Research Article

Conservation implications of the genetic diversity of Gymnospermium microrrhynchum in Korea

Published: October 24, 2016
Genet. Mol. Res. 15(4): gmr15048843 DOI: 10.4238/gmr15048843

Abstract

Gymnospermium microrrhynchum (Berberidaceae) is an ephemeral perennial herb with a limited distributional range in the Baekdudaegan mountain areas of the Korean Peninsula, and is designated a rare plant by the Korean Forest Service. Information about its genetic variation and structure is important for developing successful conservation strategies. To investigate the genetic variation within and among seven G. microrrhynchum populations, random amplified polymorphic DNA data were obtained for 207 individuals. The populations exhibited relatively low genetic diversity: the percentage of polymorphic bands (PPB) ranged from 32.1 to 66.7% (mean = 51.4%) and Nei’s gene diversity (HE) ranged from 0.116 to 0.248 (mean = 0.188). However, genetic diversity at the species level was relatively high (PPB = 98.7%, HE = 0.349). An analysis of molecular variance revealed high differentiation among populations (ΦST = 0.6818), but the low gene flow value (Nm = 0.117) suggests a low level of gene exchange occurs among populations. Principal coordinates analysis revealed that individuals were separated according to population. The high level of genetic differentiation and restricted gene flow among G. microrrhynchum populations, which resulted from their isolation in alpine areas after the Ice Age, indicates that it is essential to protect and manage all populations, rather than focus on specific populations, in order to maintain the genetic diversity of this species.

 

INTRODUCTION

Genetic variation provides the resources on which populations rely to survive against drastic environmental changes and evolutionary adaptations (Liu et al., 2016a). Species adapted to local environments, or isolated for long periods, have low levels of genetic variation and are easily affected by small environmental changes (Hamrick et al., 1992). Therefore, the level of genetic variation is usually a good indicator of the geographical history of the taxon and the set of events it has been exposed to, and it provides basic information to maintain genetic variation (Frankham et al., 2002) or establish effective conservation strategies for target species (Yu et al., 2011).

Gymnospermium microrrhynchum (S. Moore) Takht. (Berberidaceae) is a perennial herb that is distributed throughout Manchuria, Northeast China, and the Korean Peninsula, where it is restricted to the high-altitude Baekdudaegan [about 1000 m above mean sea level (AMSL)] mountain range, which constitutes the species’ southern limit (Lee et al., 2011). G. microrrhynchum is facing a high risk of extinction because of its small number of regional groups and habitat destruction and fragmentation (Chang et al., 2005). It is designated a rare plant by the Korean Forest Service and rated as vulnerable in the Rare Plants in Korea Data Book because of concerns about habitat destruction caused by climate change (Chang et al., 2005; Korean National Arboretum, 2012).

The genetic variability and partitioning of a plant species reflects the life history traits that are crucial for its adaptation, such as breeding system, seed dispersal mechanism, geographical range, and genetic diversity (Nybom and Bartish, 2000; Nybom, 2004). Quaternary climate change probably played a major role in determining the current distributions and genetic variation of plant species (Hewitt, 2004; Chung et al., 2013). G. microrrhynchum prefers cool climates, and might have had a wider distribution during the Ice Age than it currently does (Kong, 2002). However, after the Holocene, its center of distribution probably moved north as the climate became warmer, or the species might have been isolated in alpine regions where temperatures were low. During the Late Pleistocene, the Baekdudaegan mountain range might have provided refugia for species adapted to low temperatures on the Korean Peninsula (Kong and Lim, 2008). Climate change due to global warming may result in warmer habitats, which are unfavorable for boreal plant species such as G. microrrhynchum, particularly in high-altitude regions. Therefore, monitoring these populations is invaluable in evaluating their responses to climate change, and for estimating their future status.

Molecular markers have been widely used to characterize the population genetic structures of plant species (Liu et al., 2012), and DNA-based markers have been particularly informative because, unlike morphological and biochemical markers, they are not prone to environmental influence. Random amplified polymorphic DNA (RAPD) is a useful method to determine several genetic parameters of rare and endangered plants, as it requires low amounts of plant tissue (Trindade et al., 2012) and obtains DNA fingerprints without accessing genome sequence information (Liu et al., 2012; Rodrigues et al., 2013).

