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Fungi in Pine Wilt Disease
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Pine wilt disease (PWD) is a complex disease that severely affects the biodiversity and economy of Eurasian coniferous forests. Three factors are described as the main elements of the disease: the pinewood nematode (PWN) Bursaphelenchus xylophilus, the insect-vector Monochamus spp., and the host tree, mainly Pinus spp. Nonetheless, other microbial interactors have also been considered.

  • biocontrol
  • blue-stain fungi
  • interactions
  • mycobiome
  • pine wood nematode
Subjects: Mycology ; Forestry
Contributors : ,
View Times: 63
Entry Collection: Environmental Sciences
Revisions: 2 times (View History)
Update Time: 20 Oct 2021

1. Introduction

Pine wilt disease (PWD) has become one of the most damaging diseases to conifers worldwide and is a risk nowadays for the sustainability and profitability of forest ecosystems. PWD was detected in Japan in 1905, later spreading to other Asian countries; namely China, Korea, and Taiwan in the 1980s [1], and to Europe (Portugal and Spain in 1999 and 2010, respectively) [2][3][4]. To date, no recorded outbreaks have been identified in other European countries, despite several scientific studies alert for a high vulnerability of northern European pine forests due to the oncoming effects of climate change and the reported susceptibility of the dominating pine species to PWD [5][6]. The PWD has gradually and consistently spread between continents as a result of an increase in the global trade of wood and derivative materials. Significant economic and ecological impacts were reported in the affected countries, including a reduction in productivity and an increase in the costs of management procedures for disease control, as well as a decrease in forest biodiversity [7][8].

Effective PWD management strategies have been difficult to achieve given the complex disease infection cycle, where several organisms contribute to the infection’s overall development and severity, namely its causal agent, the pinewood nematode (PWN) Bursaphelenchus xylophilus ( Steiner & Bührer) Nickle; the PWN’s insect-vector Monochamus spp. ; and a susceptible host tree, commonly trees from the genus Pinus [1]. Recent studies have additionally identified a strong influence of the PWN-associated bacteria, and the microbiome associated with the susceptible pine, on PWD development [9][10][11]. While the description of microbial diversity has been established for the PWN, the insect-vector, and susceptible pine hosts—leading to the preliminary proposal of their functional roles in the PWD—information on the mycological diversity associated with these organisms is scarcer. In the present review, an up-to-date compilation of the published works reporting on naturally occurring fungi associated with the PWN, the host tree, and its insect-vector, is presented. A critical analysis of the summarized information further allows us to envision the functional role of associated fungi on PWD development and guide future research in this area.

2. The Complexity of PWD

The PWN is a small plant-parasitic nematode of about 500–1000 µm in length and 22 µm in width, capable of feeding on plant (phytophagous) and fungal tissues (mycophagous). Its life cycle is comprised of four juvenile stages (J1 to J4) and both adult males and females ( Figure 1 a). In natural conditions, the PWN can quickly complete its life cycle, usually 4 days in summer conditions while, under in vitro conditions in laboratory cultured Botrytis cinerea Pers. mats, it can take between 4 to 6 days [1][12] (or slightly longer on aseptic co-cultures of in vitro pine with the PWN) [13]. Adverse environmental conditions and/or undernutrition induce morphological and physiological changes in the J3 stage, leading to the occurrence of the PWN dispersal stages, the third and fourth dispersal juvenile stages (J III and J IV ). The J IV , known as the dauer juvenile stage, is characterized by an interruption of the feeding process, the establishment of large lipidic reserves, and the production of a thick protective layer around the PWN’s body [1][14]. At this stage, the PWN is attracted to the juvenile longhorn beetles emerging from dead, or decaying, wood in forest ecosystems, invading beetles trachea. The PWN establishes these commensalism associations with members of the genus Monochamus (Coleoptera; Cerambycidae), considered the main PWN vector, with seven confirmed species vectoring the nematode in field and laboratory conditions [15][16][17], the most common being M. alternatus in East Asian forestlands [1], and M. galloprovincialis in Europe [18][19]. Colonized beetles can transmit the PWN by transporting them to (1) new beetle feeding sites during the beetle maturation stage, commonly in young branches of susceptible pine species (primary transmission), or (2) weakened or dead trees in the forest, where the matured female beetles oviposit (secondary transmission). The beetles benefit from an increase in reproduction sites at weakened or dead trees, where oviposition occurs, while the PWN takes advantage of the increase in beetle population, leading to higher rates of transmission ( Figure 1 b) [20]. Once infection occurs in a susceptible tree, the PWN quickly multiplies and begins feeding on the epithelial parenchyma cells lining the pine resin ducts, inducing extensive damage that leads to a reduction in resin production and the release of volatile terpenoids. As the infection progresses, the PWNs damage the tree’s vascular system and an embolism phenomenon begins to interrupt water transport, partly due to the build-up of volatile terpenoids [20][21]. The typical symptoms of PWD ( Figure 2 ) are visible at this stage, namely pine shoot wilting due to desiccation, chlorosis, and drooping. When external symptoms of the PWD are noticeable, the affected tree cannot recover and eventually dies. However, the symptoms caused by the PWN, including abrupt reduction in the production of resin and pine needle wilting, can be mistakenly attributed to other biotic or abiotic stress factors such as water stress [22]. In North America, endemic pines are mostly tolerant, with only exotic species expressing the strongest symptoms. In China, Japan, Korea, and Portugal, many pine species were found to be very susceptible, e.g., Pinus densiflora Sieblod & Zucc. , Pinus nigra J.F. Arnold, Pinus pinaster Aiton, Pinus radiata D. Don, Pinus sylvestris L. or Pinus thunbergii Parl., which caused extensive economic and cultural repercussions [15][23].

