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Collolechia revisited and a re-assessment of ascus characteristics in Placynthiaceae (Peltigerales, Ascomycota)

Published online by Cambridge University Press:  14 January 2016

Alica KOŠUTHOVÁ
Affiliation:
Department of Cryptogams, Institute of Botany, Slovak Academy of Sciences, Dúbravská cesta 9, Bratislava, 845 23, Slovakia Department of Botany and Zoology, Faculty of Science, Masaryk University, Kotlářská 2, Brno, 61137, Czech Republic
Samantha FERNÁNDEZ-BRIME
Affiliation:
(corresponding author): Department of Botany, Swedish Museum of Natural History, P.O. Box 50007, SE-104 05 Stockholm, Sweden. Email: mats.wedin@nrm.se
Martin WESTBERG
Affiliation:
(corresponding author): Department of Botany, Swedish Museum of Natural History, P.O. Box 50007, SE-104 05 Stockholm, Sweden. Email: mats.wedin@nrm.se
Mats WEDIN
Affiliation:
(corresponding author): Department of Botany, Swedish Museum of Natural History, P.O. Box 50007, SE-104 05 Stockholm, Sweden. Email: mats.wedin@nrm.se
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Abstract

We investigated the phylogenetic relationships in the cyanolichen family Placynthiaceae to test the current generic delimitations, where the monotypic Collolechia is currently accepted as distinct, based on differences in ascospores, ascus apex characteristics and the leprose thallus. Bayesian and maximum likelihood phylogenetic analyses of two sequence marker datasets confirmed that Collolechia caesia is nested within Placynthium, and should be called Placynthium caesium (Fr.) Jatta. We reassessed the spore and ascus characteristics and showed that Placynthium caesium falls well within the variation in Placynthium and is thus yet another example of a species that differs from close relatives by its crustose-leprose thallus structure.

Type
Articles
Copyright
© British Lichen Society, 2016 

Introduction

Lichenization is one of the most important life strategies among fungi in the Ascomycota, but only a comparatively small number of ascomycete lichen fungi (c. 1700 species; Rikkinen Reference Rikkinen2002) utilize cyanobacteria as photobionts. These lichens may still have a substantial impact on the ecosystems they inhabit by contributing fixed atmospheric nitrogen (Cornelissen et al. Reference Cornelissen, Lang, Soudzilovskaia and During2007; Nash Reference Nash2008; Campbell et al. Reference Campbell, Fredeen and Prescott2010), and many cyanobacterial lichens are sensitive to habitat disturbance such as changes in forest age, structure and composition (e.g. Price & Hochachka Reference Price and Hochachka2001; Scheidegger et al. Reference Scheidegger, Groner, Keller and Stofer2002; Hedenås & Ericson Reference Hedenås and Ericson2008; Fedrowitz et al. Reference Fedrowitz, Kuusinen and Snäll2012) and pollution (e.g. Goward & Arsenault Reference Goward and Arsenault2000; Jovan Reference Jovan2008). The largest group of lichenized Ascomycota featuring cyanobacteria as the main or sole photobiont is Peltigerales in the Lecanoromycetes (Wiklund & Wedin Reference Wiklund and Wedin2003; Lumbsch et al. Reference Lumbsch, Schmitt, Palice, Wiklund, Ekman and Wedin2004; Wedin et al. Reference Wedin, Wiklund, Crewe, Döring, Ekman, Nyberg, Schmitt and Lumbsch2005; Schoch et al. Reference Schoch, Sung, López-Giráldez, Townsend, Miądlikowska, Hofstetter, Robbertse, Matheny, Kauff and Wang2009; Miądlikowska et al. Reference Miądlikowska, Kauff, Högnabba, Oliver, Molnár, Fraker, Gaya, Hafellner, Hofstetter and Gueidan2014; Rikkinen Reference Rikkinen2015). Peltigerales are a comparatively recent group of fungi, the ancestor of which diverged from its Lecidealean sister-group in the early Jurassic, and the group diversified towards the end of the Jurassic-early Cretaceous (Prieto & Wedin Reference Prieto and Wedin2013). Peltigerales currently includes ten families (Wedin et al. Reference Wedin, Jørgensen and Wiklund2007, Reference Wedin, Jørgensen and Ekman2011; Spribille & Muggia Reference Spribille and Muggia2013), one of which is Placynthiaceae.

Placynthiaceae comprises comparatively small, flat, rosette-forming, crustose to squamulose-lobate species where the thalli often produce a prothallus (Czeika & Czeika Reference Czeika and Czeika2007; Jørgensen Reference Jørgensen2007). After the recent reclassification of Vestergrenopsis into the newly described family Koerberiaceae (Spribille & Muggia Reference Spribille and Muggia2013), Placynthiaceae currently includes two genera: Placynthium with c. 30 species worldwide, and the monotypic Collolechia. Placynthium and Collolechia differ in thallus structure (squamulose vs. leprose-crustose thallus), ascus apex structure (apical caps/sheets vs. apical ring/tube) and spore shape and septation (ellipsoid, 1–3 septate in Placynthium vs. elongate, fusiform-acicular, pluriseptate in Collolechia; Jørgensen Reference Jørgensen2005, Reference Jørgensen2007). These observations were made on Placynthium nigrum (the type for Placynthium), and Collolechia caesia, respectively (Jørgensen Reference Jørgensen2005). Several authors, however, have observed tube structures in the asci of Placynthium, including in P. nigrum (Keuck Reference Keuck1977; Rambold & Triebel Reference Rambold and Triebel1992; Gilbert & James Reference Gilbert and James2009; Øvstedal et al. Reference Øvstedal, Tønsberg and Elvebakk2009; Wirth et al. Reference Wirth, Hauck and Schultz2013). The presence of a tube in Placynthiaceae was pointed out as supporting the sister-group relationship with Collemataceae by Wiklund & Wedin (Reference Wiklund and Wedin2003). Several authors have also noted large variation within the group, including cap- or sheet-like structures, and tube- or ring-structures (Czeika & Czeika Reference Czeika and Czeika2007; Spribille & Muggia Reference Spribille and Muggia2013).

