Simultaneous detection of Fusarium culmorum and F. graminearum in plant material by duplex PCR with melting curve analysis

  • Christoph Brandfass1 and

    Affiliated with

    • Petr Karlovsky1Email author

      Affiliated with

      BMC Microbiology20066:4

      DOI: 10.1186/1471-2180-6-4

      Received: 11 May 2005

      Accepted: 23 January 2006

      Published: 23 January 2006

      Abstract

      Background

      Fusarium head blight (FHB) is a disease of cereal crops, which has a severe impact on wheat and barley production worldwide. Apart from reducing the yield and impairing grain quality, FHB leads to contamination of grain with toxic secondary metabolites (mycotoxins), which pose a health risk to humans and livestock. The Fusarium species primarily involved in FHB are F. graminearum and F. culmorum. A key prerequisite for a reduction in the incidence of FHB is an understanding of its epidemiology.

      Results

      We describe a duplex-PCR-based method for the simultaneous detection of F. culmorum and F. graminearum in plant material. Species-specific PCR products are identified by melting curve analysis performed in a real-time thermocycler in the presence of the fluorescent dye SYBR Green I. In contrast to multiplex real-time PCR assays, the method does not use doubly labeled hybridization probes.

      Conclusion

      PCR with product differentiation by melting curve analysis offers a cost-effective means of qualitative analysis for the presence of F. culmorum and F. graminearum in plant material. This method is particularly suitable for epidemiological studies involving a large number of samples.

      Background

      Fusarium head blight (FHB) is a disease of cereal crops, which has a severe impact on wheat and barley production worldwide. The infection of heads of small grain cereals and maize plants with Fusarium spp. impairs grain yield and quality [1]. Apart from adversely effecting grain size, weight, protein content, baking quality of the flour, and other technological parameters, the contamination of grain and cereal products with Fusarium mycotoxins is the most serious consequence of FHB [2, 3]. The consumption of commodities contaminated with mycotoxins poses a health risk to both humans and farm animals, making fungal contamination a key concern in food and feed safety assessments. Because grains of low quality are used in feedstuff production rather than in human foods, health and productivity impairment in farm animals caused by mycotoxin contamination of feeds have regularly been reported in the last decades from Europe [4]. Our understanding of the effects of low doses of Fusarium mycotoxins consumed over prolonged time periods (possibly the whole life span) on humans is poor because of technical difficulties in addressing these issues by doing epidemiological studies. While the EU is still in the process of developing legal limits for Fusarium mycotoxins in grains, food and feeds, some European countries have already established national limits [5, 6].

      In spite of breeding efforts aiming at FHB-resistant cultivars, and despite a recent shift of the priority of chemical protection development towards fungicides targeting FHB, the disease continues to pose a major challenge to grain growers all over the world [7]. A key prerequisite for a reduction in the incidence of FHB through crop management is an understanding of its epidemiology. The Fusarium species primarily involved in FHB are F. graminearum and F. culmorum [8]. The biology and infection mode of these two species are very different from each other: F. graminearum reaches cereal heads via ascospores forcibly discharged from asci formed on plant residues on the soil surface. In comparison, F. culmorum does not possess a sexual cycle. It is assumed that F. culmorum reaches the ears by traversing from one leave to the next in rain splashes [9], but some researchers find this hypothesis unsatisfactory. A speculation that F. culmorum and possibly also F. graminearum can infect cereal plants systemically and grow in the stem upwards from the root to the ear has been revived repeatedly in recent years, but it has not been proven so far [10].

      Another important question in FHB epidemiology is whether species other than from F. graminearum and F. culmorum also contribute significantly to the symptoms and mycotoxin contamination. A number of fungal species have been isolated from infected or even healthy-looking ears collected in the field, including a plethora of Fusarium spp. [11, 12], but it is not known whether these isolates actively contribute to the FHB or whether they just grow saprophytically in the dead surface tissues, which are normally removed during grain cleaning and processing.

      Current epidemiological studies on FHB are expected to provide answers to these and other questions crucial to disease management. These studies require the analysis of a large number of samples in a species-specific manner. Although the quantitative determination of fungal biomass is required for certain tasks (e.g., virulence assessment for species or isolates), qualitative data are often sufficient in studies in epidemiology. PCR is the method of choice for both purposes, because reliable species-specific primers are known for all FHB-relevant species [1217]. However, classical PCR is not suitable for epidemiological studies because agarose electrophoresis limits the throughput [18, 19]. Here we describe a fast, inexpensive, qualitative duplex PCR assay for F. culmorum and F. graminearum, which are the key species causing FHB in wheat and barley. The method is based on the melting curve analysis of amplification products generated in a real-time PCR thermocycler.

