Open Access
How to translate text using browser tools
1 November 2009 Ectomycorrhizal Diversity on Dryas octopetala and Salix reticulata in an Alpine Cliff Ecosystem
Martin Ryberg, Ellen Larsson, Ulf Molau
Author Affiliations +

The ectomycorrhizal communities in alpine habitats have been relatively little studied. As global change is predicted to have a large impact in Arctic and alpine environments, it is important to document the fungi of these climatic regions to monitor changes and to understand upcoming successions. This study investigates the ectomycorrhizal community of Dryas octopetala and Salix reticulata on cliff ledges in a mid-alpine setting using the internal transcribed spacer region of nuclear ribosomal DNA for the identification of the fungal component of ectomycorrhizal root tips. It is shown that the community is relatively species rich, with 74 molecular operational taxonomic units (MOTUs)/species, and that it is dominated by Cenococcum geophilum, Thelephoraceae spp., Cortinarius spp., and Sebacinales spp. Furthermore, the dominating species have low specificity regarding the tested hosts and seem likely to be able to facilitate the succession of the alpine tundra to subalpine forest by serving as mycorrhizal partners for establishing pioneer trees.


Alpine ecosystems are predicted to be seriously affected by global warming (ACIA, 2005). One predicted, and already observed, change is that the tree line will advance above the present altitude (Kupfer and Cairns, 1996; Rochefort and Peterson, 1996). Most of the tree species forming the tree line are dependent on ectomycorrhiza (Kernaghan and Harper, 2001), and the ectomycorrhizal community is likely to play an essential role in the establishment of trees above the present tree line (cf. Nara et al., 2003; Nara, 2006). Despite their importance, the ectomycorrhizal communities in alpine habitats remain sparsely investigated.

Cliff ledges constitute key elements in alpine environments as they differ from the surrounding landscape in their microclimate. Due to lower albedo and higher inclination to the sun, many south-facing cliffs have higher temperatures than the surrounding landscape. To a varying degree they are also protected against grazing by mammals. These qualities make them prime sites for early establishment of trees above the present tree line. Such pioneer trees may serve as seed sources to the surrounding area and thereby accelerate the advancement of the tree line.

Several ectomycorrhizal subshrubs and herbs are common in alpine and Arctic plant communities (Väre et al., 1992; Cripps and Eddington, 2005) and are potential sources of ectomycorrhizal fungal inoculum for trees. Dryas octopetala and Salix reticulata are two prominent members of the plant community on calcareous cliff ledges in alpine environments of northern Europe. Both species are well documented as ectomycorrhizal, but whereas S. reticulata (Salicaceae) belongs to a family where the majority of the species can form ectomycorrhiza, D. octopetala (Rosaceae) belongs to a family where most species do not (Wang and Qiu, 2006). Both Dryas and Salix have been found to have fruiting bodies of many different ectomycorrhizal fungi associated with them. Important genera include Cenococcum, Cortinarius, Russula, Inocybe, and Hebeloma, but also genera such as Laccaria and Lactarius (Gulden et al., 1985; Gulden and Jenssen, 1988; Senn-Irlet et al., 1990; Gardes and Dahlberg, 1996). It has also been shown that Arctic and alpine ectomycorrhizal communities can be rather species rich with upwards of 60 fungal species (Gardes and Dahlberg, 1996). Fruiting-body formation does, however, often correspond poorly both to the composition of the below-ground community and to the abundance of the respective constituent species (Horton and Bruns, 2001). This study uses root-tip sampling to explore the ectomycorrhizal community of D. octopetala and S. reticulata occurring on cliff ledges in the mid-alpine zone in northern Sweden, and contrasts the communities of both species against each other to investigate patterns of species specificity. In addition, the importance of seasonal variation and cliff ledge size for the composition of the fungal communities is investigated.

Materials and Methods


This study is part of a long-term project on alpine cliff ecology based at the Abisko Scientific Research Station (The Royal Swedish Academy of Sciences) in northern Sweden. The field site is located near Lake Latnjajaure (68°21′N, 18°30′E; Fig. 1) and is situated in a U-shaped glacial valley in the mid-alpine region. The mean annual temperature is −2 °C (1993–2005). The warmest month (July) has a mean temperature of 8.6 °C and the coldest (February) has a mean temperature of –9.4 °C. The mean annual precipitation is 850 mm (1990–2005) of which 206 mm falls during the growing season (approximately June–August). The sampled cliff ledges are located in a west-facing slope at an elevation of 1010–1040 m above sea level. The dominating bedrock at the site is garnet mica schist but there are also inclusions of marble and dolomite. For further description of the vegetation of the Latnjajaure catchment area, see Lindblad et al. (2006).

