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Journal of Clinical Microbiology, February 2009, p. 445-450, Vol. 47, No. 2
0095-1137/09/$08.00+0 doi:10.1128/JCM.01442-08
Copyright © 2009, American Society for Microbiology. All Rights Reserved.
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Laboratory of Molecular Biology and Microbiology,1 Food Safety and Technology Group, Instituto Tecnológico Agrario de Castilla y León (ITACyL), Valladolid, Spain,3 Food Research Institute, Bratislava, Slovakia2
Received 28 July 2008/ Returned for modification 27 October 2008/ Accepted 11 November 2008
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The principal sources of M. agalactiae infection are the ingestion of contaminated feed, water, or milk and the urine, feces, and nasal or ocular liquids of infected animals. Ewes can be infected through the udder, and lambs can be infected by the consumption of colostrum. Thus, it is recommended that newborn animals be removed from the dam immediately after birth and fed only by using pasteurized colostrum. The period of incubation of this syndrome varies between 7 and 56 days. Most cases of infection occur in the summer, during birth and peak lactation periods. Several mycoplasmas can be isolated from milk and blood for a short period of time during the infectious process (5).
The routine analysis method used by diagnostic laboratories for identifying M. agalactiae in clinical samples or milk tanks is based on microbiological culture in selective enrichment media including antibiotics in moist anaerobic chambers (5% CO2) for 5 to 7 days. However, this method represents a time-consuming and complicated process, as mycoplasmas grow very slowly. Mycoplasmas form typical "fried-egg"-shaped small colonies that, although visible under the microscope, are very difficult to enumerate. Moreover, these analyses need to be complemented with species identification by biochemical or immunofluorescence tests, making this an expensive procedure. Alternative DNA amplification-based methods for directly detecting this animal pathogen in milk or in other fluids have been devised to overcome this problem. There are several methods that identify M. agalactiae by PCR. Some of these methods are based on amplification of the 16S rRNA gene (2, 4, 12, 13). However, 16S rRNA gene sequences in M. agalactiae and M. bovis share 99.8% similarity, affecting the specificity of methods based on the amplification of this gene. Other diagnostic strategies are based on the amplification of unknown sequences (6, 27, 28) or specific genes, like uvrC (26) or the mb-mp81 gene encoding the membrane protein P81 (9). However, the last two methods are based on the PCR-restriction fragment length polymorphism technique, which is more laborious and time-consuming and is not quantitative.
The absolute quantification of contaminant microbiota by real-time quantitative PCR (Q-PCR) is becoming increasingly common for diagnostic purposes in clinical and food microbiology (24). This technique provides a higher specificity and analytical sensitivity and reduces the risk of cross-contamination; at the same time, this technique is faster than conventional PCR and is totally adapted to automation. Lorusso and coworkers (15) have developed a real-time PCR detection method using molecular beacon chemistry. This method targets a 117-bp region of the M. agalactiae mb-mp81 gene encoding the membrane lipoprotein P81, which is also present in the M. bovis genome. There is a general consensus that the addition of an internal amplification control (IAC) in each reaction mixture, to assess the potential effects of PCR inhibitors or the malfunction of thermocyclers, must be mandatory. An IAC is a chimeric nontarget DNA fragment that is present in every reaction mixture and can be coamplified with the target sequence (11). However, the method described by Lorusso and coworkers incorporates an alternate template (canine parvovirus type 2 [CPV-2] DNA), which is run in separate PCR wells (15).
It is clearly convenient for diagnostic laboratories to have a large battery of alternative analytical methods for the quantitative detection of M. agalactiae, due to the economic impact and public health relevance of this pathogen. An alternative method can be adopted by diagnostics laboratories only if the method has been evaluated and validated with samples collected from animals. Thus, in this study, we report the design and assessment of a real-time PCR assay for the quantitative detection of M. agalactiae and its evaluation and in-house validation in the analysis of milk samples. This method includes an IAC that is coamplified in the same reaction mixture to assess the PCR performance of each reaction, thus ensuring the diagnostic efficiency of this method. Finally, we evaluated the performance of the assay with natural samples, i.e., sheep milk samples. We tested 373 natural, raw sheep milk samples from refrigerated tanks from different sheep farms and 424 milk samples from individual sheep from a flock found positive for this pathogen.
