- Research article
- Open Access
The relative ages of ectomycorrhizal mushrooms and their plant hosts estimated using Bayesian relaxed molecular clock analyses
© Hibbett and Matheny; licensee BioMed Central Ltd. 2009
Received: 23 February 2009
Accepted: 10 March 2009
Published: 10 March 2009
Ectomycorrhizae (ECM) are symbioses formed by polyphyletic assemblages of fungi (mostly Agaricomycetes) and plants (mostly Pinaceae and angiosperms in the rosid clade). Efforts to reconstruct the evolution of the ECM habit in Agaricomycetes have yielded vastly different results, ranging from scenarios with many relatively recent origins of the symbiosis and no reversals to the free-living condition; a single ancient origin of ECM and many subsequent transitions to the free-living condition; or multiple gains and losses of the association. To test the plausibility of these scenarios, we performed Bayesian relaxed molecular clock analyses including fungi, plants, and other eukaryotes, based on the principle that a symbiosis cannot evolve prior to the origin of both partners. As we were primarily interested in the relative ages of the plants and fungi, we did not attempt to calibrate the molecular clock using the very limited fossil record of Agaricomycetes.
Topologically constrained and unconstrained analyses suggest that the root node of the Agaricomycetes is much older than either the rosids or Pinaceae. The Agaricomycetidae, a large clade containing the Agaricales and Boletales (collectively representing 70% of Agaricomycetes), is also significantly older than the rosids. The relative age of Agaricomycetidae and Pinaceae, however, is sensitive to tree topology, and the inclusion or exclusion of the gnetophyte Welwitschia mirabilis.
The ancestor of the Agaricomycetes could not have been an ECM species because it existed long before any of its potential hosts. Within more derived clades of Agaricomycetes, there have been at least eight independent origins of ECM associations involving angiosperms, and at least six to eight origins of associations with gymnosperms. The first ECM symbioses may have involved Pinaceae, which are older than rosids, but several major clades of Agaricomycetes, such as the Boletales and Russulales, are young enough to have been plesiomorphically associated with either rosids or Pinaceae, suggesting that some contemporary ECM partnerships could be of very ancient origin.
Ectomycorrhizae (ECM) are symbiotic associations that involve fungi and many of the dominant trees of both temperate and tropical forests. Reconstructing the origins of ECM associations is important to understand the evolution of terrestrial ecosystems, but this task is made difficult by extensive homoplasy in the evolution of these symbioses in both fungi and plants. This study focuses on the evolution of the ECM habit in the Agaricomycotina (Basidiomycota), which contains the vast majority of ECM-forming fungi. Most studies on this subject have used phylogenetic approaches coupled with ancestral state reconstruction (ASR) [1–5]. Here, we use molecular clock analyses to estimate the relative ages of major clades of Agaricomycotina and their potential plant hosts. We focus on key nodes in the fungal phylogeny that subtend clades containing ECM and saprotrophic taxa, and ask whether it is plausible that the ancestors at these nodes could have been partners in ancient ECM associations.
The Agaricomycetes can be further divided into 14 independent clades, eight of which contain ECM species (Agaricales, Boletales, Russulales, Thelephorales, Hymenochaetales, Phallomycetidae, Cantharellales (including 'Tulasnellales'), and Sebacinales). Except for the Thelephorales, all of the ECM-containing clades of Agaricomycetes also contain saprotrophic species (Figure 1). The pattern of transformations between ECM and saprotrophic lifestyles in the Agaricomycetes is controversial. Hibbett et al  reconstructed the evolution of the ECM habit using phylogenetic trees containing 161 species from across the Agaricomycetes. ASR using equally weighted parsimony and maximum likelihood (ML) methods suggested that the ancestor of the Agaricomycetes was saprotrophic, and that there have been 7 to 13 independent gains of the ECM habit and three to nine losses (reversals to the saprotrophic condition) across the Agaricomycetes. The inferred reversals to the free-living condition were surprising, in part because they suggested that mutualisms are not stable endpoints in evolution. The largest concentration of 'secondarily derived' saprotrophs inferred by Hibbett et al  was in the Agaricomycetidae, a large clade containing the Agaricales (13,233 described species) and Boletales (1316 species), which collectively represent about 70% of Agaricomycetes. The analysis of Hibbett et al  suggested that the most recent common ancestor of the Agaricomycetidae was an ECM-forming species, implying that all of the saprotrophic species of Agaricomycetidae were ultimately derived from symbiotic taxa.
