- Methodology article
- Open Access
Quantification of Gram-positive bacteria: adaptation and evaluation of a preparation strategy using high amounts of clinical tissue
© Mann et al.; licensee BioMed Central Ltd. 2014
- Received: 10 September 2013
- Accepted: 24 February 2014
- Published: 3 March 2014
A preparation method for quantification of bacteria in tissues is obligatory to reduce tissue mass, concentrate the target, purify, remove inhibitory substances and to achieve constant target recovery rates. No preparation method has been available until now for a high mass of tissue applicable for routine use and analytical veterinary diagnostics.
This study describes an easy-to-use tissue preparation protocol to quantify Gram-positive bacteria from a large volume of tissue matrix. A previously published sample preparation method (Matrix-Lysis) from food science was successfully adapted for clinical use on tissues from pigs, including cerebrum, spinal cord, lung, liver, ileum, colon, caecum, kidney and muscle tissue. This tissue preparation method now permits quantification of pathogens from 5 g of organic matrix, which is a 20–200 fold increase by weight compared to other methods. It is based on solubilization of the sample matrix with either a chaotrope plus detergent or divalent salts as solubilization agents. The method was designed as a modular system, offering the possibility to change lysis buffers, according to tissue solubilization characteristics and the intended detection method (molecular or culture). Using Listeria monocytogenes as model organism, viable cell quantification or DNA extraction and quantitative real-time PCR were performed after Matrix-Lysis to determine recovery rates and detection limit (LOD). The adapted Matrix-Lysis protocol resulted in high recovery rates (mean value: 76% ± 39%) for all tested organs, except kidney, and recovery was constant over 5 log scales for all tested buffer systems. The LOD for Matrix-Lysis with subsequent plate count method (PCM) was as low as 1 CFU/5 g, while for qPCR based detection the LOD was 102 bacterial cell equivalents (BCE)/5 g for two buffer systems.
This tissue preparation is inexpensive and can be easily used for routine and analytical veterinary diagnostics. Inoculation studies or hazard assessments can profit from this tissue preparation method and it is anticipated that this study will be a valuable source for further research on tissue preparation strategies.
- Pathogen detection
- Tissue preparation
- Bacteria quantification
Molecular tools for detecting, analyzing and quantifying specific microorganisms are well established in modern analytical diagnostics. The rising demand for fast quantification tools for pathogens has led to a tremendous increase in methodological approaches focusing on molecular biological techniques, such as quantitative real-time PCR (qPCR) [1–3]. Real-time PCR is a very efficient and accurate quantification technique with a potential limit of detection (LOD) of three target copies per PCR reaction, assuming Poisson distribution and a confidence level of 95% .
PCR assays have been published for almost all known bacterial pathogens, targeting resistance or virulence genes or conserved regions [5, 6]. However, prior methods that have to be used before qPCR assays, such as tissue preparation or DNA extraction, are disregarded in most cases. In analytical diagnostics, qPCR is mostly applied after direct DNA extraction using a small amount of tissue matrix (25–250 mg). This is performed without any appropriate tissue preparation strategy, where target cells are extracted, concentrated and purified from the surrounding matrix [7–10]. This approach can result in false quantification of bacterial targets and, even more importantly, false negatives in qPCR [2, 11]. The main reasons for these complications are concentration and irregular distribution of target cells in tissues: when skipping tissue preparation and directly processing a small quantity via DNA extraction, pathogens that are not uniformly distributed in the tissue might be over- or underestimated. This can also be fostered by heterogeneity of the tissue matrix, by pathological tissue alterations or by a low number of target microorganisms. Therefore, a representative quantity of tissue and subsequent tissue preparation to concentrate target cells are essential for precise quantification.
Besides qPCR, other methods can benefit from the abilities of a tissue preparation method to reduce the tissue matrix and concentrate target bacteria. For example, plating microorganisms is a common approach to qualitative pathogen detection, but where enrichment steps are necessary prior to detection, quantification becomes impossible. A high background flora on plates might strongly influence the growth of target organisms. This, as well as the methodological problem of low-occurrence of pathogens, is frequently discussed in the literature [12–14]. A direct plating approach, to quantify low numbers of target cells, has not been used in clinical diagnostics until now. However, this is possible using an adequate tissue preparation method to concentrate target cells prior to plating.