Despite its vulnerable status and scattered distribution, no investigation has been undertaken on G. microrrhynchum using molecular markers, except for the study by Chang et al. (2005) using allozymes. In the present study, we used RAPD to evaluate the genetic variation within and among populations of G. microrrhynchum. The main objectives of this study were to 1) assess the levels of genetic diversity of natural populations, 2) ascertain the partitioning of genetic variation within and among populations, 3) investigate the natural history of the species, and 4) provide basic information for G. microrrhynchum conservation.

MATERIAL AND METHODS

Study plant and its distributional characteristics

G. microrrhynchum is a polycarpic perennial and early spring ephemeral herb (Lee, 2003), which is rooted at 20-30 cm depth. It blooms in April, and the racemes bear approximately 10-20 bright yellow flowers at the end of the stem; the flowers have six petals and the stipule is a phyllode. The pedicle becomes increasingly short, to around 3 cm long (Lee, 1997, 2003). The stem grows to about 30-40 cm aboveground, and has biternate leaves surrounded by complete stipules. The fruit is a round capsule and ripens in May. Due to its rarity, the Korean Ministry of the Environment listed G. microrrhynchum as an endangered species, but it was removed from this list in 2012 following the discovery of new habitats (Ministry of Environment, 2012). Nevertheless, this species is still listed as rare by the Korean Forest Service (Korean National Arboretum, 2012).

G. microrrhynchum has a limited distributional range in the Taebaek Mountains (Baekdudaegan, Korean Peninsula). Mt. Taebaek (37°06'31''N, 128°54'30''E; around 1163 m AMSL) is its southern limit; its lower altitude limit (684 m AMSL) is in Baekbong-ryung (37°32'08''N, 128°56'45''E). The seven populations of G. microrrhynchum considered in this study (Figure 1) were sampled from gentle slopes or ridges (Table 1), in a narrow thermal climatic area characterized by a Warmth Index (WI) of between 50°-75°C·month, with an average of 59.7° ± 6.3°C·month (Figure 2). The WI is calculated by summing all of the monthly mean temperatures above 5°C (Yim and Kira, 1975). Therefore, all of the G. microrrhynchum populations studied were in a cool temperate forest zone (Yim, 1977).

Distribution of the Gymnospermium microrrhynchum populations considered in this study. 1 = TB, Mt. Taebaek. 2 = GD, Geumdae-bong. 3 = GR, Mt. Gariwang. 4 = BB, Baekbong-ryung. 5 = GuR, Guryong-ryung. 6 = GB, Gombae-ryung. 7 = BA, Bukam-ryung.

Characteristics of the sampling locations and sample sizes of each Gymnospermium microrrhynchum population studied.

No. Population* Latitude Longitude Altitude (m) Slope (°) Slope orientation Sample size (N)
1 Mt. Taebaek (TB) 37°N06'31'' 128°E54'30'' 1163 10 NE 30
2 Mt. Geumdae (GD) 37°N12'34'' 128°E54'59'' 1353 17 NW 30
3 Mt. Gariwang (GR) 37°N27'17'' 128°E33'12'' 1294 10 NW 30
4 Baekbong-ryung (BB) 37°N32'08'' 128°E56'45'' 684 25 SW 30
5 Guryong-ryung (GuR) 37°N52'37'' 128°E30'54'' 1077 23 E 29
6 Gombae-ryung (GB) 38°N01'34'' 128°E25'57'' 1163 12 SE 30
7 Bukam-ryung (BA) 38°N02'42'' 128°E29'42'' 1030 8 N 28

*The acronym used for each population is indicated in parentheses.

Geographical and thermal climatological distribution of Gymnospermium microrrhynchum populations on the Korean Peninsula. 1 = Mt. Taebaek. 2 = Geumdae-bong. 3 = Mt. Gariwang. 4 = Baekbong-ryung. 5 = Guryong-ryung. 6 = Gombae-ryung. 7 = Bukam-ryung.

Sampling

Two or three young and intact leaflets were randomly collected from 207 individuals belonging to the seven populations of G. microrrhynchum (approximately 30 individuals per population, Table 1) that were approximately 10 m apart from each other during the early growing season (April to May 2010). Immediately after collection, the leaf samples were placed inside a vinyl bag containing a solid moisture absorbent. The leaf samples were preserved at -20°C in the laboratory until DNA extraction.

