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Journal of Clinical Microbiology, April 2006, p. 1405-1412, Vol. 44, No. 4
0095-1137/06/$08.00+0 doi:10.1128/JCM.44.4.1405-1412.2006
National Center for Infectious Diseases, Centers for Disease Control and Prevention, Atlanta, Georgia,1 Atlanta Research and Education Foundation, Decatur, Georgia,2 National Center for Environmental Health, Centers for Disease Control and Prevention, Atlanta, Georgia3
Received 28 October 2005/ Returned for modification 27 December 2005/ Accepted 15 February 2006
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NoVs are separated into five genogroups on the basis of sequence comparison of the RNA polymerase and capsid region of the genome. Genogroups I, II, and IV are associated with infections in humans. To date, 29 genetic clusters (8 from GI; 17 from GII; 2 from GIII; and 1 each from GIV and GV) have been identified, demonstrating a high degree of genomic diversity among NoVs (2, 13, 41, 42). NoV traditionally has been detected by conventional reverse transcription (RT)-PCR, a method that requires confirmation by probe or sequence analysis (3, 9). Human NoVs cannot be cultivated, and immunoassays developed to date have not been adequately sensitive for detecting sporadic cases. Additionally, because NoVs are so diverse, designing one set of primers to detect all strains with equal efficiency is difficult. More-sensitive techniques are required to detect NoV in food and water samples, in which viral loads are typically much lower than those found in clinical samples. To date, several methods have been developed to increase the detection rate of NoV, including PCR and probe hybridization with multiple genotype-specific oligonucleotides and SYBR green analysis (3, 4, 9, 25, 26, 29, 31, 40). However, these assays have limitations. Conventional RT-PCR is time-consuming, and SYBR green analysis uses an intercalating dye that binds to all double-stranded DNA, including primers-dimers and nonspecific products. Additionally, detection of NoV in water requires methods for concentrating the virus from a large volume of water in order to increase sensitivity, a process that can coconcentrate RT-PCR inhibitors and/or erroneous targets (32). Unlike SYBR green-based quantitative methods, probe-based quantitative RT-PCR uses a fluorescently labeled, target-specific probe that results in increased specificity and sensitivity. In addition to their utility with clinical samples, probe-based quantitative methods can be especially useful in the detection of virus in samples with low viral concentrations.
To improve the detection of NoV, we developed, expanded, and evaluated real-time RT-PCR methods based on TaqMan probe hydrolysis technology, which was previously described (17). These TaqMan assays provide sensitive, specific, and quantitative results in NoV diagnostic assays and have been successfully applied to clinical and environmental samples containing NoVs in low copy numbers. These assays rapidly detect and identify NoVs belonging to genogroups I, II, and IV and do not require any post-PCR processing. This straightforward, sensitive, and specific method will assist scientists in public health and diagnostic laboratories reduce the time needed for routine diagnosis of NoV infection and will aid in the management of outbreaks.
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FIG. 1. Phylogenetic dendrogram of strains belonging to clusters of human NoVs. Underlined clusters denote GI, GII, and GIV strains tested by real-time RT-PCR (43).
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Stool sample preparation and extraction of total nucleic acids. Fecal samples were prepared as previously described, with some modifications (38). In brief, 0.1 g of formed stool or 0.1 ml of watery stool was suspended in 1 ml of diethyl pyrocarbonate-treated water (Ambion, Austin, TX), yielding a 10% suspension. To clarify the stool suspension, 1 ml of 2,3-dihydrodecafluoropentane (Vertrel, New Britain, CT) was added and the mixture was vortexed for 1 min and clarified by centrifugation at 2,060 x g for 10 min at 4°C. The suspension (0.2 ml) was mixed with NucliSens lysis buffer (0.9 ml; BioMérieux, Durham, NC), and total nucleic acid was extracted by the method of Boom et al. (8), with the NucliSens extractor (BioMérieux, Durham, NC), as directed for small sample volumes. RNA samples were stored at 70°C until ready for use.
