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Article

Development of a Real-Time PCR Assay for the Early Detection of the Eucalyptus Pathogen Quambalaria eucalypti

by
Roberto Faedda
1,* and
Gabriela B. Silva
2
1
Department of Agriculture, Food and Environment, University of Catania, 95123 Catania, Italy
2
Amarelo Agroflorestal Ltda., Porto Alegre 90020180, Brazil
*
Author to whom correspondence should be addressed.
Forests 2024, 15(2), 375; https://doi.org/10.3390/f15020375
Submission received: 4 January 2024 / Revised: 26 January 2024 / Accepted: 16 February 2024 / Published: 17 February 2024

Abstract

:
Quambalaria eucalypti is a fungal pathogen that causes leaf spot, shoot blight, and stem canker on Eucalyptus spp. Early diagnosis of the disease is difficult, although the symptoms are clear in its advanced phase. To enable a rapid and sensitive screening of asymptomatic or latently infected plant material for Q. eucalypti, a SYBR green-based real-time PCR assay targeting the partial histone-H3 region was developed. The assay demonstrated specificity for Q. eucalypti, not showing cross-reactivity with other Quambalaria species or the other eucalyptus fungal pathogens tested. The primers developed in this study ensured high analytical sensitivity, allowing the detection of Q. eucalypti DNA concentrations as low as 10 fg DNA from asymptomatic plants. The robustness and efficacy of the assay was demonstrated by interlaboratory comparisons with similar results. This newly developed quantitative PCR assay can be used for more comprehensive epidemiological investigations, testing the plant material in known Q. eucalypti distribution areas for early management strategies, or collecting data for resistance breeding programs.

1. Introduction

The genus Eucalyptus L’Hér., which includes about 900 species in the family Myrtaceae, is native to Australia and its neighbouring islands [1]. Most eucalypts plants are evergreen woody perennial shrubs and tall trees that grow rapidly, reaching heights of up to about 90 metres. At present, eucalyptus plantations are the most widely planted broadleaf forests in the world, with the majority located in tropical and temperate regions. They are also widely used in afforestation programmes [2]. It is estimated that the total area of eucalyptus plantations worldwide exceeds 22.57 million hectares, based on a survey conducted in 65 countries with extensive plantations [3]. Eucalyptus plants have been well known since ancient times due to the numerous uses of their components (wood, fibres, cellulose, dyes, pulp, rubber, resin, essential oils), which are used in various sectors such as construction, pharmaceuticals, and plant protection [4].
Among the fungal diseases affecting eucalyptus forestry in various regions of the world are those caused by species of the genus Quambalaria (Quambalariaceae, Basidiomycota). These species comprise Q. pitereka, Q. pusilla, Q. rugosae, and Q. tasmaniae, which affect leaves and shoots, and Q. coyrecup, which causes cankers on stems, branches, and petioles [5]. Of particular relevance is Quambalaria eucalypti (M.J. Wingfield, Crous, & W.J. Swart) J.A. Simpson [6], which commonly infects eucalyptus plants in nurseries but also in plantations [7,8]. In particular, this pathogen is known to cause significant productivity losses in the cuttings of the mini-clonal hedges used for vegetative propagation in nurseries [9].
This fungal species was originally described as Sporothrix eucalypti, which causes leaf spots and shoot dieback on a clone of Eucalyptus grandis in South Africa [6]. The same fungus was later associated with stem cankers in plantations of Eucalyptus globulus in Uruguay [10], while in Brazil it was reported to cause stem girdling on seedlings of E. globulus and leaf and shoot blight on the ministumps of a hybrid of Eucalyptus saligna × E. maidenii [11]. During the same period, the genus Sporothrix, formerly placed in the genus Ophiostoma [12], was transferred to the new genus Quambalaria following an updated systematic revision study [13]. Disease caused by Q. eucalypti has subsequently been reported from Australia in E. grandis, E. dunnii, E. longirostrata, E. grandis, and E. grandis × E. camaldulensis [14]; Portugal in E. globulus [15]; China in E. urophylla × E. grandis [16]; and, most recently, Indonesia in E. pellita × E. grandis, E. pellita × E. brassiana, and E. pellita × E. urophylla [8].
Q. eucalypti is currently identified through the isolation of the fungus and species recognition via a morphological examination and phylogenetic analysis, using both the ITS and LSU regions of its ribosomal DNA. However, these techniques are laborious, costly and time-consuming [17]. Quantitative PCR (qPCR) is one of the most widely used molecular methods, as it does not require post-amplification processing steps (e.g., gel electrophoresis), which are required in conventional endpoint PCR (cPCR), and it allows for a specific quantification of the target DNA in the sample [17]. As knowledge of the life cycle and epidemiology of Q. eucalypti in the host is still limited, the early detection and quantification of this pathogen is crucial in order to plan an appropriate disease management strategy.
To date, no studies have been conducted to rapidly detect and quantify Q. eucalypti in eucalyptus plant tissues using a molecular approach. Therefore, the aim of this study was to develop and validate a specific and sensitive real-time PCR assay for the early detection and quantification of Q. eucalypti in eucalyptus plants.

