Chytrid mycoparasitism of entomophthoralean azygospores

Mycoparasitism – when one fungus parasitizes another – has been reported to affect Beauveria bassiana and mycorrhizal fungi in the field. However, mycoparasitism of any fungi in the Order Entomophthorales has never been reported before now. The majority of entomophthoralean species persist as resting spores (either zygospores or azygospores) in the environment and dormant entomophthoralean resting spores (whether formed as zygospores or azygospores) are thought to be especially well adapted for survival over long periods due to their thick double walls. Entomophthoralean resting spores can accumulate in the soil as large reservoirs of inoculum which can facilitate the onset and development of epizootics. We report parasitism of azygospores of the gypsy moth pathogen Entomophaga maimaiga caged in soil from southern Ohio by the chytrid fungus Gaertneriomyces semiglobifer. G. semiglobifer had previously been isolated from soil samples from North America, Europe and Australia or horse manure from Virginia. After isolation and identification of G. semiglobifer, azygospores of E. maimaiga exposed to zoospores of G. semiglobifer exhibited high levels of mycoparasitism and G. semiglobifer was subsequently reisolated from mycoparasitized resting spores. We discuss the importance of this finding to the epizootiology of insect diseases caused by entomophthoralean fungi.     

Use of real-time PCR to discriminate parasitic and saprophagous behaviour by nematophagous fungi

Entomopathogenic nematodes (EPNs) are important pathogens of soilborne insects and are sometimes developed commercially to manage insect pests. Numerous nematophagous fungal species (NF) prey on nematodes and are thought to be important in regulating natural or introduced EPN populations. However, nematophagy by these fungi in nature cannot be inferred using existing methods to estimate their abundance in soil because many of these fungi are saprophytes, resorting to parasitism primarily when certain nutrients are limiting. Therefore, we developed an assay to quantify NF DNA in samples of nematodes. Species-specific primers and TaqMan probes were designed from the ITS rDNA regions of Arthrobotrys dactyloides, Arthrobotrys oligospora, Arthrobotrys musiformis, Gamsylella gephyropagum and Catenaria sp. When tested against 23 non-target fungi, the TaqMan real-time PCR assay provided sensitive and target-specific quantification over a linear range. The amount of A. dactyloides or Catenaria sp. DNA in 20 infected nematodes, measured by real-time PCR, differed between fungal species (P=0.001), but not between experiments (P>0.05). However, estimates of relative NF parasitism using a bioassay with 20 nematodes infected by either species, differed greatly (P<0.001) depending on whether the fungi were alone or combined in the samples used in the assay. Tests done to simulate detection of NF DNA in environmental samples showed that, for all species, background genomic DNA and/or soil contaminants reduced the quantity of DNA detected. Nested PCR was ineffective for increasing the detection of NF in environmental samples. Indeed, real-time PCR detected higher amounts of NF DNA than did nested PCR. The spatial patterns of NF parasitism in a citrus orchard were derived using real-time PCR and samples of nematodes extracted from soil. The parasitism by Catenaria sp. was positively related to the abundance of both heterorhabditid and steinernematid EPNs. The possible significance of the associations is ambiguous because NF attack a broad range of nematode taxa whereas EPNs are a small minority of the total nematode population in a soil sample. These studies demonstrate the potential of real-time PCR to study the role of NF parasitism in soil food webs.     

Detection of the nematophagous fungus Hirsutella rhossiliensis in soil by real-time PCR and parasitism bioassay

Hirsutella rhossiliensis, a nematophagous fungus, has shown potential in biocontrol of plant-parasitic nematodes. Monitoring the population dynamics of a biocontrol agent in soil requires comprehensive techniques and is essential to understand how it works. Bioassay based on the fungal parasitism on the juveniles of soybean cyst nematode, Heterodera glycines, can be used to evaluate the activity of the fungus but fails to quantify fungal biomass in soil. A real-time polymerase chain reaction (PCR) assay was developed to quantify the fungal population density in soil. The assay detected as little as 100 fg of fungal genomic DNA and 40 conidia g⁻¹ soil, respectively. The parasitism bioassay and the real-time PCR assay were carried out to investigate the presence, abundance and activity of H. rhossiliensis in soil after application of different inoculum levels. Both of the percentage of assay nematodes parasitized by H. rhossiliensis based on the parasitism bioassay and the DNA yield of the fungus quantified by real-time PCR increased significantly with the increase of the inoculum levels. The DNA yield of the fungus was positively correlated with the percentage of assay nematodes parasitized by H. rhossiliensis. The combination of the two is useful for monitoring fungal biomass and activity in soil.     