Several recent analyses have cast doubt on the occurrence of reversals from ECM to saprotrophic lifestyles. Bruns and Shefferson  repeated the parsimony based ASR of Hibbett et al , using the same trees, but with a two-to-one weighting of losses vs. gains. Under this weighting regime, all but one reversal disappeared, and that reversal (involving Lentaria byssoides in the Phallomycetidae) could be an artifact due to limited taxon sampling or erroneous character scoring. Analyses focused within the Agaricales and Boletales have also suggested that there have been multiple origins of the ECM habit and no losses [1, 5]. Yet another scenario for the evolution of ECM in Agaricomycotina was proposed by Weiss and colleagues [7, 11], who suggested that the ancestor of all the Agaricomycetes might have been an ECM species, with many later reversals to the free-living condition. This conclusion was based on the discovery that the Sebacinales, which appears to be the sister group of all other Agaricomycetes, includes many ECM-forming species. In short, tree-based reconstructions of ancestral states have yielded vastly different interpretations of the evolution of ECM in Agaricomycetes, ranging from scenarios with many relatively recent gains and no losses [1, 2, 5], a single ancient gain and many subsequent reversals , or multiple gains and losses .
As an alternative to ASR, molecular clock analyses can be used to identify branches in the phylogeny in which the evolution of ECM could have been possible, based on the principle that a symbiosis cannot arise prior to the origin of both partners. Molecular clock analyses are complicated by heterogeneity in rates of molecular evolution and the need for calibration. The oldest unambiguous Agaricomycete fossils are Quatsinoporites cranhamii ca. 130 to 125 Ma , which is probably in the Hymenochaetales or Polyporales, and Archaeomarasmius leggeti ca. 90 to 94 Ma , which is most likely in the Agaricales, possibly in the 'Marasmioid clade' . The oldest fossils of ECM roots are from the Middle Eocene, ca. 50 Ma . The paucity of Agaricomycete fossils, and uncertainty about their taxonomic placements, severely limit their utility for calibration purposes. The sensitivity of fungal molecular clock analyses to the taxonomic assignments of fossils was demonstrated by Taylor and Berbee , who used the 400 million-year-old ascomycete Paleopyrenomycites devonicus to calibrate a phylogeny of the fungi. Paleopyrenomycites devonicus has been classified in the Sordariomycetes, but Taylor and Berbee argued that it could also be a member of the Dothideomycetes, Chaetothyriomycetes, or Taphrinomycotina (all are Ascomycota). Depending on the placement of P. devonicus, the common ancestor of Dikarya (the clade containing Basidiomycota and Ascomycota) was estimated to be anywhere from 452 to 1489 million years old . Three other molecular clock studies that analyzed datasets with 37 to 129 genes have estimated the Dikarya to be 727 to 1208 million years old [16–18]. The age of plants based on molecular clock analyses is similarly ambiguous, having been estimated to be from 425 to 703 million years old [19, 20]. These discrepancies indicate that it is hazardous to compare absolute age estimates for clades taken from different studies.
The goal of our study was to place bounds on reasonable reconstructions of the evolution of the ECM habit in the Agaricomycetes by estimating the relative ages of selected fungal clades and their potential ECM hosts. We performed Bayesian relaxed molecular clock analyses [21, 22] of a dataset containing genes encoding two subunits of RNA polymerase II (RPB1 and RPB2) and nuclear large and small subunit ribosomal RNA from 69 species, including fungi, plants, and other eukaryotes (Additional file 1), and we assessed which nodes in the fungal phylogeny are young enough to have been involved in ECM associations. As we were interested only in the relative ages of the plant and fungal taxa, we did not attempt to calibrate the molecular clock using the limited fungal fossil record.