2. Materials and Methods

2.1. Fungal Isolates and Plant Materials

To validate the real-time PCR assay, 30 isolates of Q. eucalypti and 19 isolates of nontarget species from Eucalyptus spp. from various geographical regions were used (Table 1). The Q. eucalypti isolates from Brazil were obtained from leaves of E. globulus seedlings in two nurseries located in the states of Espírito Santo and Rio Grande do Sul in 2021 and 2022, respectively. Uruguayan isolates were obtained in 2004 from E. globolus twigs with cankers in a plantation located in the west littoral region. The non-target isolates included 4 other Quambalaria species and 9 isolates from different species of genera associated with foliar diseases of Eucalyptus spp. The identifications of the Quambalaria isolates were confirmed by sequencing their ITS and LSU regions using the primer pairs ITS1F-ITS4 [18,19] and LR0R-LR5 [20,21], respectively. Isolates from species of other genera were identified by ITS sequencing using the ITS5-ITS4 primer pair [19], while, for some of them, the beta-tubulin and elongation factor genes were also sequenced using the primers Bt2a and Bt2b [22] and EF1-728F [23] and EF2 [24], respectively. The isolates were maintained as monosporic cultures in tubes containing malt extract agar (MEA) and stored at 4 ± 1 °C.
To confirm the sensitivity of the qPCR assay using infected plant material, three randomly selected Q. eucalypti isolates (i.e., CBS 118844, EGES-5, and UY198) were inoculated on 3-month-old potted E. globulus plants. For each isolate, five plants were inoculated by manually spraying a suspension of 1 × 106 mL−1 spores onto a surface that was previously pricked with a sterile 0.5 mm diameter syringe needle. The spores were obtained from 7-day-old fungal colonies grown on potato dextrose agar (PDA) under near-ultraviolet light. Five control plants were sprayed with sterilised distilled water instead. Each seedling was covered for 48 h with a clear plastic bag and kept in a growth chamber at 30 °C for 14 days under a 12 h photoperiod and watered as needed. The material from the inoculated plants was then collected by sorting the samples into 4 different batches based on disease severity. An empirical symptom scale from 0 to 3 was assessed visually from the appearance of the first symptoms such as leaf spot or stem canker (0 = no symptoms, 1 = 1%–25% leaf spot or stem canker, 2 = 26%–75% leaf spot or stem canker, 3 = 76%–100% shoot and leaf blight or clear signs of the pathogen). Symptomatic and non-symptomatic plant material were kept refrigerated until DNA extraction and then processed either separately or pooled and combined with healthy stem tissues sampled from a control plant in a 1:10 weight ratio in order to verify the level of sensitivity of the assay in infected tissues.

