Open Access

Multi-locus phylogeny of lethal amanitas: Implications for species diversity and historical biogeography

  • Qing Cai1, 6,
  • Rodham E Tulloss2,
  • Li P Tang1, 3,
  • Bau Tolgor4,
  • Ping Zhang5,
  • Zuo H Chen5 and
  • Zhu L Yang1Email author
BMC Evolutionary Biology201414:143

DOI: 10.1186/1471-2148-14-143

Received: 15 March 2014

Accepted: 16 June 2014

Published: 21 June 2014

Abstract

Background

Lethal amanitas (Amanita section Phalloideae) are a group of wild, fatal mushrooms causing many poisoning cases worldwide. However, the diversity and evolutionary history of these lethal mushrooms remain poorly known due to the limited sampling and insufficient gene fragments employed for phylogenetic analyses. In this study, five gene loci (nrLSU, ITS, rpb2, ef1-α and β-tubulin) with a widely geographic sampling from East and South Asia, Europe, North and Central America, South Africa and Australia were analysed with maximum-likelihood, maximum-parsimony and Bayesian inference methods. Biochemical analyses were also conducted with intention to detect amatoxins and phalloidin in 14 representative samples.

Result

Lethal amanitas were robustly supported to be a monophyletic group after excluding five species that were provisionally defined as lethal amanitas based on morphological studies. In lethal amanitas, 28 phylogenetic species were recognised by integrating molecular phylogenetic analyses with morphological studies, and 14 of them represented putatively new species. The biochemical analyses indicated a single origin of cyclic peptide toxins (amatoxins and phalloidin) within Amanita and suggested that this kind of toxins seemed to be a synapomorphy of lethal amanitas. Molecular dating through BEAST and biogeographic analyses with LAGRANGE and RASP indicated that lethal amanitas most likely originated in the Palaeotropics with the present crown group dated around 64.92 Mya in the early Paleocene, and the East Asia–eastern North America or Eurasia–North America–Central America disjunct distribution patterns were primarily established during the middle Oligocene to Miocene.

Conclusion

The cryptic diversity found in this study indicates that the species diversity of lethal amanitas is strongly underestimated under the current taxonomy. The intercontinental sister species or sister groups relationships among East Asia and eastern North America or Eurasia–North America–Central America within lethal amanitas are best explained by the diversification model of Palaeotropical origin, dispersal via the Bering Land Bridge, followed by regional vicariance speciation resulting from climate change during the middle Oligocene to the present. These findings indicate the importance of both dispersal and vicariance in shaping the intercontinental distributions of these ectomycorrhizal fungi.

Keywords

Amanita Biogeography Lethal substances Phylogenetic species Molecular clock Synapomorphy

Background

Amanita Pers. (Agaricales, Basidiomycota) is a cosmopolitan genus comprising about 500 described and accepted species [13]. This genus is one of the most known fungal genera because it comprises both deadly poisonous species, e.g., A. phalloides (Fr. : Fr.) Link and valued edible species, e.g., A. caesarea (Scop. : Fr.) Pers. The genus Amanita also plays important roles in forest ecosystems, as a large majority of the species are known to be ectomycorrhizal fungi (ECF) [4]. They are primarily associated with Araucariaceae, Betulaceae, Casuarinaceae, Dipterocarpaceae, Fabaceae, Fagaceae, Myrtaceae, Nothofagaceae, Pinaceae and Polygonaceae [28]. In the traditional classifications based on morphological and anatomical characters, Amanita was often split into two subgenera, Amanita and Lepidella (J.-E. Gilbert) Veselý [9, 10], comprising seven sections Amanita, Caesareae Singer, Vaginatae (Fr.) Quél., Amidella (J.-E. Gilbert) Konrad & Maubl., Lepidella, Phalloideae (Fr.) Quél. and Validae (Fr.) Quél [8]. Molecular phylogenetic studies on Amanita have generally supported these morphological-taxonomic treatments, except for the monophyly of the section Lepidella[1114].

Lethal amanitas are a group of deadly poisonous mushrooms included in the section Phalloideae, and all of them are ECF. In recent decades, mushroom poisoning cases caused by lethal amanitas have been frequently reported, which account for over 90% of all fatal mushroom poisonings worldwide [1519]. These amanitas share several common phenotypic features, including a non-appendiculate pileus, the persistent presence of an annulus, a bulbous stipe base with a limbate volva and amyloid basidiospores [3, 810]. These features make lethal amanitas relatively easy to distinguish from other taxa of Amanita. The presence of lethal substances in these amanitas also make them distinct from other amanitas. The lethal constituents are a kind of cyclic peptide toxins which can be divided into three primary groups: amatoxins, phallotoxins and virotoxins [20].

According to the literature and herbarium surveys, lethal amanitas comprise ca. 50 species worldwide and the majority of them are centred in the Northern Hemisphere (particularly East Asia and North America) in which ca. 37 species have been recorded [3, 5, 6, 9, 2128]. However, despite recent reports of species with both morphological and molecular evidences, the classifications of most amanitas are based exclusively on morphological studies. Thus, taxonomic positions of these species remain largely unverified because identifying different species of lethal amanitas based on morphological and anatomical evidences is often difficult and controversial due to morphological similarities and the paucity of characteristic traits. Furthermore, previous molecular phylogenetic studies of lethal amanitas have either been based on limited sampling or that the employed gene markers were insufficient to resolve the phylogeny [1214, 27, 2934]. Therefore, the true diversity and evolutionary history of lethal amanitas remains largely unknown.

In this study, with a broader sampling, multiple and independent DNA gene fragment analysis in combination with biochemical and morphological analyses, our study intends to (1) test the monophyly of lethal amanitas and assess their phylogenetic position; (2) generate a globally representative molecular phylogeny of lethal amanitas; and (3) reconstruct a biogeographic diversification pattern of lethal amanitas, with an emphasis on their diversification in the Northern Hemisphere.

Methods

Taxon sampling

One hundred fifteen samples from East and South Asia, Europe, North and Central Americas, Africa and Australia were included in this study, representing 33 species of putative lethal amanitas. The samples sequenced in this study were deposited in the Cryptogamic Herbarium of Kunming Institute of Botany, Chinese Academy of Sciences (HKAS), Herbarium of Mycology, Jilin Agricultural University (HMJAU), Mycological Herbarium of Guangdong Institute of Microbiology (GDGM) and the Private Herbarium Rooseveltensis Amanitarum (RET). Each specimen’s scientific name, GenBank accession number and other relevant information included in this study are listed in Additional file 1: Table S1. Forty-eight internal transcribed spacer (ITS) sequences of the nuclear ribosomal RNA were retrieved from GenBank (NCBI; http://blast.ncbi.nlm.nih.gov/; Additional file 2: Table S2). Four species of A. subgen. Amanita were selected as outgroups based on previous studies [11, 14, 32].

DNA extraction and sequencing

Genomic DNA was extracted from fruiting bodies dried in silica gel or from herbarium specimens using the modified CTAB method [35]. Five DNA gene fragments were analysed, including those coding for the second-largest subunit of RNA polymerase II (rpb2), translation elongation factor subunit 1α (ef1-α) and beta-tubulin (β-tubulin), along with two non-protein coding regions, ITS and nrLSU. Primer pairs ITS1/ITS4 or ITS1F/ITS4 [36, 37], LROR/LR5 [38] and 983 F/1567R [39] were used to amplify ITS, nrLSU and ef1-α, respectively. For rpb2 and β-tubulin, initial attempts to amplify using previously published primers designed for fungi [34, 40] resulted in weak or non-specific amplification. To improve the success rate, new primers were designed based on our newly obtained sequences using the online program Primer3 [41]. For β-tubulin, we designed a new primer pair (Am-β-tubulin F: 5′-AAG CGG AGC RGG TAA CAA YTG G-3′; Am-β-tubulin R: 5′-ACR AGY TGG TGR ACR GAG AGY G-3′), that covers the positions 5–26 and 454–475 of A. pantherina (DC. : Fr.) Krombh. [GenBank: AB095881], and 5–26, 449–470 of A. muscaria (L. : Fr.) Lam. [GenBank: DQ060923]. For rpb2, a primer pair (Am-6 F: 5′-TGG GGA ATG GTR TGY CCT GC-3′; Am-7R: 5′-CCC ATK GCT TGT TTR CCC ATG GC-3′) was designed by reducing the degeneracy of the primers used in Matheny [40].

The PCR reactions were conducted on an ABI 2720 Thermal Cycler (Applied Biosystems, Foster City, CA, USA) or an Eppendorf Master Cycler (Eppendorf, Netheler-Hinz, Hamburg, Germany), and the reactions were conducted using the following profiles: pre-denaturation at 94°C for 4 min, followed by 35 cycles of denaturation at 94°C for 40 s, annealing at 48°C–54°C for 40 s, elongation at 72°C for 60 s (β-tubulin), 90 s (ITS, ef1-α, and rpb2) or 150 s (nrLSU), and a final elongation at 72°C for 8 min. The PCR products were purified before sequencing using a Gel Extraction and PCR Purification Combo Kit (Spin-coloum) (Bioteke, Beijing, China). The purified products were then sequenced on an ABI-3730-XL DNA Analyser (Applied Biosystem, Foster City, CA, USA) using the same primer combinations used for the PCR. Forward and reverse sequences were assembled and edited with SeqMan (DNA STAR package; DNAStar Inc., Madison, WI, USA).

