Literature DB >> 28580353

Development and Validation of a Novel Real-time Assay for the Detection and Quantification of Vibrio cholerae.

Ridwan Bin Rashid1, Jannatul Ferdous1,2, Suhella Tulsiani2,3, Peter Kjaer Mackie Jensen2,3, Anowara Begum1.   

Abstract

Vibrio cholerae O1 and O139 has been known for its ability to cause epidemics. These strains produce cholera toxin which is the main cause of secretory diarrhea. V. cholerae non-O1 and non-O139 strains are also capable of causing gastroenteritis as well as septicemia and peritonitis. It has been proven that virulence factors such as T6SS, hapA, rtxA, and hlyA are present in almost all V. cholerae strains. It is imperative that viable but non-culturable cells of V. cholerae are also detected since they are also known to cause diarrhea. Thus, the aim of this study was to develop an assay that detects all V. cholerae regardless of their serotype, culturable state, and virulence genes present, by targeting the species specific conserved ompW sequence. The developed assay meets these goals with 100% specificity and is capable of detecting as low as 5.46 copy number of V. cholerae. Detection is rapid since neither lengthy incubation period nor electrophoresis is required. The assay had excellent repeatability (CV%: 0.24-1.32) and remarkable reproducibility (CV%: 1.08-3.7). Amplification efficiencies in the 89-100% range were observed. The assay is more economical than Taqman-based multiplex real-time PCR assays. Compared to other real-time assays, the ompW assay is specific and sensitive, has better repeatability and reproducibility, and is more economical.

Entities:  

Keywords:  CT value; OmpW; Vibrio cholerae; gene copy number; real-time PCR; sensitivity and specificity

Year:  2017        PMID: 28580353      PMCID: PMC5437123          DOI: 10.3389/fpubh.2017.00109

Source DB:  PubMed          Journal:  Front Public Health        ISSN: 2296-2565


Introduction

Vibrio cholerae is a Gram-negative, comma shaped facultative pathogen responsible for causing cholera. The global incidence of cholera was about 2.8 million cases per year, with 91,000 deaths (1). V. cholerae O1 has been the etiological agent for several cholera epidemics. The serogroup O139 was responsible for cholera outbreaks in India and other countries in Asia during 1992 (2) and was also isolated during the outbreak in November 2000 in India (3) and March–April 2002 in Bangladesh (4). Vibrio cholerae O1 and O139 serogroups express toxin coregulated pilus which confers the bacteria the ability to colonize the intestine while the cholera toxin is associated with secretory diarrhea (5). Depending on severity, the infectious dose for V. cholerae varies from 106 to 1011 cells (6). Toxigenic and non-toxigenic non O1, non-O139 have been documented as incriminating in several outbreaks in developing countries (7–10). In non-CT-producing vibrios, virulence factors such as type 3 secretion systems, hemolysin (HlyA), repeat in toxin (RTX), and heat-stable enterotoxin have major roles in causing infections (11). Hasan et al. (10) reported 98% V. cholerae strains carried hemagglutinin protease hap (98%) irrespective of their source, i.e., clinical or environmental. Other virulence factors present are T6SS (94–99%), rtxA (96%), toxR (87%), and hlyA (83%), and all these virulence factors might be responsible for diarrhea caused by non-toxigenic non-O1/non-O139 variants. Vibrio cholerae in the viable but non-culturable (VBNC) state can express virulence factors required to produce infection (12). The VBNC cells have the capacity to revert to the culturable state and colonize the intestine (13) the mechanism of which is largely unknown (14). These organisms may go undetected if conventional culture based methods are used (15). Conventional identification of V. cholera, which may be done by biochemical tests, is time consuming and laborious. Available commercial biochemical identification systems, such as dipstick test used for the detection of O1 and O139 strains, are not always accurate (16). V. cholerae has been shown to possess similar biochemical properties with other species in the Genus Vibrio and Aeromonas, hence complicating an accurate identification (17). Compared to conventional PCR, real-time PCR is less labor intensive, more safe, and rapid due to the elimination of gel electrophoresis. It has greater sensitivity and can detect minute amounts of target amplicons that might be missed by the conventional PCR. Real-time PCR can directly target genomic DNA and thus eliminate extensive incubation periods (18). Furthermore, VBNC cells can be detected which might be missed by culture-based methods. The ompW sequence is highly conserved among V. cholerae species belonging to different biotypes and/or serogroups (17). Hence, the ompW gene could be used as a target for species-specific detection, identification, and quantification. A number of assays exist for the detection of V. cholerae (19–24) but many of these assays lack empirical data for reproducibility and repeatability. Some of these assays have not been validated in terms of detecting non-specific products that might accompany the amplification reaction. Furthermore, a number of assays are based on virulence factors that might not be present in certain strains and might yield false negative results. The aim of this study was to develop an assay that detects and quantifies both O1/O139 and non O1/O139 disease causing strains of Vibrio spp. In addition, the assay would be able to quantify VBNC cells that cannot be detected or quantified by conventional methods.

