Browse Subject Areas

Click through the PLOS taxonomy to find articles in your field.

For more information about PLOS Subject Areas, click here.

  • Loading metrics

Spatial Genetic Structure of the Abundant and Widespread Peatmoss Sphagnum magellanicum Brid.

  • Magni Olsen Kyrkjeeide,

    Affiliations NTNU University Museum, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway, Norwegian Institute for Nature Research, N-7485, Trondheim, Norway

  • Kristian Hassel,

    Affiliation NTNU University Museum, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway

  • Kjell Ivar Flatberg,

    Affiliation NTNU University Museum, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway

  • A. Jonathan Shaw,

    Affiliation Duke University, Department of Biology, Durham, North Carolina, 27708, United States of America

  • Narjes Yousefi,

    Affiliation NTNU University Museum, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway

  • Hans K. Stenøien

    Affiliation Centre for Biodiversity Dynamics, NTNU University Museum, Norwegian University of Science and Technology, NO-7491, Trondheim, Norway

Spatial Genetic Structure of the Abundant and Widespread Peatmoss Sphagnum magellanicum Brid.

  • Magni Olsen Kyrkjeeide, 
  • Kristian Hassel, 
  • Kjell Ivar Flatberg, 
  • A. Jonathan Shaw, 
  • Narjes Yousefi, 
  • Hans K. Stenøien


Spore-producing organisms have small dispersal units enabling them to become widespread across continents. However, barriers to gene flow and cryptic speciation may exist. The common, haploid peatmoss Sphagnum magellanicum occurs in both the Northern and Southern hemisphere, and is commonly used as a model in studies of peatland ecology and peatmoss physiology. Even though it will likely act as a rich source in functional genomics studies in years to come, surprisingly little is known about levels of genetic variability and structuring in this species. Here, we assess for the first time how genetic variation in S. magellanicum is spatially structured across its full distribution range (Northern Hemisphere and South America). The morphologically similar species S. alaskense was included for comparison. In total, 195 plants were genotyped at 15 microsatellite loci. Sequences from two plastid loci (trnG and trnL) were obtained from 30 samples. Our results show that S. alaskense and almost all plants of S. magellanicum in the northern Pacific area are diploids and share the same gene pool. Haploid plants occur in South America, Europe, eastern North America, western North America, and southern Asia, and five genetically differentiated groups with different distribution ranges were found. Our results indicate that S. magellanicum consists of several distinct genetic groups, seemingly with little or no gene flow among them. Noteworthy, the geographical separation of diploids and haploids is strikingly similar to patterns found within other haploid Sphagnum species spanning the Northern Hemisphere. Our results confirm a genetic division between the Beringian and the Atlantic that seems to be a general pattern in Sphagnum taxa. The pattern of strong genetic population structuring throughout the distribution range of morphologically similar plants need to be considered in future functional genomic studies of S. magellanicum.


Truly cosmopolitan species occurring at every continent and in all biomes are rare [1]. However, in some organism groups, such as birds and spore-producing plants, species have wide distribution ranges covering many, if not all continents and biomes [1,2]. Vicariance and/or long distance dispersal are the two main processes leading to wide, and often disjunct, distribution ranges. With advances in molecular methods, explanations involving the latter seems to be frequently supported, at least at the generic and specific levels [1,37].

Spore-producing organisms, such as lichens and bryophytes, have microscopic dispersal units, generally less than 40 μm [8,9]. Spores are usually wind-dispersed and they have the potential to colonise new habitats far from their origin [10]. Indeed, spore-producing organisms typically have wide distribution ranges [1116] that span multiple continents [11,14], sometimes including both the Northern and Southern Hemisphere [6,17]. High genetic similarities among populations in widely separated regions are found in many bryophytes [1821] and lichens [22,23]. Multiple founder events of remote islands also seem common in spore-producing plants [24,25], supporting the interpretation that long-distance dispersal occurs repeatedly.

Nevertheless, wide distribution ranges of morphologically-defined species do not necessarily reflect high dispersal abilities. Cryptic species occur within widely distributed spore-producing organisms [2628]; phylogenetically distinct lineages are discovered without any obvious differences in morphology. As a result, some apparently wide-spread species could have more restricted ranges than previously assumed. Both bryophytes and lichens are structurally simple organisms often with few diagnostic morphological characters, and differentiating closely related species based on morphology alone can therefore be difficult. Genetic analyses sometimes indicate subdivision within species and careful re-examination of cryptic species might subsequently result in identification of morphological characters useful for distinguishing them [29,30]. Moreover, genetically differentiated groups or lineages found within species may occur in allopatry [31]. This indicates that there might be significantly more phylogenetic diversity than inferred from morphological variation in some groups of organisms.

Sphagnum is a nearly cosmopolitan genus, found on all continents except Antarctica. Many species in the genus have circumboreal distributions in the Northern Hemisphere, and a few occur disjunctively in the Southern Hemisphere. Sphagnum magellanicum Brid. (subgenus Sphagnum) is one of them, being one of the most globally widespread peatmosses. It is frequently used as model to understand peatmoss physiology [32], ecology [33], and phylogeography [19], and the genome of S. magellanicum is currently being sequenced and annotated (J. Shaw, D. Weston, unpublished). Hence, it will remain a model for ecological and evolutionary research, but also for genome-wide association studies (GWAS). Toward this end, the genetic structure of S. magellanicum at local, regional and global scales needs to be taken into consideration, not only for GWAS, but more generally, for knowing which taxon is being studied. To-date, the genetic architecture of this species across its global range is unknown.

Sphagnum magellanicum is the only species in subgenus Sphagnum with truly red gametophytes. Thus, there are few species that it can be confused with in field [34]. However, it can be difficult to separate from the somewhat reddish species S. alaskense R.E. Andrus & Janssens in areas where they co-occur [35,36]. Sphagnum alaskense was described from material collected along the western coast of North America a decade ago [35]. Later, it was found in eastern and northeastern Asia [36]. Gametophytes of S. magellanicum appear to be uniformly haploid [n = 19, 37], whereas chromosome number for S. alaskense is currently unknown. Plants of S. alaskense in Alaska were previously misidentified as S. centrale C. Jens [35], indicating that S. alaskense might be gametophytically diploid like S. centrale [37]. Both S. magellanicum and S. alaskense are dioecious; female and male gametangia (archegonia and antheridia, respectively) are separated on different gametophytes. Spore sizes ranges from 25 to 30 μm in S. magellanicum [38]. Sporophyte production is common, but likely varies between sites, regions, and years. In S. alaskense, sporophytes have not been reported [35], but have been observed in herbarium material from Alaska (herb. TRH).

