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BRIEF RESEARCH REPORT article

Front. Insect Sci., 16 December 2025

Sec. Insect Health and Pathology

Volume 5 - 2025 | https://doi.org/10.3389/finsc.2025.1696497

This article is part of the Research TopicDiversity of Beetles and Associated Microorganisms, Volume IIView all 11 articles

Growth variation of an ambrosia fungus on different tree species indicates host specialization

  • Albert-Ludwigs-Universität Freiburg, Chair of Forest Entomology and Forest Protection, Stegen-Wittental, Germany

Ambrosia beetles rely on mutualistic fungi as a food source for themselves and especially for their offspring, yet the influence of host tree species on fungal growth and specialization remains poorly understood. In this study, we investigated the growth performance of the ambrosia fungus Dryadomyces montetyi, an important nutritional symbiont of the oak pinhole borer Platypus cylindrus, on semi-artificial media infused with extracts of four tree species: Quercus robur, Fagus sylvatica, Abies alba, and Pseudotsuga menziesii. Fungal growth was quantified over time using logistic models of the growth area and final dry weight measurements. The growth of D. montetyi differed significantly among the different host tree substrates. Growth on F. sylvatica was comparable to that on Q. robur; however, both conifer-derived media (A. alba and P. menziesii) exhibited significantly reduced surface expansion speed. Interestingly, growth speed on the European native A. alba was measurably higher than on the non-native P. menziesii. Q. robur medium had the highest fungal density of all tree hosts. However, density estimates were close and only nutrient-rich laboratory growth medium without tree extract differed significantly, as it had by far the highest density as well as growth speed of all measured media. Our findings show that fungal performance reflects the known preference of P. cylindrus for deciduous host trees. Host-related specialization of the fungal symbiont certainly determines host tree selection by P. cylindrus, which affects the evolution of the tripartite interactions between beetle, fungus and host trees.

Introduction

Ambrosia beetles are not a taxonomic classification but rather a polyphyletic group of beetles that share fungus farming as a common ecological lifestyle (1). Fungus farming evolved several times independently in the weevil subfamilies Scolytinae, once in Platypodinae (2), and once in the superfamily Lymexyloidea (3). Ambrosia beetles maintain an obligate mutualistic association with so-called ambrosia fungi, whose spores they carry in highly specialized organs (mycetangia; 4) and inoculate into the wood while excavating breeding tunnels (57). Both larvae and adults obligately rely on these fungi for nutrition (7). Inside their galleries, ambrosia beetles actively manage their fungal symbionts and prevent the spread of competing microorganisms (6, 811). Most ambrosia fungi are members of the phylum Ascomycota, particularly within the orders Ophiostomatales and Microascales and occur in genera such as Ambrosiella, Raffaelea, Dryadomyces and Ophiostoma (12, 13). Today, many ambrosia fungi rely entirely on beetles for survival, whereas their ancestors lived freely and spread with the help of arthropods (14, 15).

The ambrosia beetle Platypus cylindrus (Fabricius, 1792; Coleoptera: Curculionidae: Platypodinae), also known as the oak pinhole borer (16), belongs to the Coleopteran subfamily Platypodinae (17), which comprises more than 1,400 described species. The majority of these species are native to tropical regions, and with only two known exceptions, all are ambrosia beetles (18). Next to P. cylindrus, only one other platypodine species occurs in southern Europe: Platypus oxyurus Dufour. It occurs in the Pyrenees, Turkey, Corsica, Calabria, and Greece and is strictly associated with silver fir (Abies alba Mill.) (19). A Graphium sp. has been isolated from P. oxyurus (20), but it is unclear if it is its main symbiont, because typically Platypodinae are associated with Raffaelea or Dryadomyces spp. (17). In contrast, P. cylindrus has been recorded on various broadleaf tree species. The principal hosts are Quercus spp., along with Fagus sylvatica L. (21). Additional host species include Castanea sativa L. (22), Ulmus spp. (23), Prunus avium L. (20), Juglans regia L. and Fraxinus excelsior L. (24). This diversity demonstrates the wide potential host range of P. cylindrus among deciduous tree species, even though oak species are preferred (21). This relatively polyphagous nature of P. cylindrus should be linked to the polyphagy of its symbiotic fungi, but that has not been tested. More generally, polyphagy is an ancestral trait and possibly an evolutionary adaptation to the high floristic diversity of tropical ecosystems, where most ambrosia beetle taxa originate. In such ecosystems, narrow tree host specialization would be disadvantageous for both beetles and their fungal mutualists (25, 26).

The ecology of P. cylindrus has been extensively studied before the mid-20th century (16, 21, 23, 2729; reviewed in 30), while recent studies have focused on the fungi associated with P. cylindrus (16, 3133). However, platypodine ambrosia beetles are typically associated with a richer fungal community than other ambrosia beetle groups (e.g. compared to Xylosandrus ambrosia beetles; 14), so the role and importance of individual microbial species for the beetles is not fully clear. The currently increasing economic relevance of P. cylindrus calls for a good understanding of the associated microbial players (30, 34).