NoV detection and genetic characterization by region B conventional duplex RT-PCR. Partial NoV sequences for region B were amplified by conventional RT-PCR with primers Mon 431 and Mon 433 for genogroup I and primers Mon 432 and Mon 434 for genogroup II (Table 1). These primers amplify a small region within the 3' end of the ORF1 portion of the genome. The product length is 213 bp, with a unique sequence length of 172 bp. In cases where region B primers produced a negative or indeterminate result, primers for region C that are specific only for amplifying GII strains were used (7). The region B RT-PCR mixture consisted of 1 µl of RNA and a final volume of 49 µl of a reaction mixture containing 19.3 µl of diethyl pyrocarbonate-treated water; 2.5 µl of 20 mM dithiothreitol (Invitrogen); 0.1 µl of Triton X-100; 0.07 µl of 1.44 M ß-mercaptoethanol; 0.3 µM each primers Mon 431, Mon 432, Mon 433, and Mon 434; 25 µl of Master-Amp G 2X PCR Pre-Mix (Epicenter); 0.5 µl of 40 U/µl Protector RNase inhibitor (Roche Inc., Indianapolis, IN); 0.09 µl of 20 U/µl Super Reverse Transcriptase (Molecular Genetic Resources, Tampa, FL); and 0.25 µl of 5 U/µl AmpliTaq DNA polymerase (Applied Biosystems, Foster City, CA). The capsid region RT-PCR mixture consisted of 1 µl of RNA and a final volume of 49 µl of a reaction mixture containing 0.6 µM each capsid primer (Mon 381, Mon 383), 33.8 µl of H2O from the QIAGEN One Step RT-PCR kit (QIAGEN Inc., Valencia, CA), 10 µl of QIAGEN One Step RT-PCR 5x buffer, 2 µl of a deoxynucleoside triphosphate mixture (10 mM each), and 2 µl of One Step enzyme mix (QIAGEN Inc., Valencia, CA). The thermocycling program for the one-step conventional region B RT-PCR consisted of RT for 10 min at 42°C; denaturation for 3 min at 94°C; 40 PCR cycles consisting of 94°C for 30 s, 50°C for 90 s, and 60°C for 30 s; and then 72°C for 7 min. The thermocycling conditions for the capsid L region RT-PCR consisted of linearizing the RNA by heating 1 µl of RNA with 0.6 µM each capsid primer at 94°C for 3 min, followed by addition of the cocktail. The RNA was then reverse transcribed for 60 min at 42°C and then subjected to activation for 15 min at 95°C; 40 PCR cycles consisting of 94°C for 60 s, 50°C for 90 s, and 60°C for 120 s; and 72°C for 7 min.
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TABLE 1. Primer and probe oligonucleotides used for real-time quantitative RT-PCR for genogroups I, II, and IV and primers for region B
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Primers and probes for real-time RT-PCR. For detecting NoV GI and GII, we used primers and TaqMan probes previously described (17; Table 1). These primers and probes target NoV sequences at the ORF1-ORF2 junction, a highly conserved region of the NoV genome. The primers and probes for GI were chosen from the corresponding Norwalk/68 virus (GenBank accession no. M87661), and those for GII were chosen from the corresponding Camberwell virus (GenBank accession no. AF145896). Primers and TaqMan probes for GIV NoV detection were developed at the Centers for Disease Control and Prevention (CDC) and used the corresponding Saint Cloud virus (GenBank accession no. AF414427) (Table 1). These primers target the ORF1-ORF2 junction of the genome.