Figure 1

(a) The cliffs as seen from the west. (b) The study location plotted on a map depicting the northern part of Europe.



The field work was conducted between 27 June and 5 July 2006, 26 June and 5 July 2007, and 16 and 27 August 2007. Five cliff ledges were sampled in 2006 and four in 2007 (Table 1). In 2006, the five cliff ledges comprised three different width categories (thin, approximately 0.5–1 m wide; medium, approximately 1.5 m; and wide, approximately 8 m). In 2007 the sample regime was altered to include four cliff ledges (three from the previous year) and one reference plot situated below the cliff ledges. If not otherwise stated, cliff ledges (including the reference plot) were used as sample units. Plants of S. reticulata and D. octopetala were collected following a transect parallel to the edge of the cliff (for reference, in the general direction of the cliff ledges). In the first year only S. reticulata were sampled while both species were sampled the second year. In 2006, 20 plants of S. reticulata were sampled from each width category, while during both field periods in 2007, six plants of each species were collected from each cliff ledge. The plants were collected at least 20 cm apart. Dryas octopetala and S. reticulata have a creeping habit often with subterranean stems. The stems were excavated by hand for up to 15 cm and great care was taken to excavate adventitious roots up to 15 cm of length. In the lab, the roots were removed from each plant separately and examined for ectomycorrhizae. Living ectomycorrhizal root tips longer than 1 mm were counted and four tips per plant were randomly selected for DNA extraction. Plants with fewer than four root tips were discarded and replaced by additional sampling. The root-tip samples were stored in lysis buffer until DNA extraction.

Table 1

The sampled cliff ledges and their approximate width and length.



The DNA extractions for the first year were performed using a CTAB-based protocol (Larsson and Jacobsson, 2004). For the second year, the E-Z 96 Plant DNA extraction kit was used following the manufacturers instructions (Omega Bio-Tek). PCR reactions were carried out using IllustraTM PuReTaq Ready-To-Go PCR Beads (GE Healthcare Bio-Sciences AB). The primers ITS1F (Gardes and Bruns, 1993) and LR21 (Hopple and Vilgalys, 1999) were used to amplify the complete ITS region and about 375 bp of the 5′ end of the nuclear large subunit (LSU).

The amplified products were purified using Qiaquick spin columns (Qiagen) with 35 µL elution buffer instead of 100 µL to increase the final DNA concentration. PCR products with a concentration of less than 12 µg DNA mL−1 were re-amplified using internal primers ITS1 and ITS4 (White et al., 1990). Only PCR products with a concentration above 12 µg DNA mL−1 were used for sequencing.

The sequences from the first year (2006) were obtained using the CEQ 8000 DNA analysis system and the DTCS Quick Start Kit (both Beckman Coulter). The second year of sequencing was conducted by Macrogen Inc. (Seoul, South Korea). The ITS3 primer (White et al., 1990) was used for all sequencing to obtain sequences of the ITS2 region and the 5′ part of the LSU region.


The root-tip sequences were queried for similar sequences in INSD (Benson et al., 2008) and UNITE (Kõljalg et al., 2005) using BLAST 2.2.18 (Altschul et al., 1997). Sequences best matched by ectomycorrhizal species were divided into taxonomic groups based on the annotation of the sequences in the BLAST output. Sequences best matched by species of other nutritional modes or that had dubious taxonomic affiliations were excluded from the rest of the analyses. Within the ectomycorrhizal taxonomic groups, the sequences were compared for similarity in the ITS2 region and clustered using a 3% cutoff value of sequence divergence (Hamming distances; Swofford et al., 1996). In addition, each taxonomic group (except for sequences clustering with Cenococcum geophilum) was aligned together with a selection of highly similar sequences from the BLAST outputs as well as sequences selected based on recent phylogenetic studies: Clavulinaceae—Nilsson et al. (2006); CortinariusGarnica et al. (2005); HebelomaYang et al. (2005) and Boyle et al. (2006); InocybeMatheny (2005) and Ryberg et al. (2008); Russulaceae—Shimono et al. (2004); and Sebacinales—Selosse et al. (2007). The alignments were subjected to estimation of maximum likelihood–based phylogenetic inference in RAxML 7.0.4 (Stamatakis, 2006). For each alignment, a search for the best scoring maximum likelihood tree was performed in combination with 100 bootstrap replicates. The similarity analysis was used in combination with the phylogenies to define molecular operational taxonomic units (MOTUs; Floyd et al., 2002), and the taxonomic affinities of the MOTUs were inferred as completely as possible from the phylogenies.