In Scandinavia, Collolechia caesia was for many years confused with Placynthium garovaglioi (Fig. 1). The distinction between the species was clarified by Jørgensen (Reference Jørgensen2005) who showed that in Scandinavia C. caesia was known only from a couple of localities on the Baltic island of Gotland, where it had not been collected since 1942. These are northern outposts for a species with an otherwise mainly southern warm-temperate distribution. True Placynthium garovaglioi is not known from Sweden. In 2014, we visited some of the known Swedish localities to assess the status of C. caesia, and collected fresh material for DNA-based studies. In this study, we investigated the phylogenetic relationships of Collolechia to test the current generic delimitations in Placynthiaceae. We reinvestigated herbarium material of Collolechia and P. garovaglioi, and studied the spore and ascus apex characteristics in these species and other selected Placynthiaceae in order to assess variation and potential natural groupings.

Fig. 1 Morphology of Placynthium garovaglioi and “Collolechia” caesia. A & B, thallus of Placynthium garovaglioi with distinct marginal lobes; C & D, “Collolechia” caesia with a leprose thallus lacking marginal lobes. Specimen origin. A, Palice 16564 (SAV); B, Palice 16954 (S); C, Košuthová GOT2 (S); D, Cleve s. n. (S). Scales=1 mm. In colour online.

Material and Methods

Taxon sampling and morphological analysis

Material utilized for the phylogenetic study was mainly freshly collected specimens but was also supplemented with herbarium material from S, SAV and UPS and the personal herbaria of Z. Palice (hb. Palice) and J. Malíček (hb. Malíček). Origin of the material is summarized in Table 1. Asci were studied under oil-immersion, in hand-cut sections of apothecia which were pretreated with and squashed in KOH and subsequently stained with Lugol’s solution.

Table 1 Specimen information and European Nucleotide Archive or GenBank accession numbers for the specimens included in the phylogenetic inference depicted in Figure 2. Sequences represented in bold font were generated in this study

DNA extraction, amplification and sequencing

Total DNA was extracted from fresh material and herbarium specimens, and isolated using the DNeasy Plant Mini Kit (Qiagen, Germany) following the manufacturer’s instructions. We amplified ≈0·6 kb of the small subunit of the mitochondrial rDNA (mtSSU) and ≈1·2 kb of nuclear mini-chromosome maintenance complex component 7 (Mcm7). Primer combinations used in this study were: mrSSU1 and mrSSU3R (Zoller et al. Reference Zoller, Scheidegger and Sperisen1999) for the mtSSU; and MCM7-709for and MCM7-1348rev for the Mcm7 (Schmitt et al. Reference Schmitt, Crespo, Divakar, Fankhauser, Herman-Sackett, Kalb, Nelsen, Nelson, Rivas-Plata and Shimp2009). Symmetric PCR amplifications were performed using IllustraTM Hot Start PCR beads, according to the manufacturer’s instructions. PCR reactions for mtSSU were performed using one of two cycling conditions, depending on what worked with particular samples. The first was 95°C for 5 min followed by 35–40 cycles (95°C for 1 min, 54°C for 50 s, and 72°C for 1 min), with a final extension of 72°C for 8 min. The second was as follows: 95°C for 5 min followed by 4 cycles (95°C for 1 min, 58°C for 1 min, and 72°C for 1 min), 4 cycles (95°C for 1 min, 56°C for 1 min, and 72°C for 1 min) and 34 cycles (95°C for 1 min, 54°C for 1 min, and 72°C for 1 min) with a final extension of 72°C for 8 min. For the amplification of the Mcm7, the following cycling conditions were used: 95°C for 5 min followed by 4 cycles (95°C for 1 min, 60°C for 1 min, and 72°C for 1 min), followed by 36 cycles (95°C for 1 min, 58°C for 1 min, and 72°C for 1 min), with a final extension of 72°C for 8 min. After examination by gel electrophoresis, amplification products were purified using ExoSAP-IT (USB Corp., USA). Sequencing of both strands was performed with the Big Dye Terminator technology kit v3.1 (ABI PRISM, USA) using the PCR primers, and the additional internal PCR primers mrSSU2 and mrSSU2R (Zoller et al. Reference Zoller, Scheidegger and Sperisen1999).