An early study reported Raffaelea ambrosiae Arx & Hennebert as the nutritional symbiont of P. cylindrus from Great Britain (16, 35). More recent studies from Portugal and Algeria also report Dryadomyces montetyi (M. Morelet) M. Procter & Z.W. de Beer (synonym Raffaelea montetyi M. Morelet) and Raffaelea canadensis L. R. Batra as primary symbionts (3133). However, while P. oxyurus shows a strict host preference for silver fir, P. cylindrus has been observed on several broadleaved tree species, indicating a specialization on broadleaves rather than on a single host. This strong host preference may be attributed to differences in the establishment success of their fungal symbionts. For successful colonization, nutritional fungi must quickly establish within freshly excavated tunnels and maintain a competitive advantage over other microbial taxa.

Experimental studies have shown that ethanol can act as a selective factor, enhancing the initial growth and competitive success of ambrosia fungi after breeding tunnels are inoculated with their spores (15, 36). Furthermore, optimal temperature conditions (37) and the concentration of key nutrients such as nitrogen (38) significantly affect fungal growth. While these factors have been extensively investigated, the role of the host tree species in shaping the growth performance of ambrosia fungi remains poorly understood. We hypothesize that the host tree species significantly affects the growth of D. montetyi, because of the tree-host preference of its beetle associate P. cylindrus, which may reflect patterns of host-tree specialization by the fungus. This would imply that co-evolution may have occurred not only between this beetle and its main fungal symbiont, but also between D. montetyi and oak trees. To test this hypothesis, we measured the performance of D. montetyi on semi-artificial growth medium infused with wood extracts from four different tree species.

Materials and methods

Fungus strain

For all our experiments we used a single strain of D. montetyi (F80052) from our inhouse culture collection at the Chair of Forest Entomology and Forest Protection in Stegen, Germany. This strain was isolated from P. cylindrus infesting an oak stump at a forest edge east of Freiburg, Germany (360 m a.s.l.) in June 2023 (see Appendix for detailed methods). A partial sequence of the ribosomal 28S large subunit (LSU) sequence of this strain is available on NCBI GenBank under the accession number PX240738.

Fungal growth on different modified wood substrates

Wood discs of Abies alba Mill., Pseudotsuga menziesii (Mirbel) Franco, Fagus sylvatica L., and Quercus robur L. (48–56 cm diameter, ~10 cm thickness) were obtained from local sawmills. After five days of storage at room temperature (25 °C), the discs were planed and the resulting wood chips subsequently ground with a rotor mill (18,000 rpm, 2 mm sieve). From 200 g sawdust per tree species, a 20% stock solution was prepared by boiling it in 1 L water for 20 min at 100 °C. It was then filtered and further processed into a standardized Master-Mix medium (see Figure 1). After autoclaving, the medium was poured into Petri dishes (90 mm × 15 mm; 20 ml per dish).

Figure 1
Flowchart depicting the preparation of wood-based mediums and petri dish setup for an experiment. It starts with four types of wood discs—AA, FS, PM, QR—undergoing mechanical planing and grinding into wood chips and sawdust. The sawdust is then boiled and filtered, resulting in 400 milliliters of 20% stock solutions stored in bottles. These solutions are used to prepare a master mix with agar and glucose. Autoclaved bottles are used to create wood-based mediums, which are inoculated with fungi in petri dishes. Images of the colony area are captured and analyzed with software.

Figure 1. Preparation of wood-extract “Master-Mix” medium and plate assay. Wood from four host trees was processed into sawdust, extracted to 20% stocks, combined into a standardized agar medium, poured, and centrally inoculated with D. montetyi for growth and biomass measurements. AA, Abies alba; FS, Fagus sylvatica; PM, Pseudotsuga menziesii; QR, Quercus robur.

Each plate was lined with a cellophane layer and inoculated with a mycelium plug of 2 mm radius taken from a 10-day-old D. montetyi culture grown on nutrient-rich SYEMA medium (3 g yeast extract, 10 g malt extract, 15 g agar, 100 mg Streptomycin, 1 L water). Note that streptomycin is principally not needed for the current experiment but was retained to follow our usual laboratory protocol where it helps reduce bacterial contamination risk. Inoculation was performed centrally using a punch tool, with millimeter paper as positional reference. In total, 40 plates were prepared for the main experiment (10 replicates per tree species) plus two additional SYEMA plates as high-nutrient reference. Fungal growth was documented every 24 h under sterile conditions by orthogonal photographs and quantified with ImageJ (version 1.53k) until either the surface of the Petri dish was fully covered, or four days had elapsed. Subsequently, the mycelium was scraped off the cellophane, dried for 5 days at 50 °C and weighed with a precision balance (Kern PNJ, accuracy 1 mg). Biomass was calculated by differential weighing of empty versus mycelium-containing micro reaction tubes.

Statistical analysis

First, we characterized the growth of fungal propagules over time fitting a logistic growth model to the measured fungus area data: Areaday=A1 + e(dayC)/B

A is the asymptotic maximum area, thus the theoretical maximum growth area

B is the time scaling parameter, indicating growth speed

C is the inflection point, thus the timepoint with fastest fungal growth

Peak growth (= absolute growth at the inflection point) has a more intuitive biological meaning than B and was thus calculated from the derivative dAdt|C=A4·B.