The species richness of the community was investigated using EstimateS 8.0 (Colwell, 2006) to construct mean species accumulation curves and to perform estimations of the real number of MOTUs/species.

To account for differences arising between the samples due to different DNA amplification success, the number of species per sample (cliff ledge) was rarefied to the same number of individuals using the vegan package (Oksanen, 2008) in R (R Development Core Team, 2008) for the comparisons of species richness. An individual was defined as to encompass all root tips of a MOTU/species made from one individual plant collection.

The difference in species richness on S. reticulata between the spring and autumn sampling periods of 2007 was compared with the differences between the spring sampling for the separate years using a paired T-test. Spearman's rank correlation was used to analyze the dependence of species richness on the cliff ledge size using the samples from 2007. To investigate if there were any differences in host preference for the fungi, Fishers exact test was applied to the samples of 2007 (following Tedersoo et al., 2008) using R. The species composition was also investigated using correspondence analysis (CA; using the vegan package) to explore if any apparent correlation with cliff ledge size could be found. Correspondence analysis was also done using year, season, cliff ledge, and plant species for separation of samples to investigate the influence of plant species and season on the ectomycorrhizal community.


DNA sequences were obtained from 472 of the 720 root tips. Of these, 83 sequences were excluded since they could not be confirmed as belonging to ectomycorrhizal taxa, the majority (62) being associated with the ascomycete genus Phialemonium. There were also 11 sequences associated with various anamorphic ascomycete genera, of which one sequence was associated with Rhizoscypus ericae that can form ericoid mycorrhiza and one with Phialocephala fortinii that can form pseudomycorrhizae in the form of dark septate hyphae (Smith and Read, 2008), but neither have been shown to be ectomycorrhizal. The basidiomycete sequences not confirmed to be mycorrhizal were found to be associated to groups such as Cryptococcus, Malassezia, Polyporales, Trechispora, and the tricholomatoid clade (sensu Matheny et al., 2006). The sequence associated with the tricholomatoid clade could not be confirmed as belonging to any of the ectomycorrhizal genera in that group.

To be able to create satisfactory alignments for Cortinarius, the sequences belonging to this genus were divided into two matrices: subgenus Telamonia and remaining Cortinarius. Russulaceae were similarly divided into Lactarius and Russula, and Inocybe were divided into four alignments considering a similar division in Ryberg et al. (2008). The 389 root tips ( Appendix 1 (i1523-0430-41-4-506.s1.pdf); available online only at BioOne ⟨⟩ or at MetaPress ⟨⟩) associated with ectomycorrhizal taxa were found to represent 74 MOTUs/species (45 spp. from 2006 and 49 spp. from 2007; Fig. 2;  Appendix 2 (i1523-0430-41-4-506.s1.pdf) [available online only at BioOne ⟨⟩ or at MetaPress]; Table 2). Of the 74 MOTUs/species, 7 (9%) could be identified to species level, while the rest were named as aff. (when neighboring a fully identified species in the phylogenetic analysis) or cf. (when associated with a sequence annotated with a full, but dubious, species name) of a species, or a genus name plus sp. and a number. The community was found to be dominated by Cenoccocum geophilum (1 MOTU/sp.), Thelephoraceae spp. (25), Sebacinales spp. (18), and Cortinarius spp. (8). There were also MOTUs/species belonging to Inocybe (10), Hebeloma (4), Clavulinaceae (4), and Russulaceae (4; Fig. 3, Table 2). Only 21 MOTUs/species were found on more than one cliff ledge (Table 2) and 35 on more than one plant (Fig. 3). Of the 35 MOTUs/species found on more than one plant, 13 were found on only one host species but five of these were collected only during 2006 when only one host species was sampled.