Sequence alignment and phylogenetic analysis

We compiled two datasets, the ITS sequences matrix and a concatenated dataset (nrLSU, rpb2, ef1-α and β-tubulin), to investigate the phylogeny of lethal amanitas. In the combined dataset, the sequences of nrLSU, rpb2, ef1-α and β-tubulin were aligned initially using MUSCLE v3.8.31 [42], and then manually optimised on BioEdit v7.0.5 [43]. To test for potential conflicts among the four gene fragments, maximum likelihood analyses and Bayesian Inference were performed on each individual dataset set with the same setting as in the concatenated analysis (see below). As no conflicts were found (e.g. well-supported differences in the topology; Additional file 3: Figure S1), the four gene fragments were combined with Phyutility [44] for further phylogenetic analysis. Some ambiguously aligned regions, that were characterised by uncertain positions and the presence of introns, were excluded from subsequent analyses.

The ITS dataset was complemented by related sequences from GenBank (http://www.ncbi.nlm.nih.gov/) using the genus search tool complement in emerencia [45]. Taxa outside the section Phalloideae and sequences with little information due to short lengths were discarded after preliminary alignment using the program MAFFT v6.8 [46]. They were realigned using MAFFT and manually edited in 4SALE v1.5 [47]. The realigned matrix contained 134 sequences, and 114 of them were the sequences of putative lethal amanitas.

Maximum likelihood (ML) analysis was conducted on RAxML v7.2.6 [48]. To estimate the branch support with alternative methods, we performed maximum parsimony (MP) bootstrap analysis and Bayesian inference (BI) analysis with PAUP4.0b10 [49] and MrBayes V3.2 [50], respectively. For the ML and BI analyses, the optimal substitution model was determined using the Akaike Information Criterion (AIC) as implemented in MrModeltest v2.3 [51]. The selected substitution models for the five partitions were as follows: General Time Reversible + Proportion Invariant + Gamma (GTR + I + G) for nrLSU, ITS and rpb2, Symmetrical model (SYM) + I + G for ef1-α and Hasegawa-Kishino-Yano (HKY) + I + G for β-tubulin. In the ML analysis, the statistical supports were obtained using a rapid bootstrapping with 1000 replicates, and the other parameters used the default settings. The concatenated dataset was partitioned into four parts by sequence regions. Some of the selected models could not be implemented in RAxML, and thus the GTR + I + G model, which included all of the parameters of the selected model, was used instead. For BI analysis, the combined dataset was partitioned as in the ML analysis, and a partitioned mixed model analysis allowing model parameters to be estimated separately for each gene was applied. Bayesian tree topology and posterior probabilities (PP) were determined from two independent runs of one cold and three heated chains. Runs were performed for 50 million generations with trees sampled every 100 generations. Chain convergence was determined using Tracer v1.5 (http://tree.bio.ed.ac.uk/software/tracer/) to confirm sufficiently large ESS values (>200). Subsequently, the sampled trees were summarised after omitting the first 25% of trees as burn-in using the ‘sump’ and ‘sumt’ command implemented in MrBayes.

MP analyses were performed in PAUP [49] with a heuristic search of 1000 replicates with random stepwise addition using tree-bisection-reconnection (TBR) branch swapping and starting from trees obtained by the stepwise addition of sequences. All of the characters were equally weighted and gaps were treated as missing data. Parsimony bootstrap (PB) analyses [52] with 1000 replicates were subsequently performed using the fast bootstrap option to evaluate the robustness of the MP trees.

Biochemical analysis

Fourteen dried specimens were selected for biochemical analyses. They represented all four sections of A. subgen. Lepidella, with an emphasis on the species which were morphologically assigned in the section Phalloideae but were phylogenetically clustered outside the section in our analyses. The presence of α-amanitin, β-amanitin and phalloidin (standard samples provided by Sigma Chemical Co, USA) was evaluated through high-performance liquid chromatography (HPLC) with the method of Chen et al. [53].

Phylogenetic species determination

Molecular phylogenetic species of lethal amanitas were delimited according to two criteria. The first was the genealogical concordance phylogenetic species recognition (GCPSR) criterion [54], which has been proved to be useful in fungi and is currently the most wildly used identification method in the fungi kingdom [5557]. Phylogenetic species were recognised as genealogically exclusive under GCPSR if they were concordantly supported by multiple independent loci. The second identification criterion was based on the ITS sequences because some of the samples from Europe, North America and South Africa lacked rpb2, ef1-α and β-tubulin sequences in the GenBank database. In this method, the phylogenetic species were recognised according to the inter- and intra-specific variations of the ITS sequence, using criteria established to define phylogenetic or environmental species in previous studies [5860]. Generally speaking, the intraspecific variations of some well-studied species were first compared, and then the highest variation was defined as the threshold to delimit species within this group. In this study, A. exitialis Zhu L. Yang & T.H. Li, A. fuliginea Hongo, A. fuligineoides P. Zhang & Zhu L. Yang, A. ocreata Peck, A. pallidorosea P. Zhang & Zhu L. Yang, A. phalloides, A. rimosa P. Zhang & Zhu L. Yang, A. subjunquillea S. Imai and A. virosa (Fr.) Bertillon, which have been thoroughly studied using both morphological and molecular analyses [3, 5, 27, 31], were selected to establish the conservative cutoff value. Afterwards, all of the well supported terminal branches in the phylogenetic tree inferred from the ITS sequences were treated provisionally as separate species, and then the intra- and inter-specific ITS variations within and among them were calculated and compared with the cutoff value. Any provisionally adopted species showing larger intraspecific variations than the cutoff value were further split into two or more species, and any two or more species harbouring inter-specific variations lower than the cutoff value were combined into a single species. All of the inter- and intra- specific ITS variations were calculated in MEGA v.4.0 using the Maximum Composite Likelihood model [61].

Molecular dating analysis

Given that fossil records of fungi are limited, it has been difficult to choose a reliable calibration point to estimate the divergence time for any fungal groups. Therefore, an extensive sampling of outgroup species for which fossils were available were selected to estimate the divergence time of Amanita. Two primary calibration points were included in our analyses: (1) the divergence between Ascomycota and Basidiomycota, 582 Mya, by placing Paleopyrenomycites devonicus in the subphylum Pezizomycotina [62]; and (2) the divergence between Hymenochaetaceae and Fomitopsidaceae based on the 125 million-year-old fossil, Quatsinoporites cranhamii[63]. The parameter settings for the two calibrations were the same as those used in Feng et al. [59]. As the identifications of the two fossils were largely ambiguous, the estimated divergence time was constrained by the following two values. The estimated divergence time between Ascomycota and Basidiomycota is at least 400 Mya (the divergence time of P. devonicus). The initial diversification of Amanita and lethal amanitas should be close to the divergence time of their host plants suggested by the co-estimation of the fungi and the plants [64]. The calibration point by which the estimated results met the two criteria was eventually chosen for our analyses.

Three gene fragments, nrLSU, rpb2 and ef1-α, were concatenated for molecular dating using the phylogenetic framework described in James et al. [65]. All of the outgroup sequences were retrieved from the nrLSU, rpb2 and ef1-α alignments in the AFToL database [66] (Additional file 4: Table S3). ModelTest v2.3 was used to select the best models of evolution using the hierarchical likelihood ratio test. The origin time of Amanita was estimated in BEAST v.1.6.1 [67], with the molecular clock and substitutions models unlinked but trees linked for each gene partition. The BEAST input files were constructed using BEAUti (within BEAST), in which the GTR + G + I model was selected. The lognormal relaxed molecular clock model and the Yule speciation prior set were used to estimate the divergence times and the corresponding credibility intervals. The posterior distributions of parameters were obtained using MCMC analysis for 50 million generations with a burn-in percentage of 10%. The convergence of the chains was checked using Tracer v1.5. Samples from the posterior distributions were summarised on a maximum clade credibility (MCC) tree with the maximum sum of posterior probabilities on its internal nodes using TreeAnnotator v1.6.1 [67] with the posterior probabilities limit set to 0.5 to summarise the mean node heights. FigTree v1.4.0 (http:// tree. bio. ed. ac. uk/software/Figtree) was used to visualize the resulting tree and to obtain the means and 95% higher posterior densities (HPD) [67]. A 95% HPD marks the shortest interval that contains 95% of the values sampled.

We also estimated the divergence times of the main nodes in lethal amanitas using the ITS dataset, which contained one or two representatives of all of the lethal amanitas included in our analyses. The estimated crown age of lethal amanitas by the combined nrLSU, rpb2 and ef1-α dataset was used as the calibration point to date the ITS phylogeny by setting the prior to a normal distribution. The other procedures were the same as those applied in the estimation using the combined dataset.

Biogeographic analysis

The reconstruction of ancestral areas in a phylogeny is important in understanding the biogeographic diversification history of a lineage, as this makes it possible to infer the original place and dispersal routes of organisms. We employed two alternative event-based methods to infer ancestral areas: (1) a Bayesian Binary MCMC analysis as implemented in the computer software Reconstruct Ancestral States in Phylogenies (RASP) [68], and (2) a maximum likelihood-based method implemented in the computer program LAGRANGE [69]. The ancestral area analyses were conducted on the posterior distribution of the dated ITS phylogeny estimated from BEAST. In the Bayesian MCMC analyses, we chose the F81 model, allowing for different rates of change among ancestral areas. The Bayesian posterior probabilities were determined twice by running 10 chains over 100, 000 generations, saving reconstructions every 100 generations.