Design and optimization of the M. agalactiae-specific duplex p40-IAC Q-PCR assay. The assay targets an M. agalactiae species-specific region of the p40 gene (GenBank accession no. AJ344229) encoding an immunodominant adhesin that plays a key role in cytoadhesion of M. agalactiae (8). Bacterial adhesion is a key mechanism of mycoplasma virulence, and the protein P40 displays a strong and persistent signal in response to antibodies; thus, the M. agalactiae p40 gene has been proposed as a good candidate for the development of future diagnostic assays (8). The p40 gene sequence displayed regions that were 100% specific to M. agalactiae by nucleotide sequence comparison using BLAST-N version 2.2.14 (National Centre for Biotechnology Information; www.ncbi.nlm.nih.gov). We selected M. agalactiae-specific regions that were identical among various isolates of M. agalactiae by aligning all p40 sequences available in public databases, using a CLUSTALW multiple-alignment tool (EMBL, European Bioinformatics Institute; www.ebi.ac.uk); this was done to ensure no variation in sequences occurred as a result of different strains. Subsequently, we designed the PCR primers MAP40127F, MAP40235R, and MAP40160P by using Primer Express version 3.0 software (Applied Biosystems, Foster City, CA) (Table 1). These PCR oligonucleotides amplify a 109-bp fragment from the coding sequence of the M. agalactiae p40 gene corresponding to positions 127 to 235. The specificity of the oligonucleotides was confirmed in silico using BLAST-N version 2.2.14 software, as none of the selected oligonucleotides or amplicon sequences showed any similarity outside of the M. agalactiae-specific region.
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TABLE 1. Oligonucleotides used in this study
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The M. agalactiae-specific PCR oligonucleotides were optimized for Q-PCR assays in which 1 ng of DNA from M. agalactiae strain ATCC 35890 was used as a template. The assays were carried out in a reaction mixture volume of 20 µl containing 1x Universal PCR Master Mix (Applied Biosystems). We used a model 7500 real-time PCR system platform (Applied Biosystems) with the following program: 2 min at 50°C, 10 min at 95°C, and 50 cycles of 15 s at 95°C and 1 min at 60°C. Optimal conditions (300 nM for primers MAP40127F and MAP40235R and 200 nM for the 6-carboxyfluorescein [FAM]-labeled MAP40160P probe) were the minimum primer and probe concentrations giving the lowest cycle threshold (CT) value and the highest fluorescence intensity for a normalized reporter value. The optimal IAC probe concentration was determined experimentally by carrying out Q-PCRs in the presence of 10,000 IAC molecules, no M. agalactiae DNA, 200 nM FAM-labeled p40 probe and with various amounts (from 25 to 250 nM) of VIC-labeled IAC probe (Table 1). The minimum probe concentration that did not result in an increase in CT values was 100 nM. As excess IAC may inhibit the target-specific reaction, Q-PCRs were also carried out in the presence of various amounts of IAC (10,000, 1,000, 100, and 10 molecules per reaction) and various amounts of M. agalactiae DNA (equivalent to approximately 1 x 104, 1 x 103, 100, 10, and 1 genome equivalents, in which there are 0.88 Mb per genome, according to Sirand-Pugnet and coworkers [25], and one genome equivalent corresponds to 0.972 fg of M. agalactiae DNA). The maximum amount of IAC with no inhibitory effect on the p40-specific FAM signal was 100 copies of chimeric DNA.
Selectivity of the p40-IAC assay. The capacity of the p40-IAC Q-PCR assay to discriminate between target and nontarget bacteria was assessed using 1 ng of genomic DNA from various sources, as follows: 75 Mycoplasma species, including 26 M. agalactiae isolates (24 of them were sheep milk isolates) and 49 other Mycoplasma species; and 110 strains from 39 non-Mycoplasma species, including various genera frequently found in milk and dairy products (see Table S1 and S2 in the supplemental material). Bacterial DNA was isolated using a QIAamp DNA minikit (Qiagen, Hilden, Germany). The p40-IAC Q-PCR assay was inclusive for M. agalactiae and 100% exclusive for nontarget bacteria: all M. agalactiae strains tested gave a positive p40 signal, whereas none of the 138 nontarget bacteria produced a positive signal. All reactions generated a positive IAC (VIC) signal, excluding the possibility that the absence of a p40 (FAM) signal observed for non-M. agalactiae isolates was due to PCR failure.
Analytical sensitivity and quantification range of the p40-IAC Q-PCR assay. The achievement of low detection and quantification limits is a critical aspect in the design of molecular diagnostic methods for microbial pathogens in clinical and environmental samples. The detection and quantification limits of the PCR assays were determined by using genomic DNA isolated from M. agalactiae strain ATCC 35890. Three independent PCRs were performed, with a range of DNA concentrations equivalent to approximately 1 x 106, 1 x 105, 1 x 104, 1 x 103, 1 x 102, 10, and 1 target molecules. Table 2 shows the mean CT values for a total of 9 PCR replicates (30 replicates for 10 and 1 genome equivalents) from three independent experiments. Positive amplification of all PCR replicates of each DNA dilution was achieved if 10 or more target molecules were present, and 1 target molecule could be detected in at least 16 of the 30 replicates (Table 2). PCR efficiency is related to the slope of the linear regression curve calculated over a 6-log range (down to 10 target molecules) and was similar to that of the theoretical optimum of –3.32 (p40, –3.3216, efficiency = 100%; p40-IAC, –3.3416, efficiency = 99.2%). The linearity of calibration curves represented by the regression coefficient (R2) showed values close to 1 (p40, 0.9921; p40-IAC, 0.9931), indicating that the assay was highly linear. These results are similar to those for other Q-PCR methods used for other bacterial and eukaryotic organisms (10, 19-21, 23).