Figure 2

Maximum likelihood–based phylogenies depicting two particularly difficult groups: (a) Cortinarius subgenus Telamonia, and (b) Sebacinaceae. Bootstrap values over 50 are given above the branches, but some bootstrap values on very short branches are omitted for the sake of clarity. The outgroup taxa (C. rubellus and Auricularia auricula-judae, respectively) have been excluded in the interest of a clear presentation of the focal taxa (Telamonia and Sebacinaceae, respectively). Terminal taxa labeled with UNITE in parenthesis after the species name originate from the UNITE database (Kõljalg et al., 2005). FM202730–FM203118 represent ectomycorrhizal root tips from this study. Sequences representing singletons of a MOTU/species have their species affinity given in parentheses. Lines mark sequences belonging to the same MOTU/species, and the species affinity is marked at the line. The scale bars serve to quantify the length of the branches as measured in expected number of substitutions per base (shown separately for each tree).


Figure 3

Diagram depicting the number of plants from which the ectomycorrhizal fungi MOTUs/species were collected. Black represents the sampling in 2007 while gray represents the sampling in 2006. The species are numbered according to Table 2.


Table 2

The distribution of the molecular operational taxonomic units (MOTUs)/Species between the year, host plant, and the seasons (spring sampling between 26 June and 5 July, autumn between 16 and 27 August). Counted as number of cliff ledges each species occurred on in each category. The numeration (No.) refers to the numbers in Figure 2. For Hebeloma the names in parentheses are from Eberhardt and Beker (personal communication).


The accumulation curve for the 2007 sampling does not level out and this holds true even if the sampling of 2006 is included (Fig. 4). Based on the 2007 samples, the estimated numbers of species ranges from 68 (Chao 1) to 159 (Michaelis Menten). When considering both years, the estimated number ranges from 93 (bootstrap) to 328 (Michaelis Menten; Table 3). The Michaelis Menten estimate calculated in this way is, however, sensitive to uneven sample sizes.

Figure 4

Mean species accumulation curves. The black line represents the sampling in 2007, the dashed line represents the sampling in 2006 and 2007 combined.


Table 3

The estimated species richness using different estimators as calculated in EstimateS. For 2007 (5 samples) and 2006–2007 combined (7 samples). Standard deviation given in parentheses when applicable.


No seasonal difference in species richness was found between spring and autumn (N  =  3, P  =  0.67) and there was no large difference in species composition, either (Table 2). Spearman's rank correlation revealed no significant relation between cliff ledge size and species richness (N  =  5, P  =  0.35). The correspondence analysis revealed a good spread of the species along the two first axes but neither of them seem to be correlated with the cliff ledge size as cliff ledge F and D form the extreme points on the first axes and E and F, the largest and second largest cliff ledges, form the extreme on the second axes (Fig. 5). The second correspondence analysis, using year, season, cliff ledge, and plant to divide samples, did not reveal any clear clustering other than due to cliff ledge, i.e. spatial autocorrelation ( Appendix 3 (i1523-0430-41-4-506.s1.pdf); available online only at BioOne ⟨⟩ or at MetaPress ⟨⟩). When testing for host preference of the fungal species, no significant (P  =  0.63) difference was found between D. octopetala and S. reticulata.

Figure 5

Correspondence analysis. The species are numbered in accordance with Table 2. The circles represent the cliff ledges (labeled according to Table 1). Eigenvalues for axes 1–6 are 0.63, 0.57, 0.46, 0.41, 0.31, and 0.27, respectively.



The tree line in alpine areas is generally formed by species that are obligatorily ectomycorrhizal. In the Scandes of northern Europe this is usually Betula pubescens ssp. czerepanovii. It has been observed that Betula pubescens establishes more readily on eroded soils when in the vicinity of Salix plants (Magnusson and Magnusson, 2001) and that Salix can provide ectomycorrhizal partners for establishing Betula seedlings (Nara and Hogetsu, 2004). The apparent lack of host preferences of the ectomycorrhizal fungi in this study suggests that there is ample fungal inocula, on these cliff ledges, for the establishment of ectomycorrhiza with pioneer trees. This is in accordance with Kernaghan and Harper (2001), who demonstrated that the ectomycorrhizal community of alpine habitats is less host specific than that of subalpine. Furthermore, a study by Harrington and Mitchell (2002) showed that D. octopetala, in a nonalpine habitat, was associated with a wide variety of nonhost-specific fungi that otherwise associate with forest trees. As D. octopetala and S. reticulata are mainly found on calcareous soils, the species pool available for ectomycorrhizal colonization is limited to species tolerant of these conditions. This may have limited the number of host-specific species particularly with respect to fungi restricted to Salix. It cannot be ruled out that there are host-specific fungi on the cliff ledges of this study since several species were found on only one host. These were, however, not abundant enough for any conclusion on their preference to be drawn (Table 2).