Figure 1. Pine Wilt Disease pathosystem. (a) Life cycle of the pinewood nematode Bursaphelenchus xylophilus (grey arrows indicate propagative stage; black arrows indicate dispersal stage); (b) Primary and secondary transmission of B. xylophilus by the sawyer beetle Monochamus sp. (grey arrow indicates interconnection between transmission modes). Image of a healthy and wilted tree, retrieved from Biorender®.
Figure 2. Symptoms of Pine Wilt Disease—wilted Pinus pinaster trees (pine trees with brown canopy) surrounded by assymptomatic P. pinaster (greenish canopy without PWD manifestation). Location: Companhia das Lezírias (Portugal; 38°49′17.6″ N 8°52′20.5″ W), in January 2020.

Despite not being able to induce PWD, the microbiome (bacteria and fungi) associated with the PWD, and its elements is considered a major biotic factor influencing the disease’s severity (further detailed in [9][10][11]). The isolation of fungi and bacteria dates back the 70s, when Tokushige and Kiyohara isolated microbial samples from dead pine trees and tested their pathogenicity in healthy pines [20]. Since then, several researchers attempted to correlate the pathogenicity of some bacterial species, like Pseudomonas spp. or Bacillus spp. , with the disease [24][25][26]. Still, the latest studies point to a less active role of the bacterial communities associated with PWD. These communities behave as opportunistic/saprophytes and/or endophytes expressing phenotypic plasticity in the PWN-wilted pine host [11][27][28][29][30][31]. The impact of fungal communities in the complexity of PWD and their elements is presented in detail in the next section.

3. Mycobiome Associated with PWD Complex

Forest trees harbour extremely complex fungal communities that play important roles on ecosystem multifunctionality and equilibrium [32]. Most of these communities are shaped by intrinsic factors of the host, like host genotype, condition, and/or development, and by external factors such as geographical location, seasonality, or even surrounding vegetation [33]. Under the presence of non-native pathogens, these ecosystems suffer disequilibrium situations that can eventually lead to considerable spatial and temporal community variation [34].