      Results and discussion

      Optimization of DNA extraction and PCR conditions

      The processing of the wheat rachides posed a challenge, because the small sample size (2–3 segments of the spike axis per sample) and firm texture of the material put high demands on the homogenization of the samples. The high number of samples precluded manual grinding in a mortar; we therefore used a reciprocal mill. Pulverizing wheat rachides in polypropylene tubes with stainless steel or wolfram carbide balls was found to be inefficient, but a large stainless steel ball (32 g, 20 mm) in a stainless steel container crushed the rachides into a fine powder. We optimized the factors affecting the DNA yield and quality in a CTAB-based DNA extraction method (details to be published), the optimized protocol is described in the Methods section.

      Our initial PCR experiments, undertaken under the conditions described in the literature for classical PCR with primers Fg16N and OPT18, did not result in the amplification and detection of the expected products by fluorescence [13, 14]. Therefore, we optimized the PCR conditions concerning primer concentration, polymerase activity, MgCl2, SYBR Green I concentration and cycling parameters. For this optimization fungal DNA of the strains Fg3, Fg5, Fc2 and CBS 250.52 (Table 1) was used. The improved protocol is described in the Methods section.
      Table 1

      Fungal strains used in the present study. Source code: 1: Centraalbureau voor Schimmelcultures, Utrecht, The Netherlands; 2: Deutsche Sammlung von Mikroorganismen und Zellkulturen, Braunschweig, Germany; 3: E. Möller, University of Hohenheim, Germany; 4: H. Nirenberg (BBA Berlin, Germany) via E. Möller, University of Hohenheim, Germany; 5: Institute of Plant Pathology, University of Göttingen, Germany; 6: International Center for Agricultural Research in the Dry Areas, Aleppo, Syria; 7: J.F. Leslie (Kansas State University, Manhattan) via E. Möller, University of Hohenheim, Germany; 8: National Institute for Agricultural Research, Paris, France; 9: Th. Miedaner (State Plant Breeding Institute) via E. Möller, University of Hohenheim, Germany

      Species

      Strain

      Source

      Origin

      Alternaria alternata

      A 4.1.1

      5

      Triticum aestivum, leaf, 1983

      Cladosporium herbarum

      CH 3

      3

      unknown

      Cladosporium herbarum

      CH 4

      3

      unknown

      Drechslera sorokiniana

      D 3.1

      5

      Triticum aestivum, leaf

      Fusarium acuminatum

      ICARDA 92090

      6

      Hordeum vulgare, root, Bouider station

      Fusarium acuminatum

      ICARDA 92099

      6

      Hordeum vulgare, Bouider station

      Fusarium acuminatum

      ICARDA 93682

      6

      Hordeum vulgare, root

      Fusarium acuminatum

      ICARDA 93803

      6

      Hordeum vulgare, root, Viransehir

      Fusarium acuminatum

      ICARDA 93831

      6

      Hordeum vulgare, root, Viransehir

      Fusarium avenaceum

      DSM 62161

      2

      Dianthus caryophyllus, rotten stem base, Germany

      Fusarium avenaceum

      FA 95

      3

      unknown

      Fusarium compactum

      ICARDA 93823

      6

      unknown

      Fusarium crookwellense

      BBA 63558, DSM 8704

      4

      unknown

      Fusarium crookwellense

      BBA 64483

      4

      unknown

      Fusarium crookwellense

      BBA 64545

      4

      unknown

      Fusarium culmorum

      CBS 122.73

      1

      Triticum sp., Great Britain, 1973

      Fusarium culmorum

      CBS 250.52 (Fc3.3)