2.2. Genomic DNA Extraction and Quantification

DNA extraction of fungal isolates was carried out on mycelium grown on PDA for 9 days at 24 ± 1 °C in Petri dishes, and that of eucalyptus plants was carried out on leaf and stem samples. Both fungal and plant samples were frozen in liquid nitrogen and ground in a mortar with a pestle. DNA was extracted from 50 mg and 100 mg of each mycelium and plant tissue sample, respectively, using the Plant/Fungi DNA Isolation Kit (Norgen Biotek Corp., Thorold, ON, Canada) according to the manufacturer’s instructions. Extract DNA was quantified using a NanoDrop 2000 spectrophotometer (Thermo Fischer Scientific, Waltham, MA, USA) and adjusted to a concentration of 10 ng µL−1. Genomic DNA with an A260/A280 ratio between 1.8 and 2.0 was used for PCR analyses.

2.3. Primer Design and cPCR Amplification

The Primer-Blast program [https://www.ncbi.nlm.nih.gov/tools/primer-blast/index.cgi (accessed on 4 January 2024)] [25] was used to design the specific primers for the histone-H3 gene selected as the target locus. The sequences of the primers were searched against the whole draft genome of Q. eucalypti isolate CBS 118844 (Genbank accession no. RRYC01000000) [26]. The expected PCR product size parameter was set at 150–400 bp and the optimal melting temperature at 60 ± 3 °C. In silico specificity was verified using Primer-Blast, while the potential formation of dimers and hairpin structures was checked using the tool OligoAnalyzer (https://eu.idtdna.com/calc/analyzer, accessed on 4 January 2024). PCR primers were synthesised and supplied by Invitrogen.
The designed primer pair was tested for its ability to amplify the expected product and to confirm specificity by gradient endpoint cPCR using DNA samples from all the fungal isolates listed in Table 1. The amplification reactions were performed on an Arktik thermocycler (Thermo Fischer Scientific, Waltham, MA, USA) in a final volume of 25 µL, containing 12.5 µL of AccuPower PCR Premix (Bioneer, Alameda, CA, USA), 1 µL of each primer (10 µM), 1 µL of DNA (10 ng µL−1), and DNase-free water to make up the final volume. Cycling conditions were as follows: an initial preheat at 95 °C for 2 min; followed by 35 cycles of denaturation at 94 °C for 1 min; annealing at 58, 59, 60, 61, or 62 °C for 30 s; extension at 72 °C for 3 min; and followed by a final extension at 72 °C for 7 min. PCR products were detected on 2% agarose gel containing SYBR safe DNA gel stain (Life Technologies, Carlsbad, CA, USA) in a Tris-borate-EDTA buffer with lane markers and a 100 bp small fragment ladder (Fermentas, Waltham, MA, USA). Amplicons were purified using ExoSAP-IT (Affymatrix Inc., Santa Clara, CA, USA) and sequenced in both directions by an external service (Macrogen, Amsterdam, The Netherlands). All the chromatograms generated were checked for correct base calling using FinchTV v.1.4.0. The sequences were aligned to the target histone-H3 sequence of Q. eucalypti isolate CBS 118844 using Clustal 2.1 software to confirm the match and to detect possible polymorphic bases.
A duplex PCR assay was also performed to reveal any false negatives that might have occurred due to PCR inhibition. The primers from this study and those of the cyclin-dependent kinase (CDK8) gene [27] were used to co-amplify both fungal and plant DNA in a single reaction, with the CDK8 gene (196 bp) serving as a plant internal control. The PCR reaction followed the same procedure as the cPCR, but with 1.5 μL of a DNA mixture from Q. eucalypti isolate CBS 118844 and eucalyptus leaf and stem used as the template. The DNA mixture was composed of 0.5 μL fungal DNA, 0.5 μL leaf DNA (100 ng μL−1), and 0.5 μL stem DNA (100 ng μL−1). Five 10-fold dilutions (10−2 to 102) of fungal DNA (10 ng μL−1) were tested.