Eastern North American and European populations of several widespread Sphagnum species, including S. magellanicum [19], are only weakly differentiated [1921,39,40], probably because of ongoing gene flow across the Atlantic Ocean. A similar pattern of long-distance gene flow has been found for Asian and Alaskan plants [21,41]. However, continents seem to act as barriers in some circumboreal Sphagnum species and a fairly abrupt genetic break has been found in southeast Alaska, separating Alaskan specimens from conspecific plants to the south in western North America [21,41]. We hypothesise that similar genetic patterns occur in S. magellanicum, as it also has a circumboreal distribution range in the Northern Hemisphere. Thus, we predict genetic similarity between European and eastern American populations [19], similarity between Asian and Alaskan populations [41], but genetic differentiation between Atlantic versus Pacific plants, with a possible discontinuity in southeastern Alaska.

We aim to assess whether genetic variation in S. magellanicum is spatially structured across its range, and if so, to evaluate how historical factors and long-distance dispersal might have shaped observed patterns. We also include plants of the morphologically similar S. alaskense to determine whether these two morphologically similar species are separated genetically and if they have different ploidy levels.

Materials and Methods

Sphagnum magellanicum is common and often the dominant peatmoss in ombrotrophic mires in the southern arctic, boreal, and nemoral bioclimatic zones in the Northern Hemisphere. In the Southern Hemisphere, S. magellanicum occurs throughout South America. At higher elevations it occurs in tropical alpine [42] and cloudy subalpine areas [43,44], while in the southern parts of Argentina and Chile, S. magellanicum mainly occurs in the northern antiboreal bioclimatic zone [45]. The large ombrotrophic mires in Tierra del Fuego are often totally dominated by S. magellanicum [46], likely due to the absence of competition from other sphagna as it is often the only peatmoss present. In fact, the species was described from material collected at Cape Horn [47]. The subspecies S. magellanicum subsp. grandirete (Warnst.) A.Eddy has been reported from Madagascar [48], but its taxonomic status is unclear.

The main habitat of S. magellanicum in the Northern Hemisphere is bog (ombrotrophic) and poor fen (minerotrophic) mire communities, and it is mostly absent from rich fens [38,49]. It occupies a wide range along the ‘dry-wet’ mire ecogradient, as it grows in low hummocks, lawns and carpets [49]. In ombrotrophic mires of Tierra del Fuego, it occupies all habitats along the ‘dry-wet’ ecogradient from the driest hummocks to the wettest carpets and pools [46]. Sphagnum magellanicum also occurs in moist heaths, on mineral soil in forests and on rock walls in oceanic regions of the Northern Hemisphere. In cloudy high altitude subalpine forests of Costa Rica it can form extensive carpets and small hummocks in small mires on shallow peat, but occurs more commonly around the margins of moraine lakes [43,44]. In the northern Andes, it occurs partly in nutrient poor mires with underlying peat, but it also grows directly on the bedrock or on non-organic soils, with little or no peat accumulation, and sometimes as extensive carpets on vertical cliff faces [50,51].

Sphagnum alaskense is found growing in poor to medium fens and mineral edges of ombrotrophic mires in western North America [34]. The habitat of S. alaskense from western Asia [36] is more obscure (reported from bogs, lake shores, and boggy forests), because of ambiguities in mire terminology. Nearly all collections of S. alaskense from western North America in herb. TRH (10 specimens) are from poor and medium rich mire hummocks and lawns of mire margins, and a few collections are from hummocks in forested peatland. It seemingly avoids ombrotrophic (bog) mire sites. This is contrary to haploid S. magellanicum, which is a member of both ombrotrophic and minerotrophic mires, and grows in open mire expanses as well as along mire margins.

Sampling Strategy

We sampled plants of S. magellanicum from herbarium collections to cover as much of its geographical distribution as possible, and most of the species’ habitat range and morphological variation were covered as well. Broad sampling both spatially and ecologically increases the chance of finding genetically divergent lineages within S. magellanicum [52]. Four herbaria were visited for collection: DUKE (Durham, USA), LE (St. Petersburg, Russia), MHA (Moscow, Russia), and TRH (Trondheim, Norway). Additionally, a few samples were obtained from herbaria MA (Madrid, Spain) and BING (New York, USA). Altogether, 220 collections labelled S. magellanicum and 25 collections labelled S. alaskense from western North America were sampled. All samples collected were verified morphologically. From each collection, one shoot was picked for DNA analyses.

Molecular Analyses

A small piece from the central part of the shoot apex was used for DNA extraction. Extractions were performed using either the CTAB protocol described in Shaw et al. [53] or DNeasy 96 Plant Kit (Qiagen, Oslo, Norway) following the manufacture’s protocol (except in the last step where 50 μL, instead of 100 μL, elution buffer was added twice).

Fifteen microsatellite markers developed for Sphagnum were amplified in S. magellanicum. Microsatellite names and primers are provided in Shaw et al. [54] and Stenøien et al. [20]. Three to four markers were amplified in 8 μl multiplex reactions using Qiagen Multiplex PCR Kit (Qiagen, Oslo, Norway). The loci used were marked with fluorophores (HEX, FAM and NED) and divided in four mixes according to expected length, as follows: mix 1: loci 1, 7, 12, 68; mix 2: loci 4, 10, 30; mix 3: loci 19, 22, 29, 93; mix 4: loci 9, 14, 20, 56. The thermocycling regime started with an initial step at 95°C for 15 minutes, followed by 33 cycles at 94°C for 30 seconds, 53°C for 90 seconds, and 72°C for 60 seconds, and finished with a final step at 60°C for 30 minutes. 1 μL of PCR product, 8.85 μL of Hi-Di Formamide (Applied Biosystems, Norway) and 0.15 μL GSLizz500 were mixed for electrophoresis on an ABI 3730 sequencer. GENEMAPPER® software (Applied Biosystems) was used to genotype the alleles.

Two loci from the plastid genome, trnL (UAA) 59 exon-trnF (GAA) and tRNA(Gly) (UCC), hereafter trnL and trnG, respectively, were sequenced from a subset of samples from the microsatellite dataset. Thirty-two samples were chosen for DNA sequencing based on microsatellite variation (see below) and geographical distance. PCR amplifications were carried out using puReTaq Ready-To-Go PCR Beads (Amersham Biosciences) in solutions of 22.8 μL H2O, 0.1 μL forward primer, 0.1 μL reverse primer, and 2.0 μL DNA extract. The PCR cycle profile was as follows: 95°C for 5 minutes, 51°C seconds for 45 seconds, 72°C for 45 seconds, with step 2 and 3 repeated 35 times, 72°C for 5 minutes. For trnL, step 2 and 3 were as follows: 54°C for 45 seconds, 72°C for 190 seconds.

Statistical Analyses of Microsatellite Data

Population structure was explored using clustering analyses implemented in Structure 2.3.4 [5558]. A Bayesian approach is used in Structure to identify genetically homogeneous groups of specimens. The analysis was performed using 50,000 iterations as burn-in followed by 200,000 iterations. This was replicated ten times for a set of genetic clusters (K) with a maximum of 10. The Structure results were analysed, summarised, and visualised using the online version of Clumpak [59]. The best K was also estimated by the Clumpak option “Best K”. This method uses the likelihood values of all K values to identify the most likely number of clusters in the dataset. The results of the Structure analyses were plotted on maps using the R packages maps and plotrix in the R Environment [60]. Genetic structure was further explored by principal coordinate analyses (PCA) using GenAlEx 6.501 [61,62].