      1

      Secale cereale, grain, 1952

      Fusarium culmorum

      DSM 62184

      2

      Zea mays, grain, 1952

      Fusarium culmorum

      DSM 62191

      2

      Triticum aestivum, head, Mainz, Germany

      Fusarium culmorum

      Fc15

      9

      Triticum aestivum, seed, Söllingen, Germany, 1987

      Fusarium culmorum

      Fc2

      4

      Hordeum vulgare, head, Finland, 1982

      Fusarium culmorum

      Fc22

      9

      Secale cereale, stem, Bad Schönborn, Germany, 1989

      Fusarium culmorum

      Fc36

      9

      Secale cereale, stem, Bergen (Celle), Germany

      Fusarium culmorum

      Fc65

      9

      Secale cereale, Svalöf, Sweden, 1992

      Fusarium culmorum

      Fc66

      3

      Triticum aestivum, head, Italy, 1992

      Fusarium culmorum

      Fc67

      3

      Triticum aestivum, head, Italy, 1992

      Fusarium culmorum

      Fc73

      3

      soil, Tasmania, Australia

      Fusarium equiseti

      ICARDA 93002

      6

      unknown

      Fusarium equiseti

      ICARDA 93532

      6

      unknown

      Fusarium equiseti

      ICARDA 93574

      6

      unknown

      Fusarium equiseti

      ICARDA 93715

      6

      unknown

      Fusarium equiseti

      ICARDA 93788

      6

      unknown

      Fusarium graminearum

      BBA 62048

      4

      Triticum aestivum, Germany, 1973

      Fusarium graminearum

      CBS 389.62

      1

      Triticum aestivum, East-Flevoland, The Netherlands, 1961

      Fusarium graminearum

      DSM 1095

      2

      Zea mays, Indiana, USA, 1973

      Fusarium graminearum

      DSM 4527

      2

      Zea mays, Bavaria, Germany, 1982

      Fusarium graminearum

      DSM 4528

      2

      Zea mays, Germany, 1982

      Fusarium graminearum

      DSM 62217

      2

      Zea mays, Ireland, 1968

      Fusarium graminearum

      DSM 62722

      2

      Lolium perenne, rotting base, Germany

      Fusarium graminearum

      DSM 62722

      2

      Lolium sp., Kiel, Germany, 1968

      Fusarium graminearum

      DSM 64848

      2

      Triticum durum, Rottenburg, Germany, 1987

      Fusarium graminearum

      DSM 67638

      2

      Triticum aestivum, Bavaria, Germany, 1992

      Fusarium graminearum

      Fg3

      4

      Triticum durum, head, 1985

      Fusarium graminearum

      Fg5

      4

      unknown

      Fusarium oxysporum

      SAGW 124

      5

      Aalsmeer, The Netherlands, 1987

      Fusarium poae

      DSM 62376

      2

      Avena sativa, kernel, Germany

      Fusarium poae

      FP 2

      9

      unknown

      Gibberella fujikuroi

      B-00281

      7

      Saccharum officinarum, Taiwan

      Gibberella fujikuroi

      B-01722

      7

      unknown

      Gibberella fujikuroi

      B-03821

      7

      unknown

      Gibberella fujikuroi

      B-03828

      7

      unknown

      Gibberella fujikuroi

      B-03853

      7

      unknown

      Microdochium nivale var. majus

      GN 7

      9

      Hordeum vulgare, head, Switzerland

      Microdochium nivale var. nivale

      GN 25

      9

      Hordeum vulgare

      Microdochium nivale var. nivale

      GN 35

      9

      Secale cereale, base, Georgen

      Microdochium nivale var. nivale

      GN 36

      9

      Secale cereale, base, Oli/Schwäbische Alb, Germany

      Pseudocercosporella herpotrichoides

      INRA 164

      8

      Ille et Vilaine, France, 1986

      Pseudocercosporella herpotrichoides var. acuformis

      C39A

      5

      1988

      Pseudocercosporella herpotrichoides var. acuformis

      PHA 20/3

      3

      Secale cereale, 1991

      Rhizoctonia cerealis

      INRA 161

      8

      Marne, France, 1981

      Rhizoctonia cerealis

      SAGW 105

      5

      Triticum aestivum, Loxstedt-Dünenfähr, Germany, 1984

      Rhizoctonia cerealis

      SAGW 107

      5

      Oldenburg, Germany, 1985

      Septoria nodorum

      7n/II/2

      5

      Triticum aestivum, leaf, Göttingen, 1993

      The specificity of primers we selected for our assay was evaluated in the literature as follows: Fg16N was tested with 21 F. culmorum isolates, 24 F. graminearum isolates, 20 isolates of other Fusarium species and 5 isolates of other fungal species associated with cereals [14]. OPT18 was tested with 69 F. culmorum isolates, 34 F. graminearum isolates, 25 isolates of other Fusarium species and 27 isolates of other fungal species associated with cereals [13]. All tests confirmed the specificity of Fg16N for F. graminearum and OPT18 for F. culmorum. Because PCR conditions used in these tests were different from the conditions of our assay, we re-evaluated the primer specificity in our duplex assay. We tested a range of fungal species regularly encountered on cereals, especially Fusarium spp. (Table 1). All isolates of F. culmorum and F. graminearum tested positively, giving signals in the expected range of melting temperature. There was no cross-reaction between F. culmorum and F. graminearum. All other fungal isolates listed in Tab. 1 tested negatively. The amplification of F. culmorum and F. graminearum was not inhibited by the presence of a large excess of wheat DNA (10 ng wheat DNA in a reaction containing 10 pg of Fusarium spp. DNA) nor did pure wheat DNA generate any signal under these conditions.