2.4. SYBR Green Real-Time PCR Optimization

To optimise the assay, the qPCR reactions were performed in a gradient using an iCycler iQ Real-Time PCR DetectionSystem (Bio-Rad Laboratories, Inc., Hercules, CA, USA) in a final volume of 25 μL, which contained 12.5 μL of Platinum SYBR Green qPCR SuperMix-UDG (Life Technologies, Carlsbad, CA, USA), 1 µL of each primer (8, 10, or 12 µM), 1 µL of DNA (10 ng µL−1) from CBS 118844, and DNase-free water to make up the final volume. Thermal cycling parameters consisted of an initial preheating step for 5 min at 95 °C followed by 40 cycles at 95 °C for 30 s, annealing at 59, 60, 60.5, 61, 61.5, 62, or 62.5 °C for 30 s, and extension at 72 °C for 30 s for data collection and real-time analysis; then, the set point temperature was increased after cycle 2 from 72 to 95 °C for 30 s in 0.5 °C increments to construct a melting curve and perform data collection and analysis.

2.5. Real-Time PCR Assay’s Specificity and Sensitivity

The qPCR assay’s specificity was tested using DNA samples from the Q. eucalypti isolates listed in Table 1. The real-time PCR reaction conditions and thermocycling settings were optimized as follows: initial denaturation at 95 °C for 3 min, followed by 40 cycles of denaturation at 95 °C for 30 s, annealing at 60 °C, and extension at 72 °C for 30 s. The sensitivity of the qPCR assay was determined by testing six 10-fold dilutions (100 to 10−5) of DNA (100 pg μL−1) from Q. eucalypti isolate CBS 118844 in sterile water or in DNA extracted from eucalyptus leaf (10 ng μL−1) or stem (10 ng μL−1). The sensitivity test was conducted in triplicate for each dilution and three real-time PCR runs were carried out for each sample using the previously mentioned thermocycle conditions and DNA templates. Standard curves were generated by graphing the mean cycle quantification (Cq) values on the y-axis and the concentration of fungal DNA on the x-axis. The efficiency of the PCR assay was determined using the following equation: E = (101/−S) − 1 [28].

2.6. Interlaboratory Tests

The mean Cq values and standard deviation of the intra- and inter-assay results were used to calculate the coefficient of variation (CV). The CV for intra-assay repeatability was assessed by conducting ten technical replicates of the same reaction using four dilutions of CBS 118844 isolate DNA in water (10, 1, 0.1, and 0.01 pg μL−1). The CV between assays was determined from the results of three independent blind panel experiments (three technical replicates of each assay) performed on different real-time PCR machines (i.e., the BioRad MyCycler, Bio-Rad iCycler iQ5 Multicolor Real Time PCR Detection System, and Applied Biosystems ProFlex PCR System) using the same reagents as for assay optimisation. The reproducibility test was performed by three distinct operators using the same series of dilutions of the DNA as described previously. Additionally, to validate the applicability of the qPCR assay, the test was also carried out in an external laboratory on a different real-time PCR instrument (i.e., StepOnePlus qPCR system, Applied Biosystems, Waltham, MA, USA) using different set of reagents.

3. Results

3.1. Primer Design and cPCR Amplification

A primer pair was successfully developed for a histone-H3 gene, which was used as a target locus in the genome of the Q. eucalypti isolate CBS 118844. The designed specific primers (QEH3-F: 5′-CTTAGGACTTCTCGCCTCGG-3′ and QEH3-R: 5′-CTGAGCTCCTCATCCGCAAG-3′) amplify a DNA segment of 237 bp (Figure 1). The comparative sequence analysis, conducted on nucleotide database from NCBI GenBank, showed that the designed primers are specific to Q. eucalypti and do not share any identical or similar sequences with those of other fungi.
The QEH3-F/QEH3-R primer pair successfully generated an amplicon of the expected length for all Q. eucalypti isolates tested in this study, using gradient end-point PCR. In contrast, the non-target isolates of other Quambalaria species and those of different genera were not amplified. The direct sequencing of the PCR products from these isolates showed 100% identity with the targeted histone-H3 region and no ambiguous nucleotide sites, demonstrating the specificity of the primers and the absence of polymorphisms.
The duplex PCR assay amplified both the Q. eucalypti histone-H3 and the eucalyptus CDK8 targets from mixed DNA samples of the fungus and plant tissues, with no evidence of inhibition (Figure 2).