The well known relationship of increasing species richness with increased area (Arrhenius, 1921; Peay et al., 2007) was not found in this study in that there were no significant relationships between cliff ledge size and number of species. This could be due to lack of power in the statistical analyses but it may also be that the cliff ledges in these ecosystems are well connected by somatic structures transported by soil movement between cliff ledges or by wind- or animal-dispersed spores. This would mean that the individual cliff ledges should not be viewed as separate units but rather as parts of an integrated community. This is supported by the fact that the CA did not show any size-dependent spread of the cliff ledges in any of the two first axes, indicating that the cliff ledge size is not a gradient over which the ectomycorrhizal community change is correlated. The fact that the differences between the seasons were not significantly larger than the differences between the years corresponds well with Mühlmann et al. (2008), who showed there to be little variation between the seasons in the ectomycorrhizal community of Polygonum viviparum on a successional site in an alpine environment.

The use of single cut-off values for species delimitation over a wide taxonomic scope has been put into question (Nilsson et al., 2008), but the joint approach adopted in the present study was devised to ensure that the MOTUs should correspond reasonably well to distinct species. There were, however, some cases where the delimitation of taxonomic units was difficult, and it cannot be ruled out that there were distinct species that were lumped together, especially within the Cortinarius subgenus Telamonia (e.g. C. decipiens s.l.). Within Sebacinales there seem to be several evolutionary lineages that are not represented as sequences with a full species epithet in GenBank or UNITE. This makes it even more difficult to relate the root-tip samples to species names and to delimit taxa (Nilsson et al., 2009). As a consequence of this incomplete body of reference sequences, some species may have been split into two MOTUs. The extent of these problems should nevertheless be relatively limited (Fig. 2).

Both the accumulation curves and species richness estimators indicate that the communities investigated here hold more than the recovered 74 MOTUs/species. While species estimators are unreliable at low sample intensity (Colwell and Coddington, 1994), and the different estimators applied in this paper show widely different results, it seems likely that the cliff ledge ecosystem of this study holds at least 100 species. Since it is rarely possible to sample ectomycorrhizal communities exhaustively, it is hard to compare species richness between studies (Taylor, 2002), but the richness found here seems to be similar to that of many temperate forest ecosystems (Rosling et al., 2003; Izzo et al., 2005; Kjøller, 2006). The dominating fungal taxa were C. geophilum, Thelephoraceae, Cortinarius (mostly from subgenus Telamonia), and Sebacinales. In addition, Inocybe and Hebeloma were relatively abundant, and there were also representatives of Clavulinaceae and Russulaceae. This is largely in accordance with what Kernaghan and Harper (2001) and Mühlmann et al. (2008) found for other alpine ecosystems, using similar methods as this study, but the Polygonum viviparum community in the study of Mühlmann et al. (2008) seems to be even more dominated by Sebacinales while no such species were reported by Kernaghan and Harper (2001). This study also adds to the observation of Mühlmann and Peintner (2008) that Russulaceae, that is often a dominating component both above and below ground of other ectomycorrhizal communities (Horton and Bruns 2001), is not among the more abundant below ground in an alpine environment.

As in many other studies (e.g. Izzo et al., 2005; Kjøller, 2006; Nara, 2006; Mühlmann et al., 2008), many of the mycorrhizal fungi of the root tips remain unidentified to species level even after DNA sequencing. This may simply be a consequence of the incomplete coverage of fungal species in the international sequence databases; something that is especially true for alpine fungi (Ryberg et al., 2009). It could, however, also be an indication that many ectomycorrhizal species only rarely or perhaps never form fruiting bodies and therefore are undescribed. Together with the fact that many of the fungi found in this study belong to corticoid (forming crust-like fruiting structures) taxa that are often missed in fruiting-body–based surveys, this observation points to the importance of studies based on ectomycorrhizal root tips also in alpine ecosystems. However, for such studies to give a detailed picture of this diversity, more sequences from well identified fruiting bodies are needed and further development of the taxonomy in some groups is desirable so that root-tip samples can be placed in an informative phylogenetic and taxonomic framework.


Abisko Scientific Research Station and the Royal Swedish Academy of Sciences are gratefully acknowledged for hosting the field work. Financial support was received from the Helge Ax:son Johnsons foundation, the Adlerbertska research foundation, Kapten Carl Stenholms donationsfond, and the Research Council for Environmental, Agricultural Sciences and Spatial Planning (Formas). We are also grateful to Kare Liimatainen for help in inferring the identity of Telamonia sequences, Ursula Eberhardt and Henry Beker for help with the identity of the Hebeloma sequences, and to Henrik Nilsson and Josephine Rodriguez for providing input on the manuscript.

