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* Faculty of Food Engineering and Biotechnology, Technion, 3200 Haifa, Israel
Dept. of Genetics, The Hebrew University of Jerusalem, 91904 Jerusalem, Israel
National Mastitis Reference Center, Kimron Veterinary Institute, 50250 Bet Dagan, Israel
National Service for Udder Health and Milk Quality, Israel Cattle Breeders Association, 38900 Caesaria, Israel
Corresponding author:
Y. Kashi; e-mail:
kashi{at}tx.technion.ac.il.
| ABSTRACT |
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Abbreviation key: CAMP = Christie, Atkins and Munch-Peterson
Key Words: Streptococcus agalactiae bovine mastitis polymerase chain reaction diagnosis
| INTRODUCTION |
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Because of its subclinical manifestation and high infectivity, control of S. agalactiae requires early diagnostic identification of infected cows. At present, a bacteriological screen of each milking cow is performed usually every 12 to 18 mo, using standard methods. Clearly, this is not sufficient for early detection. As an alternative, we attempted to diagnose S. agalactiae in samples taken from the bulk milk collection tank, with the intent of identifying an infection with its first appearance in the herd. However, trials showed that using standard bacteriological procedures as described by the National Mastitis Council (Hogan.et al.,1999 ), we were only able to identify a single infected animal in bulk milk of 10 to a maximum of 50 cows (A. Saran, unpublished data). This is far below the level of sensitivity required to identify a single infected animal or quarter in the more usual Israeli herd of 300 or more milking cows. In addition, the current methods are labor intensive and take at least 2 to 3 d to yield a positive result. Thus, a less costly and more rapid diagnostic test for S. agalactiae is needed, one that is highly sensitive and can be applied to bulk milk samples.
Recently, a number of PCR-based methods for diagnosis of group B streptococci have been presented (Hall et al., 1995; Ahmet et al., 1999; Bäckman et al., 1999; Ke et al., 2000). Of particular interest in our context are studies based on rRNA sequences (Jayarao et al., 1992; Jensen et al. 1993; Gürtler and Stanisich, 1996; Forsman et al., 1997). In this study, we describe an efficient PCR method for specific and sensitive detection of S. agalactiae in raw milk based on the DNA sequence of the 16S rRNA subunit.
| MATERIALS AND METHODS |
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DNA Extraction
DNA was extracted from bacterial cultures by incubating a loopful of bacterial colony with lysozyme and proteinase K, followed by extraction with phenol then chloroform:isoamyl alcohol, and ethanol precipitation according to Jersek et al. (1996).
DNA extraction from milk was according to protocol adapted specifically for this purpose: Put 1 ml of raw milk to an Eppendorf tube. Spin down at 14,000 rpm (20,000 x g) for 2 min. Discard the supernatant. Resuspend and wash with Tris-EDTA until a clear solution is obtained. Wash once with PCR buffer. Resuspend in PCR buffer (100 µl). Add lysozyme to final concentration of 1 mg/ml. Let stand for 15 to 20 min at room temperature. Add proteinase K to final concentration of 200 µg/ml. Incubate at 56°C for 30 to 60 min. Boil for 15 min. Centrifuge at 14,000 rpm (20,000 x g) for 45 s, to pellet aggregates and transfer the upper liquid phase to a new test tube.
Primer Design
To facilitate the design of primers that are highly specific to S. agalactiae for clear and repeatable diagnostic amplification, the examined 16S rRNA subunit sequence was aligned [using GCG Pileup and Pretty programs (GCG Wisconsin package)] across 11 streptococcal strains (Genbank accession numbers: AB023574, AF135453, AF088900, AF015928, AB002517, AF076028, AB023576, AF003932, AF009494, AF104675, AJ243965).
The examined streptococcal 16S rRNA sequences are the ones that are likely to be in cows milk and for which rRNA sequences are known. The consensus sequence was determined and the alignment was examined to identify regions for which homology was absent or only partial (data not shown). These regions were then examined to identify sequences unique to S. agalactiae. Emphasis was placed on identifying unique regions in the 16S rRNA subunit sequence characterized by multiple nucleotide differences with respect to the consensus and other streptococcal strains. In this way, two main polymorphic sites in the 16S rRNA were identified. At these two sites, primers V1 and V2 were designed to be specific for the S. agalactiae sequences. One of these sites was previously identified and used for specific detection of Streptococcus B (Wang et al.,1999; Bentley and Leigh, 1995).
