- Methodology article
- Open Access
Specific and sensitive detection of the conifer pathogen Gremmeniella abietina by nested PCR
BMC Microbiology volume 5, Article number: 65 (2005)
Gremmeniella abietina (Lagerb.) Morelet is an ascomycete fungus that causes stem canker and shoot dieback in many conifer species. The fungus is widespread and causes severe damage to forest plantations in Europe, North America and Asia. To facilitate early diagnosis and improve measures to control the spread of the disease, rapid, specific and sensitive detection methods for G. abietina in conifer hosts are needed.
We designed two pairs of specific primers for G. abietina based on the 18S rDNA sequence variation pattern. These primers were validated against a wide range of fungi and 14 potential conifer hosts. Based on these specific primers, two nested PCR systems were developed. The first system employed universal fungal primers to enrich the fungal DNA targets in the first round, followed by a second round selective amplification of the pathogen. The other system employed G. abietina-specific primers in both PCR steps. Both approaches can detect the presence of G. abietina in composite samples with high sensitivity, as little as 7.5 fg G. abietina DNA in the host genomic background.
The methods described here are rapid and can be applied directly to a wide range of conifer species, without the need for fungal isolation and cultivation. Therefore, it represents a promising alternative to disease inspection in forest nurseries, plantations and quarantine control facilities.
Gremmeniella abietina (Lagerb.) Morelet is among the most destructive conifer forest pathogens in the northern hemisphere. This ascomycete fungus has a broad host range and causes stem canker and shoot dieback in many conifer species of the genera Pinus, Abies, Picea, Larix, Tsuga and Pseudotsuga [1–3]. In Sweden, G. abietina is found on the two native conifers Picea abies and Pinus sylvestris, as well as the introduced species, Pinus contorta [4–6].
Under favorable conditions, the life cycle of G. abietina takes two years to complete . The fungus may grow in the host as an endophyte for more than one year [7, 8], and infected trees can remain undetected for several years before manifesting visible symptoms. This poses difficulties for diagnosing disease at an early stage, using asymptomatic materials. Nursery seedling inspection and quarantine control require sensitive detection methods to limit the spread of the pathogen. Various morphological, physiological, pathogenic and biochemical characters and molecular markers have been employed to distinguish and characterize different races and types of the fungus, such as the North American race (NA), European (EU) race, and large tree type (LTT) and small tree type (STT) [9–15]. Most of these methods require isolation of the fungus in culture. This process is time consuming and is not appropriate for the detection of the fungus directly in infected but asymptomatic tissues.
Specific polymerase chain reaction (PCR) based detection methods are sensitive and robust techniques when used in plant disease diagnostic research. By employing specific PCR primers it is possible to selectively amplify the pathogen from infected tissues without the need for isolation. Among the different PCR techniques, nested PCR (a two-step PCR system in which the first round PCR products are subjected to a second round PCR amplification with more specific primers) is extremely sensitive and allows the detection of a fungal pathogen in minute amounts of infected material [16–18]. Recently, a nested PCR procedure was developed for the detection of G. abietina . This method is based on the polymorphic sites in the ribosomal DNA (rDNA) internal transcribed spacer (ITS). The ITS evolves rapidly and significant variations within a species or even within a genome have been reported for fungi and plants [20–23]. The specific markers from the ITS region are, therefore, potentially unstable because of the high mutation rate, and would need to be validated by extensive sample testing. The 18S rRNA gene is much more conservative compared to the ITS. Specific markers developed from this DNA region are less likely to be invalid due to intraspecific variations producing false negative detections.
The aim of the present study was to develop a stable, specific and sensitive method for detecting G. abietina infection in a broad range of hosts. There was no intention to differentiate between the races/types of the fungus, which would be difficult using this conserved DNA segment. The 18S rRNA gene was sequenced from G. abietina isolated from four host species. Highly specific primers were designed for G. abietina, based on extensive sequence homology analysis. Two nested PCR systems were developed for sensitive detection of the pathogen in host tissues. The first system employed fungal universal primers in the first round PCR, to enrich the fungal rDNA in the plant genomic background, followed by the specific amplification of G. abietina rDNA in the second round PCR. The second system employed G. abietina specific primers in both PCR rounds. Both approaches can detect the presence of G. abietina in composite samples with high sensitivity. This procedure is rapid and can be used directly on plant materials without the need for fungal isolation and subsequent cultivation. The methods described here represent a promising alternative to disease inspection in forest nurseries, plantations and quarantine control facilities.