3.2. SYBR Green Real-Time PCR Optimization

The target was successfully amplified using a gradient real-time PCR with the newly designed primers. At different annealing temperatures (59 to 62.5 °C) slight variations in the Cq values were observed. For further assay development, an annealing temperature of 60 °C was selected. At this temperature, the lowest Cq values and detection curves with high relative fluorescence were obtained. By assaying different primer concentrations (8, 10, and 12 µM), it was observed that the 8 µM concentration resulted in lower Cq values. Therefore, a concentration of 8 µM was selected for subsequent assay validation.

3.3. Real-Time PCR Assay Specificity and Sensitivity

Like the cPCR, the new real-time PCR assay detected all 30 Q. eucalypti isolates without cross-reacting with any of the 19 non-target fungal isolates or plant DNA. The primers QEH3-F and QEH3-R generated a single absorbance intensity peak for all Q. eucalypti isolates. The melting curve analysis of the target DNA samples showed melting points ranging from 86 to 87.2. No rise in absorbance was observed for the non-target fungal isolates or the negative control (Table 1).
The assay’s analytical sensitivity using a 10-fold serial dilution of Q. eucalypti DNA in water or in eucalyptus leaf or stem DNA revealed that the assay was capable of detecting pathogen DNA levels as low as 10 fg. The sensitivity test showed a linear curve response from 100 pg to 10 fg DNA (Figure 3) with PCR efficiencies of 96 and 97% for pathogen DNA diluted in water and plant tissue, respectively.
The pathogen was successfully detected using DNA obtained from Q. eucalypti-infected leaves and the artificially inoculated stems of eucalyptus seedlings. The Cq values obtained from the tissues of symptomatic plants were lower than those of asymptomatic plants, decreasing from 27.70 to 24.81 with increasing disease severity. However, amplification was also observed in asymptomatic samples with an average Cq value of 33, which was equivalent to about 18 fg of pathogen DNA. No significant differences in Cq values were observed between the Q. eucalypti isolates assayed (Table 2). The qPCR assay detected Q. eucalypti even in infected tissues mixed with healthy plant material in a ratio of 1:10. The fungus was not detected in DNA samples from non-inoculated eucalyptus plants.

3.4. Interlaboratory Tests

The test repeatability of the qPCR assay resulted in no or minimal Cq value variation. Furthermore, the intra-assay CV for the four tested dilutions of Q. eucalypti DNA remained consistently low. The assay’s reproducibility testing showed only a slight difference in Cq values, with a low inter-assay CV (Table 3). The independent laboratory testing of the assay further confirmed its reproducibility.