DNA extraction and RAPD

Frozen leaf samples were placed in liquid nitrogen and ground using a mortar and pestle. DNA was extracted from the powdered leaf samples using a DNeasy® Plant Mini Kit (Qiagen, Almeda, CA, USA), and its quantity and quality were verified using a NanoDrop® ND-1000 Spectrophotometer (NanoDrop Technologies, DE, USA). Each DNA sample was diluted to 25 ng/µL with 0.5X TE buffer before conducting a RAPD-polymerase chain reaction (PCR). Of the 100 RAPD primers (Operon RAPD® 10-mer kit, Qiagen) from the A, C, D, E, F, P, O, N, W, and AF series screened, eight were selected for this study based on their reproducible and distinct banding patterns (Table 1). PCRs were performed in a total volume of 20 µL that contained 25 ng genomic DNA, 1 U Taq DNA polymerase (TaKaRa Bio Inc., Otsu, Japan), 2.0 µL 10X PCR buffer, 1.0 µL dNTP mixture (2.5 mM each), 2.0 µL primer (20 pmol), and double-distilled water. PCR amplifications were conducted in a TProfessional Basic Thermocycler (Biometra, Goettingen, Germany) under the following conditions: initial denaturation at 94°C for 2 min; 39 cycles at 94°C for 30 s (denaturation), 36°C for 30 s (annealing), and 72°C for 1 min (extension); with a final extension at 72°C for 10 min. The PCR products were subjected to electrophoresis on 1.4% agarose gels in 0.5X TAE buffer, and visualized under ultraviolet light using ethidium bromide. Band patterns were photographed using a Gel DocTM 2000 gel Imaging System (Bio-Rad Laboratory Inc., Hercules, CA, USA).

Data analysis

Each RAPD fragment was scored as either present (1) or absent (0) and a binary data matrix was obtained. Genetic variation was then determined based on the percentage of polymorphic bands (PPB) in relation to total bands, Nei’s (1978) gene diversity (HE), the observed number of alleles per locus (AO), the effective number of alleles per locus (AE), and Shannon’s information index (I) using POPGENE v. 1.32 (Yeh and Boyle, 1997).

To estimate the genetic differentiation within and among G. microrrhynchum populations, an analysis of molecular variance (AMOVA) was performed in ARLEQUIN ver. 3.1 (Excoffier et al., 2007) and the genetic differentiation coefficient ΦST was calculated. Gene flow, i.e., the proportion of new immigrant genes moving into the population, was determined using the formula Nm = 1/4 (1 − ΦST)/ΦST (Slatkin and Barton, 1989), where N is the effective population size and m is the migration rate.

To investigate the relationships between individuals within a single population and among populations, an unweighted pair-group method with arithmetic average (UPGMA) cluster analysis was performed based on the RAPD binary matrix using POPGENE v. 1.32. Genetic distance (Nei, 1978) was calculated using POPGENE v. 1.32, and geographical distances were calculated using Google Earth (www.google.com/earth). A Mantel test (Mantel, 1967) was performed to investigate correlations between the G. microrrhynchum populations’ genetic and geographical distances using GenAIEx v. 6.5 (Peakall and Smouse, 2006). A principal coordinates analysis (PCoA) was performed in GenAIEx v. 6.5 based on the binary RAPD matrix, and three-dimensional Euclidian distances were calculated for all pairwise comparisons of the G. microrrhynchum individuals. The PCoA results were plotted in the space defined by the first and second PCoA axes in GenAIEx v. 6.5. All of the statistical analyses considered P < 0.05 as significant.

RESULTS

G. microrrhynchum genetic diversity

The average number of bands per primer was 9.75 (Table 2). At the species level, 77 of 78 RAPD-PCR bands had polymorphic loci (98.7% polymorphism) (Table 3). However, the PPB within each population ranged from 32.1 to 66.7%, and the mean PPB for the seven populations was 51.4% (Table 3).

Primers used in the random amplified polymorphic DNA-polymerase chain reaction and their sequences, and the number of loci and polymorphic loci obtained in this analysis.

Primer Sequence (3'-5') Number of loci Number of polymorphic loci
OPA-08 GTGACGTAGG 10 10
OPA-10 GTGATCGCAG 9 9
OPAF-07 GGAAAGCGTC 10 10
OPAF-20 CTCCGCACAG 10 10
OPN-03 GGTACTCCCC 10 10
OPN-13 AGCGTCACTC 13 13
OPO-06 CCACGGGAAG 12 11
OPP-05 CCCCGGTAAC 4 4
Mean 9.75 9.63

Genetic diversity of the seven Gymnospermium microrrhynchum populations according to different indices.