Sequence alignments and analyses

Sequence fragments were assembled and edited using Sequencer 4.9 (Gene Codes Corp., Ann Arbor, MI) and Geneious version R8 (http://www.geneious.com, Kearse et al. Reference Kearse, Moir, Wilson, Stones-Havas, Cheung, Sturrock, Buxton, Cooper, Markowitz and Duran2012), and were subjected to BLAST searches (Zhang et al. Reference Zhang, Schwartz, Wagner and Miller2000) for a first identity verification. Sequences were aligned manually in Aliview 1.09 (Larsson Reference Larsson2014). Introns and ambiguously aligned regions (sensu Lutzoni et al. Reference Lutzoni, Wagner, Reeb and Zoller2000) were delimited manually and excluded from the analyses. We analyzed the mtSSU and Mcm7 datasets separately using maximum likelihood (ML) as the optimization criterion, with GARLI v.2.0 (Zwickl Reference Zwickl2006). Models of molecular evolution were estimated for each locus using the Akaike information criterion correction for finite sample sizes (AICc; Akaike Reference Akaike1973) implemented in jModeltest v.0.1.1 (Guindon & Gascuel Reference Guindon and Gascuel2003; Posada Reference Posada2008). The models selected were TVM+I+G (Posada Reference Posada2003) for mtSSU, TrNef+I (Tamura & Nei Reference Tamura and Nei1993) for Mcm7 first codon position, F81+I (Felsenstein Reference Felsenstein1981) for Mcm7 second codon position, and K80+G (Kimura Reference Kimura1980) for Mcm7 third codon position. We performed ML searches setting the program to stop after 10 000 generations if no improvement of the Ln likelihood ≤0·01 was detected, with a maximum of 500 000. Topological incongruence between the two datasets was examined using the consensus trees from 1000 replicates of ML bootstrapping under the same models, on each locus separately (Mason-Gamer & Kellogg Reference Mason-Gamer and Kellogg1996). Because no incongruence was detected using a 70% reciprocal threshold, the two alignments were concatenated and one specimen (Placynthium garovaglioi AL148) for which we have only the mtSSU sequence included. The concatenated alignment was deposited in TreeBASE (accession number S18034).

Phylogenetic relationships and confidence were inferred on the combined dataset using ML and Bayesian inference (B). For the ML analysis, the same settings were used as in the individual gene analyses using GARLI v.2.0, with the same models specified for each partition, for both ML search and ML bootstrap analyses. The Bayesian inference of the phylogeny was carried out by a Metropolis coupled Markov chain Monte Carlo (MCMCMC), as implemented in MrBayes 3.2.3 (Ronquist et al. Reference Ronquist, Teslenko, van der Mark, Ayres, Darling, Höhna, Larget, Liu, Suchard and Huelsenbeck2012). The substitution models estimated using the AICc implemented in jModeltest v.0.1.1 were GTR+I+G (Tavaré Reference Tavaré1986) for mtSSU, SYM+I (Zharkikh Reference Zharkikh1994) for Mcm7 first codon position (MCM7_c1), F81+I for Mcm7 second codon position (MCM7_c2), and K80+G for Mcm7 third codon position (MCM7_c3). The prior distributions settings were: all topologies equally probable and branch lengths followed an unconstrained gamma distribution (1, 0·1, 1, 1); the state frequencies followed a (1, 1, 1, 1) Dirichlet distribution for mtSSU and MCM7_c2 and were equally probable for MCM7_c1 and MCM7_c3; the rate matrix for mtSSU and MCM7_c1 followed a (1, 1, 1, 1, 1, 1) Dirichlet distribution, for the transition-transversion rates for MCM7_c3 a beta (1, 1) distribution and was equally probable for MCM7_c2; when applicable, proportion of invariable sites followed a uniform distribution (0, 1). Two parallel runs with four independent chains each were conducted for 20 million generations, with trees sampled at intervals of 500 generations. A burn-in sample of the first 10 000 trees was discarded for each run and the remaining trees were used to estimate branch lengths and posterior probabilities (PP). Convergence was monitored with the diagnostic tool provided by MrBayes 3.2.3., including the average standard deviation of splits between runs. All analyses were run in the CIPRES Science Gateway (Miller et al. Reference Miller, Pfeiffer and Schwartz2010).

Hypothesis testing

We specified two hypotheses to be tested. One equals the classification where Placynthium and Collolechia are two separate accepted genera (H0: Placynthium monophyletic excluding Collolechia). The alternative hypothesis (H1) corresponds to the case where Collolechia is nested within a paraphyletic Placynthium. In order to contrast the hypotheses, we calculated Bayes factors by comparing the ratio of the marginal likelihoods of each hypothesis. One common approach is to estimate the marginal likelihoods from constrained and unconstrained Bayesian analyses (e.g., Nelsen & Gargas Reference Nelsen and Gargas2009; Otálora et al. Reference Otálora, Jørgensen and Wedin2014; Westberg et al. Reference Westberg, Millanes, Knudsen and Wedin2015). Here, however, we followed the novel approach proposed in Bergsten et al. (Reference Bergsten, Nilsson and Ronquist2013), in which the marginal likelihoods are calculated from two alternative topologies after the specification of equally informed priors (constraints). Interpretation of Bayes factor values followed Kass & Raftery (Reference Kass and Raftery1995). We calculated the marginal likelihoods using the stepping-stone sampling algorithm implemented in MrBayes 3.2.3., which has proved to be a more accurate estimator of the model likelihoods than the harmonic mean estimator calculated in the MCMC output (Ronquist et al. Reference Ronquist, Huelsenbeck and Teslenko2011; Bergsten et al. Reference Bergsten, Nilsson and Ronquist2013). We ran the stepping-stone sampling taking 50 steps for a total of 10 200 000 generations, sampling every 100th generation, and discarding the first 200 000 generations as burn-in. The contribution to the marginal likelihood in each step was estimated from a sample size of 2000.