Materials and Methods

Assay Controls and Growth Conditions

A total of 28 bacterial strains were used as assay controls. V. cholerae strains were grown in alkaline peptone water for enrichment, and all other strains were grown in nutrient broth for 24 h in 37°C. Genomic DNA from overnight cultures controls were extracted and purified according to the manufacturer’s instructions by QIAamp DNA mini kit (Qiagen, Hilden, Germany).

Sample Preparation and Spiking

Four different types of samples were taken for experiment: (i) drinking water, (iii) pond water, (ii) boiled rice, and (iii) shrimp. Rice sample were prepared by homogenization of 25 g of boiled rice with 225 μL of phosphate-buffered saline (1 L distilled H2O, 10 g L−1 NaCl, 0.25 g L−1 KCl g L−1, 1.8 g L−1 Na2HPO4, 0.3 g L−1 KH2PO4; pH 7.4) in a Stomacher Lab Blender (Seward Stomacher® 80, Lab Biomaster, UK). Shrimp sample was also prepared by following the same procedure for rice. All of the samples were spiked with different concentrations of V. cholerae CT+ O139, V. cholerae CT+ O1, and V. cholerae CT− non-O1/non-O139. Prior to the evaluation of this assay for these environmental samples, absence of V. cholerae was confirmed by qPCR. DNA extraction was conducted using QiaAmp® DNA mini kit (Qiagen GmbH, Hilden, Germany) according to the manufacturer’s instruction.

PCR Primer Design

The Outer Membrane Protein W-OMPW Sequence of eight reference strains (Table 1) was downloaded from the NCBI database. The primer design was accomplished by FastPCR 6.05 (PrimerDigital, Helsinki, Finland). Primers that conformed to the criteria and summarized in Table 3 were analyzed for their complementarity with the reference sequence by Basic Local Alignment Search Tool (NCBI, Bethesda, MD, USA). The forward and reverse primer sequences were checked, and the pair that had the highest identity with the Query Sequences (reference sequences) was selected for further analysis (Table 2).
Table 1

.

StrainAccession number
Vibrio cholerae strain 08-5735 ompWgene, partial cdsFJ462446
V. cholerae strain 08-5739 ompW gene, partial cdsFJ462447
V. cholerae strain 08-5738 ompW gene, partial cdsFJ462448
V. cholerae strain 08-5737 ompW gene, partial cdsFJ462449
V. cholerae strain ATCC 27070 ompW gene, partial cdsFJ462450
V. cholerae strain ATCC 55056 ompW gene, partial cdsFJ462451
V. cholerae strain 08-5742 ompW gene, partial cdsFJ462453
V. cholerae O1 strain N16961 ompW gene, complete cdsKJ722608
Table 3

Primer parameters obtained for the designed primers together with the default and ideal range as stated by Kalendar et al. (.

CriteriaDefaultIdealObtained
Length (nt)20–24>21Forward (22 nt)
Reverse (20 nt)
TM range (°C)52–6860–68Forward (56.8)
Reverse (55.8)
TM 12 bases at 3′ end30–5041–47Forward (42.9)
Reverse (41.3)
CG (%)45–6550Forward (47.7)
Reverse (50.0)
Linguistic complexity (LC%)>75>90Forward (95)
Reverse (89)
Sequence quality (PQ%)>70>90Forward (93)
Reverse (87)
Table 2

.