Specific amplification of G. abietina
The fungal universal primer pair NS1/8 gave an amplification product of about 1700 bp for all of the 58 fungal strains tested, except Stachybotrys bisbyi which produced a larger PCR fragment (Fig. 2A). None of the 14 conifer species produced any amplicon with this primer pair, demonstrating the incompatibility of the primers to conifer 18S rDNA. The two pairs of specific primers, NS.Grem3/4 and NS.Grem5/6, amplified fragments of 1080 bp and 837 bp, respectively, only in G. abietina (Fig. 2B, C). No amplified products were generated from samples of any of the other fungi and plants with these two primer pairs. When used as inner primers in nested PCR, in combination with NS1/8 as outer primers, NS.Grem3/4 and NS.Grem5/6 gave amplification patterns identical to those in corresponding single-step PCR assays. The nested PCR using NS.Grem3/4 as outer primers and NS.Grem5/6 as inner primers gave an amplification pattern identical to that of NS.Grem5/6. No amplifications were observed for any of the plants and fungi except for G. abietina by any of the nested PCR (amplification pattern identical to Fig. 2B, C, thus not shown). These tests were performed in 3 – 5 replicates and the same specific amplification pattern was observed. The only difference between the nested PCR and the single-step specific PCR was that the amplification signals were stronger for the nested PCR. Thus, the prime pairs NS.Grem3/4 and NS.Grem5/6 are highly specific to G. abietina at annealing temperatures of 60°C and 56°C, respectively, both in single-step specific PCR and in two-step nested PCR. The lack of cross-amplification from any of the conifer species in either of the PCR systems demonstrates the scope for specific detection of the pathogen in all these hosts.
Evaluation of detection sensitivity
If the method is to be used for the early detection of infection in bulked samples in forest practice, a high level of sensitivity is required. Three different tests using a dilution series of G. abietina genomic DNA, with and without other background DNA, were conducted to compare the detection limits of the different PCR setups. The lowest DNA dilution that could provide a reproducible, unambiguous visible signal (in 3 μl PCR product) on ethidium bromide stained gels after electrophoresis was defined as the PCR detection limit.
Both the universal primers and the specific primers were tested first in single-step PCR assays. As shown in Fig. 3, all three pairs of primers can detect 0.15 ng DNA template. Among the three primer pairs, NS.Grem3/4 gave the strongest amplification signal indicating greater PCR efficiency than the other two. Nevertheless, the magnitude of detection sensitivity was the same for all three single-step PCR systems. By combining NS1/8 amplification with a second round amplification using either of the specific primer pairs in a nested PCR, the detection sensitivity dramatically increased. As little as 15 fg G. abietina DNA can be detected, approximately equivalent to a single fungal genome (Fig. 4a, b Test 1). The nested PCR using NS.Grem3/4 followed by NS.Grem5/6 gave a detection sensitivity similar to the two NS1/8-based methods though with even stronger amplification signal (Fig. 4c Test 1). Thus, the nested PCR is about 10,000 times more sensitive than the single step PCR assays.
To simulate the detection of G. abietina in a host's genomic background, the dilution series of G. abietina DNA was mixed with P. contorta DNA in equal volume and subjected to nested PCR analysis (Test 2, Table 2). The amplification resulted in a detection limit of 7.5 fg G. abietina DNA in the background of 6 ng of P. contorta DNA (i.e. a millionth of the quantity of host DNA, Fig. 4 Test 2). This test was performed in 3 – 5 replicates and the same magnitude of detection sensitivity was observed. This result is very similar to the detection limit achieved with G. abietina DNA alone (Fig. 4 Test 1). Thus, the presence of P. contorta DNA, even at very high relative concentrations, did not affect the efficiency of the nested PCR for detecting G. abietina.
To simulate the detection of G. abietina in a composite fungal background, the dilution series of G. abietina DNA was mixed with equal volumes of DNA from seven other fungi (Test 3, Table 2). In contrast to the previous two tests, this composite fungal DNA produced a visible amplification product (ca. 1.7 Kb in size) in all seven DNA dilution mixtures after the first round PCR with universal fungal primers (data not shown). This was due to the presence of background fungal DNA (ca. 9 ng) in all PCR mixes, no matter how little G. abietina DNA was present: the NS1/8 primers were compatible with all of the fungi in the mixture. Following the nested PCR, the detection limit was 0.075 ng G. abietina DNA in the background of 9 ng of other fungal DNA (i.e. about a hundredth of the fungal background DNA, Fig. 4a, b Test 3). This is a pronounced decrease in detection sensitivity compared to Tests 1 and 2. In contrast, the detection sensitivity of the nested PCR using the specific primers in both PCR steps was not affected by the presence of other fungal DNA, and gave the same detection sensitivity as in Test 1 and 2 (Fig. 4c Test 3).