References Cited


ACIA C. Symon, L. Arris, and B. Heal . 2005. Arctic Climate Impact Assessment. Cambridge Cambridge University Press. Google Scholar


S. F. Altschul, T. L. Madden, A. A. Schaffer, J. Zhang, Z. Zhang, W. Miller, and D. J. Lipman . 1997. Gapped BLAST and PSI-BLAST: a new generation of protein database search programs. Nucleic Acids Research 25:3389–3402. Google Scholar


O. Arrhenius 1921. Species and area. Journal of Ecology 9:95–99. Google Scholar


D. A. Benson, I. Karsch-Mizrachi, D. J. Lipman, J. Ostell, and D. L. Wheeler . 2008. GenBank. Nucleic Acids Research 36:D25–D30. Google Scholar


H. Boyle, B. Zimdars, C. Renker, and F. Buscot . 2006. A molecular phylogeny of Hebeloma species from Europe. Mycological Research 110:369–380. Google Scholar


R. K. Colwell 2006. EstimateS: Statistical estimation of species richness and shared species from samples. Version 8.0 User's Guide and application published at Scholar


R. K. Colwell and J. A. Coddington . 1994. Estimating terrestrial biodiversity through extrapolation. Philosophical Transactions of the Royal Society (Series B) 345:101–118. Google Scholar


C. L. Cripps and L. H. Eddington . 2005. Distribution of mycorrhizal types among alpine vascular plant families on the Beartooth Plateau, Rocky Mountains, U.S.A., in reference to large-scale patterns in arctic-alpine habitats. Arctic, Antarctic, and Alpine Research 37:177–188. Google Scholar


R. Floyd, E. Abebe, A. Papert, and M. Blaxter . 2002. Molecular barcodes for soil nematode identification. Molecular Ecology 11:839–850. Google Scholar


M. Gardes and T. D. Bruns . 1993. ITS primers with enhanced specificity for Basidiomycetes—Application to the identification of mycorrhizae and rusts. Molecular Ecology 2:113–118. Google Scholar


M. Gardes and A. Dahlberg . 1996. Mycorrhizal diversity in Arctic and alpine tundra: an open question. New Phytologist 133:147–157. Google Scholar


S. Garnica, M. Weiss, B. Oertel, and F. Oberwinkler . 2005. A framework for a phylogenetic classification in the genus Cortinarius (Basidiomycota, Agaricales) derived from morphological and molecular data. Canadian Journal of Botany 83:1457–1477. Google Scholar


G. Gulden and K. M. Jenssen . 1988. Arctic and Alpine Fungi—2. Oslo Soppkunsulenten. Google Scholar


G. Gulden, K. M. Jenssen, and J. Stordal . 1985. Arctic and Alpine Fungi—1. Oslo Soppkonsulenten. Google Scholar


T. J. Harrington and D. T. Mitchell . 2002. Characterization of Dryas octopetala ectomycorrhizas from limestone karst vegetation, western Ireland. Canadian Journal of Botany 80:970–982. Google Scholar


J. S. Hopple Jr. and R. Vilgalys . 1999. Phylogenetic relationships in the mushroom genus Coprinus and dark-spored allies based on sequence data from the nuclear gene coding for the large ribosomal subunit RNA: divergent domains, outgroups, and monophyly. Molecular Phylogenetics and Evolution 13:1–19. Google Scholar


T. R. Horton and T. D. Bruns . 2001. The molecular revolution in ectomycorrhizal ecology: peeking into the black-box. Molecular Ecology 10:1855–1871. Google Scholar


A. Izzo, J. Agbowo, and T. D. Bruns . 2005. Detection of plot-level changes in ectomycorrhizal communities across years in an old-growth mixed-conifer forest. New Phytologist 166:619–630. Google Scholar


G. Kernaghan and K. A. Harper . 2001. Community structure of ectomycorrhizal fungi across an alpine/subalpine ecotone. Ecography 24:181–188. Google Scholar


R. Kjøller 2006. Disproportionate abundance between ectomycorrhizal root tips and their associated mycelia. FEMS Microbiology Ecology 58:214–224. Google Scholar