Sequence(5′–3′)Length (nt)Tm (°C)PCR_Fragment_Size (bp)Topt (°C)
ForwardAcatcagytttgaagtcctcgc2256.819161
ReverseGtggtgtaattcaaacccgc2055.8
. . Primer parameters obtained for the designed primers together with the default and ideal range as stated by Kalendar et al. (.

Calculation of the Physical Parameters of Primers

Primer quality was calculated by the consecutive summation of the points according to the parameters: total sequence and purinepyrimidine sequence complexity, the melting temperatures of the whole primer, and of the 12 bases from each of the terminal 3′ and 5′. The melting temperature of the 12 bases at the 3′ terminus is calculated by nearest neighbor thermodynamic parameters (26). Linguistic complexity measurements (Eqs 1–3) were performed using the alphabet-capacity L-gram method (27, 28). The Tm was calculated by the nearest neighbor thermodynamic parameters (26, 29). The optimal annealing temperature (Ta) was calculated by the Eq. 4 (30).

Real-time PCR Conditions

A Mastermix consisted of 12.5 μL 2× Power SYBR green® PCR master mix containing passive reference of ROX dye (Applied Biosystems, Life Technologies, Warrington, UK), 2.5 μL of 100 nM each sense and antisense primer, 2.5 μL of DEPC treated H2O, and 5 μL of template DNA. The thermal conditions were maintained under the following conditions: polymerase activation at 95°C for 5 min, followed by 40 cycles of 30 s at 95°C for and 1 min at 60°C. The real-time PCR was performed using the machine Applied Biosystems StepOne™ (48-well).

Specificity of the qPCR Assay

In order to investigate the capability of the assay to distinguish between target and non-target, DNA from 10 isolates of E. coli, 5 isolates of Enterococcus spp., 6 isolates of Salmonella spp., 3 isolates from Vibrio spp., and 7 isolates of V. cholerae were used as templates. The concentration of all DNA samples from the isolates was kept almost same (approximately 10 ng/μL) by diluting with DEPC-treated water or concentrating by DNA concentrator (Eppendorf Concentrator 5301).

Melt Curve Analysis and Detection of Non-Specific Products

Four dilutions of two V. cholerae strains were subjected to qPCR as stated above, and the reaction mixtures containing the SYBR Green PCR products were gradually warmed to 95°C at a ramp rate of 0.3°C/s with continuous fluorescence acquisition. The melting curves were created by plotting the derivative reporter vs the temperature. The melting curve analysis was performed with duplicates of four serial dilutions of template DNA ranging from 106 to 103 gene copies per reaction using the ABI software version 2.2.2. The SYBR green PCR products were also resolved for identity in 1.5% agarose gel by electrophoresis.

Sensitivity and Limits of Detection (LOD)

The DNA sample of V. cholerae was then serially diluted (10-fold) upto 7-log10 (5.46 × 105 copy numbers down to 5.46 × 10−1) in DEPC-treated water. Five microliters from each dilution were used as template for detection. Distilled water was used as no template control.

Calibration Standards for Standard Curves

To estimate the number of cells in a reaction, the mass of a single bacterial genomic DNA was calculated. The genome size of one V. cholerae was 4,033,460 bp (NCBI Genbank10952301). The molecular mass of the genome was found by multiplying the genome size with the mass of base pair. The molecular mass of V. cholerae was found to be 4.52 fg. The starting concentration of each stock DNA was measured by ColibriMicrovolume Spectrometer (Titertek-Berthold, Berthold Detection Systems GmbH, Bleichstrasse, Pforzheim, Germany) at absorbance 260 nm. To establish the number of cells in final reaction mixture, the stock concentration was divided by the molecular mass of the specific bacteria. The 7-log serial dilution (1:10) of the stock DNA was prepared in triplicate and the corresponding cell numbers were calculated in the final PCR reaction mixture.