Fungal communities associated with PWD have been described since the early 80s. These culture-dependent studies worked with different culture conditions, such as different growth media (e.g., potato dextrose agar or malt extract agar) or supplementation of antibiotics ( Table 1 ). The most recent reports in fungal communities associated with the disease combine morphology with molecular identification based on fungal DNA barcode markers (i.e., primary marker ITS, internal transcribed spacer; and secondary marker TEF1-α, translational elongation factor 1 alpha) [35][36] and other protein-coding genes (i.e., beta-tubulin BT or calmodulin CAL) [37]. These conventional culturing methods are biased towards fast-growing species rather than the more specialized fungi [38], suggesting that only a limited fraction of the fungal community’s diversity has been uncovered in this complex disease. Three main phyla were identified within the Fungi kingdom, namely Ascomycota, Basidiomycota, and Mucoromycota. The most predominant phylum, Ascomycota, was represented by 6 classes (Blastomycetes, Dothideomycetes, Eurotiomycetes, Leotiomycetes, Orbiliomycetes, and Sordariomycetes) and nearly 30 families ( Table 1 ). Most of the described taxa are common saprophytes and probably not specific to the disease or associated with the PWN. This may be the case of Penicillium (Ascomycota, Eurotiomycetes, Trichocomaceae), Trichoderma (Ascomycota, Sordariomycetes, Hypocreaceae) and Aspergillus (Ascomycota, Eurotiomycetes, Aspergillaceae) among others, which are ubiquitous to all existing environments and detected in all PWD elements ( Table 1 ). The description of fungal communities has also been made in different pine species and insect-vectors from different geographical locations (e.g., China, Japan, Korea, Portugal, and the USA). The first isolations of mycoflora were conducted on symptomatic P. thunbergii (shoots, twigs, and woodchips), on the surface tissues of tunnels and pupal chambers bored by Monochamus larvae, and from the adult body of M. alternatus after its emergence [39][40]. These works reported that the genera Ceratocystis and Verticicladiella (synonym of Leptographium [41]), from Ceratocystidaceae and Ophiostomataceae families, respectively, were the only flora common to the three sampled locations apart from the saprophytic fungi Trichoderma and Penicillium. Later, Wingfield [42] isolated fungi from the cerambycid beetles M. scutellatus and M. carolinenses, also identifying Ceratocystis and Ceratocystiopis as common genera associated with adult beetles and pupal chambers from P. banksiana and P. resinosa. Curiously, Wingfield [42] could also isolate the nematode-trapping fungi Arthrobotrys cladodes var. cladodes and A. superba in the PWN. Kuroda and Iko [43] isolated fungi from healthy and wilted P. thunbergii and reported that the same species were recovered from both pine trees (i.e., Pestalotiopsis spp., Nigrospora spp. , Cladosporium spp. , and Phomopsis spp.) and that Ceratocystis sp., was only detected after PWN inoculation. This study has also shown that the composition of fungal species varied slightly among seasons [43]. In 2007, Hyun et al. [44] characterized the fungal communities associated with the PWN; the insect- vector M. alternatus and P. thunbergii in Korea. Among the 15 genera identified, Penicillium and Ophiostoma were the most frequent genera in all elements, with PWNs and insect larvae showing a smaller number of associated fungi than insect adults or infected wood. In 2015, Inácio et al. [45] described fungal communities associated with M. galloprovincialis, native to Portugal. From a total of 100 insects, species of 18 genera of filamentous fungi were reported: Acremonium, Alternaria, Arthrinium, Aspergillus, Beauveria, Bipolaris, Botryosphaeria, Botrytis, Cladosporium, Clonostachys, Eppicocum, Fusarium, Ophiostoma s. l., Paecilomyces s. l., Penicillium, Stemphylium, Trichoderma, and Trichothecium ( Table 1 ) [45]. A more detailed characterization of endophytic fungi associated with P. pinaster with, and without, PWN infection in Portugal was presented by Trindade [46]. Novel fungal species are also continuously described. Wang et al. [47] identified new species of Ophiostomatales associated with PWD in the pupal chambers of M. alternatus from infected Pinus massoniana Siebold & Zucc. and P. thunbergii in China. In this study, over 90% of all isolates were identified as Ophiostoma ips, with three novel species— Ophiostoma album sp. nov. , Ophiostoma massoniana sp. nov. and Sporothrix zhejiangensis sp. nov.—and two species whose identities remained unclear; Ophiostoma cf. deltoideosporum and Graphilbum cf. rectangulosporium [47].