The program LAGRANGE was used to run the maximum likelihood analysis, with a simple model involving single rate of dispersal and extinction set as constant over time and across lineages. This program estimates not only the ancestral area for each node but also the probability of range inheritance scenarios. Those regions where the lethal amanitas were introduced with host plants were not included in our analyses. Seven areas were finally delimited: (A) East Asia, (B) Europe, (C) eastern North America, (D) western North America, (E) Central America, (F) Australia and South Africa and (G) South Asia.

Results

Phylogenetic analysis

The combined dataset (nrLSU, rpb2, ef1-α, and β-tubulin), in which the aligned lengths of the four gene loci were 896, 678, 573 and 428 bp respectively, contained 692 parsimony informative sites after excluding 341 bp constituting introns and ambiguously aligned sites. The tree obtained from the ML analysis with LB, PB and PP support based on the dataset is shown in Figure 1. The aligned ITS matrix comprised 850 positions with 502 parsimony-informative sites. The tree inferred from the ML analysis together with LB, PB and PP is shown in Figure 2. Considering only supported clades (PB > 70%, LB > 70% and PP > 95%), the backbone resolution of the phylogenetic tree generated from the combined dataset was higher than the tree inferred from ITS. Although the phylogenetic relationships among sections or species in the ITS tree were not well resolved, the good support in the terminal clades allowed us to delineate species boundaries. In that case, the ITS sequences could also be proposed as a DNA barcode marker for lethal amanitas.
https://static-content.springer.com/image/art%3A10.1186%2F1471-2148-14-143/MediaObjects/12862_2014_Article_2627_Fig1_HTML.jpg
Figure 1

Phylogenetic tree inferred from maximum likelihood (ML) analysis based on the combined dataset (nrLSU, rpb2, ef1 -α and β- tubulin ). Only maximum likelihood bootstraps (LB) and maximum parsimony bootstraps (PB) over 70%, and Bayesian posterior probabilities (PP) over 0.90 are reported on the branches. Thickened branches indicate LB and PB between 90%–100%, and PP between 0.95–1.0. Thickened branches with dots on the root nodes represent 100% LB/PB and 1.0 PP values. The species names in red and blue colour indicate that toxins were detected and were not detected respectively in our biochemical analyses. Species, which were previously allocated in the section Phalloideae and later nested in the section Lepidella, are highlighted by asterisks after their names.

https://static-content.springer.com/image/art%3A10.1186%2F1471-2148-14-143/MediaObjects/12862_2014_Article_2627_Fig2_HTML.jpg
Figure 2

Phylogenetic tree inferred from maximum likelihood (ML) analysis based on ITS sequences. Only LB and PB over 70%, and PP over 0.90 were reported. Thickened branches indicate LB/PB between 90%–100% and PP between 0.95–1.0. Thickened branches with dots on the root nodes represent 100% PB/LB and 1.0 PP values. PSR species were identified according to the GCPSR criterion, the Dist. species were recognised by the variations of ITS sequences, and the Finally accepted species were defined by integrating molecular phylogenetic analyses with morphological studies. Species previously allocated in the section Phalloideae and later nested in the section Lepidella are highlighted by asterisks after their names. Sequences from type collections are indicated by (T).

In all of the analyses, putative lethal amanitas were clustered into two distinctive clades. The majority of them formed a monophyletic group included in the section Phalloideae, whereas A. griseoturcosa T. Oda et al., A. manginiana sensus W. F. Chiu, A. modesta Corner & Bas, A. oberwinklerana Zhu L. Yang & Yoshim. Doi and A. pseudoporphyria Hongo were nested in the section Lepidella with high statistical supports (Figures 1 and 2).

Phylogenetic species recognition

Among all of the recognised phylogenetic lineages of lethal amanitas, 21 of them fulfilled the GCPSR criterion. Our rationale for provisionally recognising three of the remaining lineages, A. sp. 13 (‘A. cf. virosa’ AY325830), A. sp. 15 (‘A. ocreata’ EU909446, GQ250405, AY918962) and A. verna (Bull.: Fr.) Lam. (A. verna EU909448), was based on the fact that they were highly divergent from their sister groups. According to the second identification criterion based on the ITS sequences, the highest intraspecific variation of those reference species was 0.006 (Additional file 5: Table S4). Taking this value as a threshold, 28 species were recognised (Figure 2). Although A. virosa and A. sp. 1 were identified as different species according to the GCPSR criterion, they were defined as a single species according to the ITS variations because their interspecific divergence was equal to 0.006. In addition, the interspecific divergence between two lineages, A. suballiacea RET491-7 and A. suballiacea RET490-1/A. sp. FM999697/A. cf. bisporigera GQ166893, was also equal to 0.006, and thus they were combined as a single species. In contrast, the intraspecific divergence of provisionally adopted ‘A. ocreata’ EU909446/GQ250405/AY918962 and A. sp. 7 were respectively higher than the cutoff value, but they were both defined as a single species because the two species could not been split into more well supported subclades. Based on the two criteria in combination with morphological and anatomical analyses, 28 phylogenetic species were ultimately accepted.

Biochemical analyses

As shown in Table 1 and Additional file 6: Figure S2, A. exitialis, A. ocreata, A. sp. 6, A. sp. 7, A. sp. 9 and A. sp. 10 exhibited the presence of amatoxins or phallotoxins. Yet, we failed to detect either amatoxins or phallotoxins in A. flavipes S. Imai, A. manginiana, A. modesta, A. pseudoporphyria, A. sp. HKAS77321, A. sp. HKAS79690, A. virgineoides Bas and A. zangii Zhu L. Yang et al.
Table 1

Analysis of amatoxins and phallotoxins in representative Amanita species

Taxon

Section

Locality

Voucher

α-AMA

β-AMA

PHD

A. exitialis

Phalloideae

Guangdong, China

HKAS38162

+

+

+

A. flavipes

Validae

Yunnan, China

HKAS79689

A. manginiana

Lepidella

Yunnan, China

HKAS56933

A. modesta

Lepidella

Guangdong, China

HKAS75405

A. ocreata

Phalloideae

California, USA

HKAS79686

+

+

+

A. pseudoporphyria

Lepidella

Yunnan, China

HKAS56984

A. sp.

Phalloideae

Yunnan, China

HKAS77321

A. sp. 6

Phalloideae

Shaanxi, China

HKAS77324

+

+

A. sp. 7

Phalloideae

Hainan, China

HKAS77332

+

A. sp. 9

Phalloideae

Fujian, China

HKAS77323

+

A. sp. 10

Phalloideae

Tasmania, Australia

HKAS77322

+

A. sp.

Amidella

Jiangxi, China

HKAS79690

A. virgineoides

Lepidella

Shandong, China

HKAS79691

A. zangii

Phalloideae

Fujian, China

HKAS77331

α-AMA = α-amanitin; β-AMA = β-amanitin; PHD = phalloidin.

– indicates no or extremely small quantities of toxins were detectable; + indicates that toxins were detected.

Bayesian estimation of divergence times and historical biogeography of lethal amanitas

The alignment of the combined nrLSU, rpb2 and ef1-α dataset, which was compiled only for the molecular dating analysis, consisted of 57 sequences 2428 bp in length. The aligned ITS dataset established to estimate the divergence time and biogeographical history of lethal amanitas was 739 bp in length with 201 parsimony informative sites.

Analyses calibrated by the first point, 582 Mya between Ascomycota and Basidiomycota, estimated the divergence time of Amanita at 158.47 ± 0.59 Mya (116.63–200.71 Mya, 95% HPD) that was close to the conservatively initial divergence time of the host plant family Pinaceae [70], and the initial diversification of lethal amanitas was at 64.84Mya (46.87–86.50Mya, 95% HPD) which was also at the similar time as the divergence of the host families Fagaceae, Casuarinaceae and Dipterocarpaceae [7173]. Based on the second calibration point Q. cranhamii, the divergence time between Ascomycota and Basidiomycota was estimated to be at 285.66 ± 1.07 Mya (227.63–346.27 Mya, 95% HPD) which was much less than the minimal divergence age of Ascomycota/Basidiomycota (400 Mya). Meanwhile, the crown ages of Amanita and lethal amanitas estimated by the calibration point were around 79.77 ± 0.31 (64.39–96.60 Mya, 95% HPD) and 32.86 ± 0.18Mya (24.77–41.13 Mya, 95% HPD), respectively. The two values were also significantly lower than the estimated conservative divergence time of Pinaceae, Fagaceae, Casuarinaceae and Dipterocarpaceae. As a result, the second calibration point seemed to be vastly underestimate the divergence time of Amanita and lethal amanitas. Therefore, the first calibration point was eventually applied and the divergence time of lethal amanitas inferred from it is taken in the further analyses. The chronogram and estimated divergence time of Amanita from the calibration point is shown in Additional file 7: Figure S3.