4. Discussion

Among the molecular diagnostic techniques available, qPCR is more specific, more sensitive, and less time-consuming than conventional endpoint PCR [29,30]. This technique enables the quantification of pathogens and has been used for various fungal plant pathogens [31,32,33], including Q. eucalypti [5]. Duong et al. (2022) developed a qPCR assay for Q. eucalypti using the multi-copy ITS region, but it has not been tested on infected host tissue. In this study, a SYBR green real-time PCR assay for the detection and quantification of Q. eucalypti in eucalyptus plants was successfully developed. The use of a qPCR detection method based on single-copy genes allows for a higher accuracy in quantitative analyses [17], therefore the single-copy histone-H3 gene was selected for the preliminary endpoint PCR assay. The primers (QEH3-F and QEH3-R) were designed against a portion of the histone-H3 ORF identified in the draft genome of the Q. eucalypti isolate CBS 118844. The newly developed assay was shown to be specific for Q. eucalypti by testing a panel of 30 Q. eucalypti isolates and 19 non-target species associated with Eucalyptus spp.
High-sensitivity detection methods depend on the pathogen’s abundance in the plant, particularly in cases of asymptomatic latent infections. This assay was able to detect the pathogen in both symptomatic and asymptomatic infected eucalyptus plants. The use of the histone-H3 region ensured high analytical sensitivity, allowing for the detection of Q. eucalypti DNA concentrations in symptomatic plants ranging from approximately 0.3 to 1.6 pg, depending on the disease’s severity, while in asymptomatic plants the pathogen can be detected at levels as low as 10 fg DNA, which is the limit of detection for the assay. Additionally, the pathogen was also detected when asymptomatic infected eucalyptus leaf and stem tissues were mixed with healthy plant material in a ratio of 1:10, demonstrating the high sensitivity of the assay. To enable the simultaneous detection of the pathogen and plant internal control, the cPCR assay was duplexed with an assay targeting the plant’s CDK8 gene [27]. Although duplexing or multiplexing can compromise the sensitivity of pathogen-specific assays [34], the duplexed cPCR assay was able to detect both Q. eucalypti and the plant internal control in a single reaction without any interference or reduction in sensitivity. Furthermore, the robustness and effectiveness of the test in other laboratories was demonstrated by the comparable results obtained in interlaboratory tests.

5. Conclusions

In conclusion, this newly developed real-time PCR assay can be used for conducting more detailed epidemiological studies and testing plant material in known Q. eucalypti distribution areas for early management practices. In addition, it can be applied to resistance selection programmes, because a large number of genotypes need to be tested for the disease in an exhaustive and time-consuming manner. Lastly, this SYBR green-based qPCR assay also offers cost advantages, as it is less expensive than other diagnostic tools such as qPCR using fluorescent probe chemistry or real-time lamps [35,36].

Author Contributions

Conceptualization, R.F.; methodology, R.F. and G.B.S.; software, R.F. and G.B.S.; validation, R.F. and G.B.S.; formal analysis, R.F. and G.B.S.; investigation, R.F. and G.B.S.; resources, R.F. and G.B.S.; data curation, R.F. and G.B.S.; writing—original draft preparation, R.F.; writing—review and editing, R.F.; supervision, R.F.; project administration, G.B.S.; funding acquisition, G.B.S. All authors have read and agreed to the published version of the manuscript.

Funding

This research received no external funding.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Acknowledgments

The authors thank Hui Yang for kindly providing several Q. eucalypti isolates and Barbara Gonçalves, Júlio de Castilhos, and Ricardo Gomes for carrying out the blind panel testing.

Conflicts of Interest

The authors declare no conflicts of interest. The funders had no role in the design of the study; in the collection, analyses, or interpretation of data; in the writing of the manuscript; or in the decision to publish the results. Gabriela B. Silva is employed by Amarelo Agroflorestal Ltda. His employer’s company was not involved in this study, and there is no relevance between this research and their company.