Results

New sequences from two loci were produced for the 19 specimens, except for Placynthium garovaglioi AL148 for which only mtSSU was obtained. These were aligned with 10 sequences from five taxa representing several families of the order Peltigerales (i.e., Collemataceae, Lobariaceae and Pannariaceae), retrieved from GenBank. Lobaria pulmonaria was selected as outgroup to root the tree. Voucher information for newly produced sequences and accession numbers are listed in Table 1. The matrix of aligned sequences included 1588 sites (635 for Mcm7 and 953 for mtSSU), which was reduced to 1311 sites (of which 297 were parsimony-informative) after the exclusion of the flanking primer regions, introns, and ambiguously aligned regions.

The most likely tree from ML (Fig. 2) with ln likelihood=−6126·8160 recovered a topology with 22 resolved internodes, of which 17 were significantly supported (i.e., ML-BS≥70%). In the Bayesian analysis, the value of the standard deviation of splits between runs was 0·000632, below the threshold of 0·01 established for convergence (Ronquist et al. Reference Ronquist, Huelsenbeck and Teslenko2011). This was further confirmed as the PSRF of all parameters and bipartitions was close to 1·0. The 50% majority-rule consensus trees of the 60 000 trees showed 21 resolved internodes, of which 14 were significantly supported (PP≥0·95). As the topologies had no significant conflicts, only the ML tree is shown in Fig. 2, with the support indicated for both analyses. In both phylogenetic analyses, Collolechia was recovered as monophyletic with strong support (BS=95%, PP=1·00), and nested within Placynthium (BS=99%, PP=1·00).

Fig. 2 Most likely tree (ln likelihood=−6126·8160) based on a combined matrix of mtSSU and Mcm7 showing Collolechia nested within Placynthium. Internodes with bootstrap values ≥70% and posterior probabilities ≥0·95 are represented by thick lines. Numbers above other internodes indicate ML bootstrap support (only when values ≥50%) followed by posterior probabilities (only when values ≥0·5%) for the Bayesian analysis.

The two independent runs for each stepping-stone MCMC sampling conducted to calculate the marginal likelihood of each alternative topology reached convergence, as shown by the values of split frequencies <0·01. The estimation of the marginal log likelihood was −6123·60 for the hypothesis in which Placynthium was constrained to be monophyletic and −6114·30 for the alternative hypothesis in which Collolechia was nested within Placynthium. The Bayes factor value was 18·6. We compared this value to the reference table provided by Kass & Raftery (Reference Kass and Raftery1995, p.777) that states 2×loge (BF10) values >10 as strong evidence against H0.

Discussion

Here, we show that Collolechia is clearly nested within Placynthium (Fig. 2), which is composed of two monophyletic subgroups, one of which contains both Collolechia and the type species of Placynthium, P. nigrum, as well as P. garovaglioi, P. hungaricum, and the potentially undescribed Placynthium sp. A. As a consequence, Collolechia caesia should be classified in Placynthium. The nomenclature of “Collolechiacaesia is complicated, but fortunately Jørgensen (Reference Jørgensen2005) has clarified the situation and the reader is referred to this work for details regarding author citation, typification, and synonymy. When treated in Placynthium, the correct name for this species is Placynthium caesium (Fr.) Jatta.

Placynthium caesium (Fr.) Jatta

Syll. Lich. Ital.: 38 (1900).—Lecidea contigua var. caesia Fr., Lich. Eur.: 302 (1831).—Collolechia caesia (Fr.) A. Massal. Geneac. Lich.: 7 (1854); type: (France) Gallia merid., Dufour (UPS!— lectotypus, designated by Jørgensen Reference Jørgensen2005).

This re-synonymization contradicts the suggestion by Jørgensen (Reference Jørgensen2005), who justified treating the two genera as distinct based on their different ascus, spore and thallus characteristics. The ascus characters are difficult to study in many Placynthium species; the asci are small and the structures indistinct, and the variation between ascus developmental stages within one hymenium is frequently quite confusing. We can still confirm that several Placynthium species do have a tube structure in their asci, a trait considered characteristic of “Collolechia” (Jørgensen Reference Jørgensen2005). Placynthium caesium, P. garovaglioi, P. hungaricum, Placynthium sp. A, and P. nigrum (the type of Placynthium) have a distinct amyloid tube structure in the ascus apex (Fig. 3). Spribille & Muggia (Reference Spribille and Muggia2013) provided a very useful overview of the ascus structures in Peltigerales, and included the amyloid tube structure in the Micarea-type. A tube structure is reported in a number of Placynthium species by Keuck (Reference Keuck1977) and Czeika & Czeika (Reference Czeika and Czeika2007), and in the Collemataceae (Rambold & Triebel Reference Rambold and Triebel1992), and hence could be seen as a synapomorphy for the Placynthiaceae and Collemataceae (Wiklund & Wedin Reference Wiklund and Wedin2003). The tube in Placynthium is frequently flaring and the apical opening is often visible only from above (Fig. 3A). Our observations confirm that other Placynthium species sampled here (i.e. P. asperellum, P. flabellosum, and P. rosulans) have an amyloid cap-like structure (Fig. 3D), corresponding to the Vahliella-type of Spribille & Muggia (Reference Spribille and Muggia2013), as previously reported by Keuck (Reference Keuck1977) and Spribille & Muggia (Reference Spribille and Muggia2013). The asci in the potentially undescribed Placynthium sp. B were very difficult to interpret and we await more material to study this further. We have not found any apothecia in the samples of P. pannariellum and P. pulvinatum, both of which are very rarely fertile. Although we have only investigated a fraction of the species in Placynthium, each ascus character state is correlated with one of the two monophyletic groups identified within the genus. This, however, needs further study to confirm.