The inferred historical biogeographic scenarios from analyses using RASP and LAGRANGE are shown in Figure 3. Both the maximum likelihood-based estimation and Bayesian MCMC analyses strongly supported East Asia as the ancestral area of lethal amanitas. Our results also indicated four kinds of intercontinental distribution patterns of sister species or sister groups, viz. East Asia–eastern North America, Eurasia–western North America–eastern North America–Central America, East Asia–Europe, and southern East Asia–South Asia–Australia.
https://static-content.springer.com/image/art%3A10.1186%2F1471-2148-14-143/MediaObjects/12862_2014_Article_2627_Fig3_HTML.jpg
Figure 3

Divergence time estimation and ancestral area reconstruction of lethal amanitas using the ITS dataset. The chronogram was obtained from the molecular clock analysis using BEAST. (A) Pie chart in each node indicates the possible ancestral distributions inferred from a Bayesian Binary MCMC analysis implemented in RASP. The characters above and beneath each branch identify the possible ancestral distribution estimated by the maximum likelihood-based program LAGRANGE. Bayesian credibility values (PP) over 0.95 are indicated near the pie chart of the tree. (B) Colour key to possible ancestral range at different nodes; black with an asterisk represents other ancestral ranges. (C) Global temperature means in the geological history are shown by the curve adapted from Zachos et al. [74].

Discussion

Recircumscription of A.sect. Phalloideae

In our analyses, some unexpected relationships within the section Phalloideae were indicated. Amanita griseoturcosa, A. manginiana, A. modesta, A. pseudoporphyria and A. oberwinklerana, which were previously defined as lethal amanitas based exclusively on morphological studies, are phylogenetically nested in the section Lepidella (Figures 1 and 2), [3, 8, 9, 22, 75]. On the other hand, A. areolata T. Oda et al., A. hesleri Bas and A. zangii are robustly supported to form a monophyletic group with lethal amanitas (Figures 1 and 2), although they were originally allocated to the section Lepidella due to their felty to subfibrillose, adnate volval remnants on pilei, appendiculate pileal margins, and elongated stipes with indistinct bulb with farinose to floccose volval remnants [3, 8, 10, 22]. Our biochemical analyses failed to detect either amatoxins or phallotoxins in A. manginiana (fresh or dried basidiomata of it has been sold as food in free markets in Yunnan for centuries [3]), A. modesta, A. pseudoprphyria (Table 1). We also did not detect any toxins in A. zangii and A. sp. HKAS77321 (Table 1). Consequently, the five species, A. griseoturcosa, A. manginiana, A. modesta, A. pseudoporphyria and A. oberwinklerana, which were previously treated as members of lethal amanitas, should be excluded from the section Phalloideae and then allocated to the section Lepidella. In contrast, A. areolata, A. hesleri and A. zangii should be transferred from the section Lepidella to the section Phalloideae as a basal lineage producing neither amatoxins nor phallotoxins. That kind of similar morphology among distantly related species may have resulted from the evolutionary convergence or from shared plesiomorphies, which is also suggested in other fungi [76, 77]. Moreover, A. zangii and A. areolata are indistinguishable in our molecular phylogenetic analysis (Figure 2), and thus A. areolata should be regarded as a synonym of A. zangii, as suggested by Yang [3] based on morphological studies.

Diversity of lethal amanitas

Nine major lineages comprising 28 phylogenetic species are supported within lethal amanitas (Figures 1 and 2). In the following discussion, we focus on the most significant features circumscribing the major clades and their distribution patterns.

Clade I includes two taxa, the East Asian species A. pallidorosea (C in Figure 4) and the eastern North American species A. bisporigera G. F. Atk. The two taxa share the characteristics of a white basidioma and globose to subglobose basidiospores. Amanita pallidorosea is widely distributed in East Asia from Yunnan, southwestern China to Jilin, northeastern China and Hokkaido, Japan under broad-leaved forests. Although A. pallidorosea is clustered into two subclades in all of the single-gene phylogenetic trees, it is ultimately delimited as a single species following a conservative approach, as the two subclades are not well supported in the phylogenetic trees inferred from both the nrLSU and ITS sequences (Figure 2 and Additional file 3: Figure S1), and the interspecific divergence between them is lower than the cut off values of ITS sequences variations. Zhang et al. [27] suggested that A. pallidorosea, excluding the white forms, could be distinguished from other East Asian white amanitas by its rose pileus with a conspicuous umbo over the disc. However, A. sp. 2 (G in Figure 4) in our study also possesses a pallid rose pileus with a noticeable umbo. Although A. pallidorosea and A. sp. 2 are morphologically similar to each other, they can be distinguished through microscopic analyses, because the spores of A. sp. 2, (7–) 7.5–10 (−11.5) × (7–) 7.5–9 (−10.5) μm, are larger than those of A. pallidorosea (6–) 6.5–8 (−10) × 6–7.5 (−9.5) μm. Amanita bisporigera is the sister species to A. pallidorosea in eastern North America. It is interesting to note that A. pallidorosea has four-spored basidia, while the basidia of A. bisporigera are two-spored.
https://static-content.springer.com/image/art%3A10.1186%2F1471-2148-14-143/MediaObjects/12862_2014_Article_2627_Fig4_HTML.jpg
Figure 4

Representatives of lethal amanitas. (A) Amanita fuliginea; (B) A. fuligineoides; (C) A. pallidorosea; (D) A. subjunquillea; (E) A. rimosa; (F) A. virosa; (G) A. sp. 2; (H) A. sp. 3; (I) A. sp. 4; (J) A. sp. 6; (K) A. sp. 7; and (L) A. sp. 8.

Clade II consists of two species with a white basidioma, A. rimosa (E in Figure 4) from subtropical East Asia under Fagaceae trees, and A. sp. 13 (‘A. cf. virosa’ AY325830) from eastern North America. Amanita rimosa was initially suggested to be distinct from the other white lethal amanitas in its rimose pileal surface [27]. However, this feature is found to be variable and dependent on environmental conditions in our analyses. Compared with other currently known white lethal amanitas restricted to tropical and subtropical East Asia, A. rimosa has a much smaller and more slender basidioma, with a pileus of 1.5–5 cm in diameter.

Clade III includes seven phylogenetic species ranging from the Palearctic to the Nearctic. All of these species have a white basidioma with the exception of A. arocheae which has a grayish pileus. Amanita virosa (F in Figure 4) was originally described from northern Europe under mixed forests of Fagaceae and Pinaceae [5], and it has often been reported in eastern and southern Asia [27, 78]. Based on our molecular and morphological analyses, A. virosa does occur in East Asia, but is restricted to its northeastern region. Amanita virosa was also reported from North America [21]. However, Tulloss et al. [79] questioned its distribution in North America. In our analyses, all of the North American collections closely related to A. virosa are clustered in their own lineage, A. sp. 1. Although the ITS sequences divergence between them is low, they are ultimately delimited as two different species because their monophyly was not well supported even in the combined analysis (Figures 1, 2 and Additional file 3: Figure S1). Therefore, A. virosa only occurs in the Palearctic regions (Europe and northeastern Asia) and its American counterpart might represent a new taxon. Amanita ocreata under the mixed forest of Fagaceae and Pinaceae is the only western North American species in this clade. Because A. sp. 2, A. sp. 11 and A. sp. 12 are all represented by a single sample, their definitions require further research.

Clade IV includes two European species, A. verna and A. phalloides, and one East Asian species, A. subjunquillea (D in Figure 4), with no close relatives known from North America to date. The three species are associated with mixed forest of Fagaceae, Pinaceae and Betulaceae throughout the broad-leaved forests of Europe and East Asia. Amanita verna, which has a white basidioma, is sister to A. phalloides and A. subjunquillea with moderate support values. Amanita subjunquillea and A. phalloides share the characteristic olive-green to yellow pileus. Amanita phalloides was originally described in Europe, and has been introduced to North America, Australia, New Zealand and South Africa together with its host plants [30, 80]. It has also been reported in China [81] and Japan [75]. However, those collections identified as A. phalloides in China were found to be A. subjunquillea[3, 27]. In East Asia, A. subjunquillea has often been mistaken as A. phalloides due to their high degree of morphological similarities and close phylogenetic relationship, but the spores, basidia and basidiomata of A. subjunquillea are usually smaller than those of A. phalloides[3, 8].

Clade V consists of three sympatric species occurring with Fagaceae restricted to tropical and subtropical East Asia, A. fuliginea, A. sp. 3 and A. sp. 4 (A, H and I in Figure 4, respectively). Taxa of this clade are characterised by their small basidioma with a fuliginous to almost blackish pileus 2–6 cm in diameter. The similarity among them may result from the morphological stasis caused by stable and similar habitats, which has been proposed as a common phenomenon in the evolution of fungi [8284]. Zhang et al. [27] suggested that there were two subclades of A. fuliginea, and interpreted one of the subclades (A. sp. 4 in Figures 1 and 2) as a different population or a cryptic species of A. fuliginea. However, in our analyses, the two subclades were suggested to be different species based on both the GCPSR criterion and the variation of ITS sequences (Figures 1 and 2). Amanita fuligineoides (B in Figure 4) in Clade VIII is also morphologically similar to A. fuliginea, but it has a larger-sized basidioma [27].

Clade VI includes four phylogenetic species characterised by white basidioma and subglobose, globose to ellipsoid basidiospores. The four species are largely associated with Fagaceae. In this clade, the delimitation of A. suballiacea is controversial. According to the ITS sequences, A. suballiacea AY325837, A. sp. 14 and A. sp. 16 are identified as different phylogenetic species. However, our morphological and microscopic analyses both indicate that the three collections of A. sp. 14 RET478-6, 490-1 and 491-7 are identical to A. suballiacea. Consequently, they are ultimately treated as a single species (Figure 2). Although the sequence divergence between A. sp. 5 and A. suballiacea is low, they have been proved to be different phylogenetic species by both the GCPSR and ITS sequences divergence criteria (Figures 1 and 2). Amanita sp. 15 (‘A. ocreata’ EU909446, GQ250405 and AY918962) from western North America was identified as A. ocreata, but the real A. ocreata is within Clade III in our analyses as proved by both morphological and anatomical evidence. Thus, A. sp. 15 represents an independent species. Amanita exitialis, which is restricted to tropical and subtropical East Asia, is distinct from its North American sister group in its two-spored basidia.