DNA extraction and PCR detection of <Emphasis Type="Italic">Paenibacillus larvae</Emphasis> spores from naturally contaminated honey and bees using spore-decoating and freeze-thawing techniques

Summary Paenibacillus larvae causes American foulbrood (AFB), a severe disease that affects the brood of honey bee Apis mellifera. AFB is worldwide distributed and causes great economic losses to beekeepers, but in many cases early diagnosis could help in its prevention and control. The aim of the present work was to design a reliable protocol for DNA extraction of P. larvae spores from naturally contaminated honey and adult bees. A novel method that includes a step of spore-decoating followed by an enzymatic spore disruption and DNA purification was developed. Also a freeze-thaw cycle protocol was tested and the results were compared. The DNA extracted was used as template for specific bacterial detection by amplification of a 16S rDNA fragment. Both methods allowed the direct detection by polymerase chain reaction (PCR) of P. larvae spores present in naturally contaminated material. The spore-decoating strategy was the most successful method for DNA extraction from spores, allowing specific and remarkably sensitive PCR detection of spores in all honey and bees tested samples. On the other hand freeze-thawing was only effective for detection of spores recovered from bees, and extensive damage to DNA affected detection by PCR. This work provides new strategies for spore DNA extraction and detection by PCR with high sensitivity, and brings an alternative tool for P. larvae detection in natural samples.     

Detection of<Emphasis Type="Italic"> Bacillus cereus</Emphasis> group bacteria from cardboard and paper with real-time PCR

The aim of this study was to develop a PCR-based rapid method to detect Bacillus cereus group cells from paper and cardboard. Primers targeting the 16S rDNA and real-time PCR with SYBR green I detection were used in order to be able to also quantify the target. Both autoclaved cardboard samples spiked with B. cereus vegetative cells or spores and naturally contaminated paper and cardboard samples were studied. Results were compared with culturing verified by commercial (API) tests. Several different methods were tested for DNA isolation from the paper and cardboard samples. Two commercial kits intended for soils, the UltraClean soil DNA kit and the FastDNA spin kit for soil, gave the most reproducible results. In spiked samples, the average yield was 50% of added vegetative cells, but spore yield was only about 10%. PCR results from adding vegetative cells correlated with added colony-forming unit (cfu) values (r=0.93, P <0.001) in the range 100–10,000 cfu g^–1. Three out of nine studied paper and cardboard samples contained B. cereus group bacteria, based both on culturing and real-time PCR. The numbers were 10²–10³ bacteria g^–1; and PCR gave somewhat higher results than culturing. Thus, real-time PCR can be used as a rapid semi-quantitative method to screen paper and cardboard samples for contamination with B. cereus group bacteria.     

Quantitative detection of the oil-degrading bacterium Acinetobacter sp. strain MUB1 by hybridization probe based real-time PCR

Quantitative detection of the oil-degrading bacterium Acinetobacter sp. strain MUB1 was performed using the SoilMaster^™ DNA Extraction Kit (Epicentre, Madison, Wisconsin) and hybridization probe based real-time PCR. The detection target was the alkane hydroxylase gene (alkM). Standard curve construction showed a linear relation between log values of cell concentrations and real-time PCR threshold cycles over five orders of magnitude between 5.4±3.0×10⁶ and 5.4±3.0×10² CFU ml⁻¹ cell suspension. The detection limit was about 540 CFU ml⁻¹, which was ten times more sensitive than conventional PCR. The quantification of Acinetobacter sp. strain MUB1 cells in soil samples resulted in 46.67%, 82.41%, and 87.59% DNA recovery with a detection limit of 5.4±3.0×10⁴ CFU g⁻¹ dry soil. In this study, a method was developed for the specific, sensitive, and rapid quantification of the Acinetobacter sp. strain MUB1 in soil samples.     