Logistic models were fitted individually for each plate using nlsList in the statistics software R, allowing for plate-specific parameter estimates (see Supplementary Figure 1 for individual curve fits). Standard errors (SE) were extracted to account for differences in measurement precision. We subsequently fitted weighted linear models for peak growth and the logistic growth parameters A and C to assess fungal growth across media derived from different host tree species. Each model had the form: Yi=β0+β1species+β2species+ϵi, weights=1SEi2, where Yi is the parameter of interest, β0 represents growth medium derived from Q. robur as the reference, and βj are differences between medium obtained from Q. robur and each of the other three tree species as well as complete nutrient-rich SYEMA medium. Post-hoc pairwise comparisons were not performed, as Q. robur is the main host and provides the biologically relevant baseline.

Finally, we calculated the fungal tissue density for each plate by dividing the dry weight by the total growth area on the last day of measurement. Those values were then also compared between the different growth media using linear models in the statistical software R. The P. menziesii treatment was excluded from this analysis because the mycelial mass was too low to be accurately measured with our method.

All analyses were conducted in Rstudio (39) with R version 4.4.2 (40), using the nlme (41, 42), dplyr (43), ggplot2 (44), writexl (45) and ggbreak (46) packages.

Results

Fungal growth and biomass differed significantly among growth media, with Q. robur growth medium serving as a biologically relevant reference. The calculated maximum area (A) was highest on Q. robur (6888 mm²), and significantly lower on A. alba (by −2838 mm², p < 0.001) and P. menziesii medium (by −5953 mm², p < 0.001), whereas F. sylvatica (by −703 mm², p = 0.104) and the complete SYEMA medium (by −411 mm², p = 0.30) did not differ significantly from the reference (Table 1, Figure 2, see Supplementary Table 1 in the Supplementary Material for detailed model outputs).

Table 1
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Table 1. Mean growth parameters of the ambrosia fungus D. montetyi across different test media.

Figure 2
Panel A displays a line graph showing fungal area growth over four days for different growth media: Quercus robur, Fagus sylvatica, Abies alba, Pseudotsuga menziesii, and SYEMA, with SYEMA displaying the highest growth. Panel B presents a bar graph of fungal density in micrograms per square millimeter for the same media, showing SYEMA's higher density. Panel C shows a bar graph of peak growth in square millimeters per day, with SYEMA exhibiting the highest rate. Each panel uses color coding for different media.

Figure 2. (A) Logistic growth curves of fungal colony expansion on different growth media. Growth media were either infused with extracts from different tree species (see Figure 1) or with an antibiotic and a high concentration of sugar and nutrients in the case of the standard laboratory growth medium Streptomycin–Yeast Extract–Malt Agar (SYEMA)- Yeast extract- Malt- Agar (SYEMA). Dots represent observed colony areas for replicate plates, with small horizontal jitter to reduce overlap, while solid lines show species-level logistic fits. (B) Fungal density across media, shown as estimated means with error bars indicating standard errors. A pseudo-broken y-axis compresses the high values of SYEMA to allow clearer visualization of variation among the other media (y-axis break at the dotted line). (C) Peak daily growth rates across media, shown as estimated means with standard errors. A pseudo-broken y-axis compresses the extreme values, enabling comparison of lower rates across species (y-axis break at the dotted line).

The inflection point (C) occurred after 2.93 days or 70 hours on Q. robur medium, whereas fungus on the complete SYEMA medium reached peak growth earlier (by −0.344 days or –8 hours, p < 0.001) and A. alba medium slightly later (by +0.196 days or +5 hours, p = 0.050). C did not differ significantly between Q. robur and F. sylvatica or P. menziesii respectively (Table 1, Figure 2, Supplementary Table 1).

Peak growth rate was 3641 mm2 per day in Q. robur and was not significantly different in F. sylvatica medium (by +115 mm2 per day, p = 0.579). Both, media sourced from A. alba (by −1344 mm2 per day, p < 0 .001) and P. menziesii (by −3243 mm2 per day, p < 0.001) had significantly lower peak fungal growth rates, however, on complete SYEMA medium, the peak growth rate was significantly higher than in Q. robur (by +931 mm2 per day, p = 0.013; Table 1, Figure 2, Supplementary Table 1).

Tissue density was 0.636 μg/mm² on Q. robur medium and significantly higher on complete SYEMA medium (by +5.101 μg/mm², p < 0.001). We found no statistically significant fungal tissue density difference between Q. robur and both, F. sylvatica and A. alba respectively (Table 1, Figure 2, Supplementary Table 1).

Discussion

In summary, among all tree-infused media, the ambrosia fungus D. montetyi grew faster on medium derived from the deciduous Q. robur wood than on that derived from the two conifer species. We found no difference in fungal growth between the two deciduous tree-derived media. Although a full set of multiple comparisons was not appropriate for this study design, D. montetyi showed markedly faster growth on the medium prepared from the European native conifer A. alba than on that from the non-native P. menziesii. As expected, the nutrient-rich standard laboratory medium SYEMA promoted both significantly higher growth rates and a much denser fungal tissue.