We evaluated the relative ages of plant and fungal clades on all three trees, considering clades with non-overlapping 95% highest posterior density ranges (HPDs) of node heights to be significantly different in age. Within the fungi, we focused on the root nodes (most recent common ancestors) of the Agaricomycetes, Agaricomycetidae, Agaricales, Boletales, and Russulales, while in the plants we focused on the root node of the rosids and the stem node of the Pinaceae.
Median and 95% highest posterior densities (in parentheses) of node heights for selected clades of Agaricomycetes and seed plants inferred by Bayesian relaxed molecular clock analysis
Constrained, Welwitschia retained
Constrained, Welwitschia excluded
This is not the first molecular clock study to include both plants and fungi, but it is the first such study with sufficiently detailed taxon sampling to directly compare the relative ages of the nodes that are critical for reconstructing the evolution of ECM associations among the Agaricomycetes. The relaxed molecular clock method that we used is intended to compensate for heterogeneity in rates of molecular evolution, but this nonetheless remains a potential source of error, as illustrated by the impact of Welwitschia on node heights in gymnosperms. It remains to be determined (perhaps through simulation analyses) whether the degree of rate heterogeneity in our dataset is likely to cause artifacts in BEAST analyses. This approach requires an implicit ASR of the ECM habit in angiosperms and gymnosperms, which is discussed below.
Core Eudicots inc. sed.
Rosids inc. sed.
Fagaceae + Juglandaceae + Betulaceae + Casuarinaceae
Within the gymnosperms, the overwhelming majority of ECM taxa are found in the Pinaceae, which are all (so far as is known) capable of entering into the symbiosis . Several species of Juniperus (Cupressaceae) and one species of Wollemia (Araucariaceae) have also been reported to form ECM [36–38], but these reports are controversial . Among the gnetophytes, only Gnetum has been shown to be ECM forming [34, 40]. Based on published gymnosperm phylogenies [23, 24], it is most parsimonious to infer that the ability to form ECM is a synapomorphy of the Pinaceae, whereas it is a derived condition within the Gnetales, Cupressaceae, and Araucariaceae (if it actually occurs in the latter taxa). Therefore, the maximum and minimum ages for the origin of ECM in gymnosperms are set by the split between the lineages leading to gnetophytes and the Pinaceae, which must have occurred by the Permian, about 270 Ma, and the diversification of Pinaceae, which began by the early Cretaceous, ca. 130 Ma [34, 41].
To estimate the minimum number of origins of ECM symbioses in Agaricomycetes, we mapped the node heights of the rosids and Pinaceae onto the phylogeny of the Agaricomycetes [4, 10, 26]. All of our analyses indicate that the Agaricomycetes is too old to have been plesiomorphically mycorrhizal (Figures 1 and 3; Table 1). Our results also suggest that ECM symbioses involving rosids must have evolved independently in each of the eight major clades of Agaricomycetes that contain ECM-forming species (Figure 1). The minimum number of origins of ECM associations involving Pinaceae is more ambiguous. The constrained analysis that retained Welwitschia suggests there must have been at least six origins of ECM involving gymnosperms. Under this set of node heights, it is possible that the common ancestor of Agricomycetidae and Russulales could have been associated with a member of the Pinaceae lineage. The other two analyses, however, suggest that there must have been at least eight origins of ECM associations with gymnosperms, just as with angiosperms (Figure 1).
Our findings are consistent with prior studies that have inferred multiple origins of ECM, with no reversals [1, 2, 5] and they clearly reject the view that the common ancestor of all Agaricomycetes was mycorrhizal, with saprotrophy being a generally derived condition . Evaluation of the multiple-gains-and-losses hypothesis  is not so straightforward, however, in large part because we are unable to reject the hypothesis that the ancestor of the Agaricomycetidae was mycorrhizal. Resolution of this problem would be aided by improved estimates of node heights in gymnosperms, which are obscured by evolutionary rate heterogeneity, particularly involving gnetophytes.