In general, pathogen quantification is always a multistep process, which is also referred to as an analytical chain. This chain can be subdivided into links comprising “sampling, tissue preparation, and plating” or “sampling, tissue preparation, DNA extraction/isolation, and target amplification/detection” . Each individual link within such a chain is equally important and this necessitates that they should be individually controlled. A failure at any one link in the chain falsifies the final result. Another consequence of such an analytical chain is that every upstream method constitutes a bottleneck for the subsequent method. Targets lost early cannot be “recovered” later. It therefore becomes clear that the initial links within an analytical chain, in this case pre-treatment and tissue preparation, are key in analyses and that they are as important as later DNA-extraction or target amplification.
Implementation of a cost-effective, robust and easy-to-use tissue preparation method prior to pathogen detection remains challenging in clinical applications, and is still problematic in nucleic acid testing . Until now no reliable tissue preparation method for routine applications and analytical veterinary diagnostics has been available. Possible solutions to these difficulties could come from other disciplines. A scientific field that faces the same challenges as clinical diagnostics, namely the need to detect pathogens in a large quantity of a complex matrix, qualitatively, and especially quantitatively, is food safety.
In food microbiology, requirements for a food sample preparation method are now well defined and can be specified as follows: i) reduction of matrix size for downstream steps without loss of target bacteria, ii) concentration of the target, iii) purification and removal of inhibitory substances, and iv) a low detection limit and constant recovery rate of the target . Many sample preparation techniques have been described in the literature that aim to concentrate target cells and purify them from extraneous matrices: immunological methods based on magnetic bead separation  or high gradient separation , physical methods based on filtration, flotation or gradient centrifugation [20, 21], adsorptive methods using activated carbon for separation of target cells  and methods based on electrophoresis or enzymatic digestion [22, 23]. Due to limitations of these methods, including high costs, low throughput, complex procedures or the need for minimum, non-representative tissue quantities , these methods have largely been abandoned in analytical veterinary diagnostics. It is unlikely that any one of these aforementioned strategies can cover all requirements for organs, including their pathological variants and species-specific differences.
However, a promising sample preparation method that can overcome these problems is Matrix-Lysis, which was initially developed in food science for application with dairy and meat products . The Matrix-Lysis protocol includes solubilization of the food matrix, concentration and purification of contaminant bacteria through washing and centrifugation steps. The method is economical, rapid and the LOD for food matrices has been described to be lower than 10 CFU/g [25–27]. In particular, Matrix-Lysis is a modular system with interchangeable lysis buffers. The lysis buffer is responsible for adequate solubilization of the matrix. If the matrix is well solubilized, the size of the remaining pellet (consisting of both bacteria and some tissue residues) is small, as most of the tissue is dissolved. This is important as only small pellets (<350 mg) can be processed further in a DNA extraction system; otherwise the background DNA is too high or the column of the DNA extraction system becomes obstructed. Interchangeability of the lysis buffers permits adaptations, alterations and structural changes, depending upon the matrix components, which could be highly advantageous for clinical applications.
The aim of this study was therefore to apply and adapt the Matrix-Lysis food sample preparation method to different healthy organs and to introduce it as a tissue preparation method for routine use and analytical veterinary diagnostics. The end objective was to achieve a detection limit of <100 BCE (bacterial cell equivalents)/g, which is claimed to be required urgently in diagnostics . A method such as this is anticipated to improve quantification processes in veterinary clinical research, microbiology and post-mortem diagnostics. The study organs were taken from healthy slaughtered pig carcasses and acted as models for tissues originating from a variety of mammalian species. Furthermore, detection limits for the analytical chains “Matrix-Lysis, DNA-extraction and qPCR”, and “Matrix-Lysis and subsequent plate count method (PCM)” were defined. For spiking experiments, Listeria (L.) monocytogenes was used as a model Gram-positive organism.
Solubilization of clinical tissues and adaptation of the Matrix-Lysis protocol
Remaining pellet size (% wet weight) after performing Matrix-Lysis protocol with different lysis buffers and tissues
8 M urea + 1% SDS (%)
2 M MgCl2 + 1% Lutensol (%)
2 M MgCl2(%)
Mayrl et al. (2009) 
Mayrl et al. (2009) 
Mayrl et al. (2009) 
1.1 ± 0.12
2.9 ± 0.05
1.4 ± 0.20
1.3 ± 0.11
2.5 ± 0.17
1.7 ± 0.25
1.8 ± 0.31
7.2 ± 0.24
4.3 ± 0.10
8.2 ± 0.21
3.9 ± 0.04
2.7 ± 0.16
9.8 ± 0.03
2.2 ± 0.13
5.2 ± 0.80
1.0 ± 0.00
7.2 ± 0.43
4.1 ± 0.03
3.4 ± 0.25
13.2 ± 0.20
9.8 ± 0.121
23 .0 ± 0.18
7.3 ± 0.171
56.0 ± 0.35
6.6 ± 0.43
9.8 ± 0.30
2.6 ± 0.11
47.0 ± 0.09
2.9 ± 0.05
52.0 ± 0.20
3.1 ± 0.05
12.1 ± 0.15
3.8 ± 0.10
3.7 ± 0.04
12.0 ± 0.24
4.3 ± 0.10
1.7 ± 0.08
26.7 ± 0.47
11 .0 ± 0.311
5.9 ± 0.02
Artificial contamination experiments
The PCM method (ALOA agar) was used for quantification of the 2 M MgCl2 lysis buffer-treated samples, since 2 M MgCl2 is known to preserve the viability of bacteria and this makes a plating approach possible. The amount of inocula ranged from 101- 105 CFU/g. The mean recovery rate for L. monocytogenes using Matrix-Lysis, with a lysis buffer based on 2 M MgCl2, was 96.1% (R 2 = 0.99) after PCM.