Relative quantification of chrysanthemum yellows (16Sr I) phytoplasma in its plant and insect host using real-time polymerase chain reaction

A real-time polymerase chain reaction (PCR) method for the quantification of chrysanthemum yellows (CY) phytoplasma DNA in its plant (Chrysanthemum carinatum) and insect (Macrosteles quadripunctulatus) host is described. The quantity of CY DNA was measured in each run relative to the amount of host DNA in the sample. Primers and a TaqMan probe for the specific PCR amplification of phytoplasma DNA were designed on a cloned CY-specific ribosomal fragment. Primers and TaqMan probes were also designed on sequences of the internal transcribed spacer region of the insect’s ITS1 rDNA and of the plant’s 18S rDNA for amplification from C. carinatum and M. quadripunculatus, respectively. Absolute quantification of CY DNA was achieved by comparison with a dilution series of the plasmid containing a CY 16S rDNA target sequence. Absolute quantification of plant and insect DNAs was achieved by comparison with a dilution series of the corresponding DNAs. Quantification of CY DNA in relation to host DNA was finally expressed as genome units (GU) of phytoplasma DNA per nanogram of host (plant or insect) DNA. Relative quantification avoided influences due to different yields during the DNA extraction procedure. The quantity of CY DNA was about 10,000–20,000 GU/ng of plant DNA and about 30,000–50,000 GU/ng of insect DNA. The method described could be used to phytoplasma multiplication and movement in different plant and insect hosts.     

Detection and quantification of Enterococcus gilvus in cheese by real-time PCR

The objective of this work was to investigate the occurrence of Enterococcus gilvus in cheese. For this purpose, a real-time PCR protocol using phenylalanyl-tRNA synthase (pheS) as a target gene was optimized to evaluate the presence and abundance of this microorganism in Italian artisan cheeses. The real-time assay unequivocally distinguished E. gilvus from 25 non-target LAB and non-LAB species, demonstrating its absolute specificity. The assay performed well not only with purified DNA but also with DNA extracted from cheese samples artificially contaminated with E. gilvus. The dynamic range of target determination of the method in the cheese matrix (from 10⁷ to 10⁴ cfu/ml, covering three orders of magnitude) was lower and the detection limit higher than in vitro conditions, but still high enough to obtain an excellent quantification accuracy in cheese. Twenty commercially available cheeses were analyzed by real-time PCR and approximately 40% of the cheese samples contained E. gilvus at levels ranging from 4.17±0.10 to 6.75±0.01 log cfu/g. Such levels represented 0.1–10% of the total enterococci counted on kanamycin aesculin azide agar (KAA) from the corresponding cheeses. The successful isolation of E. gilvus from cheeses containing high loads of this species, as detected by real-time PCR, provided definitive proof on both assay specificity and presence of this organism in cheeses. Despite the relatively low sensitivity in cheese (≥4 log cfu/g), the real-time PCR described here may, however, be useful to detect E. gilvus rapidly when present at (sub)dominant levels within the enterococcal cheese microflora. The assay may be helpful to detect and quantify E. gilvus strains from food, thus enabling a better understanding of technological role, ecological and safety aspects in cheeses and other fermented food products of this infrequent species.     

Modeling the Influence of Rainfall and Temperature on the Phenology of Infection of Gypsy Moth, Lymantria dispar, Larvae by the Fungus Entomophaga maimaiga

A computer model driven by daily maximum-minimum temperature and rainfall records was developed to investigate the influence of weather on times when gypsy moth larvae, Lymantria dispar, can become infected by the fungal pathogen Entomophaga maimaiga. In the model, gypsy moth eggs are hatched and neonates are exposed primarily to germinating resting spores in the soil during the spring. Risk of infection is related to forest floor moisture. Larval and fungal development follows a degree-day model. When larvae become 4th instars, they can again become infected by resting spores because they hide in the litter during daylight hours. If rain falls when infected caterpillars die, the fungus sporulates, producing conidia. The number of conidia produced is assumed to directly influence the probability of infection of other larvae. The model was run using weather records from 1990 through 1992. Predicted times of infection were compatible with estimated fungal recruitment rates and changes in field disease prevalence rates. Assumptions about infection mechanisms in the model are discussed as they relate to the real world.     

An evaluation of commercial DNA extraction kits for the isolation of bacterial spore DNA from soil

Aims: To evaluate six commercial DNA extraction kits for their ability to isolate PCR‐quality DNA from Bacillus spores in various soil samples. Methods and Results: Three soils were inoculated with various amounts of Bacillus cereus spores to simulate an outbreak or intentional release of the threat agent Bacillus anthracis. DNA was isolated from soil samples using six commercial DNA extraction kits. Extraction and purification efficiencies were assessed using a duplex real‐time PCR assay that included an internal positive control. The FastDNA^® SPIN kit for Soil showed the highest DNA extraction yield, while the E.Z.N.A.^® Soil DNA and PowerSoil^® DNA Isolation kits showed the highest efficiencies in removing PCR inhibitors from loam soil extracts. Conclusions: The results of this study suggest that commercially available extraction kits can be used to extract PCR‐quality DNA from bacterial spores in soil. The selection of an appropriate extraction kit should depend on the characteristics of the soil sample and the intended downstream application. Significance and Impact of the Study: The results of this study aid in the selection of an appropriate DNA extraction kit for a given soil sample. Its application could expedite sample processing for real‐time PCR detection of a pathogen in soil.     