Genetic variation and distance measures were estimated for the data in two ways: (1) samples grouped by geographical origin and (2) genetically-based groups inferred from cluster analyses. For all geographical and genetic groups the percentage of polymorphic loci, expected heterozygosity, and mean number of alleles were estimated, and pairwise FST and Nei’s genetic distances between the groups were calculated using GenAlEx [61,62].

Phylogenetic Relationships

Nucleotide sequences from two plastid loci were used to reconstruct the phylogenetic relationships among samples of S. magellanicum and S. alaskense. All sequences were aligned using ClustalW with default parameters in Mega 6.0 [63]. Insertions were coded as characters according to Simmons and Ochoterena [64]. Phylogenetic relationships were reconstructed using the Maximum Likelihood option in Mega 6.0, adding 1000 bootstrap replications and the general time reversible substitution model (GTR; the same results were obtained using Jukes-Cantor model). In addition, a haplotype network based on the sequences were reconstructed to show number of mutational steps between haplotypes obtained, using the software TCS [65].

Divergence Time Estimation

An isolation-with-migration model was used to estimate population divergence time (T = tμ, where t is divergence time in years and μ is mutation rate per year) between the “orange” and “blue” genetic groups inferred by Structure (see below) using IMa [66]. These two groups have overlapping distributions and are represented by many individuals. Both microsatellite markers (number of repeats at each locus) and trnL sequences were included in the analysis. A preliminary test was performed following the recommendations in the user manual, while the full scale analysis was performed using 100,000 steps as burn-in followed by 20 mill steps. A geometric heating scheme with parameters set to 0.8 and 0.9 and 30 Metropolis-coupled chains was applied. The upper boundary for population sizes were set to 0.5 and divergence time to maximum 5. The migration parameters were excluded to increase statistical power.


One hundred-ninety-five samples were successfully amplified for 14 microsatellite loci (see S1 File for list of voucher specimens). Samples from the remaining herbarium specimens failed to amplify likely due to degraded DNA, and microsatellite marker 9 was excluded as 1/3 of the samples had missing data (S2 File). Fifty-nine of the S. magellanicum plants were diploid based on the observation that 50% or more of the microsatellite loci had two alleles [67]. Similarly, all S. alaskense plants (n = 22) were diploid, as two alleles were found for each sample in 10 of 14 microsatellite loci. Only two loci were fixed for one allele among all diploid samples.

All samples of S. magellanicum and S. alaskense were analysed together using the software Structure. With K = 3, the diploid formed one distinct genetic group, while haploid data were divided in two other groups (results not shown). One Chinese individual with only three heterozygous loci grouped with diploid samples at all K values in the Structure analysis. Thus, this sample was considered to be diploid, but with missing alleles. Four diploid samples grouped together with haploid genetic groups. However, these individuals were heterozygous in more than 50% of the loci and, thus, interpreted as diploids. The data were divided in two datasets (one haploid and one diploid), and further analysed separately. One hundred-eleven haploid plants and 82 diploid plants were analysed, respectively.

Haploid S. magellanicum

Genetic structure among haploid S. magellanicum plants was inferred using Structure (Figs 1 and 2). The most likely number of genetic groups estimated by Best K in Clumpak was K = 5 (Prob(K = 5) = 0.99). The probability of K = 6 was 0.01, while the probability of all other K values was 0. A comparison of Structure results for K = 2–7 is shown in Fig 1. Using K = 5 (Fig 2), the South American samples include two genetic groups, one southern (“green” cluster) and one northern (“pink” cluster). Three genetic groups occur across the Northern Hemisphere. Most plants belong to one of two widespread Northern Hemisphere groups, “orange” and “blue”. The “orange” group occurs only in the Atlantic region, whereas the “blue” group is spread across the Northern Hemisphere. Most of the plants collected in the southeastern United States plus two samples from Alaska form a distinct genetic group (“purple”). Three individuals from eastern North America (Virginia, Connecticut, and Newfoundland) are admixed with South American clusters.

Fig 1. Structure results comparing K = 2 to K = 7 for haploid samples of Sphagnum magellanicum.

The number of genetic clusters (K) are given to the left of the barplots, while the regions the samples are collected in are above the first barplot and divided by black lines. Abbreviations: WNA-western North America, CR-Central Russia, ENA-eastern North America, SA-South America.

Fig 2. Geographical distribution of genetic groups inferred by the software Structure for all samples of haploid Sphagnum magellanicum (below, colours as in Fig 1) and all samples of diploid S. magellanicum and S. alaskense (above).

Genetic groups in the haploid plants differ in their total geographical distributions, but no spatial structure was found for diploid plants.

The principal coordinate analysis is shown in Fig 3. The results correspond to the Structure results. Two main groups were detected, one containing amphi-Atlantic specimens and another with samples located throughout the Northern hemisphere. All individuals within the same genetic cluster (K = 5) inferred by Structure, group together in the PCA plot (indicated by colours in Fig 3).

Fig 3. Principal coordinate analysis based on microsatellite loci of six groups of haploid Sphagnum magellanicum divided in geographical regions.

Coloured symbols in the upper left corner show geographical origin of the samples and the coloured lines correspond to different genetic groups inferred by Structure (same colours as used in Fig 2 lower map). The dots that are not enclosed are admixed between different genetic groups.

Genetic diversity measurements were estimated excluding microsatellite marker 4, as this marker did not amplify in one of the genetic groups. This marker is fixed for one allele so no evolutionary signal was lost. Genetic diversity is highest in eastern North America and lowest in Central Russia and Asia (Table 1). Several genetic groups are represented in the eastern part of North America, while only one group is found in Asia. All samples from South America were pooled together in one regional population, resulting in relatively high genetic diversity in this region. However, the “green” and “pink” group show low genetic diversity (Table 2). The “purple” group is twice as variable as the “blue” and “orange” groups (Table 2). Two samples from Alaska were included in the “purple” group based on microsatellites, but differ from the other “purple” individuals in plastid DNA markers (see below). Estimates excluding these two samples from the “purple” group, did not affect inferences about genetic diversity (results not shown). The “green” cluster is the least variable group.

Table 2. Genetic diversity indices for genetic groups inferred by Structure in haploid S. magellanicum.

South America seems to be less differentiated from North American regions, than from Eurasian regions. Between the Northern Hemisphere regions, the FST values are relatively low, except between Europe and other regions (see S3 File for results). Genetic distance estimations between genetic groups are shown in Table 3. All pairs of genetic groups are strongly differentiated as shown by both high Nei’s genetic distances and FST values.

Table 3. Nei’s genetic distance (below diagonal) and FST (above diagonal, significant values in bold) for pairs of genetic groups inferred by the software Structure for haploid S. magellanicum.