LOD for PCM
LOD determination of Matrix-Lysis tissue preparation using plate count method (PCM) for enumeration from 5 g of cerebral tissue
CFU per plate after ML3
Sum of CFU after ML
51 ± 3
21, 9, 11, 5, 11
4.5 ± 0.5
2, 0, 1, 1, 0
0.5 ± 0.5
1, 0, 0, 0, 0
18 ± 1
2, 10, 5, 10, 4
0.5 ± 0.5
0, 1, 0, 0, 0
0 ± 0
0, 0, 0, 0, 0
20 ± 5
4, 5, 7, 4, 1
1 ± 0
0, 3, 0, 0, 0
0 ± 0
0, 0, 0, 0, 0
Positive and negative controls performed as expected. The average number of CFU incorporated into each 5 g sample was obtained on TSA + Y agar. The number of CFU after Matrix-Lysis was determined by subdividing the remaining pellet into five equal parts and plating them individually on ALOA selective media. The LOD for L. monocytogenes from 5 g of cerebrum tissue with Matrix-Lysis + PCM was determined to be as low as one single cell and the efficiency of Matrix-Lysis tissue preparation at low levels was equal to that determined at higher bacterial levels (Table 2).
Detection, and especially quantification, of pathogens present in very low numbers in a large clinical sample requires technological solutions adapted to the respective tissue matrix . It is essential for any molecular diagnostic to realize that the detection reaction is indeed only the last in a series of sequentially applied methods within an analytical chain consisting of sample preparation, target extraction, purification and, finally, detection. What concludes from recognition of the analytical chain is that a reliable and controllable method for each of these steps has to be chosen and examined, because if any of those methods fails, a false negative result is inevitable.
Although it is a definitive bottleneck for the whole analytical chain, sample preparation has not received as much attention in the past as it deserves. However, this is expected to change. Current efforts in sample preparation  and molecular enrichment  have demonstrated simple solutions for concentrating and recovering microorganisms. In this study we present Matrix-Lysis, which breaks up cell membranes and solubilizes the tissue matrix, thereby additionally permitting detection of intracellular bacteria. This is an important issue in clinical diagnostics, whereby a possible dissemination of pathogenic bacteria can be monitored.
In this study, for every tissue tested, more than one effective lysis strategy could be found. Lung tissue was an exception; only the 2 M MgCl2 + 1% Lutensol lysis buffer permitted an adequate resultant pellet size for further analysis. When aiming for results based on PCM, 2 M MgCl2 should be used. However, it must be recognized that lysis efficiency is highly dependent upon the anatomical organ and on any pathological changes than may have taken place. If pathological changes can be diagnosed, this is most commonly associated with changes in tissue composition or structure. The lysis buffer strategy should then be adapted accordingly. It is advisable to perform a process control for each experiment as suggested in , as recovery rates of target cells can be influenced by tissue changes.
Until now, prior to plating, an enrichment step has been necessary for detection of bacteria from tissues that do not readily permit target cell quantification . The results of this study demonstrate that plating of bacteria and reliable quantification becomes possible implementation of a tissue preparation method that protects cultivable bacteria. With Matrix-Lysis, using the MgCl2 lysis buffer without detergent, the matrix size is reduced and targets are concentrated. We have shown that quantification of very low target cells, even a single cell, is reliable and reproducible using Matrix-Lysis for tissue preparation and the PCM method for quantification.