Repeatability and Reproducibility

The precision of the PCR assays was evaluated for dilutions ranging from 5.46 × 105 gene copies per reaction down to 5.46 × 10−1 copy numbers. The dilutions were tested in four replicates in two separate PCR runs. The SD of the CT values of each concentration was then calculated by using Eqs 1 and 2. where is the mean CT value and n is the number of observations. The value obtained was used to calculate the coefficient of variation, CV, with Eq. 2. The intra-assay precision (repeatability) was assessed by calculating the coefficient of variation (CV%) for individual runs. The inter-assay precision (reproducibility) was calculated by determining the coefficient of variation (CV%) of both runs combined.

Ethical Clearance

The study did not involve any human or animal related issues. Therefore, we did not seek any ethical clearance in this study. Besides, the lab is facilitated with biosafety level II functions. The test and control strains of this study fall under the BSL II category.

Results

Physical Parameters of Primers

The physical parameters of the primers obtained are summarized in Table 3. Sequence quality and TM 12 bases at 3′ end of both forward and reverse primers, LC and length of forward primer, and CG% of reverse primer were all in the ideal range (see Table 3). All the others parameters were within the default range. The intra- and inter-run precision obtained has been summarized in Table 4. The coefficient of variation for the first replicate varied from 0.24 to 1.32 and for the second replicate the CV% ranged from 0.48 to 1.1. The CV% for the inter-run reproducibility varied from 1.08 to 3.79. The amplification plot and standard curve have been shown (Figures 1–4).
Table 4

Comparison of sensitivity of detection and precision of two replicate runs.

Replicate run 1
Replicate run 2
Efficiency = 89.161%
Efficiency = 97.374%
Slope = −3.612
Slope = −3.386
R2 = 0.975
R2 = 0.982
Copy numberSD (n = 4)Mean (n = 4)Coefficient of variation (CV%)SD (n = 4)Mean (n = 4)Coefficient of variation (CV%)Inter-assay CV%
5.46E1050.22295118.8061.1855330.19633717.901751.0967482.838649
5.46E1040.0445518.910.2355880.08938818.550250.4818711.084382
5.46E1030.09965422.73650.4383010.38278122.22151.7225731.68125
5.46E1020.34791527.265751.2760150.19051626.425750.7209471.932086
5.46E1010.17527931.0340.5647960.19653830.34750.6476231.321016
5.46E1000.2806134.677250.8092060.38250533.8641.1295331.558894
5.46E10−10.51750239.264671.3179840.33213136.7310.9042253.792876
Figure 1

Amplification plot (ΔRn vs Cycle) for testing the sensitivity and precision of the first replicate run.

Figure 4

Standard curve for the quantification of samples in second replicate run.

Comparison of sensitivity of detection and precision of two replicate runs. Amplification plot (ΔRn vs Cycle) for testing the sensitivity and precision of the first replicate run. Standard curve for the quantification of samples in first replicate run. Amplification plot (ΔRn vs Cycle) for testing the sensitivity and precision of the second replicate run. Standard curve for the quantification of samples in second replicate run.

Sensitivity and LOD

The LOD or analytical sensitivity was found to be 5.46 copies since among 8 replicates. The 5.46 was the lowest gene copies that were consistently detected. For higher dilution, i.e., 0.546 copy number, the assay failed to register a CT value in 2 of the 8 replicates.

Specificity

The assay registered CT values which ranged from 18.778 to 19.697 for the 4 V. cholerae strains and was detectable in the amplification plot (Figure 5). Two E. coli strains, EHEC and EIEC, had CT values of 35.073 and 38.439, respectively. The CT values for all other strains were undetermined. Strains which had CT values of less than 35 were considered as ompW positive. Hence, the assay was able to correctly detect V. cholerae and gave a negative result for all other strains, thus proving the assay was V. cholerae specific. The results have been summarized in Table 5.
Figure 5

Amplification plot (ΔRn vs Cycle) obtained for specificity test.

Table 5

Detection of .