Diploid S. magellanicum and S. alaskense

All diploid plants are restricted to western North America and Asia, with two outliers in Central Russia and one in Iowa, USA. The diploid S. magellanicum samples co-occur with S. alaskense in western North America. The Best K estimation showed that there are likely three genetic groups (Prob(K = 3) = 0.99) across all diploid samples. Four samples form a separate group (“yellow”, Fig 4). These samples grouped with haploid plants when the full dataset was analysed (see above). We found no clear separation between plants identified as S. alaskense versus diploid S. magellanicum, but many samples belong to either a “red” or a “turquois” genetic group. No geographical structure was found (Fig 2A). The principal coordinate analysis revealed a closely comparable pattern (results not shown).

Fig 4. Structure results comparing K = 2 to K = 4 for diploid samples of diploid Sphagnum magellanicum and S. alaskense (colours as in Fig 2).

The number of genetic clusters (K) are given to the left of the barplots.

Genetic diversity is similar in S. alaskense and diploid S. magellanicum, HE = 0.53 (±0.07) and 0.50 (±0.08), respectively. The mean number of alleles per locus (NA) is 5.14 (±0.08) in S. alaskense and 6.14 (±1.32) in diploid S. magellanicum. The percentages of polymorphic loci are the same (86%). Nei’s genetic distance between the two is 0.02 and FST was 0.01.

Phylogenetic Relationships

All but three specimens share the same haplotype at the trnG locus. Two “blue” haploid specimens differ from this haplotype by one substitution and one “purple” haploid plant differ by another substitution. Thus, trnG was not included in phylogenetic analyses. For trnL, five haplotypes (separated in total by two insertions and three substitutions) were found (Figs 5 and 6). All diploid plants, including S. alaskense, the two haploid plants from Alaska (“purple”), and South American plants share two insertions in their sequences and are identical, except for a plant from Ecuador that differs in one substitution. All haploid samples in the Northern Hemisphere form a clade (no insertions). The three genetic groups, “blue”, “orange”, and “purple”, have different haplotypes, except one “orange” plant sharing the “purple” haplotype. The haplotype network (Fig 6) shows the number of mutational changes between all trnL haplotypes. Nucleotide sequences are available in GenBank (see S4 File for accession numbers).

Fig 5. Maximum likelihood tree based on chloroplast DNA marker trnL for a subset of Sphagnum magellanicum (both haploids and diploids) and S. alaskense samples representing all genetic groups inferred by the software Structure.

The different genetic groups are indicated with colours corresponding to the ones used in Fig 2 (both maps). Another species from the subgenus Sphagnum, S. austinii, was used to root the tree.

Fig 6. Genealogical relationships based on chloroplast DNA marker trnL for a subset of S. magellanicum and S. alaskense samples.

The size of the ovals are proportional to haplotype frequencies. The number of plants are given in each oval for each genetic groups (inferred by Structure based on microsatellites) of haploid plants and for diploid plants (S. alaskense and diploid S. magellanicum). Lines and dots indicate one mutational change, and dots represent unsampled haplotypes.

Divergence Time Estimation

Divergence time between the “orange” and the “blue” haploid genetic groups was estimated as 0.28 (95% CI = 0.11–1.49). Using a mutation rate of 4.4x10-6 estimated for microsatellite markers in Sphagnum [68] and a mean mutation rate of 5x10-4 per site per Mya for chloroplast nucleotides used in other molecular dating studies in mosses [69], converted to mutation rate per gene per year, the divergence time between the groups in years was found to be approximately 76,400 years BP (95% CI = 29,000–403,600).


Despite their apparently overall lack of worldwide morphological differentiation, many widely distributed Northern Hemisphere peatmosses are divided genetically into Atlantic and Beringian groups [21,41]. We found the same pattern for S. magellanicum. Surprisingly, in this species the pattern is revealed at the ploidy level; diploid plants belong to the Beringian group whereas haploid plants form a broad Atlantic group. Haploid plants of S. magellanicum are further divided in five genetic groups based on microsatellite makers and these groups differ in distribution ranges. Our findings indicate that gene flow in the widely distributed S. magellanicum is limited between the various genetic groups, and little admixture is evident.

Sphagnum magellanicum could potentially include several individual species based on our findings [70]. Genetic differentiation are high between genetic groups of haploid S. magellanicum compared to other Sphagnum species with comparable distribution ranges and genetic diversity levels [21]. However, as we have only looked at genetic data, we use the term genetic groups about potential new taxa when discussing our findings. To further evaluate the taxonomical status of the genetic groups, careful morphological examination should be applied to determine if genetic groups are cryptic or not.

Distribution Ranges of Genetic Groups

The five genetic groups inferred among haploid S. magellanicum samples have different geographical ranges. Only the “blue” and “orange” groups overlap and their distribution patterns resemble those of the two closely related species S. beothuk and S. fuscum, with the former restricted to the Amphi-Atlantic region, whereas the latter is found across the Northern Hemisphere [71]. Only four other amphi-Atlantic Sphagnum species are known: S. affine [40], S. angermanicum [20], S. beothuk [71], and S. venustum [38,72]. The “orange” group within S. magellanicum could potentially be another amphi-Atlantic Sphagnum species. In Norway, the “orange” group seems to mainly occupy mire expanse sites, whereas the “blue” group usually is found along mire margins. However, based on field observations, the “blue” group probably has a wider habitat range than the “orange”, at least in areas where the latter is absent.

The distribution of the “purple” group is disjunct, with two specimens in Alaska, but the majority of plants occur in southeastern North America. Other Sphagnum species also have their main distributions in southeastern North America, for example S. fitzgeraldii and S. cyclophyllum [73]. However, S. fitzgeraldii has a disjunct occurrence in Galapagos Islands, South America, and S. cyclophyllum is found further north along the eastern coast of North America than the “purple” S. magellanicum. The two South American groups within S. magellanicum are geographically allopatric, with the “green” group confined to the southernmost parts and the “pink” occurring in the northern parts. Similarly, the widespread lichen Cetraria acuelata forms one southern and one northern genetic group in South America [6]. We have few samples from South America; thus, more data are needed to confirm whether genetic structuring observed in South America is a consistent pattern in S. magellanicum.

All but three plants of S. magellanicum sampled from Alaska are diploid. Additionally, the majority of plants we examined from eastern Asia are diploid, suggesting that the haploid S. magellanicum probably is rare in the northern Pacific region. This supports the view of Maksimov and Ignatova [36] who reclassified all S. magellanicum plants in northeastern Asia as S. alaskense. One diploid plant collected in Iowa, U.S.A, together with two samples from southern Yamal Peninsula, Russia, are outliers in the otherwise amphi-Pacific distribution of the diploid plants.