Preparation of in vitro RNA transcripts. The 3-kb RT-PCR products obtained in a prior study were used as the source of DNA for preparation of in vitro RNA transcripts (4). The amplification products were cloned into either the ClaI/NotI or the ClaI/XbaI sites of the pBluescript II SK (+) plasmid vector (Stratagene, La Jolla, CA) after reamplification with the original primers modified to contain the restriction enzyme sites. After the cloned plasmid DNA was purified by use of the QIAfilter plasmid Mega kit (QIAGEN Inc., Valencia, CA), the DNA insert was cut out with the restriction enzymes, gel purified, and used as the template for in vitro transcription with T7 RNA polymerase with the MEGAscript kit (Ambion Inc., Austin, TX). After digestion of the template DNA with RNase-free DNase I (Ambion Inc.) at 37°C for 30 min and phenol-chloroform extraction, followed by ethanol precipitation, the RNA transcripts were dissolved in RNase-free water and the concentrations were calculated after measuring the absorbance at 260 nm. The RNA transcript solutions were diluted with RNA Storage Solution (Ambion Inc., Austin, TX), aliquoted, and kept at 70°C for long-term storage. The genetic groups (2) (GenBank accession numbers) of the 3-kb products that served as the templates for the RNA transcripts were GI/3 (Honolulu 219/1992/US, S4 [accession no. AF414403]) and GII/4 (Burwash Landing 331/1995/US, S24 [accession no. AF414425]). The 3-kb products were reamplified with three primers, SR48ad (forward primer for GI; 5'-CCA TCG ATA CTA GTG AAC AGC ATA AA-3'), SR46ad (forward primer for GII; 5'-C CAT CGA TAC TAG TCC ATC GCC CAC TGG-3'), and VNad (reverse primer for both GI and GII; 5'-A AGG ATC CGC GGC CGC TCT AGA TTT TTT-3').
TaqMan real-time RT-PCR. We performed quantitative real-time RT-PCR assays with the LightCycler RNA amplification kit hybridization probes (Roche Diagnostics, Alameda, CA). The final reaction mixture (20 µl) consisted of 1 µl of RNA, 4 µl of the LightCycler RT-PCR mixture, 0.4 µl of the LightCycler RT-PCR enzyme mixture, and 5 mM MgCl2. In the final optimized format, the concentrations of the primers and probes were as follows: for the GI assay, 0.2 µM each GI probe with 0.4 µM each primer; for the GII assay, 0.4 µM probe and 0.4 µM each primer; and for the GIV assay, 0.4 µM probe and 0.3 µM each primer. The thermal cycling conditions consisted of RT for 30 min at 55°C, followed by denaturation at 95°C for 30 s, amplification for 45 cycles, followed by denaturation at 95°C for 0 min, and annealing-extension at 60°C for 60 s.
Fluorescence measurements were taken, and the crossing point (cycle number [CN]) for each sample was calculated by the fit points method. The noise band was set to a minimum value of 3 standard deviations above the background fluorescence (34). The algorithm to minimize error for the LightCycler platform was used to set the crossing point for analysis. The threshold for a positive value was set at greater than three times the background fluorescence. A test result was considered positive if the genomic target showed positive results (CN) at less than 40 cycles and all positive and negative control reactions gave expected values.
NoV RNA concentration from water samples. In the fall of 2003, the CDC Vessel Sanitation Program collected 12 water samples from cruise ship A, which had repeated outbreaks of NoV gastroenteritis suspected to be linked to its water supply, although the exact source had not been determined. Potable-water samples (10 to 20 liters) were collected from various sites aboard the ship. Prefilters (AP 2504700; Millipore, Bedford, MA) were used to prevent clogging by large-particulate matter. The samples were filtered through a positively charged membrane (0.45-µm pore size; Zetapore; AMF-Cuno, Meriden, CT). After samples were collected, the prefilter and filters were packaged by a sterile technique, placed at 4°C, and transported to the CDC, where they were processed within 24 h. The prefilter was discarded, and the membrane was transferred to a 200-ml beaker. Sterile 0.5 M lysine (15 ml), pH 8.5, was added, and the filter was shaken for 20 min at room temperature. Fifteen milliliters of sterile 0.5 M arginine, pH 8.5, was added to the beaker and vigorously shaken for an additional 20 min. A sufficient volume of 1 M HCl was added to the supernatant to decrease the pH to 7.3. The solution was vigorously shaken for an additional 20 min at room temperature. The virus was concentrated by adding 15 ml of sterile 30% polyethylene glycol and 0.9 M NaCl and shaken vigorously for an additional 20 min at room temperature. The mixture was transferred into a 50-ml conical tube and centrifuged at 10,000 x g for 30 min at 4°C. The supernatant was discarded, and the pellet was resuspended in 1 ml of H2O and mixed by inverting the tube. The mixture was washed by adding 0.5 ml of a 30% polyethylene glycol-0.9 M NaCl solution and then centrifuged at 10,000 x g for 30 min at 4°C. This process was repeated twice. The retained material was adjusted to 250 µl with sterile H2O. Total nucleic acid was extracted with the automated Nuclisens Extractor (BioMérieux, Durham, NC) as directed for small sample volumes. RNA samples were stored at 70°C until ready for use. Five microliters of RNA, representing 10% of the water concentrate, was used for NoV detection.