The constant mean recovery rate over the dilution series after PCM (96.1%; R 2 = 0.99) revealed excellent stability of the method, independent of the target quantity. This offers new and promising strategies for quantitative plating approaches in analytical veterinary diagnostics. Matrix-Lysis, followed by quantification with qPCR, can produce the same mean recovery rates as published before using Matrix-Lysis for food matrices [25–27]. Processed kidney tissue was associated with lower recovery rates (15% ± 7.9%), even although kidney tissue resulted in a small pellet (<350 μg) after Matrix-Lysis and background DNA in the pellet was similar to that obtained from other organs (data not shown). This may suggest that the lower recovery rate is consequential to inadequate removal of inhibitors from the remaining pellet. Improved processing of kidney tissue will be examined further.
Spiking experiments with cerebrum over the whole dilution series resulted in a very high coefficient of determination (R 2 = 0.99). For the lysis buffers based on 8 M urea + 1% SDS and 2 M MgCl2 + 1% Lutensol, constant recovery down to 349 BCE/g and 406 BCE/g, respectively, could be achieved with qPCR. As shown in this study, the newly developed Matrix-Lysis tissue preparation method is capable of recovering and concentrating single bacterial cells from as much as 5 g of tissue sample, efficiently and robustly.
Nevertheless, the discrepancy between the LOD of one cell with PCM compared to that of 102 cells with qPCR has to be discussed. Firstly, most qPCR approaches use only a small fraction (commonly between 1/20 – 1/40; this study 1/20) of the sample eluate after DNA-extraction, which inevitably increases the overall detection limit . Secondly, it is well known that common DNA purification procedures are not highly efficient at recovering target DNA at low concentrations from a high amount of background DNA; which may also lead to an increase in the LOD . Finally, in this study only 1/2 of the B3 buffer lysate (part of the DNA extraction system used) was taken for DNA extraction when quantifying with qPCR. The reason for this was the remaining tissue DNA in the pellet. Although Matrix-Lysis reduced 5 log units of free DNA from the sample , the column of DNA extraction was overloaded with DNA from the remaining pellet after Matrix-Lysis. This leads to an underestimation of target cells. Processing half of this amount of the B3 buffer lysate (part of the DNA extraction system used) can easily circumvent this limitation, but it increases the detection limit.
Additional file 1: Figure S1 depicts the decrease in target copy detection with more than 70 μg of background DNA in the DNA extraction system. Background DNA content of the Matrix-Lysis pellets was approximately 200–400 μg.
If only qualitative results are required, novel approaches, such as molecular enrichment, can circumvent these limitations  and this is an important methodological consideration when using qPCR in the future. However, this was not applied in this study. If there is a goal for future detection limits as low as ~100 BCE/5 g, these results also highlight the urgent need for more efficient and robust DNA-extraction and concentration methods.
As previously indicated, DNA-extraction is an important bottleneck step for qPCR-based quantification and from the results of this study we suggest the application of internal cellular-based extraction controls, to control for inefficient extraction and purification . Nevertheless, the detection limits achieved with Matrix-Lysis and qPCR are as good as the quantification limits associated with high-technology methods, such as fiber optic immunosensors coupled with immunomagnetic separation or antibody-based immunosensors [29, 30]. To our knowledge, Matrix-Lysis is the only economical and easy-to-use tissue preparation method that can compete with these novel high-technology methods, considering the LOD and coefficients of determination in whole dilution series.
In summary, it can be concluded that the Matrix-Lysis protocol from food science can be successfully adapted to clinical tissues. To our knowledge this is the first study presenting an easy-to-use and economical tissue preparation method for routine use and analytical veterinary diagnostics. The tissue preparation method permits quantification of pathogens from 5 g samples of organic matrix, which is 20–200 fold higher compared to prior sample preparation methods. Following Matrix-Lysis, the remaining pellet contains the total bacterial population of the sample. This pellet can then be further processed with DNA-based quantification or plating methods. It can be used for clinical research and diagnostic monitoring. For example, enumeration of lactobacilli and other Gram-positives can be useful for studying effects of dietary manipulations in pigs  or pathogen quantification can be used to support inoculation studies (e.g. vaccine testing). Hazard assessments and slaughterhouse practices will strongly profit from this reliable tissue preparation method and it is anticipated that this study will be a valuable source for further research on tissue preparation strategies.
Animal tissues and precise anatomical sampling locations for all tissues used in this study
Substantia grisea and Substantia alba
Lobus hepatis dexter lateralis
Border medulla - Cortex
Right lung: Lobus medius, Lobus caudalis
Terminal ileum, sparing Plica ileocaecalis
Culture of Listeria monocytogenes EGDe
L. monocytogenes (1/2a, internal number 2964) was conserved at −80°C using MicroBank technology (Pro-Lab Diagnostics, Richmond Hill, Ontario, Canada) and constituted part of the collection of bacterial strains kept by the Institute of Milk Hygiene, University of Veterinary Medicine, Vienna. L. monocytogenes was incubated overnight (37°C) in tryptone soy broth (TSB) with 0.6% (w/v) yeast extract (Oxoid, Basingstoke, Hampshire, UK).