Detection of G. abietina infection in Pinus contorta by nested PCR
To test the ability of the nested PCR systems to detect directly G. abietina infection in conifer trees, both brown and green needles from the infected trees of P. contorta were used for DNA isolation and PCR amplifications. All the nested PCR assays detected G. abietina in the needle samples from the infected twigs, which gave clear products of 1080 bp and 837 bp long with the inner primer pairs NS.Grem3/4 and NS.Grem5/6, respectively (Fig. 5). Neither the healthy P. contorta sample, nor the negative control produced any amplification product (Fig. 5). This verifies that the nested PCR product from the needle samples was amplified from G. abietina.
Gremmeniella abietina is widespread and causes severe damage to several conifer species. Large-scale forest epidemics have been reported from several continents [1, 6, 24–26]. The disease can spread through infected seedling nurseries. Intercontinental migration of the pathogen has also been reported as a result of international transportation of infected forest materials [27, 28]. Rapid detection methods that can be applied directly to asymptomatic tissues would be valuable for forest disease management. Previously reported methods for the morphological, biochemical, pathogenic or genetic characterization of this fungus require its isolation in culture [14, 28–31]. Such characterization allows the species to be subdivided into different races and types. However, host differentiation of the fungus is very limited and different races/types can coexist in the same geographic region and infect the same host species [27, 29, 30, 32, 33]. Therefore, for forest management, a general detection method for G. abietina, regardless of race/type, would be highly desirable. The identical 18S rDNA sequences from G. abietina of NA, EU, LTT and STT race/type isolated from different hosts indicate that, in this fungus, the sequence is conservative. Therefore, markers based on it exhibit general intraspecific applicability. A high specificity of the detection system is a prerequisite for its application in pathogen diagnosis. The specific primers developed in this study successfully detected G. abietina at species level and, thus, can function as rapid molecular markers for its identification and detection in composite fungal or plant samples without the need for isolation and cultivation. By verifying these DNA markers in a wide range of conifer species, the present study indicates that this detection system can be applied to all potential hosts, so it should be a valuable forest management tool across broad geographic regions.
Apart from the specificity, the sensitivity of a detection system is also important for early infection diagnosis, particularly in bulk samples. The sensitivity of a PCR assay depends on several factors, most importantly on the primer composition, structure and homology to the target molecule. In this study, when the three pairs of primers, NS1/8, NS.Grem3/4 and NS.Grem5/6, were tested on G. abietina DNA in single-step PCR with the same number of cycles, NS.Grem3/4 was found to be ca. 10 times more efficient than the other two pairs. The higher amplification efficiency of NS.Grem3/4 was consistent across all PCR assays (Fig. 4). Thus, careful design and selection of the primers can significantly improve the sensitivity of a PCR assay.
Nested PCR was employed in this study to improve the detection sensitivity of the pathogen in the hosts. The use of universal fungal primers in the first round PCR enriches the fungal rDNA in the plant genomic background, then, in the second round, there is selective amplification of the target pathogen. This approach is particularly attractive when screening for multiple fungal pathogens in minor amount of plant tissue. The nested PCR developed in this study can detect as little as a single fungal genome even in high background levels of pine DNA. The template DNA concentration and composition can influence the efficiency of nested PCR. In the presence of a high proportion of other fungal DNA the detection limit of nested PCR with outer primers being the fungal universal primers NS1/8 was significantly decreased, mainly due to primer competition in the first round PCR. Since the universal primers are compatible with all the fungi in the mixture, the very small proportion of G. abietina present (<0.1%) would have little chance to compete for the primers. The target template was, therefore, not enriched in the first round PCR, which in turn affected the nested PCR sensitivity. This problem can be avoided by employing G. abietina-specific primers in both PCR rounds. The nested PCR based on this approach showed high detection sensitivity for G. abietina even in a high background of other fungal DNA. In real situations, the detection systems would usually be used on either suspected G. abietina infections or asymptomatic tissues. DNA isolated from these materials would mostly comprise the host DNA and DNA from endophytic fungi. G. abietina may or may not be the major component among the endophytic fungi. Thus, the nested PCR system using specific primers in both PCR steps would satisfy both the specificity and sensitivity requirements for diagnostic applications.