Sr#.SpeciesCollection or isolation numberFunction of the strainsOriginCT valueompW presence
1Escherichia coli (E. coli)aATCC AN33859Test strainClinicalU
2E. coli EPECATCC B170Test strainClinicalU
3E. coli EAECATCC MG1214C2Test strainClinicalU
4E. coli ETECATCC MGL-IC1Test strainClinicalU
5E. coli EHECNF 9422Test strainClinicalU
6E. coliMMLATest strainClinicalU
7E. coli EIEC2 VTest strainClinical38.439
8E. coli ETECC600Test strainClinicalU
9E. coli EIECH2Test strainClinicalU
10E. coli EHECBH29Test strainClinical35.073
11Enterococcus faeciumT7Test strainEnvironmentalU
12E. faeciumB10Test strainEnvironmentalU
13E. faeciumB4Test strainEnvironmentalU
14Enterococcus faecalisT11Test strainEnvironmentalU
15E. faecalisB4PETest strainEnvironmentalU
16Salmonella spp.29Test strainFoodU
17Salmonella spp.36Test strainSoilU
18Salmonella spp.19 (b)Test strainFoodU
19Salmonella enteritidisATest strainEnvironmentalU
20Salmonella typhimuriumIfo-3313Test strainEnvironmentalU
21S. typhimuriumS1Test strainEnvironmentalU
22Vibrio parahaemolyticus1Test strainEnvironmentalU
23V. parahaemolyticus3Test strainEnvironmentalU
24Vibrio mimicus1Test strainEnvironmentalU
25V. cholerae serotype O1 CT+ATCC C6706Control strainClinical19.624+
26V. cholerae (VC) serotype O1 CT+ATCC N16961Control strainClinical19.324+
27VC serotype O1 CTATCC SA 317Control strainClinical19.697+
28VC serotype CT+ O139ATCC NIHC0270Control strainClinical18.778+
29V. cholerae non-O1 CTLab isolate-2P-16Test strainEnvironmental22.201+
30V. cholerae non-O1 CTLab isolate-2P-203Test strainEnvironmental21.329+
31V. cholerae non-O1 CTLab isolate-M-299Test strainEnvironmental23.706+

.

U, undetermined.

Amplification plot (ΔRn vs Cycle) obtained for specificity test. Detection of . . U, undetermined. In the melt curve (Figure 6), a single distinct peak was seen, indicating that all the PCR products had similar Tm values which was approximately 78.46°C. Agarose gel electrophoresis of SYBR green PCR products gave a single distinct band of about 191 bp (Figure 7). It could be concluded that neither secondary non-specific products nor primer dimers were formed.
Figure 6

Melt curve of SYBR green PCR products. The Y-axis represents the derivative reporter (−Rn) while x-axis represents the temperature (°C). The figure shows a melting temperature (31) of human ompW PCR products as 78.46°C.

Figure 7

Agarose gel electrophoresis of SYBR green PCR products. Lanes 1 and 2 (103 gene copy): Vibrio cholerae O1 ATCC N16961 and V. cholerae O139 ATCC NIHC0270, respectively; lanes 3 and 4 (104 copies): V. cholerae O1 ATCC N16961 and V. cholerae O139 NIHC0270 ATCC, respectively; lanes 5 and 6 (105 copies): V. cholerae O1 ATCC N16961 and V. cholerae O139NIHC0270ATCC, respectively; lanes 7 and 8 (106 copies): V. cholerae O1 ATCC N16961 and V. cholerae O139NIHC0270ATCC, respectively; lanes 9 and 10 (107 copies): V. cholerae O1 ATCC N16961 and V. cholerae O139NIHC0270ATCC, respectively; Lane 10 (M): molecular weight marker (100 bp DNA Ladder, Karl Roth, Germany), 11 no template control.

Melt curve of SYBR green PCR products. The Y-axis represents the derivative reporter (−Rn) while x-axis represents the temperature (°C). The figure shows a melting temperature (31) of human ompW PCR products as 78.46°C. Agarose gel electrophoresis of SYBR green PCR products. Lanes 1 and 2 (103 gene copy): Vibrio cholerae O1 ATCC N16961 and V. cholerae O139 ATCC NIHC0270, respectively; lanes 3 and 4 (104 copies): V. cholerae O1 ATCC N16961 and V. cholerae O139 NIHC0270 ATCC, respectively; lanes 5 and 6 (105 copies): V. cholerae O1 ATCC N16961 and V. cholerae O139NIHC0270ATCC, respectively; lanes 7 and 8 (106 copies): V. cholerae O1 ATCC N16961 and V. cholerae O139NIHC0270ATCC, respectively; lanes 9 and 10 (107 copies): V. cholerae O1 ATCC N16961 and V. cholerae O139NIHC0270ATCC, respectively; Lane 10 (M): molecular weight marker (100 bp DNA Ladder, Karl Roth, Germany), 11 no template control.