Methodology

We demonstrate that growing D. montetyi on a semi-artificial medium composed of wood extract and agar is an effective method to differentiate fungal performance on different host tree species, as we could clearly observe significant differences in radial growth parameters and mycelial density between treatments. Here we were limited to using a single strain of D. montetyi, but as ambrosia fungi generally exhibit low intraspecific variation (47), we expect that strain-specific differences play only a minor role. However, further studies using multiple strains are needed to confirm this. We also show that radial growth or fungal surface area alone is not sufficient to measure fungal performance, as two colonies with a similar final growth area, like Q. robur and the nutrient-rich SYEMA medium can produce mycelium that strongly differs in its density. Although we can recommend density calculated from dry mass and final growth area as a reliable metric (see e.g. 36), some caution is advised. The mycelial mass is generally only in the order of a few milligrams when fully covering standard sized petri dishes. Thus, very high precision measurements are needed to accurately measure slow growing fungi. In our study, we had to discard the measurements for the P. menziesii medium, as the fungal growth was below the detection threshold of our one-milligram precision scale. Using higher precision scales or spectrometry approaches could solve this issue. However, the amount of biomass produced on the other types of media was also low, but measurable, as the fungus covered almost the entire plate after three to four days. Thus, to obtain sufficient fungal biomass for comparing treatments with slow growing fungi, we recommend future studies to extend the duration of the experiment and use larger petri dishes or race tubes (e.g. 48). This allows prolonged fungal growth and a better comparison of growth characteristics among the treatments with faster growing fungi. Finally, it may be worth testing qPCR approaches measuring fungal DNA or quantifying nutrients, for example, ergosterol levels as alternative proxies (49).

We show that D. montetyi performs significantly better on the deciduous host tree species that are preferred by the host beetle P. cylindrus. Not only does it grow faster on Q. robur and F. sylvatica medium in comparison to the medium containing extracts of the two conifer species, but it covers significantly larger areas before the growth speed declines. Additionally, it did produce denser mycelium on Q. robur relative to the others, although these differences were not statistically significant (see Figure 2).

Our experiment is able to show differences in fungal growth but cannot explain the cause of these differences. The reduced fungal growth on A. alba and even more strongly on the P. menziesii medium could be because of inhibition caused by defensive chemicals produced by the host tree, differences in sugar concentration or the lack of certain essential micronutrients. To find an explanation for the observed differences in fungal growth between the different treatments, future studies need to analyze the wood extracts and determine the concentration of macro and micronutrients and tree defensive chemicals before and after the fungus has grown on the plates. Polysaccharides such as cellulose and hemicellulose, which are the main structural components of wood, are relatively stable at temperatures below 180 °C (50). However, some minor heat-sensitive compounds that are important under natural conditions may have degraded during sterilization.

Tree host specialization of D. montetyi

Interestingly, D. montetyi is not strictly associated with P. cylindrus, but has also been found in association with Xyleborus dryographus (Ratzeburg, 1837) and Xyleborus monographus (Fabricius, 1793) that also inhabit oak trunks (51). The D. montetyi strains associated with these three different beetle species do not show species-specific genetic variation, indicating recent and potentially ongoing horizontal transfer. Horizontal transfer between these beetle species has been attributed to their shared use of oak trunks and to the fungus’s ability to invade neighboring galleries through woody tissue, a process which should be facilitated by its faster growth rate relative to other ambrosia fungi (51). An alternative explanation could be joint usage of tunnels as has been recently reported to be quite common in some ambrosia beetle species (52). Occasional horizontal symbiont transfer between P. cylindrus and other unrelated ambrosia beetle species may have prevented the evolution of a strong host-symbiont fidelity of D. montetyi.

As most ambrosia beetles have a broad range of host trees, we did not expect that their fungi are more selective (25, 26). Our findings do not support a broad potential host range as we observe that D. montetyi grows significantly faster on deciduous compared to conifer tree-hosts, indicating that there is at least some degree of specialization by the fungus. Unfortunately, there are very few experimental studies that further tested this hypothesis. Castrillo et al. (53) found significant differences in radial growth of different strains of Ambrosiella grosmanniae Mayers, McNew & Harr., the fungal symbiont of Xylosandrus germanus (Blandford, 1894), on medium infused with sawdust of different host tree species. However, they only measured radial growth once after two days and did not measure fungal biomass or density. Therefore, it remains unclear whether the case of D. montetyi is an exception or whether host tree specialization occurs more frequently.

In the context of forestry, it is good news that the specialization of D. montetyi appears to be relatively narrow, which aligns with the observed preference of the beetles for deciduous host trees (21). This is because the economic damage caused to cork oaks in the Mediterranean and oak forests in Central Europe by P. cylindrus is currently increasing rapidly (30). While it is highly likely that this is connected to declining tree health as a result of climate change, concerns have been raised that high P. cylindrus populations may also affect alternative hosts, such as F. sylvatica, as well as proposed future tree species for Central European forests, such as A. alba and P. menziesii. At least for its fungal symbiont, the all-clear can be given for the two conifer species. More detailed analyses of both P. cylindrus and its symbionts are necessary for F. sylvatica to clarify how likely and successful host switches may be.