Spiking of clinical tissues and experimental controls
For artificial contamination of tissues a 1 ml aliquot was taken from the overnight culture, placed into fresh TSB and directly incubated at 37°C for another three hours. Subsequently, a ten-fold dilution series was prepared using phosphate buffered saline (PBS) as diluent. The amount of inocula (100 μl) for spiking dilution series using cerebral tissue ranged from approximately 101- 106 BCE or respectively CFU. For the spiking trial of nine different tissues, a target concentration of approximately 105 BCE/g was used. Ice-cold tissues were cut into small pieces (Ø <4 mm2) and spiked with pipetted droplets of culture of known concentration. Tissues were processed immediately. All spiking experiments and determination of the LOD were performed in triplicate. All organs used for artificial contamination experiments were tested to be negative for L. monocytogenes prior to inoculation using the Matrix-Lysis protocol and the real-time PCR assay described by Rossmanith et al. .
All spiking experiments were controlled by three methods: using the plate count method (PCM), microscopic enumeration and a qPCR step to check for possible discrepancies between the different enumeration techniques. Tryptone soy agar plates, supplemented with 0.6% (w/v) yeast extract (TSAYE; Oxoid), were used for the PCM. Dilution series of the cultures were plated and incubated at 37°C for 24 hours. Microscopic investigation was performed with 500 μl of an appropriate dilution of bacteria, following the protocol provided in the Live/Dead® BacLight kit (Molecular Probes, Willow Creek, OR, USA). Samples were analyzed using a Laborlux 8 fluorescence microscope (Leitz, Wetzlar, Germany) with a 470 nm filter and a 1,000-fold optical magnification. Two filters were analyzed per sample and fifteen visual fields were counted per filter. The following formula was used for calculation of the number of stained bacteria per milliliter: mean bacterial count in one field X (filtration area size/field size) X (1/dilution factor × 0.5 ml).
Matrix-Lysis protocol and its adaptation to tissue matrices
The solubilizing ability of different buffer systems was examined for testing the applicability of Matrix-Lysis on clinical tissues. Matrix-Lysis buffers (sucrose + protease buffer, lysing buffer 8 M urea + 1% SDS, washing buffer) were prepared as previously described . Matrix-Lysis buffers based on magnesium chloride comprised 2 M MgCl2, 50 mM Tricine and optionally 1% Lutensol AO-07 and a pH adjusted to 7.0 (P. Mester, personal communication). All reagents for the Matrix-Lysis protocol were purchased from Merck (Darmstadt, Germany), with the exception of SDS, Tricine (Sigma-Aldrich, Steinheim, Germany), Lutensol AO-07 (BASF, Arnheim, Netherlands) and Savinase (Novozymes, Krogshoejvev, Denmark).
In this study the Matrix-Lysis protocol was tested using the lysis buffer 8 M urea + 1% SDS, and both variants of MgCl2 lysis buffers, with and without 1% Lutensol. The Matrix-Lysis protocol previously published  was followed. After determining the resultant pellet size of different tissues after the Matrix-Lysis preparation step, the protocol was adapted for optimum solubilization of clinical tissue. The adapted protocol included five grams of clinical tissue that were cut into small pieces (Ø <4 mm2) and homogenized with the Stomacher 400 blender (Steward, London, UK) in 25 ml of sucrose-protease buffer for ten minutes. The homogenate was transferred to a sterile 50 ml polypropylene tube (Cornig, NY, USA) and incubated in a water bath at 37°C shaken at 250 rpm for 30 minutes. Samples were then centrifuged at 3,220 × g at room temperature for 30 minutes. The supernatant was decanted and the pellet resuspended in 30 ml lysis buffer. Samples were then incubated in a water bath at 37°C (lysis buffer based on MgCl2) or 42°C (lysis buffer based on urea) and shaken at 250 rpm. Subsequently, samples were re-homogenized for ten minutes. Resultant sample homogenates were then made up to 45 ml with lysis buffer and vortexed rigorously. Diluted homogenates were centrifuged at 3,220 × g for 30 minutes at room temperature. Supernatants were decanted and pellets resuspended in 40 ml of washing buffer. Samples were then incubated in a water bath for 30 minutes (shaken at 250 rpm), at the same temperature used during incubation in lysis buffer. Incubated samples were next centrifuged at 3,220 × g for 30 minutes at room temperature and the supernatant decanted. Pellets were resuspended in 1,500 μl PBS and transferred to a 2 ml plastic tube (Eppendorf, Hamburg, Germany). Pellets were washed twice using 1,500 μl PBS in centrifugation steps (5 minutes, 8,000 × g). The adapted protocol is shown in Figure 1. All buffers (protease buffer, lysis buffer and washing buffer) were pre-warmed before use and all experiments were performed in triplicate.