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Figure 1. The nucleotide sequence of histone-H3 of Quambalaria eucalypti, with the flanking regions of the designed primers shown in the red boxes.
Figure 1. The nucleotide sequence of histone-H3 of Quambalaria eucalypti, with the flanking regions of the designed primers shown in the red boxes.
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Figure 2. Agarose gel electrophoresis of duplex PCR amplified products of the histone-h3 portion of Quambalaria eucalypti and the CDK8 gene of Eucalyptus globulus used as an internal control. Lanes 1–4: mixed DNA samples from Q. eucalypti isolates (1 = CBS 119680, 2 = EGES-5, 3 = UY19834, 4 = CBS 118844) and plant tissues. Lane 5: DNA from plant tissues. Lane 6: DNA from Q. eucalypti CBS 118844. Lane 7: nuclease-free water. Lane 8: 50 bp DNA ladder. Size of marker bands is indicated in bp.
Figure 2. Agarose gel electrophoresis of duplex PCR amplified products of the histone-h3 portion of Quambalaria eucalypti and the CDK8 gene of Eucalyptus globulus used as an internal control. Lanes 1–4: mixed DNA samples from Q. eucalypti isolates (1 = CBS 119680, 2 = EGES-5, 3 = UY19834, 4 = CBS 118844) and plant tissues. Lane 5: DNA from plant tissues. Lane 6: DNA from Q. eucalypti CBS 118844. Lane 7: nuclease-free water. Lane 8: 50 bp DNA ladder. Size of marker bands is indicated in bp.
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Figure 3. The real-time PCR assay standard curve of serial dilutions of Quambalaria eucalypti DNA in water (a) and in combination with eucalyptus DNA (b). A linear trend was observed for both dilution series from 10 to 105 fg DNA. The standard deviation is indicated by the vertical bars, while Cq corresponds to the quantification cycle.
Figure 3. The real-time PCR assay standard curve of serial dilutions of Quambalaria eucalypti DNA in water (a) and in combination with eucalyptus DNA (b). A linear trend was observed for both dilution series from 10 to 105 fg DNA. The standard deviation is indicated by the vertical bars, while Cq corresponds to the quantification cycle.
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Table 1. Fungal isolates examined in this study and results of specificity testing using the qPCR assay.
Table 1. Fungal isolates examined in this study and results of specificity testing using the qPCR assay.
SpeciesIsolate aHostOriginCq b Value ± SD cTm (°C) d
Quambalaria eucalyptiCBS 118844 eEucalyptus grandisSouth Africa21.54 ± 0.7187.2
CBS 119680 f21.30 ± 0.5287.0
ITEF/193720.48 ± 0.3586.1
ITEF/199920.43 ± 0.1486.8
EGES-1Eucalyptus globulusBrazil21.14 ± 0.3586.1
EGES-220.87 ± 0.6287.1
EGES-520.91 ± 0.5387.0
EGES-1022.07 ± 0.2686.0
EGES-1122.09 ± 0.8886.2
EGES-1321.30 ± 0.1387.0
EGES-1721.58 ± 0.4486.9
EGES-1922.43 ± 0.4686.1
EGES-2022.46 ± 0.3586.2
EGES-2222.45 ± 0.2187.2
RGS-121.41 ± 0.5786.3
RGS-221.35 ± 0.2287.0
RGS-321.47 ± 0.3187.2
RGS-421.29 ± 0.8186.2
RGS-520.93 ± 0.7387.0
RGS-621.02 ± 0,5486.6
SUL/01Uruguay21.27 ± 0.5286.7
SUL/0322.05 ± 0.5486.8
UY19821.24 ± 0.3186.3
UY19921.63 ± 0.6187.0
MATY 466519.98 ± 1.0786.5
MATY 475120.15 ± 0.8686.5
MATY 475221.73 ± 0.2486.7
MATY 500121.65 ± 0.3586.6
3421-S19.82 ± 1.1387.0
3422-T21.36 ± 0.5287.1
Quambalaria cyanescensCBS 876.73Eucalyptus paucifloraAustralian/an/a
IMI 178848n/an/a
EU-PAn/an/a