While our results suggest a minimum of six to eight independent origins of the ECM habit in Agaricomycetes, the actual number of transformations between ECM and saprotrophic lifestyles is surely much greater. Analyses of Matheny et al  and Binder and Hibbett  suggest that there were at least 14 independent origins of ECM in the Agaricomycetidae alone (11 gains in Agaricales and three gains in Boletales), and multiple lineages of ECM-forming and saprotrophic taxa are intermingled in the Russulales, Phallomycetidae, Cantharellales, and Sebacinales (it is most parsimonious to infer a single origin of ECM in the Thelephorales, and Hymenochaetales). Our taxon sampling does not span the root nodes of the Phallomycetidae, Cantharellales, and Sebacinales, however, and the design of our study enables us only to reject hypotheses of homology of the ECM habit. Thus, while the relative node heights of Agaricomycetes and potential ECM hosts suggest that there have been at least six to eight origins of ECM in Agaricomycetes, we expect that the actual number of gains is higher, and we are unable to address the possibility of reversals to saprotrophy within derived clades of Agaricomycetes. Detailed resolution of the pattern of transformations within individual clades of Agaricomycetes will require ASR analyses, which could be constrained according to the results of the present study. For example, it seems reasonable to adjust the prior probabilities of the ECM condition in the ancestor of the Agaricomycetes and backbone nodes leading up to the Agaricomycetidae to low values, while a 'flat' prior on symbiotic status would be appropriate for Boletales, Russulales, or any other group of fungi that diversified after the origin of potential host lineages.
Our findings and the fossil record both suggest that the first ECM associations probably involved the Pinaceae, but there is no evidence for a general trend in the evolution of ECM associations from gymnosperm to angiosperm hosts. Indeed, the Boletales and Russulales each appear to be young enough to have been primitively associated with either rosids or Pinaceae (Figures 2 and 3). The Agaricales, in contrast, appears to be significantly older than the rosids, but Laccaria and Amanita, two independently derived ECM-forming lineages within the Agaricales , are each resolved as younger than the rosids (Table 1; Figures 3 to 5). Moreover, recent phylogenetic studies involving ECM-forming taxa in Inocybaceae (Agaricales), Leccinum (Boletales), and Hysterangiales (Phallomycetidae), have resolved scenarios in which the plesiomorphic hosts are angiosperms, with later switches to Pinaceae [42–44]. Most of the larger genera of ECM Agaricomycetes that have been investigated in detail have been shown to associate with diverse gymnosperm and angiosperm hosts . Much of this diversity may be due to recent host-switching events, as shown in Inocybaceae, Leccinum, and the Phallomycetidae. At the same time, our molecular clock analyses imply that some contemporary ECM associations, involving both gymnosperm and angiosperm hosts, may be the direct descendants of partnerships that were established early in the evolution of relatively young groups of Agaricomycetes.
ECM symbioses have had a profound impact on the ecology of forest communities and the diversification of plants and fungi. Reconstructing the evolution of ECM has been difficult, however. Phylogeny-based ASR analyses, which have yielded conflicting results in fungi, are sensitive to tree topology, taxon sampling, and assumptions about evolutionary processes. Paleobiology provides another line of evidence on the problem, but many major groups of ECM-forming fungi have poor or nonexistent fossil records, and lack of precision in taxonomic placements reduces the value of the few available fossils for calibrating molecular clocks.
The approach taken here is independent of both ASR and the fungal fossil record. Our intent was not to reconstruct the origins of ECM in Agaricomycetes in detail, but rather to put 'brackets' on plausible histories of the character. Our results reject the view that the ancestor of the Agaricomycetes could have been an ECM-forming species. ECM associations involving angiosperms have evolved independently in eight major clades of Agaricomycetes, most likely multiple times within several of these clades (including Agaricales and Boletales), and associations with gymnosperms have evolved independently in six to eight clades of Agaricomycetes. The possibility that the ancestor of the Agaricomycetidae was an ECM-forming species cannot be firmly rejected based on our results (because one of our three analyses suggested that the stem node of the Pinaceae could be older than the Agaricomycetidae), although that seems unlikely based on the phylogenetic distribution of ECM and non-ECM clades in both Agaricales and Boletales [1, 5].