It is not known if host tree specialization of D. montetyi also affects host beetle fitness or behavior and thus may select for host tree preference by the beetle. Alternatively, in evolutionary history, specialization by beetle hosts may have resulted in subsequent specialization by the fungus. Some studies have experimentally measured ambrosia beetle fitness on semi-artificial substrates using sawdust of different host tree species and found conflicting results. A study on Xyleborus glabratus (Eichhoff, 1877) found lower success rates and decreased productivity on non-preferred host trees (54) and a study on X. germanus found significant differences in progeny produced among four different host tree species even though this beetle is regarded to be a host generalist (53). Contrary to this, a study on the host-tree generalist, Xyleborinus saxesenii (Ratzeburg, 1837) found no effect of host-tree species on beetle fitness (55).

Our findings may indicate why studies come up with opposing results, as we report significant improvements of fungal growth speed and density for the very nutrient-rich SYEMA vs Q. robur medium. This highlights the importance of considering the nutrient content of artificial media that have been used in all the studies above, as it is almost impossible to measure fungal biomass directly on the wood due to the ability of the fungus to penetrate the wood (5, 56). For future studies it would be interesting to test if the differences in fungal growth rate that we observe also align with difference in fitness of P. cylindrus. However, attempts to rear P. cylindrus on artificial medium showed that it is not as easy as for sib-mating Xyleborini (57).

To understand the complex interactions that lead to host-symbiont fidelity, it is crucial to study all partners involved. Except for a few studies mentioned above, most studies have focused on the host tree preference of the beetle (5355), but have not considered possible host tree specialization by their symbiotic fungi. Testing both the performance of ambrosia beetles and their fungal symbionts on different tree hosts will help in identifying and understanding the drivers that shape host-fidelity and the evolution of obligate fungus-farming.

Data availability statement

The raw data supporting the conclusions of this article will be made available by the authors, without undue reservation.

Author contributions

MD: Formal analysis, Writing – original draft, Writing – review & editing, Conceptualization, Data curation, Investigation, Visualization. PB: Conceptualization, Writing – review & editing, Resources, Supervision. LP: Conceptualization, Supervision, Writing – review & editing, Writing – original draft. JN: Formal analysis, Supervision, Visualization, Writing – original draft, Writing – review & editing.

Funding

The author(s) declared that financial support was received for this work and/or its publication. LP was supported by the Netherlands Organization for Scientific Research (NWO-Rubicon grant no. 019.211EN.031) and an Eva Mayr-Stihl Fellowship. MD is supported by a scholarship from the German Academic Scholarship Foundation (Studienstiftung des deutschen Volkes). We acknowledge support from the Open Access Publication Fund of the University of Freiburg.

Acknowledgments

We thank Katrin Hübscher, Andrea Andris, and Hannes Freitag for their assistance in the laboratory, and Angela Haury for support in the office.

Conflict of interest

The author(s) declared that this work was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Generative AI statement

The author(s) declared that generative AI was not used in the creation of this manuscript.

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Supplementary material

The Supplementary Material for this article can be found online at: https://www.frontiersin.org/articles/10.3389/finsc.2025.1696497/full#supplementary-material

References

1. Hulcr J, Atkinson TH, Cognato AI, Jordal BH, and McKenna DD. Chapter 2: Morphology, taxonomy, and phylogenetics of bark beetles. In: Vega FE and Hofstetter RW, editors. Bark Beetles. Academic Press, San Diego, CA (2015). p. 41–84. doi: 10.1016/B978-0-12-417156-5.00002-2

Crossref Full Text | Google Scholar

2. Farrell BD, Sequeira AS, O’Meara BC, Normark BB, Chung JH, and Jordal BH. The evolution of agriculture in beetles (Curculionidae: Scolytinae and Platypodinae). Evolution. (2001) 55:2011–27. doi: 10.1111/j.0014-3820.2001.tb01318.x

PubMed Abstract | Crossref Full Text | Google Scholar

3. Wheeler QD. Revision of the genera of lymexylidae (Coleoptera, cucujiformia). Bull Am Museum Natural History. (1986) 183:1–110. http://hdl.handle.net/2246/960.

Google Scholar

4. Francke-Grosmann H. Zur Übertragung der Nährpilze bei Ambrosiakäfern. Naturwissenschaften. (1956) 43:286–7. doi: 10.1007/BF00622498

Crossref Full Text | Google Scholar

5. Francke-Grosmann H. Hautdrüsen als Träger der Pilzsymbiose bei Ambrosiakäfern. Z für Morphologie und Ökologie der Tiere. (1956) 45:275–308. doi: 10.1007/BF00430256

Crossref Full Text | Google Scholar

6. Batra LR. Ecology of ambrosia fungi and their dissemination by beetles. Trans Kansas Acad Sci. (1963) 66:213–36. doi: 10.2307/3626562

Crossref Full Text | Google Scholar

7. Batra LR. Ambrosia fungi: extent of specificity to ambrosia beetles. Science. (1966) 153:193–5. doi: 10.1126/science.153.3732.193