Plating, DNA extraction and qPCR
For quantification of L. monocytogenes in clinical tissues after Matrix-Lysis, the remaining pellet was either plated onto selective agar plates for viable cell quantification or DNA extraction was performed for subsequent qPCR enumeration. The PCM was used for viable cell quantification. The remaining pellet from Matrix-Lysis was resuspended in PBS to achieve a total volume of one ml and rigorously vortexed until homogenized. 100 μl aliquots of a ten-fold dilution series were plated onto selective ALOA agar (Biolife, Milan, Italy). DNA extraction was performed with the NucleoSpin® tissue kit (Machery-Nagel, Düren, Germany) using the protocol for Gram-positive bacteria.
Since somatic cells remain in the Matrix-Lysis pellet and result in high background DNA levels and overload of the DNA extraction column, only 1/2 of the B3 buffer lysate was used for further DNA extraction. Following extraction, qPCR quantification of L. monocytogenes was performed by targeting a fragment of the prfA gene (274 bp) [32, 33]. A DNA standard containing 1 ng/μl of L. monocytogenes DNA and a derivative 4 log10 dilution series were used as calibration standards for each run. The qPCR reaction on 25 μl samples was performed in a Mx3000p qCR termocycler (Stratagene; La Jolla, CA, USA) in duplicate using 5 μl of DNA template.
Supplementary Information accompanies the paper on the BMC Veterinary Research Journal website (http://biomedcentral.com).
We acknowledge Hans Gantner from the Gantner EU Schlachthof and the employees of the clinic for swine for providing tissues from slaughtered pigs. The research was funded by the K-project PVM (“Preventive Veterinary Medicine”, Project Number 825339) and by the Christian Doppler Laboratories CD-MOFA and CD-MOMICO, financed by the Federal Ministry of Economy, Family and Youth and the National Foundation for Research, Technology and Development, which is gratefully acknowledged.
- Dark PM, Dean P, Warhurst G: Bench-to-bedside review: the promise of rapid infection diagnosis during sepsis using polymerase chain reaction-based pathogen detection. Crit Care. 2009, 13: 217-10.1186/cc7886.PubMed CentralView ArticlePubMedGoogle Scholar
- Espy MJ, Uhl JR, Sloan LM, Buckwalter SP, Jones MF, Vetter EA, Yao JDC, Wengenack NL, Rosenblatt JE, Cockerill FR, Smith TF: Real-time PCR in clinical microbiology: applications for a routine laboratory testing. Clin Microbiol Rev. 2006, 19: 165-256. 10.1128/CMR.19.1.165-256.2006.PubMed CentralView ArticlePubMedGoogle Scholar
- Johnson G, Nolan T, Bustin SA: Real-time quantitative PCR, pathogen detection and MIQE. Methods Mo Biol. 2013, 943: 1-16. 10.1007/978-1-60327-353-4_1.View ArticleGoogle Scholar
- Bustin SA, Benes V, Garson JA, Hellemans J, Huggett J, Kubista M, Mueller R, Nolan T, Pfaffl MW, Shipley GL, Vandesompele J, Wittwer CT: The MIQE guidelines: minimum information for publication of quantitative real-time PCR experiments. Clin Chem. 2009, 55: 611-622. 10.1373/clinchem.2008.112797.View ArticlePubMedGoogle Scholar
- Nikkari S, Lopez FA, Lepp PW, Cieslak PR, Ladd-Wilson S, Passaro D, Danila R, Relman DA: Broad-range bacterial detection and the analysis of unexplained death and critical illness. Emerg Infect Dis. 2002, 8: 188-194. 10.3201/eid0802.010150.PubMed CentralView ArticlePubMedGoogle Scholar
- Weile J, Knabbe C: Current applications and future trends of molecular diagnostics in clinical bacteriology. Anal Bioanal Chem. 2009, 394: 731-742. 10.1007/s00216-009-2779-8.View ArticlePubMedGoogle Scholar