Quambalaria piterekaCERC/03/08Eucalyptus sp.Chinan/an/a
CERC/04/08n/an/a
CERC/05/05n/an/a
Quambalaria simpsoniiCBS 124772 fEucalyptus tintinnansAustralian/an/a
EU-TI3n/an/a
Quambalaria tasmaniaeCBS 145602 aEucalyptus sp.Australian/an/a
7608n/an/a
Alternaria alternataCYC-60Eucalyptus grandisUruguayn/an/a
Calonectria spathulataCS11340Eucalyptus grandisBraziln/an/a
Colletotrichum boninenseMWJ-43Eucalyptus grandisSouth African/an/a
Cryphonectria havanensisGSEG_95Eucalyptus grandisBraziln/an/a
Cylindrocladium candelabrum11356Eucalyptus sp.Braziln/an/a
Cylindrocladium pteridisIMI 354530Eucalyptus grandisBraziln/an/a
Neopestalotiopsis eucalyptorum912/88Eucalyptus globulusPortugaln/an/a
Phomopsis arnoldiaeCR 345-96Eucalyptus grandisUruguayn/an/a
Pseudocercospora eucalyptorumBBR 5689Eucalyptus globulusSpainn/an/a
a CBS = cultures from Westerdijk Fungal Biodiversity Institute, Netherlands; b Cq = quantification cycle; c SD = standard deviation; d melting temperature ± standard deviation; e ex-holotype; f ex-epitype; n/a = no amplification.
Table 2. Quantitative PCR detection of Quambalaria eucalypti artificially inoculated in eucalyptus plants.
Table 2. Quantitative PCR detection of Quambalaria eucalypti artificially inoculated in eucalyptus plants.
IsolateDisease SeverityTm (°C)Cq a Value ± SD bDNA Conc. (fg) ± SD b
CBS 118844087.233.10 ± 0.0216.48 ± 2.40
186.927.70 ± 0.05329.66 ± 5.24
287.326.75 ± 0.03558.45 ± 11.07
387.024.89 ± 0.021567.40 ± 14.85
EGES-5087.332.87 ± 0.1818.72 ± 0.65
186.827.43 ± 0.27382.94 ± 5.18
287.126.73 ± 0.02564.69 ± 11.67
386.924.95 ± 0.031516.08 ± 12.36
UY198087.032.84 ± 0.2619.03 ± 0.15
187.027.53 ± 0.02362.27 ± 4.73
286.926.71 ± 0.04570.99 ± 10.45
387.124.81 ± 0.061638.54 ± 21.74
a Cq = cycle quantification; b SD = standard deviation.
Table 3. The test results for repeatability (intra-assay) and reproducibility (inter-assay) using four dilutions of DNA in water from Quambalaria eucalypti isolate CBS 118844.
Table 3. The test results for repeatability (intra-assay) and reproducibility (inter-assay) using four dilutions of DNA in water from Quambalaria eucalypti isolate CBS 118844.
DNA Conc.
(pg)
Cq a Value ± SD b
(Intra-Assay)
Cq a Value ± SD b (Inter-Assay)Coefficient of Variance (%)
Operator 1Operator 2Operator 3Intra-AssayInter-Assay
1021.49 ± 0.1521.40 ± 0.5420.98 ± 0.6620.78 ± 0.150.30.9
125.50 ± 0.1125.18 ± 0.3625.34 ± 0.1226.03 ± 0.240.41.5
0.130.01 ± 0.1229.87 ± 0.2129.91 ± 0.1530.05 ± 0.450.61.3
0.0134.01 ± 0.1333.85 ± 0.1834.13 ± 0.1133.97 ± 0.210.82.4
a Cq = cycle quantification; b SD = standard deviation.
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Faedda, R.; Silva, G.B. Development of a Real-Time PCR Assay for the Early Detection of the Eucalyptus Pathogen Quambalaria eucalypti. Forests 2024, 15, 375. https://doi.org/10.3390/f15020375

AMA Style

Faedda R, Silva GB. Development of a Real-Time PCR Assay for the Early Detection of the Eucalyptus Pathogen Quambalaria eucalypti. Forests. 2024; 15(2):375. https://doi.org/10.3390/f15020375

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Faedda, Roberto, and Gabriela B. Silva. 2024. "Development of a Real-Time PCR Assay for the Early Detection of the Eucalyptus Pathogen Quambalaria eucalypti" Forests 15, no. 2: 375. https://doi.org/10.3390/f15020375

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