Clade VII contains two East Asian species, A. sp. 6 and A. sp. 7 (J and K in Figure 4), associated with mixed forests of Fagaceae and Pinus. Amanita sp. 6, with a white basidioma and four-spored basidia, was restricted to temperate East Asia. In contrast, A. sp. 7, with a grayish pileus and two-spored basidia, is only known from tropical East Asia.

Clade IX consists of four phylogenetic species occupying the basal position in the phylogenetic tree (Figure 1). Morphologically, the four species are characterised by their brown, grayish or grey-brown basidiomata with the exception of A. sp. 10, which has a white basidioma. Amanita reidii Eicker & Greuning was originally reported in South Africa under the introduced Australian plant Eucalyptus with a citation of the collection PREM 48618 from Sabie [85], which was erroneously recoded as ‘Amanita phalloides var. umbrina’ in GenBank [AY325825]. The Hawaiian A. marmorata subsp. myrtacearum O. K. Mill. et al. was observed in association with exotic trees of Myrtaceae, Casuarinaceae and Araucariaceae [7]. Hallen et al. [29] suggested that A. reidii might be synonymous with the Australian species A. marmorata subsp. marmorata Cleland & E.-J. Gilbert and the Hawaiian subspecies myrtacearum. Miller et al. [7] suggested that the three taxa, A. marmorata subsp. marmorata, A. marmorata subsp myrtacearum and A. reidii, were a complex of closely related taxa that might have originated in eastern Australia and been imported into the Hawaiian islands and South Africa with their host plants, with which we fully agreed. In our analyses, the three collections from Hawaii and South Africa showed intraspecific divergence lower than the cutoff value, and thus they were identified as a single species, A. reidii (Figure 2). Amanita sp. 10 was collected in Tasmania, Australia under Casuarina. Another two phylogenetic species, A. sp. 8 (L in Figure 4) and A. sp. 9, were collected in South Asia and tropical East Asia associated with Dipterocarpaceae and Fagaceae, respectively. The two species or their affinities are likely to be found in other parts of tropical Asia in future studies.

Although the relationships among the deeper clades of lethal amanitas are not well resolved, a few interesting features seem to have evolved convergently (Figures 1 and 2). For example, species with two-spored basidia such as A. exitialis, A. bisporigera and A. sp. 7 do not have close relationships to each other. Instead, they are closely related to taxa with four-spored basidia. Furthermore, species with unpigmented and pigmented pilei do not correspondingly form monophyletic groups but some of them are clustered together, such as A. sp. 7 (with a gray-brown pileus) and A. sp. 6 (with a white pileus) (Clade VII in Figures 1 and 2). It could be speculated that the characteristics of two-spored basidia and unpigmented/pigmented pilei have evolved independently several times within lethal amanitas. Yet, the presence of lethal substances within Amanita is suggested to have a single origin and it seems to be a synapomorphy of lethal amanitas, because our biochemical analyses show that the sister species of lethal amanitas and those samples from the other three sections of the subgenus Lepidella contained no detectable cyclic peptide toxins (Table 1). That is also consistent with the studies of Hallen et al. [86], in which they proposed that the lack of toxin production among other species of Amanita outside of section Phalloideae were due to the absence of encoding genes.

Divergence time within lethal amanitas and their intercontinental distribution patterns

Our analyses show that the divergence times estimated by the two fossils, which should be consistent, are greatly different. The second calibration point (Q. cranhamii) seems to have vastly underestimated the divergence time of Ascomycota/Basidiomycota and Amanita. That might be resulted from Q. cranhamii representing a relatively young taxon of Quatsinoporites, or that the hypothesised position of this fossil taxon within Basidiomycota requires further verification, as the phylogenetic position of the fossil appears to have great influence over the estimation results. For example, the estimated divergence time between Ascomycota and Basidiomycota varied from 452 Mya to 582 Mya with the calibration point P. devonicus placed in different subphyla of Ascomycota [62, 87].

In our biogeographical analyses, those lethal amanitas in the basal and sub-basal groups were collected in tropical East Asia, South Asia, South Africa and Australia, showing a palaeotropical distribution pattern. Furthermore, the sister species of lethal amanitas, A. zangii and A. sp. HKAS77321, were also collected in the palaeotropical areas (tropical East Asia). These findings strongly suggest a possible palaeotropical origin of lethal amanitas, which has also been suggested for other ECF such as Hysterangiales [88], Inocybaceae [89] and Porcini mushrooms [90]. In the basal group, A. sp. 10 and A. reidii were collected in Australia, South Africa and Hawaii associated with Araucariaceae, Casuarinaceae and Mytraceae, and A. sp. 8 was collected in Bangladesh under Shorea robusta[7, 85]. In addition, there are also about seven lethal amanitas reported in Madagascar, the Congo and South America associated with Fabaceae and Nothofagus[25, 91, 92]. Unfortunately, we know of no collections of these species except types which are not suitable for molecular phylogenetic studies. However, according to the coevolution of fungi and host plants, the Gondwana origin can not be rejected because Araucariaceae, Dipterocarpaceae, Nothofagus and Myrtaceae were all suggested to have a Gondwana origin [9397].

Three independent sister species or sister groups among Eurasia/East Asia and the Americas are indicated in the ancestral area reconstructions analyses (Figures 1, 2 and 3). The first species pair is within Clade I, which exhibits an East Asian–eastern North American disjunct distribution (Graysian distribution, [2]) (Figures 1 and 3), and the estimated divergence time between them is about 11.4 Mya (1.11–13.84 Mya, 95% HPD), in the late Miocene. The second intercontinental distribution among Eurasia and North/Central America is exhibited in Clade III. The dated divergence time of the western American species A. ocreata, which occupies the basal position in the clade, is about 26 Mya (17.74–35.72 Mya, 95% HPD) in the late Oligocene. In addition, the divergence between the Eurasian species A. virosa and its eastern North America counterpart (A. sp. 1) is estimated to occur about 13 Mya (3.75–19.84 Mya, 95% HPD) in the middle Miocene. The other three Central American species in the clade, A. arocheae, A. sp. 11 and A. sp. 12, diversified during 15.7–10 Mya. Due to their close relationships with the North American species and their relatively recent divergence, we speculate that they originated in the northern part of the Americas and then extended into Central America with their host plants oaks, which had a North Temperate origin [2, 98]. The third species group which exhibited the East Asia and North/Central America disjunct distribution pattern is within clade VI, with one East Asian, one western North American and two eastern North American species. The estimated divergence time between the East Asian taxon A. exitialis and its American sister group is around 27 Mya (8.88–46.58 Mya) in the middle Oligocene, and the divergence time between the western North America species A. sp. 15 and its eastern North America sister group is around 19.36 Mya in the early Miocene.

Our results suggest that the intercontinental distribution patterns of the sister species or sister groups among Eurasia/East Asia and the Americas were mainly established during the middle Oligocene to the middle Miocene, which coincides with the paleoclimates. Since the climatic deterioration at 33 Mya, the temperature began to fluctuate from the early Oligocene to the middle Miocene (34–15 Mya) [99]. The fluctuation of temperature, especially the relatively warm climates from the late Oligocene to the middle Miocene, may have allowed temperate elements to migrate between continents via the Bering Land Bridge (BLB). This biogeographic distribution pattern was elucidated in A. muscaria[100], and was also consistent with the diversification of the major host plant family in the Northern Hemisphere, Fagaceae, which appeared to have achieved a continuous distribution spanning Asia, North America, and Europe during the Oligocene through the floristic exchanges via the North Atlantic Land Bridge before the lower Oligocene and later via the BLB, followed by allopatric speciation in the middle Miocene due to the climate change [71].

In Clade IX, the four lethal amanitas from southern East Asia, Hawaii, Australia and South Africa exhibit close relationships. Amanita reidii might have originated from Australia and then been introduced to South Africa with the host plants Eucalyptus[7, 85]. The sister group relationships among the tropical East Asian species A. sp. 9, South Asian species A. sp. 8 and A. reidii are not surprising, as the two continents were connected after the collision of the Australian and Asian plates in the Miocene [101, 102]. However, the estimated divergence time of A. sp. 10 and the other species in the clade, 27 Mya, predates the Miocene collision between Australia and Asia. Amantia sp. 10 might be an old relic of lethal amanitas in the palaeotropical regions because it showed great divergence from other lethal amanitas and occupied a basal position in the phylogenetic tree (Figures 1 and 3). The same may be true for A. rimosa and A. fuligineoides, which showed significant divergence from other lethal amanitas and occupied an isolated position in the phylogenetic tree (Figures 1 and 3).

Our results also confirm an East Asian–European allopatric speciation, viz. A. subjunquillea and A. phalloides. The sequence variations between them are relatively low even in the multi-locus analysis, which indicates a recent divergence, 7 Mya (2.04–12.91 Mya, 95% HPD). It is probable that the divergence of A. subjunquillea and A. phalloides was brought about by the vicariance of a recent common ancestral distribution in the Holarctic region. Later, in the late Miocene, the common ancestor moved southward with their host plants because of the distinct climatic cooling in that period [99, 103], and then diverged into two regional species. These findings indicate that the dispersal-vicariance theory, which has been widely used to explain the disjunctions of plants between the Palearctic and Nearctic regions [104], is applicable in understanding the intercontinental distribution patterns of ECF.