In a separate case of outbreaks of NoV among river rafters, 21 water samples were collected by filtration as described above. Since the river was suspected as the source of NoV contamination, water samples from different locations on the river were collected. Due to the remote location and the lack of refrigeration, the samples were stored at room temperature for 1 week. Upon arrival at the CDC, the samples were refrigerated and processed within 12 h. RNA samples were stored at 70°C until ready for use.
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FIG. 2. CNs detected from archived specimens of water and stool. A comparison of water (A) (n = 33) and stool (B) (n = 72) samples is shown. Specimens with CNs of >40 or not detected were considered negative (Neg).
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FIG. 3. Relationship between known copy numbers of T7 RNA (GI and GII) or viral RNA from stool extract (GIV) and the detection threshold. T7 RNA transcripts were made for representative GI and GII strains, and a fecal specimen was used for GIV. (A) Serial dilution of a GI/3 NoV RNA transcript demonstrating a wide dynamic range. The detection limit was 9.836 x 101 copies/µl, the slope was 3.370, the y intercept was 43.97, and the R2 value was 1.00. (B) GII/4 serial dilution of a NoV RNA transcript showing a wide dynamic range. The detection limit was 9.05 copies/µl, the slope was 3.324, the y intercept was 39.20, and the R2 value was 1.00. The mean squared error was 0.195. (C) (GIV) NoV RNA stool standard serial dilutions. The slope was 3.310, the y intercept was 58.96, and the R2 value was 1.00. The mean squared error was 0.0763. The detection limit of the GIV stool standard curve was 8.644 x 105 copies/µl. The slope, y intercept, and mean squared error were 3.392, 59.27, and 0.0764, respectively, and the R2 value was 1.00.
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FIG. 4. Detection of NoV in water samples from cruise ship A by conventional (A) versus real-time (B) RT-PCR assay. (A) A conventional RT-PCR assay failed to detect NoV RNA from potable water (lanes 2 and 3) compared with a positive control (lane 4, GII strain) and a negative control (lane 5, water). Lanes 1 and 6 were 123-bp ladders in a 3% agarose gel with 0.5 µg of ethidium bromide run at 120 V for 60 min. (B) A real-time RT-PCR assay identified 2 positive water samples ( , ) among 12 samples tested. Controls included a GII/4 strain T7 RNA transcript ( ), a GII/4 fecal specimen ( ), and a no-template negative control water sample (). (C) Conventional RT-PCR detected NoV RNA in potable water after samples were diluted 1:100. Lane 1 was a 123-bp ladder in a 3% agarose gel with 0.5 µg of ethidium bromide run at 120 V for 60 min. Lanes 2 and 5 were positive controls (GII strain); lanes 3 and 7 were water samples 1 and 2, respectively; and lanes 4 and 6 were negative controls.
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NoVs are especially diverse; therefore, designing one set of primers to detect all strains with equal efficiency is difficult. Since NoVs circulating in the community are frequently changing and new clusters are recognized regularly, we entertained the possibility that the primers and probes, over time, would not continue to provide broadly reactive detection of GI, GII, and GIV NoVs. To investigate this possibility, we tested two recently identified NoV strains, GII/16 (accession no. AY502006) and GII/17 (accession no. AY502009) (43). Robust signals were observed with the GII assay, demonstrating continued detection albeit strain evolution (data not shown). The primer and probe sets for GI and GII NoVs designed by Kageyama et al. and our GIV primers and probe set maximize detection over time by using the ORF1-ORF2 region, which contains the highest nucleotide homology (17).