Historical Factors and Long-Distance Dispersal

The last glacial maximum influenced current species distributions and genetic diversity patterns in the Northern Hemisphere [74]. The “orange” and “blue” genetic groups in S. magellanicum appear to have split before the last glacial maximum. As most genetic groups are differentiated at approximately the same level as the “blue” and “orange” genetic groups as shown by high FST values, the genetic groups may have differentiated because of separation in different glacial refugia with no gene flow among them. The genetic groups differ in their distribution ranges, thus, they may have had different abilities to disperse and colonise after the last glacial maximum. This could be due to differences in spore production, limitations to spore dispersal by for example wind currents, or limitations to the establishment of spores [75].

Despite being a major refugium for many plants [76], it appears that few haploid S. magellanicum survived the last glaciation in Beringia, as seen by their rarity in the region today. On the other hand, the present distribution of diploid plants indicates glacial survival in Beringia or eastern Asia with Holocene expansion into most of the Pacific region. The haploid “purple” group is currently found in an area that remained ice-free for the entire glacial period. The distinct alleles and high genetic diversity in this group indicate that it may well have survived in southeastern parts of North America. Also, survival in eastern North American refugia is likely for the “orange” group, with post-glacial colonisation of Europe across the Atlantic Ocean [40]. Alternatively, the “orange” group survived in Europe and later colonised the east coast of North America [19]. Both the “orange” and the “blue” groups have northern distributions compared to the genetically more variable southern “purple” group, suggesting that the former groups were more affected by the glaciation, possibly including population bottlenecks.

Allodiploid Sphagnum species usually have higher levels of genetic diversity than haploid species because of the fixation of two alleles at many loci, see for example [77]. It is therefore somewhat surprising that the “purple” haploid group of S. magellanicum is more diverse than any of the diploid groups. Allopolyploids are not as sensitive to reduction of genetic variation following bottlenecks because of fixed heterozygosity [78]. Thus, relatively low levels of genetic diversity in diploid S. magellanicum/S. alaskense compared to other allodiploid Sphagnum species could be caused by hybrid origin of few individuals of closely related species.

Both genetic groups found in South America have low levels of genetic diversity. Low genetic variation may be a consequence of recent establishment of one or few haplotypes following long-distance dispersal from the Northern Hemisphere [79]. However, low genetic variation might also have been caused by limited sampling (n = 11). On the other hand, plants sampled from sites more than 1000 kilometres apart are genetically quite uniform. All plants share the same plastid haplotype, which is identical to the haplotype found in the diploid plants of S. magellanicum, indicating that the establishment in South America happened relatively recently [17]. Dispersal of plants from the Northern to the Southern Hemisphere has been hypothesised to happen either stepwise along the Andean mountain range or by migratory birds [3,80]. A Sphagnum fragment has recently been found in the plumage of a bird migrating between the Northern and Southern Hemispheres [81], indicating that this could be a dispersal vector for bryophytes across the equator. Indeed, it has been suggested that this is how plants of the moss genus Tetraplodon reached South America [4].

Phylogenetic Relationships

Species within the genus Sphagnum are relatively young. Even though the clade is old, species diversification likely took place in the Northern Hemisphere during climate cooling in the late Tertiary [82]. We found little differentiation in plastid DNA within S. magellanicum comparing different genetic groups defined by microsatellite data. However, even though the genetic differences found may seem small, together with nDNA differentiation they may nonetheless indicate ongoing or recent speciation in this widespread species [70].

The Northern Hemisphere haploid groups constitute one clade, while plants from South America share the exact same plastid sequence as diploid, except one specimen from Ecuador that differs with one substitution. The two “purple” individuals sampled from Alaska might not be as related to the plants from the southeastern United States as inferred from Structure based on microsatellites. Rather, they share plastid DNA with the diploid and South American plants. Plants from southeastern North America assigned to the “purple” group seem to be closely related to plants in the “orange” group based on plastid DNA. The distributions of these two groups overlap slightly in eastern North America. The sharing of one plastid DNA haplotype could indicate recent speciation, with too little time for complete linage sorting [83]. The liverwort Frullania asagrayana is also divided in southern and northern groups in eastern North America based on microsatellites, but they do not differ in nucleotide sequences [27]. The divergence of the two F. asagrayana groups was hypothesised to be associated with the Pleistocene glaciations. This could also be the case for the Northern Hemisphere genetic groups we resolved within S. magellanicum; separation in different refugia with no gene flow during the last glaciation and secondary contact and/or overlapping distributions in the Holocene following post-glacial colonisation.

Origin of Diploid S. magellanicum and S. alaskense

We were not able to find any distinction between the diploid plants named S. magellanicum and those named S. alaskense using microsatellite or plastid DNA markers. The fact that most plants of S. magellanicum from Alaska and northeast Asia are diploid and genetically similar to S. alaskense likely explains why the two can be difficult to separate in field, and indicate that they may belong to the same taxon. Preliminary morphological examinations indicate that S. alaskense plants seem to differ somewhat from diploid S. magellanicum. This is most easily seen by the more slenderly pointed branches in the outer part of the capitula of the former than the latter. Sphagnum alaskense also seems to have more imbricate branch leaves. However, this differentiation is not correlated with genetic patterns in any of the markers used here. Morphological differences with no genetic differentiation was similarly found within S. palustre L. [25] and phenotypic plasticity was hypothesised to underlie the different morphs.

Other allodiploid Sphagnum species have been confirmed using microsatellite markers; for example, S. troendelagicum [77], as they often are fixed for two alleles at each locus, one inherited from each parental species. Combining diploid and haploid S. magellanicum and S. alaskense in Structure analyses did not resolve any potential parents among the haploid genetic groups. Haploid S. lescurii and the allodiploid S. missouricum also formed different genetic groups based on microsatellites [84] even though haploid S. lescurii is the maternal parent of the diploid plants [85]. Two diploid S. magellanicum plants from Iowa and Alaska, U.S.A, and two plants of S. alaskense from British Columbia, Canada, were admixed between haploid genetic groups. Morphological examination shows that the Iowa sample is somewhat different from other diploid S. magellanicum, but still falls within that morphological group. These four samples might reflect independent hybridisation events.

To further evaluate if the diploid S. magellanicum and S. alaskense are conspecific or indeed different taxa, a thorough comparison of morphological characters has to be done together with molecular analyses using other molecular markers. Until then, all diploid plants of S. magellanicum should be considered to belong to S. alaskense.


Our results provide further evidence that widely distributed peatmosses are genetically structured across their distribution ranges [21,41]. The processes acting on shaping the separation of the “Beringian” and “Atlantic” groups may also shape similar genetic patterns in other Sphagnum species or even in spore-producing organisms in general. The wide distribution ranges of some Sphagnum species may be more limited than previously assumed based on morphological uniformity. Rather than circum-boreal distributions in Sphagnum, there seem to be main two ranges characterising genetic groups within morphospecies: one covering Asia and Alaska (except the southernmost part) and one mainly occurring in the Atlantic region, but with extensions into western North America (from southern Alaska and southwards) and through Russia into southeastern Asia.