Looking forward, there are several promising avenues for improving understanding of the evolution of ECM symbioses in Agaricomycetes. Tree-based ASR approaches can now be modified based on our results; constraints can be placed on nodes that are too old to have been involved in ECM associations, and reconstructions that allow both gains and losses of ECM can be performed within relatively young clades. Additional molecular clock analyses are also needed; resolving the relative ages of the Agaricomycetidae and the Pinaceae (both stem and crown nodes) should be a priority. This study used uncalibrated molecular clocks, which are appropriate to address the relative ages of clades. However, it will eventually be necessary to perform calibrated analyses to place the organismal phylogeny in the context of geological history. It seems unlikely that the fungal fossil record will ever provide a rich set of minimum ages for diverse nodes, such as that available for angiosperms , but well-supported cases of vicariance coupled with the geological record could provide a basis for calibrating fungal molecular clocks.
Our dataset contained published RPB1 and RPB2 protein sequences (1936 amino acids, aligned) and nuclear large and small subunit rRNA gene sequences (3435 nucleotides) from 69 species, including 42 fungi, 17 plants, and 10 other eukaryotes (Additional file 1). We conducted alignments for the primary dataset using ClustalX, then made manual adjustments and excluded ambiguously aligned regions using MacClade 4.0. We constructed XML files for BEAST analysis using BEAUTi v.1.4.4 and conducted Bayesian molecular clock analyses with BEAST v.1.4.2 and 1.4.4, using the uncorrelated relaxed clock with lognormal rate distribution [21, 22]. We employed the WAG+I+G model with four rate categories for proteins (this was the optimal model selected with ProtTest 1.3 ), and the GTR+I+G model with four rate categories for nucleotides, with normally distributed priors for the parameters in models of molecular evolution, a Yule process tree model, and default values for all other settings.
We performed an unconstrained analysis and two topologically constrained analyses using BEAST. In the unconstrained analysis, we used two user-defined starting trees, one with gnetophytes nested within conifers and the other with gnetophytes as the sister group to seed plants (both analyses converged to the same topology). In the constrained analyses, we used a user-defined starting tree and deleted all of the operators from the BEAST XML file that effect topological rearrangements. The BEAST XML file for the unconstrained analysis has been uploaded as Additional File 2. We ran two to five independent MCMC chains for 3.56 to 4.0 million generations total in each analysis. We assessed convergence by inspecting the log likelihood distributions of individual chains in Tracer and typically discarded the first 10% of the states sampled prior to combining results of individual chains in LogCombiner v. 1.4.4 and visualizing trees in TreeAnnotator v.1.4.4. To assess the relative ages of clades, we compared the 95% HPD distributions for node heights (expressed in average numbers of substitutions per site), considering nodes with non-overlapping 95% HPD ranges to be significantly different in age.
To visualize unconstrained branch lengths, we performed non-clock ML analyses, using the RAxML 7.0.4 servers at the Vital-IT Unit of the Swiss Institute of Bioinformatics http://phylobench.vital-it.ch/raxml-bb/ and the CIPRES Portal v1.14 at the San Diego Supercomputing Center http://8ball.sdsc.edu:8889/cipres-web/Home.do[47, 48]. We performed RAxML analyses with or without the topological constraint used in the BEAST analyses, retaining Welwitischia in both cases. As in the BEAST analyses, we employed the WAG model for proteins and the GTR model for nucleotides. RAxML analyses used one hundred rapid bootstrap (RBS) replicates, followed by ML optimization. Among-site rate heterogeneity was modeled with the CAT approximation during RBS and the initial ML optimization, switching to the discrete-gamma model with four rate categories during the final ML optimization . The dataset used in RAxML analyses, and the optimal tree and model parameters from the topologically unconstrained analysis have been uploaded as Additional File 3.
We thank Andrew Rambaut for advice about BEAST, Joe Vieira for assistance in implementing BEAST on Clark University's Linux cluster, and two anonymous reviewers for their constructive criticisms. This research was supported by NSF awards DEB-0228657, DEB-0732968, and DBI-0320875 (DSH, PI), which have supported the Assembling the Fungal Tree of Life project and the Clark University Center for Scientific Computing.
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