RT-PCR was the first molecular diagnostic method used for the diagnosis of NoV infection in clinical and environmental samples (2, 28, 36). Although this method is powerful, it lacks the sensitivity and specificity needed for samples with low viral loads or samples containing RT-PCR inhibitors. As observed in our study, samples containing low viral concentrations and RT-PCR inhibitors may test falsely negative by conventional RT-PCR methods. However, with the TaqMan assay, sensitivity greater than that of the conventional method was repeatedly observed with samples containing low NoV concentrations or RT-PCR inhibitors. Additionally, the TaqMan assay has the increased specificity of the TaqMan probe, as opposed to previously described SYBR green real-time RT-PCR assays (29). This TaqMan real-time RT-PCR method detects NoV in a genogroup-specific manner, making it possible to determine the genogroup directly without resorting to conventional RT-PCR methods that use degenerate primers and require sequencing for confirmation. By means of serially diluted NoV transcripts, potential detection limits of <10 transcript copies per reaction mixture and <100 transcript copies per reaction mixture were achieved with the GII and GI transcripts, respectively. The assays demonstrated a large dynamic range of at least 6 logs for quantification. The GIV stool had a lower detection limit of <10,000 transcript copies per reaction mixture. As opposed to T7 RNA transcripts, the presence of nucleases and other RT and/or PCR inhibitors in stool may account for the decreased sensitivity of the GIV assay. However, much like the GII transcript standard, a detection limit of <10 copies per reaction mixture was also observed with the GII stool standard (data not shown). The sensitivity difference among the GI, GII, and GIV assays can also be due to many other factors, such as primer design and differences in PCR conditions.
Real-time RT-PCR offers obvious advantages over more traditional RT-PCR formats, but some caution is required when interpreting results. The efficiency of a real-time assay can be estimated by analyzing the exponential phase of the amplification curve (5, 33, 39). Quantitative RT-PCR methods presume that the target and the sample are amplified with similar efficiencies. However, small variations in efficiency reflecting a decline in DNA polymerase activity between standards and unknowns can negatively impact true quantification.
The risk with external standards is that some of the unknown samples may contain substances that significantly reduce the efficiency of the PCR. When inhibitors are suspected, sample dilution is often effective and the inhibitory factors can be diluted out if the target nucleic acid is present in sufficient quantities. The presence of inhibitors may affect the ability to determine the absolute or true starting copy number in these samples, but for detection and subtyping, semiquantitation or approximation of the concentration is sufficient. Various other approaches have been developed to detect RT and PCR inhibitors in clinical and environmental samples containing NoV. Housekeeping genes such as that for RNase P have been used with fecal samples but have yielded inconsistent results (S. Monroe, personal communication; 10). Internal standard controls of synthetic NoVs can be generated by transcribing NoV plasmids, but this significantly increases the cost of testing (5, 36, 37).
The TaqMan assay is ideal for laboratories handling a large volume of clinical and environmental specimens and provides quantification and immediate typing of GI, GII, and GIV NoV strains. A multiplex real-time RT-PCR assay for the detection of GI and GII NoVs has recently been described (30), but further development to include the GIV primer set is needed. After an initial rapid NoV diagnosis has been made with the TaqMan assays, strain comparison with capsid VP1 (region D) primers can be done since phylogenetic analysis of sequences from this region are consistent with those based on entire capsid sequences (42).
This assay has proven useful for routine diagnostic assays in clinical settings because it eliminates postamplification product processing and thus shortens the turnaround time for reporting results, which can prove critical in an outbreak setting. Finally, the TaqMan assay can assist in determining if NoV contamination is present in samples containing very low viral concentrations.
This research was supported in part by the Atlanta Research and Education Foundation (AREF) and the CDC.
The findings and conclusions in this report are ours and do not necessarily represent the views of the funding agency.
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