In our molecular phylogenetic analyses, the relationships among the temperate-subtropical clades (Clades I–V, Figure 1) were not well resolved. That could also be explained by the paleoclimatic changes. The gradual global cooling after 50 Mya in the Eocene may have stimulated the early diversification of lethal amanitas into their major extant tropical to temperate clades after origination in the early Paleocene in Palaeotropical areas, whereas the climate deterioration at 33 Mya may have led to an elimination of tropical elements (Figure 3) [103, 105]. That the molecular phylogenetic analyses could not resolve the relationships among those temperate-subtropical clades may be explained by the extinction of tropical species obscuring the relationships among temperate-subtropical clades, or by the rapid speciation of temperate-subtropical species triggered by ecological changes.

Conclusion

For the first time, a comprehensive phylogenetic study of lethal amanitas has been constructed using sequences of five gene fragments with an emphasis on samples from the Northern Hemisphere. Our results strongly supported the monophyly of lethal amanitas and indicated a single origin of the cyclic peptide toxins within Amanita. Twenty eight phylogenetic species of lethal amanitas were revealed, and half of them were proved to be potentially new. Our ancestral area reconstructions and analyses suggested that lethal amanitas probably originated in the Palaeotropical zone at about 64.92 Mya in the Paleocene. The intercontinental distribution patterns of sister species or sister groups among Eurasia and Americas, or among East Asia and the Americas were probably established during the middle Oligocene to Miocene via the BLB, followed by allopatric speciation caused by vicariance. Furthermore, our study highlighted the need for more molecular-phylogenetic studies on collections from the tropics and the Southern Hemisphere.

Availability of supporting data

The data sets supporting the results of this article are available in the Dryad Digital Repository (doi:10.5061/dryad.8db34) [106].

Declarations

Acknowledgments

The authors are very grateful to Dr. Hong Luo (Department of Energy Plant Research Laboratory, Michigan State University, USA), Dr. Genevieve Gates (School of Plant Science, University of Tasmania, Australia), Prof. Fang Li (Sun Yat-Sen University), the curator of the herbaria of GDGM, Dr. Bang Feng, Dr. Nian-Kai Zeng, Dr. Xiang-Hua Wang, Dr. Gang Wu, Dr. Md. Iqbal Hosen, Mr. Qi Zhao, and Dr. Xiao-Fei Shi (Kunming Institute of Botany, Chinese Academy of Sciences) for providing specimens for this study. Dr. Jing-Song Hu (Hunan Normal University, China) is acknowledged for providing the experiment guide in biochemical analyses. We also thank Prof. Dr. Michael Weiβ (University of Tübingen, Germany) and Dr. Bang Feng for improving the manuscript. The anonymous reviewers are also gratefully acknowledged for their comments and suggestions. This study was supported by the Joint Funds of the National Natural Science Foundation of China and Yunnan Provincial Government (U1302263), and the National Basic Research Program of China (2014CB138305).

Authors’ Affiliations

(1)
Key Laboratory for Plant Diversity and Biogeography of East Asia, Kunming Institute of Botany, Chinese Academy of Sciences
(2)
Herbarium Rooseveltensis Amanitarum
(3)
School of Pharmacology, Kunming Medical University
(4)
Institute of Mycology, Jilin Agricultural University
(5)
College of Life Science, Hunan Normal University
(6)
University of Chinese Academy of Sciences