PubMed Abstract | Crossref Full Text | Google Scholar

8. Nuotclà J, Biedermann PHW, and Taborsky M. Pathogen defence is a potential driver of social evolution in ambrosia beetles. Proc R Soc B: Biol Sci. (2019) 286:20192332. doi: 10.1098/rspb.2019.2332

PubMed Abstract | Crossref Full Text | Google Scholar

9. Nuotclà J, Diehl JMC, and Taborsky M. Habitat quality determines dispersal decisions and fitness in a beetle–fungus mutualism. Front Ecol Evol. (2021) 9:602672. doi: 10.3389/fevo.2021.602672

Crossref Full Text | Google Scholar

10. Skelton J, Loyd AL, Smith JA, Blanchette RA, Held BW, and Hulcr J. Fungal symbionts of bark and ambrosia beetles can suppress decomposition of pine sapwood by competing with wood-decay fungi. Fungal Ecol. (2020) 45:100926. doi: 10.1016/j.funeco.2020.100926

Crossref Full Text | Google Scholar

11. Diehl JMC, Kowallik V, Keller A, and Biedermann PHW. First experimental evidence for active farming in ambrosia beetles and strong heredity of garden microbiomes. Proc R Soc B Biol Sci. (2022) 289:20221458. doi: 10.1098/rspb.2022.1458

PubMed Abstract | Crossref Full Text | Google Scholar

12. Massoumi Alamouti S, Tsui CKM, and Breuil C. Multigene phylogeny of filamentous ambrosia fungi associated with ambrosia and bark beetles. Mycological Res. (2009) 113:822–35. doi: 10.1016/j.mycres.2009.03.003

PubMed Abstract | Crossref Full Text | Google Scholar

13. De Beer ZW, Procter M, Wingfield MJ, Marincowitz S, and Duong TA. Generic boundaries in the Ophiostomatales reconsidered and revised. Stud Mycology. (2022) 101:57–120. doi: 10.3114/sim.2022.101.02

PubMed Abstract | Crossref Full Text | Google Scholar

14. Mayers CG, McNew DL, Harrington TC, Roeper RA, Fraedrich SW, Biedermann PHW, et al. Three genera in the Ceratocystidaceae are the respective symbionts of three independent lineages of ambrosia beetles with large, complex mycangia. Fungal Biol. (2015) 119:1075–92. doi: 10.1016/j.funbio.2015.08.002

PubMed Abstract | Crossref Full Text | Google Scholar

15. Ranger CM, Biedermann PHW, Phuntumart V, Beligala GU, Ghosh S, Palmquist DE, et al. Symbiont selection via alcohol benefits fungus farming by ambrosia beetles. Proc Natl Acad Sci. (2018) 115:4447–52. doi: 10.1073/pnas.1716852115

PubMed Abstract | Crossref Full Text | Google Scholar

16. Baker JM. Ambrosia beetles and their fungi, with particular reference to Platypus cylindrus Fab. In: Nutman PS and Mosse B, editors. Symbiotic Associations. Cambridge University Press, London (1963). p. 232–65.

Google Scholar

17. Vanderpool D, Bracewell RR, and McCutcheon JP. Know your farmer: ancient origins and multiple independent domestications of ambrosia beetle fungal cultivars. Mol Ecol. (2018) 27:2077–94. doi: 10.1111/mec.14394

PubMed Abstract | Crossref Full Text | Google Scholar

18. Jordal BH. Platypodinae. In: Leschen RAB and Beutel RG, editors. Arthropoda: Insecta: Coleoptera. Volume 3: Morphology and Systematics (Phytophaga). De Gruyter, Berlin/Boston (2014), ISBN: 978-3-11-027370-0. p. 358–64. doi: 10.1515/9783110274462

Crossref Full Text | Google Scholar

19. Balachowsky A. Coléoptères Scolytides. Paris: Faune de France 50. P. Lechevalier (1949). 320 pp.

Google Scholar

20. Cassier P, Lévieux J, Morelet M, and Rougon D. The mycangia of Platypus cylindrus Fab. and P. oxyurus Dufour (Coleoptera: Platypodidae): structure and associated fungi. J Insect Physiol. (1996) 42:171–9. doi: 10.1016/0022-1910(95)00056-9

Crossref Full Text | Google Scholar

21. Strohmeyer H. Neue Untersuchungen über Biologie, Schädlichkeit und Vorkommen des Eichenkernkäfers, Platypus cylindrus var cylindriformis. Naturwissenschaftliche Zeitschrift für Land- und Forstwirtschaft. (1906) 4.

Google Scholar

22. Nördlinger H. Lehrbuch des Forstschutzes : Abhandlung der Beschädigungen des Waldes durch Menschen, Thiere und die Elemente unbelebter Natur, sowie der dagegen zu ergreifenden Massregeln. 3rd Edn. Berlin: Parey (1884).

Google Scholar

23. Strohmeyer H. Beiträge zur Kenntnis der Biologie von Platypus var.? cylindriformis Reitter. Entomologische Blätter. (1907) 3:65–9.