Detection and Measurement of <Emphasis Type="Italic">Plasmodiophora brassicae</Emphasis>

Clubroot, caused by Plasmodiophora brassicae, is one of the most important diseases of brassicas. Management of clubroot is difficult, and the best means of avoiding the disease include planting in areas where P. brassicae is not present and using plants and growing media free from pathogen inoculum. As P. brassicae is not culturable, its detection has traditionally relied on plant bioassays, which are time-consuming and require large amounts of glasshouse space. More recently, fluorescence microscopy, serology, and DNA-based methods have all been used to test soil, water, or plant samples for clubroot. The use of fluorescence microscopy to detect and count pathogen spores in the soil requires significant operator skill and is unlikely to serve as the basis for a routine diagnostic test. By contrast, serologic assays are inexpensive and amenable to high-throughput screening but need to be based on monoclonal antibodies because polyclonal antisera cannot be reproduced and are therefore of limited quantity. Several polymerase chain reaction (PCR)-based assays have also been developed; these are highly specific for P. brassicae and have been well-correlated with disease severity. As such, PCR-based diagnostic tests have been adopted to varying extents in Canada and Australia, but wide implementation has been restricted by sample processing costs. Efforts are underway to develop inexpensive serologic on-farm diagnostic kits and to improve quantification of pathogen inoculum levels through real-time PCR. Proper detection and quantification of P. brassicae will likely play an increasingly important role in the development of effective clubroot management strategies.     

重庆酸雨区不同林型对土壤酸化和真菌群落的影响

不同林型土壤的酸化缓冲能力不同，真菌在土壤系统中扮演着重要的角色，而对土壤真菌群落结构和组成与土壤酸化的关系缺乏深入研究。以重庆铁山坪林场的马尾松纯林（Pi）和经马尾松纯林改造后的香樟纯林（Ci）、木荷纯林（Sc）、马尾松-香樟混交林（Pi_Ci）以及马尾松-木荷混交林（Pi_Sc）为研究对象，每个林型分别设置4个20 m×20 m的样地，分别采集腐殖质层（O层）和淋溶层（A层）土壤进行土壤性质及真菌群落分析，以探讨酸雨区森林土壤真菌群落与缓解土壤酸化的关系。研究表明：（1）与Pi相比，Ci土壤酸化明显缓解（高pH低NH₄ ： NO₃），且能有效提高土壤全磷（TP）含量；而Sc虽然土壤pH值与Pi没有显著差异，但显著（P<0.05）提高了NH₄ ： NO₃，且显著降低土壤TP和全钾（TK）含量（P<0.05）；（2）不同林型土壤真菌群落多样性以Ci最为丰富，且表征土壤酸化的指标pH值、阳离子交换量（CEC）与真菌多样性显著正相关（P<0.05），NH₄ ： NO₃与多样性显著负相关（P<0.05）；（3）林型和土层都对真菌群落结构有显著影响（P<0.001），且林型的影响大于土层的影响；而土壤酸化程度将五个林型的土壤真菌群落区分成两个大类：Ci和Pi_Ci；Pi，Sc以及Pi_Sc。（4） Ci中有益菌（如Mortierella）更多，Pi以外生菌根真菌占优势（Russulaceae、Russula、Tomentella以及Sebacina）；Sc以及Pi_Sc则含有更多的植物病原菌（Cladophialophora，Paecilomyces，Venturiales）、嗜酸菌及产酸菌（Paecilomyces，Penicillium）。在酸雨区受损马尾松林地种植香樟促进土壤真菌多样性提高，且产酸真菌、嗜酸菌丰度降低，而有益真菌丰度增加，可有效缓解土壤酸化；而种植木荷后土壤中的病原菌、嗜酸菌和产酸菌相对丰度增加，导致土壤进一步酸化。因此，通过将受酸雨损害严重的马尾松纯林改造成香樟纯林或马尾松-香樟混交林，有助于缓解土壤的酸化，实现酸雨区森林生态系统的可持续发展。     

First record of Entomophaga maimaiga (Entomophthorales: Entomophthoraceae) in Slovakia

The entomopathogenic fungus Entomophaga maimaiga was found for the first time in Slovakia in 2013. Late instar larvae of gypsy moth, Lymantria dispar, from two sites with different population densities were dissected to evaluate the presence of pathogens. The presence of conidia and resting spores of E. maimaiga in gypsy moth cadavers was confirmed from both sites.     

