/sewage/1000 CFU 1486 5620 317 2604 Offshore Seawater w/sewage and humic acids/104 CFU 1023 1034 595 448 Offshore Seawater w/sewage and humic acids/1000 CFU 5629 10720 4895 4554 Offshore Seawater w/urban runoff/35 CFU 80 37 47 13 Offshore Seawater w/urban runoff/104 CFU 578 80 88 39 Offshore Seawater w/urban runoff/1000 CFU 539 74 445 40 Yorktown Drain 133 9 54 5 Doheny Beach 5634 4860 895 1309 San Juan Creek- Doheny Beach 7477 8453 3564 2521 Santa Ana River at OCSD Plant 675 508 189 106 Nearshore Seawater w/sewage and suspended solids/ 104 CFU 1665 128 1412 37 Nearshore Seawater w/sewage and suspended solids/ 1000 CFU 3854 1112 1941 203 26 STD : Standard Deviation
  • 28. Sensitivity/Interferences Problem: 1. 95% detection limit of QPCR method for Enterococcus is ~ 2 cells/sample or ~20 cells/sample for standard 10-fold diluted extracts of recreational waters. Elimination of high levels of PCR inhibitors requires further dilutions of extracts, e.g. 50 or 100-fold, which could decrease sensitivity to unacceptable levels. Future solutions: 1. In ORD Beach Study analyses to date < 5% of sample extracts required additional dilutions (50-fold). PCR inhibition may therefore not be a major problem for most recreational water analyses. 2. DNA purification? Currently used by many labs. Advantages: should eliminate need for extract dilution and hence increase sensitivity. Disadvantages: adds time and expense to overall method, DNA losses during purification can offset sensitivity gains. Further testing needed. 28
  • 29. Bacteroides assay Problem: 1. The genus Bacteroides is another group of bacteria that has great potential as indicators of fecal pollution due to their high numbers in the GI tract and short half-life in the environment. A new QPCR assay for these organisms is also being used in the ORD Beach Study. 2. In analyses to date, these organisms have not been detected in a significant percentage of beach water samples - probably due to low sensitivity of this assay (>100-fold less sensitive than Enterococcus assay). Future solution: 1. A new QPCR reagent is currently being used that increases the sensitivity of the Bacteroides assay to a similar level as that of Enterococcus assay – also increases speed of both assays. 29
  • 30. • QPCR results to date show good correlation with health data and also with results of the current MF method (particularly at high pollution levels) • The QPCR method may be useful at this time as an early warning system but confirmation with other methods is still recommended • Results from ongoing epidemiological studies may lead to the development of new criteria for beach closings based on same-day measurements by this method Conclusions 30