In addition, two sets of positive control primer pairs were also designed. Their function was to identify false negatives obtained with primers V1 and V2. When negatives result from some fault in the amplification reaction, the positive controls would also not give an amplification product. The first set of positive controls, primer pair C1 and C2, consisted of two fully conserved streptococcal primer sequences. These are intended to react with the Streptococcus spp. that are normally present in raw milk. The second set, primers BMC1 and BMC2, were prepared from a sequence within the bovine mitochondrial Cytochrome-B gene. These are intended to react with the bovine somatic cells that are normally present in milk. The three sets of primer pairs are shown below.
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The PCR
The PCR reaction mixture contained 2.5 µl of 10 x Taq polymerase buffer (1.5 mM MgCl); 1.0 µl of forward primer (10 µM); 1.0 µl of reverse primer (10 µM); 0.2 µl of dNTP (25 mM), 0.1 µl of Taq polymerase (0.25 u); 5 µl of DNA (50 to 100 ng/µl); add ddH2O (sterile) to total volume 25 µl. The reaction was carried out in a PCR thermocycler (HYBAID Omn-E), as follows: 94°C for 4 min; five cycles of 94°C, Tm°C and 72°C for 45 s each step; 20 cycles of 94°C, (Tm – 4)°C, 72°C for 45 s each step; and a step of 72°C for 5 min, at the end of the reaction. PCR products were run on agarose gel (1.8 to 2.0%) and visualized by EtBr 0.005%.
DNA Sequencing
DNA sequencing was by the BigDyeTM Terminator Cycle Sequencing Kit (Perkin Elmer) with AmliTaq Polymerase according to manufacturers instructions using ABI Prizm 310 automatic sequencer (Perkin Elmer).
DNA Sequence Analysis
We compared Genbank sequences or sequences obtained in the course of this study to identify conserved and variable regions with the GCG Pileup and Pretty programs (GCG Wisconsin package). Sequences were screened against the universal gene bank using the BLAST procedure of the NCBI website (www.ncbi.nlm.nih.gov).
Sensitivity Tests
Sensitivity of the PCR assay for presence of S. agalactiae was determined as follows. A series of concentrations of S. agalactiae in saline was prepared by 10-fold dilution of a culture of S. agalactiae. Of each concentration, three samples were taken: one for plate counting, one for immediate PCR diagnostics, and one for PCR diagnostics following overnight selective enrichment. Both series of test tubes for PCR diagnostics were subjected to DNA extraction followed by the specific S. agalactiae PCR reaction using V1 and V2 primers. Sensitivity was determined by the calculated number of colony-forming units present in the test tube of highest dilution for which a recognizable amount of PCR product was obtained.
A second sensitivity test was implemented to determine the ability to detect a single infected quarter or cow (four quarters) diluted with milk from uninfected cows in a bulk tank. For this purpose, milk from a known infected cow was progressively diluted with milk from a known uninfected cow. The diluted samples were subjected to selective enrichment, DNA extraction, and diagnostic PCR as above. Sensitivity was determined by the dilution factor in the test tube of highest dilution for which a recognizable amount of PCR product was obtained. The dilution factor was taken to represent the herd size in which a single infected cow (four quarters) could be detected in a sample from a bulk milk tank; one fourth of this herd size represented the herd size in which a single infected quarter could be detected.
| RESULTS |
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The two S. agalactiae variable region sequences were then screened against the universal gene bank as described in Methods. There was complete homology to six strains of S. agalactiae (of bovine and human origin) whose 16S rRNA sequence was found in Genbank. In addition, there was complete homology to S. difficile. The two variable regions did not show homology to any known bovine sequences, including the 18S rRNA bovine sequence.