Discussion

We have developed a real-time assay with designed primers for the detection and quantification of V. cholerae. The assay was based on SYBR Green PCR Mastermix and targeted the ompW gene, which is present in all species of V. cholerae. Initially, the physical properties of primers were assessed, followed by validation of sensitivity, precision, specificity, and melt curve analysis. The LC describes nucleotide arrangement and composition of a sequence and the likelihood of PCR success of each primer. LC values of 80 and higher serve as excellent candidate primers. The primers developed had LC values of 89 and 95 for reverse and forward primers, respectively. Low-complexity regions such as Simple Sequence Repeats, imperfect direct or inverted repeats, triple-stranded DNA structures, and G/C quadruplexes (32) were unlikely to be formed if primers with high LC values are used. The parameter “Primer Quality” determines the possibility of primer dimer formation since dimers reduces the PQ value. The designed primers had PQ values of 87 and 93 for reverse and forward primers, respectively. Thus, these high values suggest that self-complementarity was not apparent. Two terminal C/G bases, recommended for increased PCR efficiency (33) were present in the designed primers. The efficiency of a PCR assay is the amount of DNA that is amplified in each cycle. An efficiency of 100% indicates the target DNA has been doubled. The efficiencies obtained for the replicates 1 and 2 were 89.16 and 97.37%, respectively. Generally, efficiencies ranging from 90 to 100% are considered to be satisfactory. Inadequate primer design, production of non-specific amplicons and primer dimers may be responsible for reduced efficiencies (34). This is, however, only an estimate of the PCR efficiency and a real test sample, such as food, may contain inhibitory substances that decrease the PCR efficiency (35). The precision of the assay was assessed by calculating both repeatability (intra-assay precision) and reproducibility (inter-assay precision). The coefficient of variation (CV%) for the repeatability ranged from 0.24 to 1.32 for both replicates. The CV% for the reproducibility varied from 1.08 to 3.79. The reproducibility is an important parameter since changed conditions such as different equipment and operators might affect the outcome. Pipetting and other human errors might account for poor precision. The precision usually increases with decreasing gene copy concentration (34) but this pattern was not observed for the developed assay. Retesting is required if the % CV of the PCR replicates exceeded 30% (36). All the CV% values for the assay were acceptable. Specificity is ability to detecting chosen gene in the presence of non-specific DNA (34). The specificity is an important parameter since, in clinical and food samples, DNA from a wide range of organisms might be present. The developed assay was able to correctly detect the 7 V. cholerae and gave CT values that ranged from 18.778 to 23.706. Though the assay did not give any CT values for the 22 non-V. cholerae strains (Table 5), two E. coli strains—E. coli EIEC 2V, E. coli EHEC BH29 showed CT values of 38.439 and 35.073 respectively. Since the cut point CT value for ABI StepOne real-time machine is between >8 and <35, these CT values of E. coli strains can be considered as negative results. The LOD is the lowest gene copy number that the assay is able to consistently detect (37). A satisfactory LOD is 10 gene copies per reaction, and the assay was able to meet this requirement by consistently detecting 5.46 copies of the gene. The LOD sheds light on how sensitive the assay is. The assay was evaluated for its ability to detect V. cholerae O1/O139 and non-O1/non-O139 in food and environmental samples over different dilutions. It was observed that drinking water, pond water, shrimp, and boiled rice spiked with these strains registered CT values that ranged from 16.33 to 26.78 (Table 6).
Table 6

Evaluation of the assay using direct environmental samples.