Table 1. Culture-dependent mycoflora isolated from the PWN, insect-vectors, and host pines. PWN, Bursaphelenchus xylophilus; Ma, Monochamus alternatus; Ms, M. scutellatus; Mg, M. galloprovincialis (A—Adult, L—Larvae); Pd, Pinus densiflora; Pm, P. massoniana; Pt, P. thunbergii; Pb, P. banksiana; Pr, P. resinosa; Pp, P. pinaster (W—wood, Pc, pupal chamber); JP, Japan; PT, Portugal; KR, Korea; CH, China; USA, United States of America.
Fungal Taxonomy   Insect-Vector Host Pine Country References
Ma Ms Mc Mg Pd Pm Pt Pb Pr Pp
Phylum Class Family Genus PWN A L A L A A W Pc Pc W Pc Pc Pc W  
Ascomycota Blastomycetes Crytococcaceae Candida                             JP [48]
Dothideomycetes Botryosphaeriaceae Diplodia                           JP [39][48]
Botryosphaeria                             PT [46]
Macrophoma                             JP [49]
Sphaeropsis                             JP [50]
Cladosporiaceae Cladosporium                     JP, PT [39][43][45][46][48]
Didymellaceae Epicoccum                           PT [45][46]
Dothideaceae Rhizosphaera                               [39]
Leptosphaeriaceae Leptosphaeria                             KR [44]
Massarinaceae Helminthosporium                           USA [42]
Pleosporaceae Alternaria                 JP, PT [39][45][46][48]
Bipolaris                             PT [45]
Curvalaria                             CH [51]
Stemphylium                             PT [45]
Saccotheciaceae Aureobasidium                       JP, PT [45][46][50]
Eurotiomycetes Aspergillaceae Aspergillus               JP, CH, PT [42][44][45][46][48][50][51]
Trichocomaceae Penicillium       JP, CH, PT [39][44][45][46][48][49][50]
Paecilomyces                           PT [45][46]
Herpotrichiellaceae Phialophora                         JP [42][48]
Rhinocladiella                           USA [42]
Leotiomycetes Sclerotinuaceae Botrytis                         CH, PT [44][45][46]
Orbiliomycetes Orbiliaceae Arthrobotrys                       JP, CH, USA [42][48][49]
Dactylaria                             JP [48]
Sordariomycetes Amphisphaeriaceae Pestalotia                             JP [39]
Aspiosporaceae Arthrinium                           PT [45][46]
Bionectriaceae Bionectria                             KR [44]
Clonostachys                           PT [45][46]
Boliniaceae Camarops                             KR [44]
Ceratocystidaceae Ceratocystis           JP, CH, USA [39][42][44][49][51]
Chaetomiaceae Chaetomium                             CH [51]
Cordycipitaceae Beauveria                       USA, PT [42][45][46]
Glomerellaceae Colletotrichum                       JP, CH [39][51]
Hypocreaceae Hypocrea                           KR [44]
Cephalosporium                             JP [48]
Gliocladium                         JP, USA [42][50]
Trichoderma           JP, CH, USA, PT [39][42][44][45][46][48][49][50][51]
Microascaceae Graphium                             JP [48]
Nectriaceae Gibberella                             KR [44]
Fusarium                   JP, CH, KR, PT [39][44][45][46][49][50][51]
Mariannaea                             JP [48]
Nectria                             KR [44]
Ophiostomataceae Ceratocystiopsis                   USA, PT [42][46]
Graphilbum                         KR, PT [46][47][52]
Leptographium                             JP [39][49]
Ophiostoma               CH, KR, PT [44][45][46][47][53]
Sporothrix                         CH, PT [46][47]
Plectosphaerellaceae Plectosphaerella                             KR [44]
Verticillum                           JP [49]
Sordariaceae Sordaria                             CH [51]
Sporocadaceae Monochaetia                             CH [51]
Pestalotiopsis                       JP, CH, PT [43][46][48][49][50][51]
Trichosphaeriaceae Nigrospora                           JP, CH [43][51]
Xenospadicoidaceae Spadicoides                           USA [42]
Valsaceae Phomopsis                         JP [48][49][51]
Incertae sedis Trichothecium                           PT [45][46]
Basidiomycota Agariomycetes Irpicaceae Irpex                             KR [44]
Ceratobasidiaceae Rhizoctonia                             JP [50]
Mucoromycota Mortierellomycetes Mortierellaceae Mortierella                             JP [50]
Mucoromycetes Mucoraceae Mucor                         KR [44]
Rhizopodaceae Rhizopus                             CH [51]