Within the two variable regions, primers V1 and V2 were designed that were specific to the S. agalactiae sequence. In addition, two fully conserved primer sequences, C1 and C2, flanking the pair of variable regions were also designed.
To confirm the conservation of the unique sequences V1 and V2 in all bovine strains of S. agalactiae, a 200-bp fragment containing both variable regions was amplified (using the flanking C1 and C2 primers) in seven isolates of S. agalactiae obtained in the course of four independent outbreaks in Israel in the years 1990 to 2000 and one strain from the ATCC collection (Table 1
). The 200-bp fragment was sequenced and found to be identical in all tested strains (data not shown).
Figure 1
shows amplification products with S. agalactiae and with a series of other streptococcal strains and E. coli, using the V1 and V2 primer pairs and the C1 and C2 primer pairs in separate reactions. The single V1-V2 product was obtained only with S. agalactiae, while the C1-C2 product was obtained with all streptococci strains, but not with E. coli. Primer pairs C1-V2 and V1-C2 also gave products with S. agalactiae alone, and not with any of the other streptococci strains (data not shown).
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Using the above infected and uninfected samples, we implemented a study simulating a sample from a milk tank with one infected cow in the herd by appropriate dilution of the milk sample of an infected cow with milk of an uninfected cow. The results show that the infected cow could readily be identified at the equivalent of one infected cow (four quarters) in a herd of 500, or one infected quarter in a herd of 125 (data not shown). Because 1:500 was the limit dilution used in this trial, it is possible that higher dilutions would have been detected as well.
| DISCUSSION |
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The aim of this study was to develop a PCR-based system for a highly sensitive, low cost, rapid, and specific identification of S. agalactiae in milk. Our results, indeed, show high sensitivity and specificity of S. agalactiae identification using primers V1 and V2, specific to 16S rRNA. All S. agalactiae isolates and all S. agalactiae sequences in the Genbank had identical V1-V2 primer sequences. Furthermore, with the exception of S. difficile, found to be identical to S. agalactiae in these regions, Genbank screening did not uncover these primer sequences in any other organism. Streptococcus difficile belongs to Group B streptococci, and is considered serologically to be a strain of S. agalactiae. However S. difficile is a pathogen of cold-blooded species such as fish and frogs, and is not likely to be a source of infection in cows (Vandamme et al., 1997). All S. agalactiae isolates tested produced an amplification product with the V1-V2 specific primers; none of the other streptococcus strains included in the present study did so.
In a field test of the procedure on an outbreak of S. agalactiae occurring in a herd in Israel during the course of this study, the V1-V2 primer pair was tested on a set of milk samples taken directly from known infected and noninfected cows. In none of the cases did the V1-V2 primer pair give a positive reaction for the uninfected cows. Within the infected cows, V1-V2 primers gave a positive reaction for all cases but one. The exceptional case was shown by the positive controls to be due to general failure of the PCR reaction in this sample and was found positive on reexamination. Thus, the results of the PCR method were completely specific and consistent with those of the classical bacteriological methods. The PCR procedure did not give any false-positive or false-negative reactions.
Two series of sensitivity tests were implemented. In the first, S. agalactiae were added directly to milk samples in decreasing concentrations. The results showed that immediate PCR amplification from milk could identify initial dilutions of 104 to 105 cfu/ml, while—after overnight selective enrichment—PCR amplification could identify initial dilutions of as few as 1 cfu/ml. In the second series, a milk sample from an infected cow was diluted with milk from an uninfected cow. The results showed that after overnight incubation, PCR amplification could, at the least, identify the equivalent of one infected quarter in bulk milk of 125 cows or one infected cow (four quarters) in bulk milk of 500 cows. These results confirm the high sensitivity of the procedure.