Google Scholar

24. FNR. Wichtige Forstschädlinge. 1st ed. Germany: Fachagentur Nachwachsende Rohstoffe e. V., Gülzow-Prüzen (2022).

Google Scholar

25. Beaver RA. Host specificity of temperate and tropical animals. Nature. (1979) 281:139–41. doi: 10.1038/281139a0

Crossref Full Text | Google Scholar

26. Beaver RA. Insect–fungus relationships in the bark and ambrosia beetles. In: Wilding N, Collins NM, Hammond PM, and Webber JF, editors. Insect–Fungus Interactions. Academic Press, London (1989). p. 121–43. doi: 10.1016/B978-0-12-751800-8.50011-2

Crossref Full Text | Google Scholar

27. Knotek J. Die Brutgänge des Eichenkernkäfers (Platypus cylindrus F.). Österreichische Vierteljahrsschrift für das Forstwesen. (1896) 46:148–52.

Google Scholar

28. Groschke F. Zur Lebensweise und Bekämpfungsmöglichkeit des Eichenkernkäfers Platypus cylindrus (Fabr.). Verhandlungen der Deutschen Gesellschaft für angewandte Entomologie. (1952) 1952:103–8.

Google Scholar

29. Husson R. Sur la biologie du coléoptère xylophage Platypus cylindrus (Fabr.). Annales Universitatis Saraviensis Sci. (1955) 4:348–56.

Google Scholar

30. Decker MH and Biedermann PHW. Zur Biologie, Historie und forstwirtschaftlichen Rolle des Ambrosiakäfers Platypus cylindrus (Fabricius 1792), bekannt als Eichenkernkäfer (Coleoptera, Curculionidae, Platypodinae). Contributions to Entomology. (2025) 75. doi: 10.3897/contrib.entomol.75.e164168

Crossref Full Text | Google Scholar

31. Inácio ML, Henriques J, Lima A, and Sousa E. Fungi of Raffaelea genus (Ascomycota: Ophiostomatales) associated to Platypus cylindrus (Coleoptera: Platypodidae) in Portugal. Rev Ciências Agrárias. (2008) 31:96–104.

Google Scholar

32. Inácio ML, Henriques J, and Sousa E. Contribution of symbiotic fungi to cork oak colonization by Platypus cylindrus (Coleoptera: Platypodidae). Silva Lusitana. (2011) 19:89–99.

Google Scholar

33. Amoura M, Inacio ML, Nóbrega F, Bonifacio L, Sousa E, and Chakali G. Fungi associated with Platypus cylindrus Fab. (Coleoptera: Curculionidae) from Quercus suber L. @ in North-Eastern Algeria. Int J Agric Plantation Res. (2021) 9:1–8. doi: 10.15739/IJAPR.21.001

Crossref Full Text | Google Scholar

34. Hulcr J and Dunn RR. The sudden emergence of pathogenicity in insect-fungus symbioses threatens naïve forest ecosystems. Proc R Soc B: Biol Sci. (2011) 278:2866–73. doi: 10.1098/rspb.2011.1130

PubMed Abstract | Crossref Full Text | Google Scholar

35. Arx JA and Hennebert GL. Deux champignons ambrosia. Mycopathologia Mycologia Applicata. (1965) 25:309–15. doi: 10.1007/BF02049918

Crossref Full Text | Google Scholar

36. Lehenberger M, Benkert M, and Biedermann PHW. Ethanol-enriched substrate facilitates ambrosia beetle fungi, but inhibits their pathogens and fungal symbionts of bark beetles. Front Microbiol. (2021) 11:590111. doi: 10.3389/fmicb.2020.590111

PubMed Abstract | Crossref Full Text | Google Scholar

37. Nakashima T, Goto C, and Iizuka T. The primary and auxiliary ambrosia fungi isolated from the ambrosia beetles Scolytoplatypus shogun Blandford (Coleoptera: Scolytidae) and Crossotarsus niponicus Blandford (Coleoptera: Platypodidae). J Faculty Agriculture Hokkaido Univ. (1987) 63:185–208.

Google Scholar

38. Roeper RA and French JJR. Growth of the ambrosia fungus Ambrosiella hartigii on various nitrogen sources. Mycologia. (1981) 73:202–4. doi: 10.1080/00275514.1981.12021333

Crossref Full Text | Google Scholar

39. Posit team. RStudio: Integrated Development Environment for R (2024). Boston, MA: Posit Software, PBC. Available online at: http://www.posit.co/ (Accessed August 19, 2025).

Google Scholar

40. R Core Team. R: A Language and Environment for Statistical Computing (2024). Vienna, Austria: R Foundation for Statistical Computing. Available online at: https://www.R-project.org/ (Accessed August 19, 2025).

Google Scholar

41. Pinheiro JC and Bates DM. Mixed-Effects Models in S and S-PLUS. New York: Springer (2000). doi: 10.1007/b98882

Crossref Full Text | Google Scholar

42. Pinheiro J, Bates D, and R Core Team. nlme: Linear and Nonlinear Mixed Effects Models (2024). Available online at: https://CRAN.R-project.org/package=nlme (Accessed August 19, 2025).

Google Scholar

43. Wickham H, François R, Henry L, Müller K, and Vaughan D. dplyr: A Grammar of Data Manipulation (2023). Available online at: https://CRAN.R-project.org/package=dplyr (Accessed August 19, 2025).