- Abril C, Nimmervoll H, Pilo P, Brodard I, Korczak B, Markus S, Miserez R, Frey J: Rapid diagnosis and quantification of Francisella tularensis in organs of naturally infected common squirrel monkeys (Saimiri sciureus). Vet Microbiol. 2008, 127: 203-208. 10.1016/j.vetmic.2007.08.006.View ArticlePubMedGoogle Scholar
- Bastardo A, Ravelo C, Romalde JL: Highly sensitive detection and quantification of the pathogen Yersinia ruckeri in fish tissues by using real-time PCR. Appl Microbiol Biotechnol. 2012, 96: 511-520. 10.1007/s00253-012-4328-1.View ArticlePubMedGoogle Scholar
- Chagas-Junior AD, da Silva CL, Soares LM, Santos CS, Silva CD, Athanazio DA, dos Reis MG, McBride FW, McBride AJ: Detection and quantification of Leptospira interrogans in hamster and rat kidney samples: immunofluorescent imprints versus real-time PCR. PLoS One. 2012, 7: e32712-10.1371/journal.pone.0032712.PubMed CentralView ArticlePubMedGoogle Scholar
- Fornazari F, da Silva RC, Richini-Pereira VB, Beserra HE, Luvizotto MC, Langoni H: Comparison of conventional PCR, quantitative PCR, bacteriological culture and the Warthin Starry technique to detect Leptospira spp. in kidney and liver samples from naturally infected sheep from Brazil. J Microbiol Meth. 2012, 90: 321-326. 10.1016/j.mimet.2012.06.005.View ArticleGoogle Scholar
- Al-Soud WA, Radstrom P: Purification and characterization of PCR-inhibitory components in blood cells. J Clin Microbiol. 2001, 39: 485-493. 10.1128/JCM.39.2.485-493.2001.PubMed CentralView ArticlePubMedGoogle Scholar
- Cornu M, Billoir E, Bergis H, Beaufort A, Zuliani V: Modeling microbial competition in food: application to the behavior of Listeria monocytogenes and lactic acid flora in pork meat products. Food Microbiol. 2011, 28: 639-647. 10.1016/j.fm.2010.08.007.View ArticlePubMedGoogle Scholar
- Omisakin F, MacRae M, Ogden ID, Strachan NJ: Concentration and prevalence of Escherichia coli O157 in cattle feces at slaughter. Appl Environ Microbiol. 2003, 69: 2444-2447. 10.1128/AEM.69.5.2444-2447.2003.PubMed CentralView ArticlePubMedGoogle Scholar
- Fredriksson-Ahomaa M, Korkeala H: Low occurrence of pathogenic Yersinia enterocolitica in clinical, food, and environmental samples: a methodological problem. Clin Microbiol Rev. 2003, 16: 220-229. 10.1128/CMR.16.2.220-229.2003.PubMed CentralView ArticlePubMedGoogle Scholar
- Rossmanith P, Mester P, Frühwirth K, Fuchs S, Wagner M: Proof of concept for recombinant cellular controls in quantitative molecular pathogen detection. Appl Environ Microbiol. 2011, 77: 2531-2533. 10.1128/AEM.02601-10.PubMed CentralView ArticlePubMedGoogle Scholar
- Niemz A, Ferguson TM, Boyle DS: Point-of-care nucleic acid testing for infectious diseases. Trends Biotechnol. 2011, 29: 240-250. 10.1016/j.tibtech.2011.01.007.PubMed CentralView ArticlePubMedGoogle Scholar
- Rossmanith P, Wagner M: Aspects of systems theory in the analysis and validation of innovative molecular-biological based food pathogen detection methods. Trends Food Sci. 2011, 22: 61-71. 10.1016/j.tifs.2010.12.004.View ArticleGoogle Scholar
- Urwyler S, Finsel I, Ragaz C, Hilbi H: Isolation of Legionella-containing vacuoles by immuno-magnetic separation. Curr Protoc Cell Biol. 2010, .-Chapter 3:Unit 3 34. http://www.biomedcentral.com/content/pdf/1471-2180-11-59.pdfGoogle Scholar
- Ryumae U, Hibi K, Yoshiura Y, Ren HF, Endo H: Rapid and highly sensitive detection of Flavobacterium psychrophilum using high gradient immunomagnetic separation with flow cytometry. Aquaculture. 2010, 309: 125-130. 10.1016/j.aquaculture.2010.09.023.View ArticleGoogle Scholar
- Cui S, Schroeder CM, Zhang DY, Meng J: Rapid sample preparation method for PCR-based detection of Escherichia coli O157: H7 in ground beef. J Appl Microbiol. 2003, 95: 129-134. 10.1046/j.1365-2672.2003.01951.x.View ArticlePubMedGoogle Scholar