      Duplex PCR with SYBR Green I and melting curve analysis

      The fluorescent dye SYBR Green I, which intercalates unspecifically to all double-stranded DNA products, is commonly used in real-time PCR when just one specific amplicon is produced. In our protocol, the dye serves to identify two different products after amplification with the help of a melting curve analysis. In contrast to the real-time PCR mode, this method does not allow for quantification because the fluorescence measured during amplification is the sum of the signals generated by two specific PCR products and possibly unspecific products, too. Particularly, the primer pair Fg16N F/R tends to generate a fluorescent signal even in no-template controls at the end of the amplification (Figure 1).
      http://static-content.springer.com/image/art%3A10.1186%2F1471-2180-6-4/MediaObjects/12866_2005_Article_217_Fig1_HTML.jpg
      Figure 1

      Progress and melting curves of PCR products used for the detection ofF. culmorumandF. graminearum. PCR and melting curve analysis was performed in a real-time thermocycler with primer pairs specific for F. culmorum and F. graminearum and SYBR Green I fluorescence detection as described in the Methods. The SYBR Green I was diluted to 0.4× the recommended concentration. Genomic DNA from F. graminearum (continuous curves with squares), F. culmorum (dotted curves with diamonds), a mixture containing DNA from both species (dashed curves with triangles) and no DNA (no-template control, "NTC ", gray curve without symbols) were used as templates. A: Progress curves, showing the fluorescence signal during the annealing phase in each reaction cycle. B: Melting curves recorded on PCR products after 35 cycles. The rise of fluorescence in the no-template control produces a melting point maximum at about 80°C, far lower than where Fusarium target are detected. Because melting curves presented in Figure 1B were recorded with low template amounts, the unspecific products are also visible, but they do not prevent the detection of Fusarium DNA in amounts equal to or higher than the limit of detection.

      A melting curve analysis was set up to characterize the amplification products after PCR. Melting points, represented by maxima of the first derivative of the melting curves, were different for the two PCR products in our system. A low heating rate (0.5°C 30 s-1) during melting curve acquisition was essential because the resolution of the melting curves drops with increasing heating rate.

      To reduce the fraction of false positives, absolute and relative limits were set for the magnitude of signals represented by peak areas on the first derivative of the melting curves. The absolute peak area and the fraction of the peak area in relation to the total area under the melting curve were used as the absolute and relative thresholds. Their limits were respectively set to 100 and 0.1.

      The melting temperature of a PCR product depends mainly on its length and GC content. It is also affected by the nucleotide sequence because of the stacking interactions among adjacent nucleotides. The species-specific PCR product for F. culmorum generated with primers OPT18 F/R was 472 bp long and had a melting temperature of 91.0°C ± 1°C in the PCR buffer, whereas the product for F. graminearum was 280 bp long and had a melting point of 86.5°C ± 1°C (Figure 1). A third, wide-shaped peak occasionally occurred between 76 and 82°C. This originated from "primer dimers" and other unspecific amplification products. These latter products were found particularly in samples with a low concentration of Fusarium DNA. As the result presented in the Figure 1 shows, unspecific products do not prevent the detection of Fusarium DNA in amounts equal to or higher than the limit of detection (Table 2). The nonspecific products in the no-template control possess a melting point of about 80°C, which is much lower than the melting temperatures at which Fusarium targets are detected.
      Table 2

      Limits of detection for F. culmorum and F. graminearum in duplex PCR with melting curve analysis.

      DNA used as template

      Species detected

      F. graminearum

      F. culmorum

      F. graminearum

      F. culmorum

      5 pg

      5 pg

      +

      +

      100 pg

      100 pg

      -

      +

      100 pg

      10 pg

      +

      +

      10 pg

      100 pg

      -

      +

      5 pg to 5 ng

      -

      +

      -

      -

      5 pg to 5 ng

      -

      +

      Positive detection (+) was defined as the presence of a peak in the melting profile which fulfills these conditions:

      (i) its melting point identified by thermocycler software lies within 91.0 ± 1.0°C for F. culmorum and 86.5 ± 1.0°C for F. graminearum

      (ii) absolute peak area amounts to at least 100 densitometry units

      (iii) the relative peak area in relation to the total area under the melting curve amounts to at least 10%.

      Identical results were obtained in the presence of an excess (10 ng) of wheat DNA.

      Experiments with primer pairs used separately revealed that the unspecific products were produced by primers Fg16N F/R, while primers OPT18 F/R did not generate any unspecific products even in controls with no template DNA.

      In contrast to the commonly held view that SYBR Green I binds equally well to all double-stranded DNA sequences, we observed that the F. culmorum product binds the dye more efficiently than the F. graminearum product. Similar differences in the binding affinity of SYBR Green I to different PCR products have been reported by Giglio et al. [20]. Because of this preferential binding of the dye to the F. culmorum product, F. graminearum could not be detected by melting curve analysis in the presence of 100 pg or more of F. culmorum DNA, irrespective of the amount of F. graminearum DNA. Attempts to counteract this effect by increasing the SYBR Green I concentration in the PCR reaction mixture were hampered by the inhibition of the PCR by the dye. Since even the addition of more SYBR Green I after the completion of the PCR did not prevent the suppression of the F. graminearum signal by the F. culmorum DNA (data not shown), we consequently re-optimized the PCR conditions for F. graminearum detection in the presence of 5 and 100 pg F. culmorum DNA (see Table 2).