Google Scholar

44. Wickham H. ggplot2: Elegant Graphics for Data Analysis (2016). New York: Springer-Verlag. Available online at: https://ggplot2.tidyverse.org (Accessed August 19, 2025).

Google Scholar

45. Ooms J. writexl: Export Data Frames to Excel “xlsx” Format (2025). Available online at: https://CRAN.R-project.org/package=writexl (Accessed August 19, 2025).

Google Scholar

46. Xu S, Chen M, Feng T, Zhan L, Zhou L, and Yu G. Use ggbreak to effectively utilize plotting space to deal with large datasets and outliers. Front Genet. (2021) 12:774846. doi: 10.3389/fgene.2021.774846

PubMed Abstract | Crossref Full Text | Google Scholar

47. van de Peppel LJJ, Aanen DK, and Biedermann PHW. Low intraspecific genetic diversity indicates asexuality and vertical transmission in the fungal cultivars of ambrosia beetles. Fungal Ecol. (2018) 32:57–64. doi: 10.1016/j.funeco.2017.11.010

Crossref Full Text | Google Scholar

48. Ryan FJ, Beadle GW, and Tatum EL. The tube method of measuring the growth rate of Neurospora. Am J Bot. (1943) 30:784–99. doi: 10.2307/2437554

Crossref Full Text | Google Scholar

49. Gessner MO. Ergosterol as a measure of fungal biomass. In: Bärlocher F, Gessner M, and Graça M, editors. Methods to Study Litter Decomposition. Springer, Cham (2020). doi: 10.1007/978-3-030-30515-4_27

Crossref Full Text | Google Scholar

50. Esteves BM and Pereira HM. Wood modification by heat treatment: a review. BioResources. (2009) 4:370–404. doi: 10.15376/biores.4.1.Esteves

Crossref Full Text | Google Scholar

51. Gebhardt H, Begerow D, and Oberwinkler F. Identification of the ambrosia fungus of Xyleborus monographus and X. dryographus (Coleoptera: Curculionidae, Scolytinae). Mycological Prog. (2004) 3:95–102. doi: 10.1007/s11557-006-0080-1

Crossref Full Text | Google Scholar

52. Scabbio E. Using X-ray tomography to investigate species-specific colonization patterns of ambrosia beetles in flooded trees. University of Padua. (2023). Available online at: https://thesis.unipd.it/handle/20.500.12608/60509 (Accessed August 30, 2025).

Google Scholar

53. Castrillo LA, Griggs MH, and Vandenberg JD. Brood production by Xylosandrus germanus (Coleoptera: Curculionidae) and growth of its fungal symbiont on artificial diet based on sawdust of different tree species. Environ Entomology. (2012) 41:822–7. doi: 10.1603/EN11251

Crossref Full Text | Google Scholar

54. Maner ML, Hanula JL, and Braman SK. Gallery productivity, emergence, and flight activity of the redbay ambrosia beetle Xyleborus glabratus (Coleoptera: Curculionidae: Scolytinae). Environ Entomology. (2013) 42:642–7. doi: 10.1603/EN13014

PubMed Abstract | Crossref Full Text | Google Scholar

55. Melet A and Biedermann PHW. Effect of the host plant on the life history, behaviour and fungal community of a fungus-farming ambrosia beetle. Ecol Entomology. (2024) 49:705–18. doi: 10.1111/een.13341

Crossref Full Text | Google Scholar

56. Mathiesen-Käärik A. Eine Übersicht über die gewöhnlichsten mit Borkenkäfern assoziierten Bläuepilze in Schweden und einige für Schweden neue Bläuepilze. Meddelanden från Statens skogsforskningsinstitut. (1953) 43:1–74.

Google Scholar

57. Decker MH. Eine Übersicht zur Biologie, entopischen Historie und Waldschutzsituation des Ambrosiakäfers Platypus cylindrus (Fabricius 1792) (Eichenkernkäfer) sowie einer experimentellen Untersuchung seiner Pilzsymbionten auf autochthonen und allochthonen Holzsubstraten. Freiburg im Breisgau: Albert-Ludwigs-Universität Freiburg (2023).

Google Scholar

Keywords: ambrosia fungus, Dryadomyces montetyi, ambrosia beetle, mutualism, host specialization, Platypus cylindrus

Citation: Decker MH, Biedermann PHW, van de Peppel LJJ and Nuotclà JA (2025) Growth variation of an ambrosia fungus on different tree species indicates host specialization. Front. Insect Sci. 5:1696497. doi: 10.3389/finsc.2025.1696497

Received: 31 August 2025; Accepted: 28 November 2025; Revised: 05 November 2025;
Published: 16 December 2025.

Edited by:

Hisashi Kajimura, Nagoya University, Japan

Reviewed by:

Lukasz Lech Stelinski, University of Florida, United States
Jesse L. Labbé, Sustainomics, United States
Kylle Roy, USDA Forest Service Pacific Southwest Region, United States

Copyright © 2025 Decker, Biedermann, van de Peppel and Nuotclà. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

*Correspondence: Jon Andreja Nuotclà, am9uLm51b3RjbGFAZ21haWwuY29t

†These authors share last authorship

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