A multiplex PCR assay to diagnose and quantify Nosema infections in honey bees (Apis mellifera)

Correct identification of the microsporidia, Nosema apis and Nosema ceranae, is key to the study and control of Nosema disease of honey bees (Apis mellifera). A rapid DNA extraction method combined with multiplex PCR to amplify the 16S rRNA gene with species-specific primers was compared with a previously published assay requiring spore-germination buffer and a DNA extraction kit. When the spore germination-extraction kit method was used, 10 or more bees were required to detect the pathogens, whereas the new extraction method made it possible to detect the pathogens in single bees. Approx. 4-8 times better detection of N. ceranae was found with the new method compared to the spore germination-extraction kit method. In addition, the time and cost required to process samples was lower with the proposed method compared to using a kit. Using the new DNA extraction method, a spore quantification procedure was developed using a triplex PCR involving co-amplifying the N. apis and N. ceranae 16S rRNA gene with the ribosomal protein gene, RpS5, from the honey bee. The accuracy of this semi-quantitative PCR was determined by comparing the relative band intensities to the number of spores per bee determined by microscopy for 23 samples, and a high correlation (R² = 0.95) was observed. This method of Nosema spore quantification revealed that spore numbers as low as 100 spores/bee could be detected by PCR. The new semi-quantitative triplex PCR assay is more sensitive, economical, rapid, simple, and reliable than previously published standard PCR-based methods for detection of Nosema and will be useful in laboratories where real-time PCR is not available.     

A real‐time PCR method to quantify spores carrying the Bacillus thuringiensis var. israelensis cry4Aa and cry4Ba genes in soil

Aim: To develop a rapid real‐time PCR method for the specific detection and quantification of Bacillus thuringiensis var. israelensis (Bti) spores present in the environment. Methods and Results: Seven soil samples as well as one sediment sample obtained from various regions of Switzerland and characterized by different granulometry, pH values, organic matter and carbonate content were artificially inoculated with known amounts of Bti spores. After DNA extraction, DNA templates were amplified using TaqMan real‐time PCR targeting the cry4Aa and cry4Ba plasmid genes encoding two insecticidal toxins (δ‐endotoxins), and quantitative standard curves were created for each sample. Physicochemical characteristics of the samples tested did not influence DNA extraction efficiency. Real‐time PCR inhibition because of the presence of co‐extracted humic substances from the soil was observed only for undiluted DNA extracts from samples with very high organic matter content (68%). The developed real‐time PCR system proved to be sensitive, detecting down to 1 × 10³ Bti spores per g soil. One‐way analysis of variance confirmed the accuracy of the method. Conclusions: Direct extraction of DNA from environmental samples without culturing, followed by a specific real‐time PCR allowed for a fast and reliable identification and quantification of Bti spores in soil and sediment. Significance and Impact of the Study: The developed real‐time PCR system can be used as a tool for ecological surveys of areas where treatments with Bti are carried out.     

Real-time polymerase chain reaction assay for rapid and sensitive detection of anthrax spores in spiked soil and talcum powder

Real-time polymerase chain reaction (real-time PCR) is a laboratory technique based on PCR. This technique is able to detect sequence-specific PCR products as they accumulate in “real time” during the PCR amplification, and also to quantify the number of substrates present in the initial PCR mixture before amplification begins. In the present study, real-time PCR assay was employed for rapid and real-time detection of Bacillus anthracis spores spiked in 0.1 g of soil and talcum powder ranging from 5 to 10⁷ spores. DNA was isolated from spiked soil and talcum powder, using PBS containing 1 % Triton-X-100, followed by heat treatment. The isolated DNA was used as template for real-time PCR and PCR. Real-time PCR amplification was obtained in 60 min under the annealing condition at 60°C by employing primers targeting the pag gene of B. anthracis. In the present study, the detection limit of real-time PCR assay in soil was 10³ spores and10² spores in talcum powder, respectively, whereas PCR could detect 10⁴ spores in soil and 10³ spores in talcum powder, respectively.     