      During the re-optimization of the PCR conditions we noticed that increasing the SYBR Green I concentration caused an increase in the melting temperature of the PCR products. Table 3 shows the results of a systematic investigation of this phenomenon for the F. graminearum product. A shift caused by increasing the SYBR Green I concentration from 0.1× to 0.7× dilution amounted to as much as 2°C.
      Table 3

      Influence of SYBR Green I concentration on the melting temperature of the PCR product specific for F. graminearum. 50 pg of Fg3 DNA were used as a template for PCR with the primer pair Fg16N F/R in addition to different SYBR Green I concentrations and 3 mM MgCl2. The other parameters were set as described in the Methods.

      SYBR Green I concentration in the amplification mix

      Melting temperature of the 280 bp PCR product

      0.1×

      84.5°C

      0.2×

      85.0°C

      0.3×

      85.5°C

      0.4×

      86.0°C

      0.7×

      86.5°C

      The detection limits of the melting curve analysis are summarized in Table 2. The assay is used for samples with a low amount of total DNA (e.g., DNA extracted from rachides of cereal ears) or when merely one product was expected (e.g. identification of pure cultures or Fusarium spp. isolates). Therefore, we recommend keeping the total amount of Fusarium spp. DNA in the assay under 50 pg when the presence of both species is expected. This can be achieved by employing amounts smaller than 1 ng plant DNA in the reaction or by monitoring the CT value which has to be bigger than 20.

      Because the suppression of the F. graminearum signal by F. culmorum only occurs when the PCR products are characterized by the melting curve analysis, agarose gels can be used to confirm the interpretation of the melting curves when large amounts of F. culmorum DNA are detected. This is characterized by a signal (melting curve maximum) specific for F. culmorum and a CT-values of the whole amplicon smaller than 25. In our study of 500 wheat samples, no F. graminearum signal was inhibited by F. culmorum DNA (see below).

      Data processing

      The form in which the results of the melting curve analysis are provided by real-time thermocyclers has not been designed for automated evaluation or a high-throughput environment. To facilitate the interpretation of the results of a multiplex melting-curve-based PCR analysis, we designed a spreadsheet which transformed the output from the thermocycler into a user-friendly, color-enhanced tabular report. In addition to the presentation of the results, the spreadsheet integrates a convenient plate setup (arrangement of samples in the PCR plate) with a pipetting scheme for the reaction mixtures. The data processing and reporting tool consists of eight spreadsheets in Microsoft Excel 2000 (see Additional file 1).

      The first sheet "Plate Setup" can be customized according to the user's needs. The content of the plate setup sheet, including identifiers, is used by the interpretation sheet "Data Analysis". The second sheet "Pipetting Scheme" just helps to calculate pipetting, it does not contain any link to the remaining parts of the file. Raw data from the iCycler are copied into the third and fourth sheets: the CT table ("PCR Quantification" menu) is copied into the third Excel sheet called "CT Table" and the Peak table ("Melt curve" menu) is transferred into the fourth Excel sheet designated "Peak Table". These two sheets, together with the identifiers taken from the plate setup, are the basis for the "Data Analysis" sheet which presents the final results. The auxiliary sheet "Adaptation" contains merely some formatting schemes used by the "Data Analysis" sheet, it does not need to be dealt with by the user. The sixth sheet "Print Sheet" is an empty sheet which can be used for print format adjustments by the user after data from the "Data Analysis" sheet has been copied on to it, because editing options are limited within the "Data Analysis" sheet. The final sheet "Manual" consists of a manual describing the use of the spreadsheet. The spreadsheet file can be downloaded from [21].

      The information given for each well in the PCR plate consists of a well identifier, CT value, melting temperatures, areas under the peaks in the first derivative of the melting curve, and the fraction of the peak area in relation to the total area under the curve (Figure 2). Only these two peaks, corresponding to the products with the highest melting temperatures, are processed. The calculation of the areas under the peaks in the first derivative melting curves is an undocumented feature of the iCycler software: these values are not available within iCycler interface, but they are transferred together with other melting curve data when the table is copied to a spreadsheet via the clipboard. To work with other thermocyclers, the spreadsheet presumably will need to be modified according to the format used to export the melting curves.
      http://static-content.springer.com/image/art%3A10.1186%2F1471-2180-6-4/MediaObjects/12866_2005_Article_217_Fig2_HTML.jpg
      Figure 2

      Section of the interpretation sheet corresponding to 4 wells. Each result consists of a well position, sample identifier, CT value, melting temperatures, areas under the melting curve peaks, and fractions of these areas in relation to the total area under the melting curve. The melting data are calculated for the two products with the highest melting temperatures only. Fields are automatically highlighted in a species-specific manner (green: F. culmorum, yellow: F. graminearum) and a warning is issued by a red coloring of the fields when the peak size does not reach the preset absolute and relative minimal values. In addition, if there is an unexpected third melting-curve maximum at temperatures higher than 80°C (indicating the presence of additional PCR products from F. culmorum or F. graminearum), the corresponding well will be highlighted in orange to indicate that the user should check the raw data.