Fig. 3 Ascus characteristics in Placynthium. A–C, tube structures of the “Micarea-type”; D, cap-like structure of the “Vahliella-type”. A, Placynthium nigrum, type species of Placynthium (Nordin 5860, UPS); B, Placynthium (“Collolechia”) caesium (Košuthová GOT2, S); C, Placynthium garovaglioi (Palice 16954, S); D, Placynthium flabellosum (Nordin 5666, UPS). Scales=10 µm. In colour online.

All investigated samples of Placynthium caesium and P. garovaglioi have long spores (c. 26–38×3–5 µm in P. caesium and c. 24–35×3·5–6·5 µm in P. garovaglioi) with 3(–5) septa. The difference in spore length between the two species appears less conspicuous than proposed by Jørgensen (Reference Jørgensen2005). Long, pluriseptate spores are also produced in several other Placynthium species, and in our material, P. flabellosum, P. rosulans, and Placynthium sp. B have more than one septum. Placynthium pulvinatum which is shown here (Fig. 2) to be only distantly related to P. caesium is, according to the original description (Øvstedal et al. Reference Øvstedal, Tønsberg and Elvebakk2009), another species with long, pluriseptate spores, again suggesting that this character state is widespread in the genus. Placynthium nigrum has shorter (c. 10–12×5 µm), mainly 1(–3)-septate spores.

In conclusion, when the phylogeny suggests that the two groups are not distinct and the claimed differences in ascus and spore do not hold up to scrutiny, it appears that “Collolechiacaesia should be better treated as a Placynthium species with a crustose-leprose thallus structure. It is not unusual to find examples of closely related lichens, including cyanolichens, which differ in thallus structure. Caloplaca chrysodeta and Micarea leprosula (Tønsberg Reference Tønsberg1992) are both examples of leprose representatives in green-algal crustose genera, and the cyanolichen “Moelleropsisnebulosa was recently shown to be a leprose Fuscopannaria (Ekman et al. Reference Ekman, Wedin, Lindblom and Jørgensen2014). Also, in the spore and ascus characteristics, Placynthium caesium is not unique compared to other Placynthium species and the results of the molecular phylogeny are consistent with the morphology.

Material investigated (Placynthium caesium): France: Gallia merid., Dufour (UPS L104293, lectotype).—Germany: Bayern: ad saxa jurassica prope in valle Wiesentthal Bavariae, Arnold s. n., (S F155260, F155943); Obersdorf (Tiefenbach) in Algäu, Rehm s. n. (S F155268); Streitberg Oberfranken, 1865, (S F15524); Eichstätt, 1956, (S F155248); Muggendorf, Arnold s. n. (S F155266); 1954, (S F155259).—Italy: Massalongo s. n. (S F155283).—Slovakia: Žilinský kraj, Kraľovany, 1882, Lojka s. n. (S F155283); Muránska planina Mts, Pohronská Polhora – Bánovo, 2014, Guttová & Fačkovcová s. n. (SAV).—Sweden: Gotland: Ardre par., Tviburg (v. Torsburgen), 1943, Degelius s. n. (S F155213); 1963, Degelius s. n. (UPS L159251); Hangvar par., Ire, Floderus (UPS L130317); Irevik, 2014, Košuthová GOT2 (S); Kräklingbo par., Torsburgen, 1857, Stenhammar & Floderus s. n. (S F155224); 1857, Lönnroth s. n. (S F155216, F155217, F155221); 1864, Cleve s. n. (S F155209, UPS L137454); 1871, Molér s. n. (S F155218, S F155215, UPS L137459); 1874, Elmqvist s. n. (S F155225, UPS L137458); 1880, Blomberg s. n. (S F155223; UPS L137452); 1889, Hellborn s. n. (S F155222); 1918, Malme, Malme, Lich. Suec. Exs no 743 (S F155214, UPS L109332); 2014, Košuthová GOT1 (S); Lojsta par., Lojsta, Lönnroth s. n. (S F155210); Lojstabergen, Lönnroth s. n. (S F155934; UPS L137455); Stenkyrka par., Lickershamn, 1869, Laurer s. n. (UPS L137460); Vesterheide par., Hallbros alvar, 1917, Malme (S F155220); 1918, Malme (S F155211); Kneippbyn, 1918, Magnusson 2330 (UPS L160437); Kneippbyn, 2014, Košuthová GOT3 (S).—Switzerland: Schwyz, Pilatus, Hegetschweiler & Hegetschweiler s.n. (S F155227).—Turkey: Bucak, 2013, Yazici 1037 (S).