U. Kõljalg, K-H. Larsson, K. Abarenkov, R. H. Nilsson, I. J. Alexander, U. Eberhardt, S. Erland, K. Høiland, R. Kjøller, E. Larsson, T. Pennanen, R. Sen, A. F. Taylor, L. Tedersoo, T. Vrålstad, and B. M. Ursing . 2005. UNITE: a database providing web-based methods for the molecular identification of ectomycorrhizal fungi. New Phytologist 166:1063–1068. Google Scholar


J. Kupfer and D. Cairns . 1996. The suitability of montane ecotones as indicators of global climatic change. Progress in Physical Geography 20:253–272. Google Scholar


E. Larsson and S. Jacobsson . 2004. The controversy over Hygrophorus cossus settled using ITS sequence data from 200-year-old type material. Mycological Research 108:781–786. Google Scholar


K. E. M. Lindblad, R. Nyberg, and U. Molau . 2006. Generalisation of heterogeneous alpine vegetation in photo-based image classification, Latnjajaure catchment, northern Sweden. Pirineos 161.3a 24, Jaca. Google Scholar


S. H. Magnusson and B. Magnusson . 2001. Effect of enhancement of willow (Salix spp.) on establishment of birch (Betula pubescens) on eroded soils in Iceland. In F. W. Wielgolaski Nordic Mountain Birch Ecosystems. Paris UNESCO; New York: Parthenon. 317–329. Google Scholar


P. B. Matheny 2005. Improving phylogenetic inference of mushrooms with RPB1 and RPB2 nucleotide sequences (Inocybe; Agaricales). Molecular Phylogenetics and Evolution 35:1–20. Google Scholar


P. B. Matheny, J. M. Curtis, V. Hofstetter, M. C. Aime, J-M. Moncalvo, Z-W. Ge, Z-L. Yang, J. C. Slot, J. F. Ammirati, T. J. Baroni, N. L. Bougher, K. W. Hughes, D. J. Lodge, R. W. Kerrigan, M. T. Seidl, D. K. Aanen, M. DeNitis, G. M. Daniele, D. E. Desjardin, B. K. Kropp, L. L. Norvell, A. Parker, E. C. Vellinga, R. Vilgalys, and D. S. Hibbett . 2006. Major clades of Agaricales: a multilocus phylogenetic overview. Mycologia 98:982–995. Google Scholar


O. Mühlmann and U. Peintner . 2008. Ectomycorrhiza of Kobresia myosuroides at a primary successional glacier forefront. Mycorrhiza 18:355–362. Google Scholar


O. Mühlmann, M. Bacher, and U. Peintner . 2008. Polygonum viviparum mycobionts on an alpine primary successional glacier forefront. Mycorrhiza 18:87–95. Google Scholar


K. Nara 2006. Pioneer dwarf willow may facilitate tree succession by providing late colonizers with compatible ectomycorrhizal fungi in a primary successional volcanic desert. New Phytologist 171:187–198. Google Scholar


K. Nara and T. Hogetsu . 2004. Ectomycorrhizal fungi on established shrubs facilitate subsequent seedling establishment of successional plant species. Ecology 85:1700–1707. Google Scholar


K. Nara, H. Nakaya, B. Wu, Z. Zhou, and T. Hogetsu . 2003. Underground primary succession of ectomycorrhizal fungi in a volcanic desert on Mount Fuji. New Phytologist 159:743–756. Google Scholar


R. H. Nilsson, K-H. Larsson, E. Larsson, and U. Kõljalg . 2006. Fruiting body–guided molecular identification of root-tip mantle mycelia provides strong indications of ectomycorrhizal associations in two species of Sistotrema (Basidiomycota). Mycological Research 110:1426–1432. Google Scholar


R. H. Nilsson, E. Kristiansson, M. Ryberg, N. Hallenberg, and K-H. Larsson . 2008. Intraspecific ITS variability in the kingdom Fungi as expressed in the international sequence databases and its implications for molecular species identification. Evolutionary Bioinformatics 4:193–201. Google Scholar


R. H. Nilsson, G. Bok, M. Ryberg, E. Kristiansson, and N. Hallenberg . 2009. A software pipeline for processing and identification of fungal ITS sequences. Source Code for Biology and Medicine 4:1. Google Scholar


J. Oksanen 2008. Multivariate Analysis of Ecological Communities in R: Vegan Tutorial Software manual published by the author. Google Scholar


K. G. Peay, T. D. Bruns, P. G. Kennedy, S. E. Bergemann, and M. Garbelotto . 2007. A strong species-area relationship for eukaryotic soil microbes: island size matters for ectomycorrhizal fungi. Ecology Letters 10:470–480. Google Scholar