      The interpretation of the results is facilitated by an automatic highlighting of the important fields: the presence of F. culmorum (melting temperature between 90.0 and 92.0°C) is indicated by green and F. graminearum (melting temperature between 85.5 and 87.5°C) is colored yellow. If the peak area or the fraction of the peak area in relation to the total area under the melting curve does not reach the set quality limits (see previous section), the fields will be colored red to warn of potential false positives. These limits can be adjusted centrally in the head of the interpretation sheet, based on the intensity of the signals produced by the DNA standards.

      In some cases, there are more than two melting curve maxima at temperatures higher than 80°C where the PCR products of F. culmorum and F. graminearum are to be expected. In such a rare case, the corresponding well will be marked orange in the interpretation sheet. This is an indication that the raw data should be checked.

      Analysis of field samples

      The method was tested by analyzing 500 DNA samples extracted from the rachides of wheat heads with symptoms of FHB sampled throughout Germany in 2003. At least one of the two fungi was identified in all but 21 samples. Both pathogens were detected in 14 rachides. In 398 rachides, only F. graminearum could be detected and 67 samples showed only a F. culmorum signal. The latter samples were additionally analyzed for the presence of F. graminearum by PCR, in which the F. culmorum-specific primers were omitted to see whether the F. graminearum signals would be suppressed by F. culmorum DNA. This single-target analysis confirmed the results of duplex PCR for all 67 samples, demonstrating that the suppression of the F. graminearum signals by F. culmorum DNA did not occur in any of the 500 samples analyzed.

      Therefore, we suggest that a confirmatory analysis (by a single-target PCR or by gel electrophoresis of products of duplex PCR analysis) for samples positive for F. culmorum but not F. graminearum is unnecessary when working with wheat rachides. However, an extra effort for a confirmatory analysis is rather low (13% of samples in our case). The application of a duplex assay leads to a significant reduction of the sample number as compared to using two separate assays, even when samples positive for F. culmorum and negative for F. graminearum are analyzed a second time for confirmation.

      A standard method for the taxonomic characterization of field samples regarding their colonization with Fusarium spp. consists of the isolation of pure cultures on PDA plates, growing the isolates for 7 days on SNA plates or carnation leaf agar and the examination of spores in a microscope. An additional taxonomically relevant marker is the color of fungal colonies on PDA plates. We performed this analysis on 10 rachis samples from ears with FHB symptoms. All samples contained F. graminearum, which was confirmed by melting curve analysis-based PCR. In order to verify the PCR method for F. culmorum, we selected from a larger set 10 field samples previously identified as containing F. culmorum by morphological characters and subjected these samples to melting curve analysis-based PCR. All ten samples tested positive for F. culmorum.

      To compare both methods, morphological taxonomy requires cultivation for at least 12 days followed by time-consuming microscopic examination. In contrast, the PCR method delivers the results within two days and facilitates parallel processing.

      Conclusion

      The method developed in this study allows the simultaneous identification of F. graminearum and F. culmorum in one PCR without the use of doubly labeled hybridization probes or electrophoresis. Species-specific PCR products are differentiated by melting curve analysis. The detection limit for each single species was 5 pg of genomic DNA. An excess of one species impairs the detection limit for the other species due to the competition of the PCR products for binding of the fluorescent dye used for detection. Because F. culmorum products bind SYBR Green I better than F. graminearum products, large amount of F. culmorum DNA impairs the detection of F. graminearum. This effect was partially compensated for by increasing the dye concentration. This competition for dye binding does not play a significant role as long as the amount of F. culmorum DNA is low. The assay described in this study is suitable for fast and cost-effective analysis of a large number of samples for the presence of F. culmorum and F. graminearum. It will be particularly useful in epidemiological studies, as exemplified by the investigation of a large collection of rachides isolated from wheat ears exhibiting symptoms of FHB.

      Methods

      Fungal cultures

      The fungal strains used are listed in Table 1. The fungal cultures were maintained at 10°C on SNA medium (0.5 g l-1 MgSO4 × 7 H2O, 1 g l-1 KNO3 (Roth, Karlsruhe, Germany), 0.2 g l-1 sucrose, 0.2 g l-1 glucose, 0.5 g l-1 KCl, 1 g l-1 KH2PO4 and 15 g l-1 agar (Merck, Darmstadt, Germany)). The Fusarium spp. cultures for DNA extraction were grown for 10 days in 100 ml Potato Dextrose Broth (PDB, 24 g l-1; Scharlau, Barcelona, Spain). The fungal mycelium was harvested by filtration and freeze-dried.