Material investigated for comparison (Placynthium garovaglioi): Slovakia: W. Carpathians, Dolina Siedmych, 2013, Palice 16564 (SAV); W. Carpathians, Tisovec, 2013, Palice 16954 (S).—Spain: Navarra: Estella, 1983, Santesson 30775 (UPS L160445).—Poland: Malopolskie: Tatry, Giewont 1954, Tobolewski 76 (UPS L160450).—Turkey: Burdur: 2012, Yazici 1123 (S), 1125 (S).

This study was supported by funding from the Swedish Research Council grant 621-2012-3990, to M. Wedin. M. Westberg was funded by the Swedish Taxonomy Initiative, and A. Košuthová was funded by Štefan Schwarz Fund SAS, and EEA and Norway grants no. NF-CZ07-ICP-3-104-2015. We are grateful to the staff at the Molecular Systematics Laboratory at the Swedish Museum of Natural History, in particular Bodil Cronholm, for laboratory assistance. We thank Dr Johannes Bergsten for his helpful discussions and guidance regarding the hypothesis testing analyses. The staff at S, SAV, and UPS, and Z. Palice and J. Malíček, are gratefully thanked for the loan of material, and A. Aptroot kindly gave us samples from Turkey.

References

Akaike, H. (1973) Information theory and an extension of the maximum likelihood principle. In Proceedings of the 2nd International Symposium on Information Theory (B. N. Petrov & F. Csaki, eds): 267281. Budapest: Akademiai Kiado.Google Scholar
Bergsten, J., Nilsson, A. N. & Ronquist, F. (2013) Bayesian tests of topology hypotheses with an example from diving beetles. Systematic Biology 62: 660673.Google Scholar
Campbell, J., Fredeen, A. L. & Prescott, C. E. (2010) Decomposition and nutrient release from four epiphytic lichen litters in sub-boreal spruce forests. Canadian Journal of Forest Research 40: 14731484.Google Scholar
Cornelissen, J. H. C., Lang, S. I., Soudzilovskaia, N. A. & During, H. J. (2007) Comparative cryptogam ecology: a review of bryophyte and lichen traits that drive biogeochemistry. Annals of Botany 99: 9871001.Google Scholar
Czeika, H. & Czeika, G. (2007) Placynthium in den Alpen und Karpaten sowie in benachbarten Gebieten. Herzogia 20: 2951.Google Scholar
Ekman, S., Wedin, M., Lindblom, L. & Jørgensen, P. M. (2014) Extended phylogeny and a revised generic classification of the Pannariaceae (Peltigerales, Ascomycota). Lichenologist 46: 627656.Google Scholar
Fedrowitz, K., Kuusinen, M. & Snäll, T. (2012) Metapopulation dynamics and future persistence of epiphytic cyanolichens in a European boreal forest ecosystem. Journal of Applied Ecology 49: 493502.Google Scholar
Felsenstein, J. (1981) Evolutionary trees from DNA sequences: a maximum likelihood approach. Journal of Molecular Evolution 176: 368376.Google Scholar
Gilbert, O. L. & James, P. W. (2009) Placynthium (Ach.) Gray (1821). In The Lichens of Great Britain and Ireland (C. W. Smith, A. Aptroot, B. J. Coppins, A. Fletcher, O. L. Gilbert & P. A. Wolseley, eds): 714718. London: British Lichen Society.Google Scholar
Goward, T. & Arsenault, A. (2000) Cyanolichens and conifers: implications for global conservation. Forest, Snow and Landscape Research 75: 303318.Google Scholar
Guindon, S. & Gascuel, O. (2003) A simple, fast, and accurate algorithm to estimate large phylogenies by maximum likelihood. Systematic Biology 52: 696704.Google Scholar
Hedenås, H. & Ericson, L. (2008) Species occurrences at stand level cannot be understood without considering the landscape context: cyanolichens on aspen in boreal Sweden. Biological Conservation 141: 710718.Google Scholar
Jørgensen, P. M. (2005) Placynthium garovaglioi not present in Scandinavia. Graphis Scripta 17: 37.Google Scholar
Jørgensen, P. M. (2007) Placynthiaceae . In Nordic Lichen Flora Volume 3. Cyanolichens (T. Ahti, P. M. Jørgensen, H. Kristinsson, R. Moberg, U. Søchting & G. Thor, eds): 134142. Uddevalla: Nordic Lichen Society.Google Scholar
Jovan, S. (2008) Lichen bioindication of biodiversity, air quality, and climate: baseline results from monitoring in Washington, Oregon, and California. General Technical Report PNW-GTR-737. Portland, Oregon: US Department of Agriculture, Forest Service, Pacific Northwest Research Station.Google Scholar
Kass, R. E. & Raftery, A. E. (1995) Bayes factors. Journal of the American Statistical Association 90: 773795.Google Scholar
Kearse, M., Moir, R., Wilson, A., Stones-Havas, S., Cheung, M., Sturrock, S., Buxton, S., Cooper, A., Markowitz, S., Duran, C. et al. (2012) Geneious Basic: an integrated and extendable desktop software platform for the organization and analysis of sequence data. Bioinformatics 28: 16471649.Google Scholar
Keuck, G. (1977) Ontogenetisch-systematische Studie über Erioderma. Bibliotheca Lichenologica 6: 1175.Google Scholar
Kimura, M. (1980) A simple method for estimating evolutionary rates of base substitutions through comparative studies of nucleotide sequences. Journal of Molecular Evolution 16: 111120.CrossRefGoogle ScholarPubMed
Larsson, A. (2014) AliView: a fast and lightweight alignment viewer and editor for large datasets. Bioinformatics 30: 32763278.Google Scholar
Lumbsch, H. T., Schmitt, I., Palice, Z., Wiklund, E., Ekman, S. & Wedin, M. (2004) Supraordinal phylogenetic relationships of Lecanoromycetes based on a Bayesian analysis of combined nuclear and mitochondrial sequences. Molecular Phylogenetics and Evolution 31: 822832.Google Scholar
Lutzoni, F., Wagner, P., Reeb, V. & Zoller, S. (2000) Integrating ambiguously aligned regions of DNA sequences in phylogenetic analyses without violating positional homology. Systematic Biology 49: 628651.Google Scholar
Mason-Gamer, R. J. & Kellogg, E. A. (1996) Testing for phylogenetic conflict among molecular datasets in the tribe Triticiae (Gramineae). Systematic Biology 45: 524545.CrossRefGoogle Scholar
Miądlikowska, J., Kauff, F., Högnabba, F., Oliver, J. C., Molnár, K., Fraker, E., Gaya, E., Hafellner, J., Hofstetter, V., Gueidan, C. et al. (2014) A multigene phylogenetic synthesis for the class Lecanoromycetes (Ascomycota): 1307 fungi representing 1139 infrageneric taxa, 312 genera and 66 families. Molecular Phylogenetics and Evolution 79: 132168.CrossRefGoogle Scholar