R Development Core Team 2008. R: A Language and Environment for Statistical Computing. Vienna R Foundation for Statistical Computing. Google Scholar


R. M. Rochefort and D. L. Peterson . 1996. Temporal and spatial distribution of trees in subalpine meadows of Mount Rainier National Park, Washington, USA. Arctic and Alpine Research 28:52–59. Google Scholar


A. Rosling, R. Landeweert, B. D. Lindahl, K-H. Larsson, T-W. Kuyper, A. F. S. Taylor, and R. D. Finlay . 2003. Vertical distribution of ectomycorrhizal fungal taxa in a podzol soil profile. New Phytologist 159:775–783. Google Scholar


M. Ryberg, R. H. Nilsson, E. Kristiansson, M. Töpel, S. Jacobsson, and E. Larsson . 2008. Mining metadata from unidentified ITS sequences in GenBank: a case study in Inocybe (Basidiomycota). BMC Evolutionary Biology 8:50. Google Scholar


M. Ryberg, E. Kristiansson, E. Sjökvist, and R. H. Nilsson . 2009. An outlook on fungal internal transcribed spacer sequences in GenBank and the introduction of a web-based tool for the exploration of fungal diversity. New Phytologist 181:471–477. Google Scholar


M-A. Selosse, S. Setaro, F. Glatard, F. Richard, C. Urcelay, and M. Weiss . 2007. Sebacinales are common mycorrhizal associates of Ericaceae. New Phytologist 174:864–878. Google Scholar


B. Senn-Irlet, K. M. Jenssen, and G. Gulden . 1990. Arctic and Alpine Fungi—3. Oslo Soppkonsulenten. Google Scholar


Y. Shimono, M. Kato, and S. Takamatsu . 2004. Molecular phylogeny of Russulaceae (Basidiomycetes; Russulales) inferred from the nucleotide sequences of nuclear large subunit rDNA. Mycoscience 45:303–316. Google Scholar


S. E. Smith and D. J. Read . 2008. Mycorrhizal Symbiosis. 3rd edition. New York Academic Press. Google Scholar


A. Stamatakis 2006. RAxML-VI-HPC: Maximum likelihood–based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics 22 21:2688–2690. Google Scholar


D. L. Swofford, G. J. Olsen, P. J. Waddell, and D. M. Hillis . 1996. Phylogenetic inference. In D. M. Hillis, C. Moritz, and B. K. Mable . Molecular Systematics. 2nd edition. Sunderland Sinauer Associates, Inc. 407–514. Google Scholar


A. F. S. Taylor 2002. Fungal diversity in ectomycorrhizal communities: sampling effort and species detection. Plant and Soil 244:19–28. Google Scholar


L. Tedersoo, T. Jairus, B. M. Horton, K. Abarenkov, T. Suvi, I. Saar, and U. Kõljalg . 2008. Strong host preference of ectomycorrhizal fungi in a Tasmanian wet sclerophyll forest as revealed by DNA barcoding and taxon-specific primers. New Phytologist 180:479–490. Google Scholar


B. Wang and Y-L. Qiu . 2006. Phylogenetic distribution and evolution of mycorrhizas in land plants. Mycorrhiza 16:299–363. Google Scholar


H. Väre, M. Vestberg, and S. Eurola . 1992. Mycorrhiza and root-associated fungi in Spitsbergen. Mycorrhiza 1:93–104. Google Scholar


T. J. White, T. Bruns, S. Lee, and J. Taylor . 1990. Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. In M. A. Inns, D. H. Gelfand, J. J. Sninsky, and T. J. White . PCR Protocols: a Guide to Methods and Applications. New York Academic Press. 315–322. Google Scholar


Z. L. Yang, P. B. Matheny, Z-W. Ge, J. C. Slot, and D. S. Hibbett . 2005. New Asian species of the genus Anamikia (euagarics hebelomatoid clade) based on morphology and ribosomal DNA sequences. Mycological Research 109:1259–1267. Google Scholar
Martin Ryberg, Ellen Larsson, and Ulf Molau "Ectomycorrhizal Diversity on Dryas octopetala and Salix reticulata in an Alpine Cliff Ecosystem," Arctic, Antarctic, and Alpine Research 41(4), 506-514, (1 November 2009).
Accepted: 1 April 2009; Published: 1 November 2009
Back to Top