      DNA isolation from pure fungal cultures grown in liquid media

      We used a variant of the CTAB method [22], simplified by others [e.g. [23]], and modified in our laboratory as follows. The lyophilized mycelium (200 mg) was pulverized in a mortar with a small amount of sand (Riedel-de Haen, Hanover, Germany). The ground mycelium was transferred into a 50-ml centrifugation tube containing 10 ml of TES buffer (100 mM Tris (Roth, Karlsruhe, Germany), 20 mM EDTA (Merck, Darmstadt, Germany), 1% (w/v) SDS (Biomol, Hamburg, Germany), pH set to 8.0 with HCL) and 4 mg proteinase K (Merck, Darmstadt, Germany). The lysis mixture was incubated at 45°C for 45 min and the content of the tubes was mixed thoroughly by turning the tubes every 10 min. Subsequently, 3.9 ml of 5 M NaCl (Fluka, Buchs, Switzerland) were added and the sample was mixed before adding 1.4 ml of 10% (w/v) cetyltrimethylammonium bromide (CTAB, Merck, Darmstadt, Germany). The samples were incubated for 10 min at 65°C, cooled in an ice/water bath, and then 10 ml chloroform-isoamyl alcohol (24:1, Roth, Karlsruhe, Germany) were added. After mixing the emulsion thoroughly, the tubes were kept over night in an ice/water-bath. The upper phase (including a small part of the lower phase) was transferred into another centrifugation tube by pipetting and spun for 20 min at 4,000 g (5°C). The watery phase was transferred to a new tube containing 10 ml isopropanol (Roth, Karlsruhe, Germany) at room temperature, mixed thoroughly and centrifuged for 10 min at 4,000 g and room temperature. The supernatant was decanted and the pellet was rinsed with 70% (v/v) ethanol (Roth, Karlsruhe, Germany), dried and dissolved in 4.5 ml TE (10 mM Tris, 1 mM EDTA, pH set to 8.0 with HCl). In spite of the large volume of buffer used to dissolve the DNA, the process took 6 h or longer in some extractions. Dissolving the pellet can be speeded up by heating the tubes to 40°C and then mechanically destroying the pellet. Undissolved material was removed by centrifugation; the DNA was concentrated by ethanol precipitation (1/10 vol. of 5 M ammonium acetate (Merck, Darmstadt, Germany) and 2.5 vol. of 96% (v/v) ethanol) and dissolved in 0.5 ml TE. The quality and quantity of DNA were assessed by electrophoresis in 0.8% (w/v) agarose gels (Cambrex, Rockland, ME, USA) prepared in TAE buffer (40 mM Tris, 1 mM EDTA, pH set to 8.5 with acetic acid, Riedel-de Haen, Hanover, Germany). The electrophoresis was carried out at 4 V cm-1 for 60 min. Double-stranded DNA was stained with ethidium (ethidium bromide, 2 mg l-1), (Applichem, Darmstadt, Germany). The gels were documented with the help of a digital imaging system (Vilber Lourmat, Marne la Vallee, France). Densitometry values were compared with those of Lambda Phage DNA (methylated, from Escherichia coli host strain W3110, Sigma, Taufkirchen, Germany). The densitometry was performed using Multi Analyst-Software (BioRad, Hercules, CA, USA).

      Isolation of fungi from wheat rachides

      To identify the infectious agent causing the FHB, rachides of symptomatic heads were isolated and dissected into pieces spanning 2–3 segments of the spike axis. The rachis samples were rinsed with tap water and surface-sterilized by incubating for 3 min in 3% (v/v) sodium hypochlorite solution (Roth, Karlsruhe, Germany). They were then dried, inserted into agar in PDA-plates (PDB + 1.5% (w/v) agar) and incubated at 20°C for 3–5 days. The mycelia growing out of the rachides were preserved by freezing in 15% (v/v) glycerol (Roth, Karlsruhe, Germany) at -80°C.

      DNA extraction from plant material

      The rachides were dried at 60°C over night and a single section (2–3 segments) was ground in a ball mill (Mixer Mill MM 200, Retsch, Haan, Germany) in a stainless steel container with a 20-mm, 32-g steel sphere (Retsch, Haan, Germany) for 30 s at maximum speed. The milling container was rinsed with 1.4 ml CTAB-buffer (10 mM Tris, 20 mM EDTA, 0.02 M CTAB, 0.8 M NaCl, 0.03 M N-laurylsarcosine (Fluka, Buchs, Switzerland), 0.13 M sorbitol, 1% (w/v) polyvinylpolypyrolidone, pH set to 8.0 with NaOH (Merck, Darmstadt, Germany). Two μl mercaptoethanol (Fluka, Buchs, Switzerland) and 20 μg proteinase K (from a stock solution 20 mg/ml) were added shortly before use and the mixture was transferred to a 2-ml tube. After an initial incubation period of 10 min at 42°C and a second incubation for 10 min at 65°C, during which the content of the tubes was mixed each 3 min, 0.8 ml of chloroform-isoamyl alcohol (24:1) were added. The samples were then thoroughly emulsified and centrifuged for 10 min at 5,000 g at room temperature. 750 μl of the upper phase were transferred to a 1.5-ml tube containing 500 μl isopropanol, mixed, incubated for 20 min at room temperature and centrifuged for 15 min at 15,000 g at room temperature. The pellet was washed with 70% (v/v) ethanol, dried and dissolved in 200 μl TE. To ensure that the DNA was dissolved completely, the sediment covered by the TE buffer was incubated over night at 4°C. The quality and concentration of DNA were assessed by agarose electrophoresis as described above.