In the analysis of plant samples, extraction of sufficient fungal genomic DNA is also important since the fungal tissue is usually present at low levels relative to the amount of host tissue. If this is not achieved, the detection sensitivity may be inadequate and could result in a false negative. For large conifer trees, the stage and degree of the disease development as well as tissue sampling position would also affect the pathogen's detection. In the early stage of infection the amount and the spread of fungal mycelia is limited. Tissues from parts of the tree other than the close vicinity of the infection site may give negative detection. Thus, for large conifers multiple samples should be collected from the suspected tree for examination.
This study developed rapid, specific and sensitive detection systems for the conifer pathogen G. abietina. The specific markers were validated for a broad range of conifer hosts and fungi. Thus, the detection methods described here could have broad applications in forest protection and disease management programs. It should be also recognized that different race/types of G. abietina have distinct epidemiological and aetiological attributes and the ideal molecular assay should allow the user to identify not only the species but also the races and biotypes. The assay reported here could be used in combination with other race or biotype-specific assays [12, 19], either in a multiplex or in a sequential fashion, to better understand the distribution and disease development of different G. abietina infections.
Fungal strains, plant species and genomic DNA extraction
Gremmeniella abietina was isolated from Pinus sylvestris, P. contorta, P. resinosa and P. banksiana (Table 1). Eleven isolates representing NA, EU, LTT and STT race/type were sequenced for the 18S rRNA gene (Table 1). Thirty-one other fungal strains, from 15 Ascomycota genera, were included in this study to determine the specificity of the markers developed for G. abietina (Table 2). These fungi were selected taking into account their 18S rDNA-based phylogenetic relationships to G. abietina , so both closely related and divergent groups were included. Pure cultures of these fungi were used for DNA isolation. Phylogenetic study has shown that species in the Helotiales and Rhytismatales are closely related to Gremmeniella  and many of them are plant pathogenies. We could not include them in the tests due to the lack of fungal material. However, 18S rDNA sequences of 40 species of Helotiales and Rhytismatales were downloaded from GenBank for sequence analysis.
Fourteen conifer species from three families (Pinaceae, Cupressaceae and Taxodiaceae) were selected to represent the potential range of hosts (Table 2). Since pines are most susceptible to this pathogen, eight pine species native to Asia, Europe and North America were selected, representing the two Pinus subgenera: Pinus and Strobus. Three other reported hosts of G. abietina were also included: Picea, Abies and Larix. Seeds of each species were germinated on sterilized Petri dish for 2 – 3 weeks and used for DNA isolation. Twigs from six infected trees of P. contorta were collected in the forest of northern Sweden. From these, both brown and green needles were collected for DNA isolation.
The fungal genomic DNAs were isolated from a pure culture of each strain following the procedure described by Wu et al . The genomic DNAs of the conifer species were isolated using a DNeasy® Plant Mini Kit (Qiagen, Germany). The pine needles were thoroughly homogenized, as follows. Two ceramic beads, 4 mm in diameter (Iuchi, Japan) and 350 mg of 0.5 mm zirconia-silica beads (Biospec Products, Inc., Bartlesville, OK, USA), were placed in a 2-ml microtube containing 100 mg pine needles. The tubes were placed in a Mini-Bead Beater (Biospec Products, Inc.) and homogenized for 2 min at the maximum speed. The rest of the isolation procedure followed that suggested by the manufacturer of the DNeasy Plant Mini Kit (Qiagen, Germany).
The 11 G. abietina isolates sequenced for the 18S rRNA gene produced identical sequences, with one exception of a single substitution among them (GenBank accession numbers see Table 1). This sequence was aligned with the 18S rRNA sequences of the 31 other fungal strains listed in Table 2 as well as 40 Helotiales and Rhytismatales fungi accessed from GenBank (data not shown). Unique sequence patterns to G. abietina were utilized to design specific primers. Two pairs of primers, NS.Grem3/4 and NS.Grem5/6 (Fig. 1), were designed for G. abietina. To ensure the specificity of the PCR assay, these primers were first screened against sequences in GenBank using the BLAST function to examine their possible homology to other fungi. The "Search for short, nearly exact matches" program was used. These primers showed >20% mismatches to any other fungal sequences in GenBank including the 40 18S rDNA sequences of Helotiales and Rhytismatales. Under stringent PCR conditions, a >20% mismatch between the target molecule and the primer would not result in specific amplification.