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TABLE 2. Detection and quantification limits of Q-PCR assay with genomic DNA from M. agalactiae strain ATCC 35890a
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TABLE 3. Quantitative detection of M. agalactiae in raw sheep milka
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If the sample tested PCR positive, we then assayed DNA extracted directly from milk without culture (Fig. 1). In 373 tank milk samples, a total of 57 samples tested positive by the p40-IAC Q-PCR method after culture (Table 4). Of 57 samples, 31 were identified as Mycoplasma positive by microscopy observation (none was PCR positive for the M. mycoides cluster or M. putrefaciens, thus confirming that they were only M. agalactiae); these samples also tested positive with both of the PCR methods after culture. In addition, five samples, which could not be confirmed by microscopy observation, tested positive with both of the PCR methods. An additional 21 samples tested positive only by our real-time PCR detection system. Thus, the positivity of M. agalactiae in 373 milk samples found by the p40-IAC Q-PCR method was 15.28% (29 samples had a CT value of <25, 19 samples had CT values of 25 to 34, and 9 had CT values of
35) (Table 4). However, the positivity of M. agalactiae using microscopy observation or conventional PCR (27) only was 9.65% or 8.31%, respectively. These results indicated that these two procedures (i.e., microscopy observation and the conventional PCR) (27) underestimate the actual presence of M. agalactiae in natural samples by almost twofold (1.58 and 1.85 times, respectively) in comparison with our assay. Among the samples extracted directly from milk, 44 samples tested positive by the p40-IAC Q-PCR assay developed for this study (all of the samples were also positive after culture) (Table 4). However, the 13 samples not detected prior to incubation exhibited low positive signals when analyzed after culture (CT values above 32), suggesting very low M. agalactiae numbers in milk after the enrichment and, thus, probably below the limit of detection in the moment of direct bacterial DNA extraction prior to the enrichment. By contrast, conventional PCR (27) detected only 20 positive samples prior to the 6-day cultivation (Table 4). Thus, our p40-IAC Q-PCR assay was more sensitive, particularly if DNA was extracted directly from milk. Consequently, p40-IAC Q-PCR was capable of detecting realistic levels of M. agalactiae contamination in milk samples but was faster and the levels were quantifiable.
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FIG. 1. Raw sheep milk sample analysis scheme. Milk samples (797) were received, and 100 µl was cultured in 10 ml of specific microbiological media (1, MBG Mycoplasma broth base with supplement G from OXOID; and 2, MA1A medium from Mycoplasma Experience) at 37°C in 5% CO2 chambers for 6 days. DNA was then extracted using thermolysis (3) and analyzed by PCR using the p40-IAC Q-PCR assay and the method described by Tola and coworkers (27). If the PCR tested positive, DNA was directly purified from 25 ml of milk to demonstrate direct detection by avoiding cultivation and to improve the analytical performance.
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TABLE 4. Detection of M. agalactiae in naturally contaminated milk samplesa
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In conclusion, we describe a reliable and sensitive real-time PCR-based method for quantifying M. agalactiae cells in raw sheep milk taken directly from the refrigeration tanks from farms or from animals. Our method incorporates an IAC to assist in the interpretation of the results obtained. This method provides a significant quantification capacity, as defined by its wide dynamic quantification range (at least 6 orders of magnitude), linearity (R2 > 0.9921), PCR efficiency (E > 0.992), and quantification limit (down to 10 M. agalactiae genome equivalents). If the assay is combined with simple detergent and enzymatic treatments of samples before centrifugation and nucleic acid extraction, it provides a highly effective quantitative analysis for large volumes of milk. It is able to detect 250 cells in 25 ml of raw sheep milk, with an excellent accuracy relative to that of the reference microbiological method. We evaluated and validated the Q-PCR assay's capacity to detect M. agalactiae in 797 raw sheep milk samples and showed an average positivity for M. agalactiae of 15.28%. This method therefore provides a promising alternative to procedures currently recommended by the World Organization for Animal Health for the rapid, sensitive, and quantitative detection of M. agalactiae in milk, which may be easily adopted by animal health laboratories.
K.O. received a National Scholarship of the Slovak Republic Government and a FEMS research fellowship. L.L.-E. received a Ph.D. studentship from the Instituto Nacional de Investigación y Tecnología Agraria y Alimentaria (INIA), and M.H. holds a contract from the INIA, cofunded by the European Social Fund (ESF).
Published ahead of print on 19 November 2008. ![]()
Supplemental material for this article may be found at http://jcm.asm.org/. ![]()
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