      DNA extraction from the mycelia grown on agar plates

      To extract the DNA from a mycelium growing on the surface of a small agar plaque, the protocol for plant material (see above) was slightly modified. At the beginning of the procedure, the agar plaque was homogenized with 1 ml CTAB-buffer in a reciprocal mill in a 2-ml tube with 9 wolfram carbide spheres (diameter 3 mm, Retsch, Haan, Germany). At the end of the procedure, the DNA was dissolved in 100 μl TE-buffer. A 1:100-dilution was used in the PCR.

      PCR amplification

      The iCycler System (BioRad, Hercules, CA, USA) was used for amplification and melting curve analysis. Primers Fg16N F (ACAGATGACAAGATTCAGGCACA) and Fg16N R (TTCTTTGACATCTGTTCAACCCA) were used to amplify a 280 bp fragment specific for F. graminearum [14]. Primers OPT18 F (GATGCCAGACCAAGACGAAG) and OPT18 R (GATGCCAGACGCACTAAGAT) served to multiply a 472 bp fragment specific for F. culmorum [13]. All the primers were synthesized by Operon Biotechnologies (Cologne, Germany). Both primer pairs Fg16N F/R and OPT18 F/R were derived from randomly amplified genomic fragments, the function of target sequences is unknown.

      The amplification mix consisted of 1× NH4-reaction buffer (diluted from 10× NH4-reaction buffer: 160 mM (NH4)2SO4, 670 mM Tris-HCl, 0.1% (v/v) Tween-20, pH 8.8 at 25°C, Bioline, Luckenwalde, Germany), 5 mM MgCl2 (Bioline, Luckenwalde, Germany), 0.2 mM of each dATP, dTTP, dCTP and dGTP (Bioline, Luckenwalde, Germany), 0.3 μM of each primer, 0.7 u BIOTaq DNA polymerase (Bioline, Luckenwalde, Germany), 10 nM Fluorescein (BioRad, Hercules, CA, USA, diluted from 1 μM in 1× NH4-reaction buffer, to collect well factors, specific for the iCycler), 0.4× SYBR Green I solution (Invitrogen, Karlsruhe, Germany), 1 μl of template DNA and ddH2O up to 25 μl. The detection of amplification products, based on the fluorescence of SYBR Green I, was performed with filters set at 490 ± 10 nm for excitation and 530 ± 15 nm for emission.

      The PCR was performed with the following cycling protocol. Initial denaturation for 1.5 min at 95°C (the denaturation time is used by the thermocycler to collect data for the calculation of the well correction factors, which is needed to compensate for differences among wells of the microtitre plate) was followed by 35 cycles with 30 s at 94°C, 45 s at 64°C, and 45 s at 72°C. The final elongation was performed for 5 min at 72°C. During the PCR, the detection of fluorescence was carried out in the annealing step of each cycle. Following amplification, the melting curves were acquired by heating the samples to 95°C for 1 min, cooling to 55°C for one min and then slowly increasing the temperature from 65°C to 95°C at the rate of 0.5°C 30 s-1, with a continuous measurement of the fluorescence.

      When an electrophoretic analysis of PCR products was necessary, 4 μl of the reaction mixture were combined with 2 μl of loading buffer (100 mM EDTA, 50% (v/v) Glycerol, 0.025% (w/v) bromphenol-blue, Merck, Darmstadt, Germany) and loaded on a 1.7% (w/v) agarose gel prepared in TAE buffer. The electrophoresis and the documentation were carried out as described above.

      Data analysis

      Sample identifiers, CT values (threshold cycles) and the results of the melting curve analysis were exported from the thermocycler into the pre-formatted Excel spreadsheets, which facilitated the automatic data processing and reporting (see Additional file 1). The Excel file can be downloaded from [21], its structure and function is described in detail in the Data Processing paragraph of the Results section.

      Declarations

      Acknowledgements

      We thank Joachim Weinert for providing us with the plant material and for his continuing support and discussions. The authors acknowledge the International PhD Program for the Agricultural Sciences in Göttingen for supporting the first correction of the manuscript and Margaret Nemec-Groth for proofreading the revised manuscript. The work was funded by a grant from the German Federal Ministry of Consumer Protection, Food and Agriculture (Grant No. 02 HS 023).

      Authors’ Affiliations

      (1)
      Institute of Plant Pathology, University of Gttingen

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      © Brandfass and Karlovsky. 2006

      This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://​creativecommons.​org/​licenses/​by/​2.​0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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