To increase the detection sensitivity, two nested PCR systems were developed. One approach used the 18S rDNA-based universal fungal primers NS1 and NS8  as outer primers in the first round PCR. Amplification was performed in a volume of 25 μl containing 1 – 5 ng of template DNA, 10 pmol of each primer, 0.75 U of Taq DNA polymerase (Invitrogen Life Technologies, USA), 200 μM of each dNTP (Amersham Pharmacia Biotech, USA), and 1.5 mM MgCl2. PCR conditions were optimized to comprise an initial denaturation of 3 min at 95°C, followed by 36 cycles of 94°C for 30 s, 45°C for 45 s and 72°C for 90 s, followed by a final extension of 10 min at 72°C. A 1 μl aliquot of the first round PCR product was used as the template in the second round, using the G. abietina-specific primers NS.Grem3/4 or NS.Grem5/6. The PCR conditions for these two specific primer pairs were similar to the NS1/8 amplification, except that the PCR cycles were decreased to 25 in the second round PCR and the annealing temperatures were 60°C and 56°C for NS.Grem3/4 and NS.Grem5/6, respectively. In another approach, G. abietina-specific primer pair NS.Grem3/4 was used in the first round PCR and NS.Grem5/6 in the second round. The PCR procedure is the same as that described above. A negative control was included in all PCR runs. PCR products (3 μl) were analyzed by electrophoresis on 1.4% agarose gels in 1× TAE buffer. The gels were stained with ethidium bromide and visualized under UV light using a Gel Doc 2000 fluorescent gel documentation system (Bio-Rad, USA).
To determine the detection limit of the nested PCR, three DNA dilution series were created and subjected to the PCR analysis (Table 3). First, a 10-fold dilution series of G. abietina genomic DNA was tested (Test 1). The initial DNA concentration of 5 ng/μl was quantified using a GeneQuant Pro RNA/DNA Calculator spectrophotometer (Amersham Biosciences, Sweden). To simulate the detection of infection in a host, this dilution series of G. abietina DNA was mixed with genomic DNA (4 ng/μl) of P. contorta in equal volume (Test 2). A 3 μl aliquot of this mixture at each dilution (equivalent to 1.5 μl of G. abietina DNA solution plus 1.5 μl of P. contorta genomic DNA) was used in each PCR (Test 2). A third test was conducted to simulate the detection of G. abietina in a mixed fungal background. For this, genomic DNAs of seven fungi Aspergillus ochraceus, Penicillium brevicompactum, Trichoderma viride, Eurotium herbariorum, Fusarium culmorum, Ulocladium botrytis and Phacidium infestans were mixed in equal quantities. The final concentration of this composite DNA was 6 ng/μl. The 10-fold dilution series of G. abietina DNA was mixed with this composite fungal DNA in equal volume for PCR analyses (Test 3). A 3 μl aliquot of this mixture at each dilution was used in each PCR (Test 3). To compare the sensitivity and specificity of single-step PCR and nested PCR, the 10-fold dilution series of G. abietina genomic DNA was also analyzed directly with the inner specific primers NS.Grem3/4 and NS.Grem5/6 in a single-step PCR. All the experiments conducted in this study were repeated 3 – 5 times.
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We thank Prof Antti Uotila, Helsinki University, Finland, and Dr Gaston Laflamme, Laurentian Forestry Centre, Canadian Forest Service, for providing the Gremmeniella isolates from Finland and US and Canada. We also thank Prof Margareta Karlman, Dr Jesper Witzell and Andreas Bernhold, the Swedish University of Agricultural Sciences, for collecting field samples of Gremmeniella in the northernmost of Sweden. This study was supported by grants from the Swedish Research Council for Environment, Agricultural Sciences and Spatial Planning (Formas 24.0372/99), the Swedish Council for Working Life and Social Research (FAS) and the Swedish University of Agricultural Sciences.
XRW and QYZ designed and conducted the experiments. PH, provided the Swedish G. abietina isolates, and collected and identified the infected P. contorta twigs. All authors read and approved the final manuscript.
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Zeng, Q., Hansson, P. & Wang, X. Specific and sensitive detection of the conifer pathogen Gremmeniella abietina by nested PCR. BMC Microbiol 5, 65 (2005). https://doi.org/10.1186/1471-2180-5-65
- Polymerase Chain Reaction
- Internal Transcribe Spacer
- Polymerase Chain Reaction Assay
- Nest Polymerase Chain Reaction
- Conifer Species