Whether genetic groups of S. magellanicum represent cryptic species, or merit formal taxonomic recognition at specific and/or infraspecific rank, requires examination of morphological characteristics that can be used to separate them. Especially, clarifying the status of the “orange” and “blue” genetic haploid groups is important as the groups overlap in the Atlantic region. Pooling them together in for example ecological or genomic studies could give misleading results if they indeed belong to different taxa. Our results show that widespread Sphagnum species may represent lack of morphological divergence and possibly cryptic speciation, rather than being the result of ongoing long-distance dispersal.

Supporting Information

S1 File. List of voucher specimens of S. magellanicum and S. alaskense.



S2 File. Number of herbarium collections sampled (Collections), number of samples included in genetic analyses (Haploid), number of diploid specimens detected in molecular analyses (Diploid), number of misidentified samples (Misidentified) confirmed based on both genetic data and morphological examination, and number of samples that did not amplify (No DNA) of Sphagnum magellanicum and S. alaskense (all collections from Alaska, U.S.A).



S3 File. Nei’s genetic distance (below diagonal) and FST (above diagonal, significant values in bold) for pairs of geographically separated haploid S. magellanicum groups.



S4 File. List of GenBank accession numbers for nucleotide sequences of Sphagnum magellanicum and S. alaskense.




Thanks to Erik Boström for technical assistance regarding DNA sequencing in the laboratory, Kari Sivertsen for technical assistance regarding figures, and to three reviewers for commenting on the manuscript.

Author Contributions

Conceived and designed the experiments: HKS KH MOK. Performed the experiments: MOK. Analyzed the data: MOK HKS. Contributed reagents/materials/analysis tools: KH KIF MOK. Wrote the paper: MOK KH KIF AJS NY HKS.