A variety of technical causes can lead to failure of a PCR amplification reaction. These include, for example, the DNA extraction step, faulty composition of the PCR mix, or the use of inactive polymerase enzyme. Because, in a field situation, the majority of reactions are expected to be negative, it is essential to include positive controls to avoid false negatives that are due to failure of the amplification procedure for any of the above or other reasons. Absence of the control product will indicate a technical problem in the process and will avoid a false-negative conclusion. To facilitate diagnostic field application, therefore, two sets of positive control primers were developed. One pair, C1-C2, was chosen to react with all streptococci strains, some of which are normally present in all milk samples. A second pair, BMC1-BMC2, was chosen to react with bovine mitochondrial DNA, which is present in all milk cells by virtue of their SCC. In the field test situation mentioned above, the positive controls were tested on a set of milk samples taken directly from 11 infected and six uninfected cows, after selective enrichment. In one case as noted, failure to get a reading with positive controls prevented a false negative reading by the V1-V2 pair. In a second exceptional case, the BMC1-BMC2 pair did not give a product even on retesting. In this exceptional case, we attributed the lack of BMC1-BMC2 product to degradation of mitochondrial DNA by the overnight enrichment incubation. We believe that the enrichment period can be minimized to a few hours, without reducing the methods sensitivity, which should solve this problem as well as reduce the time needed for the whole method of detection. In retrospect, the incubation step may not even have been necessary in this case, because samples were taken directly from infected cows rather than from a highly diluted bulk milk tank.
Compared with the time-consuming and costly procedures currently used to diagnose S. agalactiae, the PCR-based methodology presented here is highly sensitive and requires only a single reaction followed by product analysis. Cost of materials and basic equipment to implement PCR diagnosis is low. Automated equipment is available for part and possibly the entire procedure, but such equipment is rather expensive. With automation, the marginal costs of a single test are very low, allowing widespread use of preventive screening.
The method we developed here worked well in the laboratory and performed as expected in the single field test situation examined. It is well suited for central, regional, or national milk test laboratories. Large scale implementation of the procedure will clearly require further validation of its ability to identify an infected herd on the basis of bulked milk, and of its ability to identify individual infected cows within the herd. The veterinary and the food industries are traditionally conservative in their methodology, and properly so. Thus, even if this procedure is adopted by a commercial organization, it is likely that it would be backed up by the classical methods during the transition period, allowing in situ validation and possible modification for the particular adopting organization. Alternatively, the results of this study may provide the impetus for the development of a fully validated commercial kit. The method presented here could easily enable monthly or even weekly testing of bulk milk from the collection tanks. In this way, outbreaks of S. agalactiae in a herd could be detected before the infection spreads. Because S. agalactiae is not a normal constituent of udder flora, aggressive monitoring and treatment may be able to completely eradicate this pathogen from national herds.
Although the research presented here was focused on diagnosis of S. agalactiae in milk, the general approach exemplified here can readily be applied to diagnosis of other pathogens in milk, and the specific V1-V2 primers can be used for diagnosis of S. agalactiae in human disease as well (Bentley and Leigh, 1995; Wang et al., 1999). The specific organisms for which procedures are developed will depend on the testing organization. For our purposes in Israel, we intend to extend the methodology to emerging pathogens of public health significance such as Listeria and Mycobacterium paratuberculosis and additional contagious mastitis organisms, such as Staphylococcus aureus and Arcanobacterium pyogenes.
| ACKNOWLEDGEMENTS |
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Received for publication March 1, 2001. Accepted for publication January 17, 2002.
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dström, and P. Olcén. 1999. Evaluation of an extended diagnostic PCR assay for detection and verification of the common causes of bacterial meningitis in CSF and other biological samples. Mol. Cell. Prob. 13:49–60.[Medline]This article has been cited by other articles:
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P. Cremonesi, B. Castiglioni, G. Malferrari, I. Biunno, C. Vimercati, P. Moroni, S. Morandi, and M. Luzzana Technical Note: Improved Method for Rapid DNA Extraction of Mastitis Pathogens Directly from Milk J Dairy Sci, January 1, 2006; 89(1): 163 - 169. [Abstract] [Full Text] [PDF] |
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B. E. Gillespie and S. P. Oliver Simultaneous Detection of Mastitis Pathogens, Staphylococcus aureus, Streptococcus uberis, and Streptococcus agalactiae by Multiplex Real-Time Polymerase Chain Reaction J Dairy Sci, October 1, 2005; 88(10): 3510 - 3518. [Abstract] [Full Text] [PDF] |
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