#SLStrainDilutionCTSample type
1Vibrio cholerae CT+ O13910516.88Spiked drinking water
2V. cholerae CT+ O110516.87Spiked drinking water
3V. cholerae CT+ O110420.18Spiked drinking water
4V. cholerae CT+ O110324.67Spiked drinking water
5V. cholerae CT non-O1/non-O13910420.15Spiked drinking water
6V. cholerae CT non-O1/non-O13910323.97Spiked drinking water
7UUnspiked drinking water
8UUnspiked drinking water
9V. cholerae CT+ O13910516.84Spiked pond water
10V. cholerae CT+ O110516.84Spiked pond water
11V. cholerae CT+ O110420.85Spiked pond water
12V. cholerae CT+ O110326.81Spiked pond water
13V. cholerae CT non-O1/non-O13910420.29Spiked pond water
14V. cholerae CT non-O1/non-O13910324.83Spiked pond water
15UUnspiked pond water
16UUnspiked pond water
17V. cholerae CT+ O13910516.75Spiked boiled rice
18V. cholerae CT+ O110516.37Spiked boiled rice
19V. cholerae CT+ O110420.67Spiked boiled rice
20V. cholerae CT+ O110324.19Spiked boiled rice
21V. cholerae CT non-O1/non-O13910420.34Spiked boiled rice
22V. cholerae CT non-O1/non-O13910326.78Spiked boiled rice
23UUnspiked boiled rice
24UUnspiked boiled rice
25V. cholerae CT+ O13910516.75Spiked shrimp
26V. cholerae CT+ O110516.33Spiked shrimp
27V. cholerae CT+ O110421.00Spiked shrimp
28V. cholerae CT+ O110323.97Spiked shrimp
29V. cholerae CT non-O1/non-O13910420.37Spiked shrimp
30V. cholerae CT non-O1/non-O13910325.36Spiked shrimp
31UUnspiked shrimp
32UUnspiked shrimp
33UNo template control
34V. cholerae CT+ O110610.13Positive control
Evaluation of the assay using direct environmental samples. To assess if the assay is affected by interference from non-target DNA, unspiked drinking water, pond water, shrimp, and boiled rice were examined by qPCR. Before this assessment, absence of V. cholerae was confirmed. Results showed that no CT values were obtained for these unspiked food and water samples. Thus, this assay is suitable for detecting both V. cholerae O1/O139 and non-O1/non-O139 in food and environmental samples since non-specific amplification was not seen in negative controls. Melt curve analysis was done to assess whether secondary products such as primer dimers or non-specific products were formed. The melt curve gave a single peak with a Tm value of about 78.46°C. Agarose gel electrophoresis of SYBR Green PCR products gave a single band at 191 bp. These results suggest that the amplification was specific and only one type of amplicon was produced. Non-specific products hamper the efficiency of the assay and affect precision. Non-specific products were absent suggests that the primer design was adequate. The primers were specific and intended amplicons were produced. We can conclude the primers were not complementary to one another since primer dimers were not produced. Many assays have been developed for detection and quantification of V. cholerae (19–24). Though impressive none of these presented any statistical figures (such as coefficient of variation) which would inform us about the reproducibility and repeatability. Many of these assays did not undergo melt curve analysis or the PCR products were not subjected to agarose gel electrophoresis and hence we do not know their status regard the formation of non-specific products. Since they are multiplex in nature, they add to the cost and hence are not suitable for purposes. For instance, during quality control testing of seafood where only quantification is required to see if the levels in food is acceptable to the standards set by the governing bodies. An extremely impressive multiplex real-time assay has been developed by Bliem and colleagues (38). The assay is multiplex in nature, and hence the use of multiple primers might add to the cost. The assay developed by Bliem and colleagues had inter-assay variance of 2–28% for ompW. But our assay, which utilizes a primer for ompW gene with different sequence, was more precise with inter-assay variance of 1.08–3.79. Future objectives of our study might include the optimization of this assay to detect and quantify V. cholerae in food, water, and clinical samples. Some samples might contain inhibitory substances that decrease PCR efficiency (35) and hence optimization of the methods involving sample processing, DNA extraction, and assay itself might be required.

Author Contributions

PJ and AB are the principal investigators of the project and contributed to the manuscript revision and final version approval to be published. RR conducted the study in the laboratory, performed statistical analysis, and wrote the first draft of the manuscript. ST contributed to revising the manuscript critically for important intellectual content. JF contributed to the study designing, implementation, manuscript reviewing, and revising it critically. The authors have agreed to be accountable for answering questions related to the accuracy and integrity of the work appropriately done.