- Wolffs P, Knutsson R, Norling B, Radstrom P: Rapid quantification of Yersinia enterocolitica in pork samples by a novel sample preparation method, flotation, prior to real-time PCR. J Clin Microbiol. 2004, 42: 1042-1047. 10.1128/JCM.42.3.1042-1047.2004.PubMed CentralView ArticlePubMedGoogle Scholar
- Luan CG, Levin RE: Use of activated carbon coated with bentonite for increasing the sensitivity of pcr detection of Escherichia coli O157: H7 in Canadian oyster (Crassostrea gigas) tissue. J Microbiol Meth. 2008, 72: 67-72. 10.1016/j.mimet.2007.10.010.View ArticleGoogle Scholar
- Wegmuller B, Luthy J, Candrian U: Direct polymerase chain reaction detection of Campylobacter jejuni and Campylobacter coli in raw milk and dairy products. Appl Environ Microbiol. 1993, 59: 2161-2165.PubMed CentralPubMedGoogle Scholar
- Ho NT, Fan A, Klapperich CM, Cabodi M: Sample concentration and purification for point-of-care diagnostics. Conf Proc IEEE Eng Med Biol Soc. 2012, 2396-2399. http://jcm.asm.org/content/early/2013/12/19/JCM.02786-13.full.pdf, http://jcm.asm.org/content/52/3/832.fullGoogle Scholar
- Rossmanith P, Suss B, Wagner M, Hein I: Development of matrix lysis for concentration of gram positive bacteria from food and blood. J Microbiol Meth. 2007, 69: 504-511. 10.1016/j.mimet.2007.03.003.View ArticleGoogle Scholar
- Mayrl E, Roeder B, Mester P, Wagner M, Rossmanith P: Broad range evaluation of the matrix solubilization (matrix lysis) strategy for direct enumeration of foodborne pathogens by nucleic acids technologies. J Food Protect. 2009, 72: 1225-1233.Google Scholar
- Mester P, Schoder D, Wagner M, Rossmanith P: Rapid sample preparation for molecular biological food analysis based on magnesium chloride. Food Anal Methods.in press; 2014.Google Scholar
- Maheux AF, Bissonnette L, Boissinot M, Bernier JL, Huppe V, Berube E, Boudreau DK, Picard FJ, Huletsky A, Bergeron MG: Method for rapid and sensitive detection of Enterococcus sp. and Enterococcus faecalis/faecium cells in potable water samples. Water Res. 2011, 45: 2342-2354. 10.1016/j.watres.2011.01.019.View ArticlePubMedGoogle Scholar
- Baccar H, Mejri MB, Hafaiedh I, Ktari T, Aouni M, Abdelghani A: Surface plasmon resonance immunosensor for bacteria detection. Talanta. 2010, 82: 810-814. 10.1016/j.talanta.2010.05.060.View ArticlePubMedGoogle Scholar
- Mendonca M, Conrad NL, Conceicao FR, Moreira AN, Da Silva WP, Aleixo JAG, Bhunia AK: Highly specific fiber optic immunosensor coupled with immunomagnetic separation for detection of low levels of Listeria monocytogenes and L. ivanovii. BMC Microbiol. 2012, 12: 275-10.1186/1471-2180-12-275.PubMed CentralView ArticlePubMedGoogle Scholar
- Metzler-Zebeli BU, Mann E, Schmitz-Esser S, Wagner M, Ritzmann M, Zebeli Q: Changing dietary Calcium-Phosphorus level and cereal source selectively alters abundance of bacteria and metabolites in the upper gastrointestinal tracts of weaned pigs. Appl Environ Microbiol. 2013, 79: 7264-7272. 10.1128/AEM.02691-13.PubMed CentralView ArticlePubMedGoogle Scholar
- Rossmanith P, Krassnig M, Wagner M, Hein I: Detection of Listeria monocytogenes in food using a combined enrichment/real-time PCR method targeting the prfA gene. Res Microbiol. 2006, 157: 763-771. 10.1016/j.resmic.2006.03.003.View ArticlePubMedGoogle Scholar
- D’Agostino M, Wagner M, Vazquez-Boland JA, Kuchta T, Karpiskova R, Hoorfar J, Novella S, Scortti M, Ellison J, Murray A, Fernandes I, Kuhn M, Pazlarova J, Heuvelink A, Cook N: A validated PCR-based method to detect Listeria monocytogenes using raw milk as a food model-towards an international standard. J Food Prot. 2004, 67: 1646-1655.PubMedGoogle Scholar
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