Ectomycorrhizal fungal community structure across a bog-forest ecotone in southeastern Alaska

We examined the ectomycorrhizal (ECM) fungal community across a bog-forest ecotone in southeastern Alaska. The bog and edge were both characterized by poorly drained Histosols and a continuous layer of Sphagnum species, ericaceous shrubs, Carex species, and shore pine [Pinus contorta Dougl. ex Loud. var. contorta]. The forest had better-drained Inceptisols and Spodosols, a tree community comprised of western hemlock [Tsuga heterophylla (Raf.) Sarg.], yellow cedar (Thuja plicata Donn ex D. Don.), Sitka spruce [Picea sitchensis (Bong.) Carr.] and shore pine, and an understorey of ericaceous shrubs and herbs. ECM root tip density (tips cm^–3 soil) was significantly greater in the forest than the edge or bog and ECM colonization was significantly different in all three plant communities. The below ground ECM fungal taxa were analyzed using molecular techniques (PCR-RFLP and DNA sequencing). Three ECM fungal taxa, Suillus tomentosus (Kauffman) Singer, Cenococcum geophilum Fr.:Fr, and a Russula species, differed in relative frequency, yet were among the four most frequent in all three plant communities. Although differences in ECM fungal richness were observed across plant communities, unequal sampling of ECM roots due to root density and colonization differences confounded richness comparisons. Using resampling procedures for creating taxon-accumulation curves as a function of sampled ECM roots revealed similarities in cumulative ECM fungal taxa richness across the ecotone.     

Validation of a cotton-specific gene, Sad1, used as an endogenous reference gene in qualitative and real-time quantitative PCR detection of transgenic cottons

Genetically modified (GM) cotton lines have been approved for commercialization and widely cultivated in many countries, especially in China. As a step towards the development of reliable qualitative and quantitative PCR methods for detecting GM cottons, we report here the validation of the cotton (Gossypium hirsutum) endogenous reference control gene, Sad1, using conventional and real-time (RT)-PCR methods. Both methods were tested on 15 different G. hirsutum cultivars, and identical amplicons were obtained with all of them. No amplicons were observed when DNA samples from three species of genus Gossypium, Arabidopsis thaliana, maize, and soybean and others were used as amplified templates, demonstrating that these two systems are specific for the identification and quantification of G. hirsutum. The results of Southern blot analysis also showed that the Sad1 gene was two copies in these 15 different G. hirsutum cultivars. Furthermore, one multiplex RT-quantitative PCR employing this gene as an endogenous reference gene was designed to quantify the Cry1A(c) gene modified from Bacillus thuringiensis (Bt) in the insect-resistant cottons, such as Mon531 and GK19. The quantification detection limit of the Cry1A(c) and Sad1 genes was as low as 10 pg of genomic DNA. These results indicat that the Sad1 gene can be used as an endogenous reference gene for both qualitative and quantitative PCR detection of GM cottons.     

A PCR-based tool for cultivation-independent detection and quantification of Metarhizium clade 1

The entomopathogenic fungus Metarhizium anisopliae and sister species are some of the most widely used biological control agents for insects. Availability of specific monitoring and quantification tools are essential for the investigation of environmental factors influencing their environmental distribution. Naturally occurring as well as released Metarhizium strains in the environment traditionally are monitored with cultivation-dependent techniques. However, specific detection and quantification may be limited due to the lack of a defined and reliable detection range of such methods. Cultivation-independent PCR-based detection and quantification tools offer high throughput analyses of target taxa in various environments. In this study a cultivation-independent PCR-based method was developed, which allows for specific detection and quantification of the defined Metarhizium clade 1, which is formed by the species Metarhizium majus, Metarhizium guizhouense, Metarhizium pingshaense, Metarhizium anisopliae, Metarhizium robertsii and Metarhiziumbrunneum, formerly included in the M. anisopliae cryptic species complex. This method is based on the use of clade-specific primers, i.e. Ma 1763 and Ma 2097, that are positioned within the internal transcribed spacer regions 1 and 2 of the nuclear ribosomal RNA gene cluster, respectively. BLAST similarity searches and empirical specificity tests performed on target and non-target species, as well as on bulk soil DNA samples, demonstrated specificity of this diagnostic tool for the targeted Metarhizium clade 1. Testing of the primer pair in qPCR assays validated the diagnostic method for specific quantification of Metarhizium clade 1 in complex bulk soil DNA samples that significantly correlated with cultivation-dependent quantification. The new tool will allow for highly specific and rapid detection and quantification of the targeted Metarhizium clade 1 in the environment. Habitat with high Metarhizium clade 1 densities can then be analyzed for habitat preferences in greater detail using cultivation-dependent techniques and genetic typing of isolates.