The availability of high-throughput sequencing (HTS) technologies, such as amplicon metagenomics, has revolutionized ecological studies of fungal communities [37] allowing broader insight into the complexity of host-fungal interactions. The primary fungal DNA barcode ITS is commonly used on HTS-based metabarcoding. Still, caution should be taken when interpreting HTS results since, for several groups of important plant pathogens and endophytes, ITS provides insufficient resolution for species-level assignment [37]. It is recommended that researchers use the ITS2 subregion, less taxonomically biased, with lower length variation and more universal primer sites, or the full ITS region with greater taxonomic resolution and reduced amplification of dead organisms [37]. In the context of PWD, amplicon technologies were firstly applied to characterize bacterial communities (e.g., using the hypervariable regions of 16S rRNA molecule), revealing the presence of PWNs and PWD progression [54][55][52]. Chu et al. [56] described the impact of the disease on root-associated fungi (e.g., ectomycorrhizal fungi, ECMF; dark septate endophytic fungi, DSE; arbuscular mycorrhizal fungi, AMF) in different stands of Pinus tabulaeformis Carriére forest (undisturbed, moderate, and highly disturbed pine stands). The authors showed that fungal community richness and diversity, as well as soil hyphal density, decreased with the increase of disease disturbance. Basidiomycota and Ascomycota were the dominant root-associated fungi, with specific genera present in the different disturbed stands [56].

While exploring PWN growth and development by the fungi of non-infected and infected pine trees, several fungi species showed promising results in the control of nematode populations ( Table 2 ). Naturally occurring Ascomycota fungi from the genera Aureobasidium , Aspergillus, Cephalosporium, Fusarium , Gliocladium , Mucor , Mortierella , Penicillium , Rhizoctonia , and some species of Trichoderma and Verticillium, affected PWN survivability in in vitro or in vivo bioassays [40][48][49][50][57][58]. To further study the effect of Trichoderma sp. on PWN suppression and transmission by M. alternatus, Maehara et al. [59] inoculated several isolates of Trichoderma spp. into wilt-killed P. desinflora logs. Beetles from logs treated with Trichoderma sp. 3 carried less than 1000 nematodes. The authors suggested that combining the use of this fungus for PWN control with the entomopathogenic fungus Beauveria bassiana for M. alternatus control could represent a potential biocontrol application in PWD [59]. The entomopathogenic fungus B. pseudobassiana, isolated from naturally infected M. galloprovincialis in Spain, has also showed potential as a natural insect population regulator [60], and it may also be feasible in combination with other PWN control agents.