References

  1. Bas C: A broader view on Amanita. Bollettino del Gruppo micologico G Bresadola. 2000, 43: 9-12.Google Scholar
  2. Tulloss RE: Amanita–distribution in the Americas, with comparison to eastern and southern Asia and notes on spore character variation with latitude and ecology. Mycotaxon. 2005, 93: 189-231.Google Scholar
  3. Yang ZL: Flora fungorum sinicorum, volume 27 (Amanitaceae). 2005, Beijing: Science PressGoogle Scholar
  4. Yang ZL, Weiß M, Kottke I, Oberwinkler F, Nehls U, Guttenberger M, Hampp R: Amanita. Ectomycorrhyzal fungi: key genera in profile. Edited by: Cairney JWG, Chambers SM. 1999, New York: Springer-Verlag, 201-230.Google Scholar
  5. Neville P, Poumarat S: Amaniteae: Amanita, Limacella & Torrendia. 2004, Edizioni Candusso: AlssioGoogle Scholar
  6. Wood AE: Studies in the genus Amanita (Agaricales) in Australia. Aust Syst Bot. 1997, 10 (5): 723-854.Google Scholar
  7. Miller OK, Hemmes DE, Wong G: Amanita marmorata subsp. myrtacearum–A new subspecies in Amanita section Phalloideae from Hawaii. Mycologia. 1996, 88 (1): 140-145.Google Scholar
  8. Yang ZL: Die Amanita-Arten von Suedwestchina. Bibl Mycol. 1997, 170: 1-240.Google Scholar
  9. Corner EJH, Bas C: The genus Amanita in Singapore and Malaya. Persoonia. 1962, 2: 241-304.Google Scholar
  10. Bas C: Morphology and subdivision of Amanita and a monograph of its section Lepidella. Persoonia. 1969, 5: 285-579.Google Scholar
  11. Weiβ M, Yang ZL, Oberwinkler F: Molecular phylogenetic studies in the genus Amanita. Can J Bot. 1998, 76 (7): 1170-1179.Google Scholar
  12. Drehmel D, Moncalvo JM, Vilgalys R: Molecular phylogeny of Amanita based on large-subunit ribosomal DNA sequences: implications for taxonomy and character evolution. Mycologia. 1999, 91 (4): 610-618.Google Scholar
  13. Oda T, Tanaka C, Tsuda M: Molecular phylogeny of Japanese Amanita species based on nucleotide sequences of the internal transcribed spacer region of nuclear ribosomal DNA. Mycoscience. 1999, 40 (1): 57-64.Google Scholar
  14. Zhang LF, Yang JB, Yang ZL: Molecular phylogeny of eastern Asian species of Amanita (Agaricales, Basidiomycota): taxonomic and biogeographic implications. Fungal Divers. 2004, 17: 219-238.Google Scholar
  15. Bresinsky A, Besl H: A Colour Atlas of Poisonous Fungi: A Handbook for Pharmacist, Doctor and Biologist. 1990, London: Wolf Publishing LtdGoogle Scholar
  16. Ward J, Kapadia K, Brush E, Salhanick SD: Amatoxin poisoning: case reports and review of current therapies. J Emerg Med. 2013, 44 (1): 116-121.PubMedGoogle Scholar
  17. Roberts DM, Hall MJ, Falkland MM, Strasser SI, Buckley NA: Amanita phalloides poisoning and treatment with silibinin in the Australian Capital Territory and New South Wales. Med J Aust. 2013, 198 (1): 43-47.PubMedGoogle Scholar
  18. Chen ZH, Zhang P, Zhang ZG: Investigation and analysis of 102 mushroom poisoning cases in southern China from 1994 to 2012. Fungal Divers. 2013, 64 (1): 123-131.Google Scholar
  19. Unluoglu I, Tayfur M: Mushroom poisoning: an analysis of the data between 1996 and 2000. Eur J Emerg Med. 2003, 10 (1): 23-26.PubMedGoogle Scholar
  20. Wieland T: Peptides of poisonous Amanita mushrooms. 1986, New York: Springer-VerlagGoogle Scholar
  21. Jenkins DT: Amanita of North America. 1986, Eureka: Mad River PressGoogle Scholar
  22. Oda T, Tanaka C, Tsuda M: Two new species of Amanita from Japan. Mycoscience. 2002, 43 (4): 351-355.Google Scholar
  23. Simmons C, Henkel T, Bas C: The genus Amanita in the Pakaraima Mountains of Guyana. Persoonia. 2002, 17: 563-582.Google Scholar
  24. Tulloss RE, Perezsilva E, Herrera T: Amanita longitibiale–a new species of Amanita section Phalloideae from central Mexico and southeastern USA. Mycotaxon. 1995, 54: 195-202.Google Scholar
  25. Tulloss RE: Amanita eburnea: a new species from Central America. Mycotaxon. 1989, 36 (1): 1-7.Google Scholar
  26. Tulloss RE, Ovrebo CL, Halling RE: Studies on Amanita (Amanitaceae) from Andean Colombia. Memoirs of the New York Botanical Garden. 1992, 66: 1-46.Google Scholar
  27. Zhang P, Chen ZH, Xiao B, Tolgor B, Bao HY, Yang ZL: Lethal amanitas of East Asia characterized by morphological and molecular data. Fungal Divers. 2010, 42 (1): 119-133.Google Scholar
  28. Gilbert EJ: Amanitaceae. Iconographia Mycologica, 27 (Suppl 1–3). Edited by: Bresadola JM. 1940, Trento: Comitato Onoranze Bresadoliane, 1-200.Google Scholar
  29. Hallen HE, Adams GC, Eicker A: Amatoxins and phallotoxins in indigenous and introduced South African Amanita species. S Afr J Bot. 2002, 68 (3): 322-326.Google Scholar
  30. Pringle A, Adams RI, Cross HB, Bruns TD: The ectomycorrhizal fungus Amanita phalloides was introduced and is expanding its range on the west coast of North America. Mol Ecol. 2009, 18 (5): 817-833.PubMedGoogle Scholar
  31. Wolfe BE, Richard F, Cross HB, Pringle A: Distribution and abundance of the introduced ectomycorrhizal fungus Amanita phalloides in North America. New Phytol. 2010, 185 (3): 803-816.PubMedGoogle Scholar
  32. Justo A, Morgenstern I, Hallen-Adams HE, Hibbett DS: Convergent evolution of sequestrate forms in Amanita under Mediterranean climate conditions. Mycologia. 2010, 102 (3): 675-688.PubMedGoogle Scholar
  33. Wolfe BE, Tulloss RE, Pringle A: The irreversible loss of a decomposition pathway marks the single origin of an ectomycorrhizal symbiosis. PLoS ONE. 2012, 7 (7): e39597-PubMedPubMed CentralGoogle Scholar
  34. Oda T, Tanaka C, Tsuda M: Molecular phylogeny and biogeography of the widely distributed Amanita species, A. muscaria and A. pantherina. Mycol Res. 2004, 108: 885-896.PubMedGoogle Scholar
  35. Doyle JJ, Doyle JL: A rapid DNA isolation procedure for small quantities of fresh leaf tissue. Phytochemical Bulletin. 1987, 19: 11-15.Google Scholar
  36. White TJ, Bruns T, Lee S, Taylor J: Amplification and direct sequencing of fungal ribosomal RNA genes for phylogenetics. PCR protocols: a guide to methods and applications. Edited by: Innis MA, Gelfand DH, Sninsky JJ, White TJ. 1990, California: Academic Press, 315-322.Google Scholar
  37. Gardes M, Bruns TD: ITS primers with enhanced specificity for Basidiomycetes-applications to the identification of mycorrhizae and rusts. Mol Ecol. 1993, 2 (2): 113-118.PubMedGoogle Scholar
  38. Vilgalys R, Hester M: Rapid genetic identification and mapping of enzymatically amplified ribosomal DNA from several Cryptococcus species. J Bacteriol. 1990, 172 (8): 4238-4246.PubMedPubMed CentralGoogle Scholar
  39. Rehner SA, Buckley E: A Beauveria phylogeny inferred from nuclear ITS and EF1-α sequences: evidence for cryptic diversification and links to Cordyceps teleomorphs. Mycologia. 2005, 97 (1): 84-98.PubMedGoogle Scholar
  40. Matheny PB: Improving phylogenetic inference of mushrooms with RPB1 and RPB2 nucleotide sequences (Inocybe; Agaricales). Mol Phylogenet Evol. 2005, 35 (1): 1-20.PubMedGoogle Scholar
  41. Rozen S, Skaletsky H: Primer3 on the WWW for general users and for biologist programmers. Bioinformatics Methods and Protocols: Methods in Molecular Biology. Edited by: Krawetz S, Misener S. 2000, New Jersey: Humana Press, 365-386.Google Scholar
  42. Edgar RC: MUSCLE: multiple sequence alignment with high accuracy and high throughput. Nucleic Acids Res. 2004, 32 (5): 1792-1797.PubMedPubMed CentralGoogle Scholar
  43. Hall TA: BioEdit: a user-friendly biological sequence alignment editor and analysis program for Windows 95/98/NT. Nucleic Acids Symp Ser. 1999, 41: 95-98.Google Scholar
  44. Smith SA, Dunn CW: Phyutility: a phyloinformatics tool for trees, alignments and molecular data. Bioinformatics. 2008, 24 (5): 715-716.PubMedGoogle Scholar
  45. Nilsson RH, Kristiansson E, Ryberg M, Larsson K-H: Approaching the taxonomic affiliation of unidentified sequences in public databases–an example from the mycorrhizal fungi. BMC Bioinformatics. 2005, 6: 178-PubMedPubMed CentralGoogle Scholar
  46. Katoh K, Kuma K, Toh H, Miyata T: MAFFT version 5: improvement in accuracy of multiple sequence alignment. Nucleic Acids Res. 2005, 33 (2): 511-518.PubMedPubMed CentralGoogle Scholar
  47. Seibel PN, Muller T, Dandekar T, Schultz J, Wolf M: 4SALE–A tool for synchronous RNA sequence and secondary structure alignment and editing. BMC Bioinformatics. 2006, 7: 498-PubMedPubMed CentralGoogle Scholar
  48. Stamatakis A: RAxML-VI-HPC: Maximum likelihood-based phylogenetic analyses with thousands of taxa and mixed models. Bioinformatics. 2006, 22 (21): 2688-2690.PubMedGoogle Scholar
  49. Swofford DL: PAUP*. Phylogenetic analysis using parsimony (* and other methods), Version 4.0b10. 2003, Sunderland, Massachusetts, USA: Sinauer AssociatesGoogle Scholar
  50. Ronquist F, Huelsenbeck JP: MrBayes 3: Bayesian phylogenetic inference under mixed models. Bioinformatics. 2003, 19 (12): 1572-1574.PubMedGoogle Scholar
  51. Nylander JAA: MrModeltest v2.2 Program distributed by the author. 2004, In: Evolutionary Biology Centre, Uppsala UniversityGoogle Scholar
  52. Felsenstein J: Confidence limits on phylogenies: an approach using the bootstrap. Evolution. 1985, 39 (4): 783-791.Google Scholar
  53. Chen ZH, Zhang ZG, Liang SP, Zhan XY, Li DP, Zhang P: Separation and HPLC determination of several toxic peptides from four Amanita. Mycosystema. 1999, 18 (4): 415-419.Google Scholar
  54. Taylor JW, Jacobson DJ, Kroken S, Kasuga T, Geiser DM, Hibbett DS, Fisher MC: Phylogenetic species recognition and species concepts in fungi. Fungal Genet Biol. 2000, 31 (1): 21-32.PubMedGoogle Scholar
  55. Dettman JR, Jacobson DJ, Taylor JW: A multilocus genealogical approach to phylogenetic species recognition in the model eukaryote Neurospora. Evolution. 2003, 57 (12): 2703-2720.PubMedGoogle Scholar
  56. Du XH, Zhao Q, O’Donnell K, Rooney AP, Yang ZL: Multigene molecular phylogenetics reveals true morels (Morchella) are especially species-rich in China. Fungal Genet Biol. 2012, 49 (6): 455-469.PubMedGoogle Scholar
  57. Giraud T, Refrégier G, Le Gac M, De Vienne DM, Hood ME: Speciation in fungi. Fungal Genet Biol. 2008, 45 (6): 791-802.PubMedGoogle Scholar