Miller, M. A., Pfeiffer, W. & Schwartz, T. (2010) Creating the CIPRES Science Gateway for inference of large phylogenetic trees. In Proceedings of the Gateway Computing Environments Workshop (GCE), 14 November 2010, New Orleans, Louisiana, pp. 1–8.Google Scholar
Nash, T. H. III (2008) Nitrogen, its metabolism and potential contribution to ecosystems. In Lichen Biology, 2nd ed. (T. H. Nash III ed.): 216233. Cambridge: Cambridge University Press.Google Scholar
Nelsen, M. P. & Gargas, A. (2009) Symbiont flexibility in Thamnolia vermicularis (Pertusariales: Icmadophilaceae). Bryologist 112: 404417.CrossRefGoogle Scholar
Otálora, M., Jørgensen, P. M. & Wedin, M. (2014) A revised generic classification of the jelly lichens, Collemataceae. Fungal Diversity 64: 275293.Google Scholar
Øvstedal, D. O., Tønsberg, T. & Elvebakk, A. (2009) The lichen flora of Svalbard. Sommerfeltia 33: 1393.Google Scholar
Posada, D. (2003) Using Modeltest and PAUP* to select a model of nucleotide substitution. In Current Protocols in Bioinformatics (A. D. Baxevanis, D. B. Davison, R. D. M. Page, G. A. Petsko, L. D. Stein & G. D. Stormo, eds): 6.5.16.5.14. New Jersey: John Wiley & Sons.Google Scholar
Posada, D. (2008) jModeltest: phylogenetic model averaging. Molecular Biology and Evolution 25: 12531256.CrossRefGoogle ScholarPubMed
Price, K. & Hochachka, G. (2001) Epiphytic lichen abundance: effects on stand age and composition in coastal British Columbia. Ecological Applications 11: 904913.Google Scholar
Prieto, M. & Wedin, M. (2013) Dating the diversification of the major lineages of Ascomycota (Fungi). PLoS ONE 8 : e65576. doi: 10.1371/journal.pone.0065576.Google Scholar
Rambold, G. & Triebel, D. (1992) The inter-lecanoralean associations. Bibliotheca Lichenologica 48: 1201.Google Scholar
Rikkinen, J. (2002) Cyanolichens: an evolutionary overview. In Cyanobacteria in Symbiosis (A. N. Rai, B. Bergman & U. Rasmussen, eds): 3172. Dordrecht: Kluwer Academic Publishers.Google Scholar
Rikkinen, J. (2015) Cyanolichens. Biodiversity and Conservation 4: 973993.Google Scholar
Ronquist, F., Huelsenbeck, J. & Teslenko, M. (2011) Draft MrBayes version 3.2 Manual: Tutorials and Model Summaries. http://mrbayes.sourceforge.net/mb3.2_manual.pdf. Accessed 27 February 2015.Google Scholar
Ronquist, F., Teslenko, M., van der Mark, P., Ayres, D. L., Darling, A., Höhna, S., Larget, B., Liu, L., Suchard, M. A. & Huelsenbeck, J. P. (2012) MrBayes 3.2: efficient Bayesian phylogenetic inference and model choice across a large model space. Systematic Biology 61: 539542.Google Scholar
Scheidegger, C., Groner, U., Keller, C. & Stofer, S. (2002) Biodiversity assessment tools - lichens. In Monitoring with Lichens - Monitoring Lichens. NATO Science Series. IV. (P. L. Nimis, C. Scheidegger & P. A. Wolseley, eds): 359365. Dordrecht: Kluwer Academic Publishers.Google Scholar
Schmitt, I., Crespo, A., Divakar, P. K., Fankhauser, J. D., Herman-Sackett, E., Kalb, K., Nelsen, N. P., Nelson, N. A., Rivas-Plata, E., Shimp, A. D. et al. (2009) New primers for promising single-copy genes in fungal phylogenetics and systematics. Persoonia 23: 3540.Google Scholar
Schoch, C. L., Sung, G. H., López-Giráldez, F., Townsend, J. P., Miądlikowska, J., Hofstetter, V, Robbertse, B., Matheny, P. B., Kauff, F., Wang, Z. et al. (2009) The Ascomycota tree of life: a phylum wide phylogeny clarifies the origin and evolution of fundamental reproductive and ecological traits. Systematic Biology 58: 224239.Google Scholar
Spribille, T. & Muggia, L. (2013) Expanded taxon sampling disentangles evolutionary relationships and reveals a new family in Peltigerales (Lecanoromycetideae, Ascomycota). Fungal Diversity 58: 171184.Google Scholar
Tamura, K. & Nei, M. (1993) Estimation of the number of nucleotide substitutions in the control region of mitochondrial-DNA in humans and chimpanzees. Molecular Biology and Evolution 10: 512526.Google Scholar
Tavaré, S. (1986) Some probabilistic and statistical problems in the analysis of DNA sequences. In Some Mathematical Questions in Biology–DNA Sequence Analysis (R. M. Miura, ed.): 5786. Rhode Island: American Mathematical Society.Google Scholar
Tønsberg, T. (1992) The sorediate and isidiate, corticolous, crustose lichens in Norway. Sommerfeltia 14: 1331.CrossRefGoogle Scholar
Wedin, M., Wiklund, E., Crewe, A., Döring, H., Ekman, S., Nyberg, Å., Schmitt, I. & Lumbsch, H. T. (2005) Phylogenetic relationships of the Lecanoromycetes (Ascomycota) as revealed by analyses of mtSSU and nLSU rDNA sequence data. Mycological Research 109: 159172.Google Scholar
Wedin, M., Jørgensen, P. M. & Wiklund, E. (2007) Molecular phylogeny suggests the establishment of Massalongiaceae, fam. nov. (Lecanorales, Lecanoromycetes, Ascomycota). Lichenologist 39: 6167.Google Scholar
Wedin, M., Jørgensen, P. M. & Ekman, S. (2011) Vahliellaceae, a new family of cyanobacterial lichens (Peltigerales, Ascomycota). Lichenologist 43: 6772.Google Scholar
Westberg, M., Millanes, A. M., Knudsen, K. & Wedin, M. (2015) Phylogeny of the Acarosporaceae (Lecanoromycetes, Ascomycota, Fungi) and the evolution of carbonized ascomata. Fungal Diversity 73: 145158.Google Scholar
Wiklund, E. & Wedin, M. (2003) The phylogenetic relationships of the cyanobacterial lichens in the Lecanorales suborder Peltigerineae. Cladistics 19: 419431.Google Scholar
Wirth, V., Hauck, M. & Schultz, M. (2013) Die Flechten Deutschlands, Band 1 & 2. Stuttgart: Eugen Ulmer.Google Scholar
Zhang, Z., Schwartz, S., Wagner, L. & Miller, W. (2000) A greedy algorithm for aligning DNA sequences. Journal of Computational Biology 7: 203214.Google Scholar
Zharkikh, A. (1994) Estimation of evolutionary distances between nucleotide sequences. Journal of Molecular Evolution 39: 315329.Google Scholar
Zoller, S., Scheidegger, C. & Sperisen, C. (1999) PCR primers for the amplification of mitochondrial small subunit ribosomal DNA of lichen-forming ascomycetes. Lichenologist 31: 511516.CrossRefGoogle Scholar
Zwickl, D. J. (2006) Genetic algorithm approaches for the phylogenetic analysis of large biological sequence datasets under the maximum likelihood criterion. Ph.D thesis, University of Texas at Austin.Google Scholar
Figure 0