Table 2. Nematode-fungi interactions in pine wilt disease (PWD). List of fungal species with a positive effect on pine wood nematode (PWN) multiplication and distribution, and potential agents for biocontrol applications with respect to PWD management.
Fungi in Interaction with PWNs Mode of Action References
Growth promotors Botrytis cinerea Increase of PWN population growth in in vitro mycelial fungi [49]
Ceratocystis sp. Increase of PWN population growth in in vitro mycelial fungi and in pine segments of Pinus densiflora [39][40][49]
Diplodia sp. Increase of PWN population growth in in vitro mycelial fungi [49]
Pestalotia sp. Increase of PWN population growth in in vitro mycelial fungi and in pine segments of Pinus thunbergii [39][40]
Macrophoma sp. Increase of PWN population growth in in vitro mycelial fungi and in pine segments of Pinus thunbergii [39][40][61]
Fusarium sp. Increase of PWN population growth in in vitro mycelial fungi [39][40]
Ophiostoma minus Increase of PWN population growth in wood blocks of Pinus thunbergii; Increase of PWN population growth in Pinus densiflora bolts; Increased no. of PWNs carried by emerging Monochamus alternatus [57][58][61][62][63][64]
Leptographium sp. Increase of PWN population growth in logs of Pinus densiflora; Increase of axenic PWN population on autoclaved cuttings of Pinus thunbergii [48][49][62]
Crytosporiopsis sp. Increase of PWN population growth in wood blocks of Pinus densiflora [48]
Sporothrix sp. Increase of PWN population growth in in vitro mycelial fungi [65][64]
Ophiostoma ips Increase of PWN population growth in in vitro mycelial fungi and in segments of Pinus thunbergii [65][66][63]
Leptographium pine-densiflorae Increase of PWN population growth in in vitro mycelial fungi [64]
Trichoderma sp. 1 Increase of PWN population growth in in vitro mycelial fungi [48]
Trichaptum abietinum
Arthrobotrys sp.
Gloeophyllum striatum
Cryptoporus volvatus
Increase of PWN population growth in in Pinus densiflora; Increased no. of PWNs carried by emerging Monochamus alternatus [61]
Potential for biocontrol applications Alternaria sp.
Epicoccum sp.
Decrease of PWN population growth in in vitro mycelial fungi [49]
Aureobasidium sp.
Aspergillus sp.
Gliocladium sp.
Mucor sp.
Mortierella sp.
Penicillium sp.
Rhizoctonia sp.
Decrease of PWN population growth in in vitro mycelial fungi [50]
Cystidiophorus castaneus Decrease of PWN population growth in Pinus densiflora; Decrease the no. of PWNs carried by emerging Monochamus alternatus [61]
Cephalosporium Decrease of PWN population growth in in vitro mycelial fungi [49][50]
Fusarium sp. Decrease of PWN population growth in in vitro mycelial fungi [49][50]
Pycnoporus coccineus Decrease of PWN population growth in Pinus densiflora; Decrease in the no. of PWNs carried by emerging Monochamus alternatus [61]
Trichoderma sp. Decrease of PWN population growth in in vitro mycelial fungi and in wood blocks of Pinus densiflora and P. thunbergii; Decrease in the no. of PWNs carried by emerging Monochamus alternatus [49][57][58][61][59]
Verticillium sp. Endoparasitic fungi; Decrease of PWN population growth in in vitro mycelial fungi and in wood blocks of Pinus densiflora and P. thunbergii; Decrease in the no. of PWNs carried by emerging Monochamus alternatus [58][61]
Arthrobotrys conoides Nematode-trapping fungi; Extracellular enzyme Ac1 with nematostatic effect on PWN [67]
Drechslerlia dactyloides Nematode-trapping fungi [68]
Esteya vermicola Endoparasitic fungi; Decrease of PWN population growth in in vitro feeding trials; Volatile compounds attractive to PWN [68][69][70][71][72]
Esteya floridanum Endoparasitic fungi; Decrease of PWN population growth in in vitro feeding trials [73]
Caryospora callicarpa Nematicidal activity of caryospomycins A to C metabolites exhibit moderate killing of PWN [74]
Geotrichum sp. AL4 Nematicidal activity against PWN [75]
Acremonium sp. BH0531 Nematicidal activity against PWN [76]

4. Conclusions

Plant microbiome is considered a very propitious strategy for fostering plant protection against abiotic and biotic stressors [77]. Research on PWD-associated mycoflora has been slowly progressing since the first studies in the mid-seventies. HTS technologies have enriched the narrow vision of culturomic studies, and we now know that the presence of PWNs can affect the fungal diversity of the infected trees. Ophiostomatoid, or blue-stain fungi, often recovered from wilted pine trees, are considered the most determinative biotic factors for multiplication and distribution of PWNs inside the tree and in the insect-vector. Naturally occurring fungi, endophytic or nematophagous (e.g., nematode-trapping fungi D. dactyloides or the endoparasitic fungi E. vermicola ), should be further explored as new tools for PWD management.


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Subjects: Mycology ; Forestry
Contributors : ,
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Entry Collection: Environmental Sciences
Revisions: 2 times (View History)
Update Time: 20 Oct 2021
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    Inácio, M.L.; Vicente, C. Fungi in Pine Wilt Disease. Encyclopedia. Available online: (accessed on 03 July 2022).
    Inácio ML, Vicente C. Fungi in Pine Wilt Disease. Encyclopedia. Available at: Accessed July 03, 2022.
    Inácio, Maria Lurdes, Cláudia Vicente. "Fungi in Pine Wilt Disease," Encyclopedia, (accessed July 03, 2022).
    Inácio, M.L., & Vicente, C. (2021, October 18). Fungi in Pine Wilt Disease. In Encyclopedia.
    Inácio, Maria Lurdes and Cláudia Vicente. ''Fungi in Pine Wilt Disease.'' Encyclopedia. Web. 18 October, 2021.