  1. 1. Proches S, Ramdhani S. Eighty-three lineages that took over the world: a first review of terrestrial cosmopolitan tetrapods. Journal of Biogeography 2013;40: 1819–1831.
  2. 2. Ochyra R, Buck WR. Arctoa fulvella, new to Tierra del Fuego, with notes on trans-american bipolar bryogeography. The Bryologist 2003;106: 532–538.
  3. 3. Popp M, Mirré V, Brochmann C. A single Mid-Pleistocene long-distance dispersal by a bird can explain the extreme bipolar disjunction in crowberries (Empetrum). PNAS 2011;108: 6520–6525. doi: 10.1073/pnas.1012249108. pmid:21402939
  4. 4. Lewis LR, Rozzi R, Goffinet B. Direct long-distance dispersal shapes a New World amphitropical disjunction in the dispersal-limited dung moss Tetraplodon (Bryopsida: Splachnaceae). Journal of Biogeography 2014;41: 2385–2395.
  5. 5. Donoghue MJ. Bipolar biogeography. PNAS 2011;108: 6341–6342. doi: 10.1073/pnas.1103801108. pmid:21490300
  6. 6. Fernandez-Mendoza F, Printzen C. Pleistocene expansion of the bipolar lichen Cetraria aculeata into the Southern hemisphere. Molecular Ecology 2013;22: 1961–1983. doi: 10.1111/mec.12210. pmid:23402222
  7. 7. Escudero M, Valcárcel V, Vargas P, Luceño M. Bipolar disjunctions in Carex: Long-distance dispersal, vicariance, or parallel evolution? Flora 2010;205: 118–127.
  8. 8. Frahm J-P. Diversity, dispersal and biogeography of bryophytes (mosses). Biodiversity and conservation 2008;17: 277–284.
  9. 9. Pentecost A. Some observations on the size and shape of lichen ascospores in relation to ecology and taxonomy. New Phytologist 1981;89: 667–678.
  10. 10. Medina NG, Draper I, Lara F. Biogeography of mosses and allies: does size matter? In: Fontaneto D, editor. Biogeography of Microscopic Organisms: Is Everything Small Everywhere? United Kingdom: Cambridge University Press; 2011. pp. 209–233.
  11. 11. Schofield WB. Bryophyte disjunctions in the northern hemisphere—Europe and North-America. Botanical Journal of the Linnean Society 1988;98: 211–224.
  12. 12. Lücking R. Takhtajan's floristic regions and foliicolous lichen biogeography: a compatibility analysis. The Lichenologist 2003;35: 33–54.
  13. 13. Frahm J-P, Vitt DH. Comparisons between the Mossfloras of North-America and Europe. Nova Hedwigia 1993;56: 307–333.
  14. 14. Xiang J-Y, Wen J, Peng H. Evolution of the eastern Asian–North American biogeographic disjunctions in ferns and lycophytes. Journal of Systematics and Evolution 2015;53: 2–32.
  15. 15. Werth S. Biogeography and phylogeography of lichen fungi and their photobionts. In: Fontaneto D, editor. Biogeography of Microscopic Organisms. United Kingdom: Cambridge University Press; 2011. pp. 191–208.
  16. 16. Printzen C. Uncharted terrain: the phylogeography of arctic and boreal lichens. Plant Ecology & Diversity 2008;1: 265–271.
  17. 17. Piñeiro R, Popp M, Hassel K, Listl D, Westergaard K, Flatberg KI, et al. Circumarctic dispersal and long-distance colonization of South America: the moss genus Cinclidium. Journal of Biogeography 2012;39: 2041–2051.
  18. 18. Stech M, Werner O, González-Mancebo JM, Patiño J, Sim-Sim M, Fontinha S, et al. Phylogenetic inference in Leucodon Schwägr. subg. Leucodon (Leucodontaceae, Bryophyta) in the North Atlantic region. Taxon 2011;60: 79–88.
  19. 19. Szövenyi P, Terracciano S, Ricca M, Giordano S, Shaw AJ. Recent divergence, intercontinental dispersal and shared polymorphism are shaping the genetic structure of amphi-Atlantic peatmoss populations. Molecular Ecology 2008;17: 5364–5377. doi: 10.1111/j.1365-294X.2008.04003.x. pmid:19121003
  20. 20. Stenøien HK, Shaw AJ, Shaw B, Hassel K, Gunnarsson U. North American origin and recent European establishment of the amphi-Atlantic peat moss Sphagnum angermanicum. Evolution 2011;65: 1181–1194. doi: 10.1111/j.1558-5646.2010.01191.x. pmid:21073451
  21. 21. Kyrkjeeide MO. Genetic variation and structure in peatmosses (Sphagnum). Ph.D. Thesis, Norwegian University of Science and Technology. 2015.
  22. 22. Buschbom J. Migration between continents: geographical structure and long-distance gene flow in Porpidia flavicunda (lichen-forming Ascomycota). Molecular Ecology 2007;16: 1835–1846. pmid:17444896
  23. 23. Geml J, Kauff F, Brochmann C, Taylor DL. Surviving climate changes: high genetic diversity and transoceanic gene flow in two arctic–alpine lichens, Flavocetraria cucullata and F. nivalis (Parmeliaceae, Ascomycota). Journal of Biogeography 2010;37: 1529–1542.
  24. 24. Shepherd LD, De Lange PJ, Perrie LR. Multiple colonizations of a remote oceanic archipelago by one species: how common is long-distance dispersal? Journal of Biogeography 2009;36: 1972–1977.
  25. 25. Stenøien HK, Hassel K, Segreto R, Gabriel R, Karlin EF, Shaw AJ, et al. High morphological diversity in remote island populations of the peat moss Sphagnum palustre: glacial refugium, adaptive radiation or just plasticity? The Bryologist 2014;117: 95–109.
  26. 26. Shaw AJ. Biogeographic patterns and cryptic speciation in bryophytes. Journal of Biogeography 2001;28: 253–261.
  27. 27. Ramaiya M, Johnson MG, Shaw B, Heinrichs J, Hentschel J, von Konrat M, et al. Morphologically cryptic biological species within the liverwort Frullania asagrayana. American Journal of Botany 2010;97: 1707–1718. doi: 10.3732/ajb.1000171. pmid:21616804
  28. 28. Crespo A, Lumbsch HT. Cryptic species in lichen-forming fungi. IMA Fungus 2010;1: 167–170. pmid:22679576
  29. 29. Crespo A, Pérez-Ortega S. Cryptic species and species pairs in lichens: A discussion on the relationship between molecular phylogenies and morphological characters. Anales del Jardín Botánico de Madrid 2009;66S1: 71–81.
  30. 30. Szweykowski J, Buczkowska K, Odrzykoski IJ. Conocephalum salebrosum (Marchantiopsida, Conocephalaceae)—a new Holarctic liverwort species. Plant Systematics and Evolution 2005;253: 133–158.
  31. 31. Leavitt SD, Esslinger TL, Divakar PK, Lumbsch HT. Miocene divergence, phenotypically cryptic lineages, and contrasting distribution patterns in common lichen-forming fungi (Ascomycota: Parmeliaceae). Biological Journal of the Linnean Society 2012;107: 920–937.
  32. 32. Hájek T. Physiological Ecology of Peatland Bryophytes. In: Hanson DT, Rice SK, editors. Photosynthesis in Bryophytes and Early Land Plants, Advances in photosynthesis and respiration. Dordrecht: Springer; 2014. pp. 233–252.
  33. 33. Vitt DH, Wieder RK. The structure and function of bryophyte-dominated peatlands. In: Goffinet B, Shaw AJ, editors. Bryophyte Biology. Cambridge: Cambridge University Press; 2008. pp. 357–392.
  34. 34. McQueen CB, Andrus RE. Sphagnaceae Dumortier. In: Crosby MR, Delgadillo C, Harris P, Hill M, Kiger RK et al., editors. Flora of North America north of Mexico Bryophyta, part 1. New York: Oxford University Press; 2007. pp. 45–101.
  35. 35. Andrus R, Janssens JA. Sphagnum alaskense, a new species from western North America. The Bryologist 2003;106: 435–438.
  36. 36. Maksimov AI, Ignatova EA. Sphagnum alaskense (Sphagnaceae, Bryophyta), a new species for Russia. Arctoa 2008;17: 109–112.
  37. 37. Temsch EM, Greilhuber J, Krisai R. Genome size in Sphagnum (peat moss). Botanica Acta 1998;111: 325–330.
  38. 38. Flatberg KI. Norges torvmoser. Trondheim: Akademika; 2013.
  39. 39. Hanssen L, Såstad SM, Flatberg KI. Population structure and taxonomy of Sphagnum cuspidatum and S. viride. Bryologist 2000;103: 93–103.
  40. 40. Thingsgaard K. Population structure and genetic diversity of the amphiatlantic haploid peatmoss Sphagnum affine (Sphagnopsida). Heredity 2001;87: 485–496. pmid:11737298
  41. 41. Shaw AJ, Golinksi GK, Clark EG, Shaw B, Stenøien HK, Flatberg KI. Intercontinental genetic structure in the amphi-Pacific peatmoss Sphagnum miyabeanum (Bryophyta: Sphagnaceae). Biological Journal of the Linnean Society 2014;111: 17–37.
  42. 42. Cuesta F, De Bievre B. Field information Equador: The Northern Andean Páramo. IMCG Newsletter 2012: 4–6.
  43. 43. McQueen CB. Niche breadth and overlap of Sphagnum species in Costa Rica. Tropical Bryology 1995;11: 119–127.