Conflict of Interest Statement

The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
  34 in total

Review 1.  Vibrio cholerae O139 Bengal: odyssey of a fortuitous variant.

Authors:  Thandavarayan Ramamurthy; Shinji Yamasaki; Yoshifumi Takeda; Gopinath Balakrish Nair
Journal:  Microbes Infect       Date:  2003-04       Impact factor: 2.700

Review 2.  The real-time polymerase chain reaction.

Authors:  Mikael Kubista; José Manuel Andrade; Martin Bengtsson; Amin Forootan; Jiri Jonák; Kristina Lind; Radek Sindelka; Robert Sjöback; Björn Sjögreen; Linda Strömbom; Anders Ståhlberg; Neven Zoric
Journal:  Mol Aspects Med       Date:  2006-02-03

3.  Environmental Vibrio cholerae O139 may be the progenitor of outbreak of cholera in coastal area of Orissa, eastern India, 2000: molecular evidence.

Authors:  Hemant Kumar Khuntia; Bibhuti Bhusan Pal; Prem Kumar Meher; Guru Prasad Chhotray
Journal:  Am J Trop Med Hyg       Date:  2008-05       Impact factor: 2.345

Review 4.  Pathogenic vibrios in environmental, seafood and clinical sources in Germany.

Authors:  Stephan Huehn; Christin Eichhorn; Sara Urmersbach; Janina Breidenbach; Silke Bechlars; Nadja Bier; Thomas Alter; Edda Bartelt; Christina Frank; Boris Oberheitmann; Florian Gunzer; Nicole Brennholt; Simone Böer; Bernd Appel; Ralf Dieckmann; Eckhard Strauch
Journal:  Int J Med Microbiol       Date:  2014-07-25       Impact factor: 3.473

5.  Viable but non-culturable Vibrio cholerae O1 revert to a cultivable state in the human intestine.

Authors:  R R Colwell; P Brayton; D Herrington; B Tall; A Huq; M M Levine
Journal:  World J Microbiol Biotechnol       Date:  1996-01       Impact factor: 3.312

6.  A high proportion of Vibrio cholerae strains isolated from children with diarrhoea in Bangkok, Thailand are multiple antibiotic resistant and belong to heterogenous non-O1, non-O139 O-serotypes.

Authors:  A Dalsgaard; A Forslund; L Bodhidatta; O Serichantalergs; C Pitarangsi; L Pang; T Shimada; P Echeverria
Journal:  Epidemiol Infect       Date:  1999-04       Impact factor: 2.451

7.  Cluster of cases of clinical cholera due to Vibrio cholerae 010 in east Delhi.

Authors:  S Rudra; R Mahajan; M Mathur; K Kathuria; V Talwar
Journal:  Indian J Med Res       Date:  1996-02       Impact factor: 2.375

8.  Detection of toxigenic Vibrio cholerae with new multiplex PCR.

Authors:  Jalil Fallah Mehrabadi; Parisa Morsali; Hamideh Rohani Nejad; Abbas Ali Imani Fooladi
Journal:  J Infect Public Health       Date:  2012-05-01       Impact factor: 3.718

9.  Viability kinetics, induction, resuscitation and quantitative real-time polymerase chain reaction analyses of viable but nonculturable Vibrio cholerae O1 in freshwater microcosm.

Authors:  A Mishra; N Taneja; M Sharma
Journal:  J Appl Microbiol       Date:  2012-03-13       Impact factor: 3.772

10.  A multiplatform real-time polymerase chain reaction detection assay for Vibrio cholerae.

Authors:  Katja A Koskela; Pirjo Matero; Janet M Blatny; Else M Fykse; Jaran Strand Olsen; Lasse O Nuotio; Simo Nikkari
Journal:  Diagn Microbiol Infect Dis       Date:  2009-09-02       Impact factor: 2.803

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1.  Spatiotemporal Dynamics of Vibrio cholerae in Turbid Alkaline Lakes as Determined by Quantitative PCR.

Authors:  Rupert Bliem; Georg Reischer; Rita Linke; Andreas Farnleitner; Alexander Kirschner
Journal:  Appl Environ Microbiol       Date:  2018-05-17       Impact factor: 4.792

  1 in total

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