Fig. 1 Morphology of Placynthium garovaglioi and “Collolechia” caesia. A & B, thallus of Placynthium garovaglioi with distinct marginal lobes; C & D, “Collolechia” caesia with a leprose thallus lacking marginal lobes. Specimen origin. A, Palice 16564 (SAV); B, Palice 16954 (S); C, Košuthová GOT2 (S); D, Cleve s. n. (S). Scales=1 mm. In colour online.

Figure 1

Table 1 Specimen information and European Nucleotide Archive or GenBank accession numbers for the specimens included in the phylogenetic inference depicted in Figure 2. Sequences represented in bold font were generated in this study

Figure 2

Fig. 2 Most likely tree (ln likelihood=−6126·8160) based on a combined matrix of mtSSU and Mcm7 showing Collolechia nested within Placynthium. Internodes with bootstrap values ≥70% and posterior probabilities ≥0·95 are represented by thick lines. Numbers above other internodes indicate ML bootstrap support (only when values ≥50%) followed by posterior probabilities (only when values ≥0·5%) for the Bayesian analysis.

Figure 3

Fig. 3 Ascus characteristics in Placynthium. A–C, tube structures of the “Micarea-type”; D, cap-like structure of the “Vahliella-type”. A, Placynthium nigrum, type species of Placynthium (Nordin 5860, UPS); B, Placynthium (“Collolechia”) caesium (Košuthová GOT2, S); C, Placynthium garovaglioi (Palice 16954, S); D, Placynthium flabellosum (Nordin 5666, UPS). Scales=10 µm. In colour online.