  44. 44. Wolfe J, McQueen CB. Biogeochemical ecology of six species of Sphagnum in Costa Rica. Tropical Bryology 1992;5: 73–77.
  45. 45. Grootjans A, Iturraspe R, Fritz C, Moen A, Joosten H. Mires and mire types of Peninsula Mitre, Tierra del Fuego, Argentina. Mires and peat 2014;14: 1–20.
  46. 46. Grootjans A, Iturraspe R, Lanting A, Fritz C, Joosten H. Ecohydrological features of some contrasting mires in Tierra del Fuego, Argentina. Mires and peat 2010;6: 1–15.
  47. 47. Bridel SE. Muscologia Recentiorum. Gotha, Paris; 1798.
  48. 48. Eddy A. A revision of African Sphagnales. Bulletin of the British Museum of Natural History (Botany Series) 1985;12: 77–162.
  49. 49. Rydin H, Jeglum JK. Sphagnum—the builder of boreal peatlands. In: Rydin H, Jeglum JK, editors. The Biology of Peatlands. Second ed. New York: Oxford University Press; 2013. pp. 65–84.
  50. 50. McQueen CB. Niche diversification of Sphagnum in Bolivia. Tropical Bryology 1997;13: 65–73.
  51. 51. McQueen CB. Niche breadth and overlap of four species of Sphagnum in Southern Ecuador. Bryologist 1991;94: 39–43.
  52. 52. Pante E, Puillandre N, Viricel A, Arnaud-Haond S, Aurelle D, Castelin M, et al. Species are hypotheses: avoid connectivity assessments based on pillars of sand. Molecular Ecology 2015;24: 525–544. doi: 10.1111/mec.13048. pmid:25529046
  53. 53. Shaw AJ, Cox CJ, Boles SB. Polarity of peatmoss (Sphagnum) evolution: who says bryophytes have no roots? American Journal of Botany 2003;90: 1777–1787. doi: 10.3732/ajb.90.12.1777. pmid:21653354
  54. 54. Shaw AJ, Cao T, Wang LS, Flatberg KI, Flatberg B, Shaw B, et al. Genetic variation in three Chinese peat mosses (Sphagnum) based on microsatellite markers, with primer information and analysis of ascertainment bias. Bryologist 2008;111: 271–281.
  55. 55. Falush D, Stephens M, Pritchard JK. Inference of population structure using multilocus genotype data: Linked loci and correlated allele frequencies. Genetics 2003;164: 1567–1587. pmid:12930761
  56. 56. Hubisz MJ, Falush D, Stephens M, Pritchard JK. Inferring weak population structure with the assistance of sample group information. Molecular Ecology Resources 2009;9: 1322–1332. doi: 10.1111/j.1755-0998.2009.02591.x. pmid:21564903
  57. 57. Pritchard JK, Stephens M, Donnelly P. Inference of population structure using multilocus genotype data. Genetics 2000;155: 945–959. pmid:10835412
  58. 58. Falush D, Stephens M, Pritchard HW. Inference of population structure using multilocus genotype data: dominant markers and null alleles. Molecular Ecology Notes 2007;1: 574–578.
  59. 59. Kopelman NM, Mayzel J, Jakobsson M, Rosenberg NA, Mayrose I. Clumpak: a program for identifying clustering modes and packaging population structure inferences across K. Molecular Ecology Resources 2015;5: 1179–1191.
  60. 60. R (Development Core Team. 2011) R: A language and environment for statistical computing. Vienna: R Foundation for Statistical Computing.
  61. 61. Peakall R, Smouse PE. GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Molecular Ecology Notes 2006;6: 288–295.
  62. 62. Peakall R, Smouse PE. GenAlEx 6.5: genetic analysis in Excel. Population genetic software for teaching and research—an update. Bioinformatics 2012;28: 2537–2539. pmid:22820204
  63. 63. Tamura K, Stecher G, Peterson D, Filipski A, Kumar S. MEGA6: Molecular Evolutionary Genetics Analysis Version 6.0. Molecular Biology and Evolution 2013;30: 2725–2729. doi: 10.1093/molbev/mst197. pmid:24132122
  64. 64. Simmons MP, Ochoterena H. Gaps as Characters in Sequence-Based Phylogenetic Analyses. Systematic Biology 2000;49: 369–381. pmid:12118412
  65. 65. Clement M, Posada D, Crandall K. TCS: a computer program to estimate gene genealogies. Molecular Ecology 2000;9: 1657–1660. pmid:11050560
  66. 66. Hey J, Nielsen R. Multilocus methods for estimating population sizes, migration rates and divergence time, with applications to the divergence of Drosophila pseudoobscura and D. persimilis. Genetics 2004;167: 747–760. pmid:15238526
  67. 67. Shaw AJ, Pokorny L, Shaw B, Ricca M, Boles S, Szovenyi P. Genetic structure and genealogy in the Sphagnum subsecundum complex (Sphagnaceae: Bryophyta). Molecular Phylogenetics and Evolution 2008;49: 304–317. doi: 10.1016/j.ympev.2008.06.009. pmid:18634892
  68. 68. Karlin EF, Hotchkiss CS, Boles SB, Stenøien HK, Hassel K, Flatberg KI, et al. High genetic diversity in a remote island population system: sans sex. New Phytologist 2012;193: 1088–1097. doi: 10.1111/j.1469-8137.2011.03999.x. pmid:22188609
  69. 69. Villareal JC, Renner SS. A review of molecular-clock calibrations and substitution rates in liverworts, mosses, and hornworts, and a timeframe for taxonomically cleaned-up genus Nothoceros. Molecular Phylogenetics and Evolution 2014;78: 25–35. doi: 10.1016/j.ympev.2014.04.014. pmid:24792087
  70. 70. De Queiroz K. Species concepts and species delimitation. Systematic Biology 2007;56: 879–886. pmid:18027281
  71. 71. Kyrkjeeide MO, Hassel K, Stenøien HK, Prestø T, Boström E, Shaw AJ, et al. The dark morph of Sphagnum fuscum in Europe is conspecific with the North American S. beothuk. Journal of Bryology In Press.
  72. 72. Flatberg KI. Sphagnum venustum (Bryophyta), a noticeable new species in sect. Acutifolia from Labrador, Canada. Lindbergia 2008;33: 2–12.
  73. 73. Anderson LE, Shaw AJ, Shaw B. Peat Mosses of the Southeastern United States. New York: The New York Botanical Garden Press; 2009.
  74. 74. Hewitt GM. Genetic consequences of climatic oscillations in the Quaternary. Philosophical Transactions of the Royal Society of London Series B-Biological Sciences 2004;359: 183–195.
  75. 75. Sundberg S, Rydin H. Habitat requirements for establishment of Sphagnum from spores. Journal of Ecology 2002;90: 268–278.
  76. 76. Eidesen PB, Ehrich D, Bakkestuen V, Alsos IG, Gilg O, Taberlet P, et al. Genetic roadmap of the Arctic: plant dispersal highways, traffic barriers and capitals of diversity. New Phytologist 2013;200: 898–910. doi: 10.1111/nph.12412. pmid:23869846
  77. 77. Stenøien HK, Shaw AJ, Stengrundet K, Flatberg KI. The narrow endemic Norwegian peat moss Sphagnum troendelagicum originated before the last glacial maximum. Heredity 2011;106: 370–382. doi: 10.1038/hdy.2010.96. pmid:20717162
  78. 78. Brochmann C, Brysting AK, Alsos IG, Borgen L, Grundt HH, Scheen AC, et al. Polyploidy in arctic plants. Biological Journal of the Linnean Society 2004;82: 521–536.
  79. 79. Karlin EF, Andrus R, Boles SB, Shaw AJ. One haploid parent contributes 100% of the gene pool for a widespread species in northwest North America. Molecular Ecology 2011;20: 753–767. doi: 10.1111/j.1365-294X.2010.04982.x. pmid:21199037
  80. 80. Villaverde T, Escudero M, Martín-Bravo S, Bruederle LP, Luceño M, Starr JR. Direct long-distance dispersal best explains the bipolar distribution of Carex arctogena (Carex sect. Capituligerae, Cyperaceae). Journal of Biogeography 2015.
  81. 81. Lewis LR, Behling E, Gousse H, Qian E, Elphick CS, Lamarre J-F, et al. First evidence of bryophyte diaspores in the plumage of transequatorial migrant birds. PeerJ 2014;2: e424. doi: 10.7717/peerj.424. pmid:24949241
  82. 82. Shaw AJ, Devos N, Cox CJ, Boles SB, Shaw B, Buchanan AM, et al. Peatmoss (Sphagnum) diversification associated with Miocene Northern Hemisphere climatic cooling? Molecular Phylogenetics and Evolution 2010;55: 1139–1145. doi: 10.1016/j.ympev.2010.01.020. pmid:20102745
  83. 83. Wang JY, Frasier TR, Yang SC, White BN. Detecting recent speciation events: the case of the finless porpoise (genus Neophocaena). Heredity 2008;101: 145–155. doi: 10.1038/hdy.2008.40. pmid:18478026
  84. 84. Ricca M, Shaw AJ. Allodiploidy and homoploid hybridization in the Sphagnum subsecundum complex (Sphagnaceae: Bryophyta). Biological Journal of the Linnean Society 2010;99: 135–151.
  85. 85. Ricca M, Beecher FW, Boles SB, Temsch E, Greilhuber J, Karlin EF, et al. Cytotype variation and allopolyploidy in North American species of the Sphagnum subsecundum complex (Sphagnaceae). American Journal of Botany 2008;95: 1606–1620. doi: 10.3732/ajb.0800148. pmid:21628167