  58. Bonito GM, Gryganskyi AP, Trappe JM, Vilgalys R: A global meta-analysis of Tuber ITS rDNA sequences: species diversity, host associations and long-distance dispersal. Mol Ecol. 2010, 19 (22): 4994-5008.PubMedGoogle Scholar
  59. Feng B, Xu JP, Wu G, Zeng NK, Li YC, Tolgor B, Kost GW, Yang ZL: DNA sequence analyses reveal abundant diversity, endemism and evidence for Asian origin of the porcini mushrooms. PLoS ONE. 2012, 7 (5): e37567-PubMedPubMed CentralGoogle Scholar
  60. Hughes KW, Petersen RH, Lickey EB: Using heterozygosity to estimate a percentage DNA sequence similarity for environmental species’ delimitation across basidiomycete fungi. New Phytol. 2009, 182 (4): 795-798.PubMedGoogle Scholar
  61. Tamura K, Dudley J, Nei M, Kumar S: MEGA4: Molecular evolutionary genetics analysis (MEGA) software version 4.0. Mol Biol Evol. 2007, 24 (8): 1596-1599.PubMedGoogle Scholar
  62. Berbee ML, Taylor JW: Dating the molecular clock in fungi–how close are we?. Fungal Biology Reviews. 2010, 24 (1–2): 1-16.Google Scholar
  63. Smith SY, Currah RS, Stockey RA: Cretaceous and Eocene poroid hymenophores from Vancouver Island, British Columbia. Mycologia. 2004, 96 (1): 180-186.PubMedGoogle Scholar
  64. Hibbett DS, Matheny PB: The relative ages of ectomycorrhizal mushrooms and their plant hosts estimated using Bayesian relaxed molecular clock analyses. BMC Biol. 2009, 7: 13-PubMedPubMed CentralGoogle Scholar
  65. James TY, Kauff F, Schoch CL, Matheny PB, Hofstetter V, Cox CJ, Celio G, Gueidan C, Fraker E, Miadlikowska J, Lumbsch HT, Rauhut A, Reeb V, Arnold AE, Amtoft A, Stajich JE, Hosaka K, Sung GH, Johnson D, O’Rourke B, Crockett M, Binder M, Curtis JM, Slot JC, Wang Z, Wilson AW, Schussler A, Longcore JE, O’Donnell K, Mozley-Standridge S, et al: Reconstructing the early evolution of Fungi using a six-gene phylogeny. Nature. 2006, 443 (7113): 818-822.PubMedGoogle Scholar
  66. The AFToL database. http://wasabi.lutzonilab.net/pub/alignments/download_alignments,
  67. Drummond AJ, Rambaut A: BEAST: Bayesian evolutionary analysis by sampling trees. BMC Evol Biol. 2007, 7: 214-PubMedPubMed CentralGoogle Scholar
  68. Yu Y, Harris AJ, He XJ: RASP (Reconstruct Ancestral State in Phylogenies) 2.1 beta. Available at http://mnh.scu.edu.cn/soft/blog/RASP/
  69. Ree RH, Smith SA: Maximum likelihood inference of geographic range evolution by dispersal, local extinction, and cladogenesis. Syst Biol. 2008, 57 (1): 4-14.PubMedGoogle Scholar
  70. Lin CP, Huang JP, Wu CS, Hsu CY, Chaw SM: Comparative chloroplast genomics reveals the evolution of Pinaceae genera and subfamilies. Genome Biol Evol. 2010, 2: 504-517.PubMedPubMed CentralGoogle Scholar
  71. Manos PS, Stanford AM: The historical biogeography of Fagaceae: tracking the tertiary history of temperate and subtropical forests of the Northern Hemisphere. Int J Plant Sci. 2001, 162 (S6): S77-S93.Google Scholar
  72. Maury-Lechon G, Curtet L: Biogeography and evolutionary systematics of Dipterocarpaceae. A Review of Dipterocarps Taxonomy, ecology and silviculture. Edited by: Appanah S, Turnbull JM. 1998, Bogor: CIFOR, 5-44.Google Scholar
  73. Christophel DC: Occurrence of Casuarina megafossil in the Tertiary of south-eastern Australia. Aust J Bot. 1980, 28 (2): 249-259.Google Scholar
  74. Zachos J, Pagani M, Sloan L, Thomas E, Billups K: Trends, rhythms, and aberrations in global climate 65 Ma to present. Science. 2001, 292 (5517): 686-693.PubMedGoogle Scholar
  75. Hongo T: The amanitas of Japan. Acta Phytotaxonomy Geobotany. 1982, 33: 116-126.Google Scholar
  76. Hibbett DS, Pine EM, Langer E, Langer G, Donoghue MJ: Evolution of gilled mushrooms and puffballs inferred from ribosomal DNA sequences. Proc Natl Acad Sci U S A. 1997, 94 (22): 12002-12006.PubMedPubMed CentralGoogle Scholar
  77. Garnica S, Weiß M, Oertel B, Ammirati J, Oberwinkler F: Phylogenetic relationships in Cortinarius, section Calochroi, inferred from nuclear DNA sequences. BMC Evol Biol. 2009, 9: 1-PubMedPubMed CentralGoogle Scholar
  78. Imai S: Studies on the Agaricaceae of Japan I. Volvate agarics in Hokkaido. The Botanical magazine, Tokyo. 1933, 47: 423-432.Google Scholar
  79. Tulloss RE, Bhatt R, Stephenson S, Kumar A: Studies on Amanita (Amanitaceae) in West Virginia and adjacent areas of the Mid-Appalachians, Preliminary results. Mycotaxon. 1995, 56: 243-293.Google Scholar
  80. Dunstan WA, Dell B, Malajczuk N: The diversity of ectomycorrhizal fungi associated with introduced Pinus spp. in the southern hemisphere, with particular reference to western Australia. Mycorrhiza. 1998, 8 (2): 71-79.Google Scholar
  81. Tai FL: Sylloge fungorum sinicorum. 1979, Beijing: Science PressGoogle Scholar
  82. Mueller GM, Wu QX, Huang YQ, Guo SY, Aldana-Gomez R, Vilgalys R: Assessing biogeographic relationships between North American and Chinese macrofungi. J Biogeogr. 2001, 28 (2): 271-281.Google Scholar
  83. Berbee ML, Taylor JW: Detecting morphological convergence in true fungi, using 18S rRNA gene sequence data. Biosystems. 1992, 28 (1): 117-125.PubMedGoogle Scholar
  84. Percudani R, Trevisi A, Zambonelli A, Ottonello S: Molecular phylogeny of truffles (Pezizales: Terfeziaceae, Tuberaceae) derived from nuclear rDNA sequence analysis. Mol Phylogenet Evol. 1999, 13 (1): 169-180.PubMedGoogle Scholar
  85. Eicker A, Van Greuning J, Reid D: Amanita reidii: a new species from South Africa. Mycotaxon. 1993, 47: 433-437.Google Scholar
  86. Hallen HE, Luo H, Scott-Craig JS, Walton JD: Gene family encoding the major toxins of lethal Amanita mushrooms. Proc Natl Acad Sci U S A. 2007, 104 (48): 19097-19101.PubMedPubMed CentralGoogle Scholar
  87. Taylor JW, Berbee ML: Dating divergences in the Fungal Tree of Life: review and new analyses. Mycologia. 2006, 98 (6): 838-849.PubMedGoogle Scholar
  88. Hosaka K, Castellano MA, Spatafora JW: Biogeography of Hysterangiales (Phallomycetidae, Basidiomycota). Mycol Res. 2008, 112 (4): 448-462.PubMedGoogle Scholar
  89. Matheny PB, Aime MC, Bougher NL, Buyck B, Desjardin DE, Horak E, Kropp BR, Lodge DJ, Soytong K, Trappe JM: Out of the Palaeotropics? Historical biogeography and diversification of the cosmopolitan ectomycorrhizal mushroom family Inocybaceae. J Biogeogr. 2009, 36 (4): 577-592.Google Scholar
  90. Dentinger B, Ammirati JF, Both EE, Desjardin DE, Halling RE, Henkel TW, Moreau P-A, Nagasawa E, Soytong K, Taylor AF: Molecular phylogenetics of porcini mushrooms ( Boletus section Boletus). Mol Phylogenet Evol. 2010, 57 (3): 1276-1292.PubMedGoogle Scholar
  91. Gilbert EJ: Notules sur les Amanites (supplément): commentaires et conjectures sur quelques Amanites mal connues. 1941, Paris: Édition privéeGoogle Scholar
  92. Beeli M: Flore inconographique des champignons du Congo, Fasc. I. 1935, Bruxelles: Office de PublicitéGoogle Scholar
  93. Kershaw P, Wagstaff B: The southern conifer family Araucariaceae: history, status, and value for paleoenvironmental reconstruction. Annu Rev Ecol Syst. 2001, 32: 397-414.Google Scholar
  94. McLoughlin S: The breakup history of Gondwana and its impact on pre-Cenozoic floristic provincialism. Aust J Bot. 2001, 49 (3): 271-300.Google Scholar
  95. Moyersoen B: Pakaraimaea dipterocarpacea is ectomycorrhizal, indicating an ancient Gondwanaland origin for the ectomycorrhizal habit in Dipterocarpaceae. New Phytol. 2006, 172 (4): 753-762.PubMedGoogle Scholar
  96. Potts BM, Pederick LA: Morphology, phylogeny, origin, distribution and genetic diversity of eucalypts. 2000, Melbourne: CSIRO PublishingGoogle Scholar
  97. Swenson U, Hill RS, McLoughlin S: Biogeography of Nothofagus supports the sequence of Gondwana break-up. Taxon. 2001, 50 (4): 1025-1041.Google Scholar
  98. Hooghiemstra H, Cleef AM, Churchill SP, Balslev H, Forero E, Luteyn JL: Pleistocene climatic change and environmental and generic dynamics in the North Andean montane forest and páramo. Biodiversity and conservation of Neotropical montane forests Proceedings of a symposium, New York Botanical Garden, 21–26 June 1993. Edited by: Churchill SP, Balslev H, Forero E, Luteyn JL. 1995, New York: Botanical Garden, 35-49.Google Scholar
  99. Wolfe JA: A paleobotanical interpretation of Tertiary climates in the Northern Hemisphere. Am Sci. 1978, 66 (6): 694-703.Google Scholar
  100. Geml J, Laursen GA, O’Neill K, Nusbaum HC, Taylor DL: Beringian origins and cryptic speciation events in the fly agaric (Amanita muscaria). Mol Ecol. 2006, 15 (1): 225-239.PubMedGoogle Scholar
  101. Hall R: Cenozoic geological and plate tectonic evolution of SE Asia and the SW Pacific: computer-based reconstructions, model and animations. J Asian Earth Sci. 2002, 20 (4): 353-431.Google Scholar
  102. McElhinny MW, Embleton BJJ: Australian palaeomagnetism and the Phanerozoic plate tectonics of eastern Gondwanaland. Tectonophysics. 1974, 22 (1): 1-29.Google Scholar
  103. Miller KG, Fairbanks RG, Mountain GS: Tertiary oxygen isotope synthesis, sea level history, and continental margin erosion. Paleoceanography. 1987, 2 (1): 1-19.Google Scholar
  104. Donoghue MJ, Smith SA: Patterns in the assembly of temperate forests around the Northern Hemisphere. Philos Trans R Soc Lond Ser B Biol Sci. 2004, 359 (1450): 1633-1644.Google Scholar
  105. Wolfe JA: Relations of environmental change to angiosperm evolution during the late Cretaceous and Tertiary. Evolution and diversification of land plants. Edited by: Iwatsuki K, Raven PH. 1997, Tokyo: Springer-Verlag, 269-290.Google Scholar
  106. Cai Q, Tulloss RE, Tang LP, Tolgor B, Zhang P, Chen ZH, Yang ZL: Multi-locus phylogeny of lethal amanitas: Implications for species diversity and historical biogeography. Dryad Digital Repository. doi:10.5061/dryad.8db34

Copyright

© Cai et al.; licensee BioMed Central Ltd. 2014

This article is published under license to BioMed Central Ltd. This is an Open Access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly credited. The Creative Commons Public Domain Dedication waiver (http://creativecommons.org/publicdomain/zero/1.0/) applies to the data made available in this article, unless otherwise stated.