Population PPB AO AE HE I
BA 66.7 1.667 1.426 0.245 0.362
GB 65.4 1.654 1.433 0.248 0.364
BB 58.7 1.590 1.354 0.216 0.324
GD 55.1 1.551 1.275 0.176 0.272
GuR 48.7 1.487 1.312 0.182 0.269
GR 33.3 1.333 1.185 0.116 0.176
TB 32.1 1.321 1.247 0.136 0.196
Mean 51.4 1.515 1.319 0.188 0.280
Total 98.7 1.987 1.613 0.349 0.517

PPB, percentage of polymorphic bands; AO, observed number of alleles per locus; AE, effective number of alleles per locus; HE, Nei’s gene diversity; I, Shannon’s information index. BA, Bukam-ryung; GB, Gombae-ryung; BB, Baekbong-ryung; GD, Geumdae-bong; GuR, Guryong-ryung; GR, Mt. Gariwang; TB, Mt. Taebaek.

The G. microrrhynchum populations exhibited different degrees of genetic diversity (Table 3); however, all of the genetic diversity indices revealed a significant close relationship (R2 = 0.837-0.999, P < 0.05). The genetic diversity of each population reflected its latitudinal position: the two most northern populations, Bukam-ryung (BA) and Gombae-ryung (GB), had the highest genetic diversity, whereas the southernmost population, Mt. Taebaek (TB), had the lowest. PPB, HE, and I in the BA and GB populations were 66.7 and 65.4, 0.245 and 0.248, and 0.362 and 0.364, respectively. In contrast, TB had 32.1 PPB, 0.136 HE, and 0.196 I, which were about half the values found in BA and GB (Table 3). These results suggest that the G. microrrhynchum populations originated in the north (Kong, 2002), and that the Korean Peninsula is their southern distributional limit (Figure 3).

Relationship between latitude and Nei’s genetic diversity in the Gymnospermium microrrhynchum populations analyzed. The regression is y = 0.1007x - 3.5995 (R = 0.566, P < 0.05).

Geographically intermediate sites, such as Guryong-ryung (GuR), Mt. Gariwang (GR), Mt. Geumdae (GD), and Baekbong-ryung (BB), had intermediate genetic diversity values (Table 3). Although GR, GD, and BB had relatively high genetic diversity considering their latitude, GuR had relatively low genetic diversity relative to the latitudinal gradient.

The genetic diversity of G. microrrhynchum at the species level was higher than that at the population level (Table 3), with PPB reaching 98.7, HE being 0.349, and I attaining 0.517. These values were not only higher than the mean genetic diversity values calculated for the seven populations studied, but also higher than the values obtained for BA and GB, which had the highest values amongst the studied populations.

Genetic structure of G. microrrhynchum populations

AMOVA was performed to examine the distribution of total genetic variation among and within populations. The results showed that 68.18% of the total genetic variation was due to differences among populations and 32.82% to differences among individuals within populations (Table 4). Both variance components were highly significant (P < 0.001). The higher value of genetic differentiation among populations than within populations indicates that gene exchange among local G. microrrhynchum populations was low, which agrees with the low Nm value (0.117 individuals per generation) that was calculated based on ΦST values among populations.

Analysis of molecular variance among the seven Gymnospermium microrrhynchum populations studied.

Source of variance d.f. Variance component Genetic variation (%) P value
Among populations 6 8.6859 68.18 <0.001
Within populations 200 4.5408 32.82 <0.001

d.f., degrees of freedom.

The geographical distances measured between the seven studied populations are shown in Table 5 (above the diagonal), together with Nei’s genetic distance (below the diagonal).

Geographical distances (above diagonal, km) and Nei’s genetic distance (below diagonal) between Gymnospermium microrrhynchum populations.

BA GB GuR GR BB GD TB
BA - 5.3 17.9 64.7 69.6 99.8 109.8
GB 0.1859 - 17.9 63.8 63.9 100.3 110.1
GuR 0.3457 0.2172 - 46.7 46.9 82.6 92.3
GR 0.3092 0.3073 0.2818 - 36.4 41.9 49.4
BB 0.2483 0.2027 0.2328 0.1742 - 37 48.1
GD 0.2383 0.2655 0.3100 0.2232 0.2241 - 11.3
TB 0.2996 0.2937 0.3605 0.1789 0.2749 0.2898 -

BA, Bukam-ryung; GB, Gombae-ryung; GuR, Guryong-ryung; GR, Mt. Gariwang; BB, Baekbong-ryung; GD, Geumdae-bong; TB, Mt. Taebaek.

According to the Mantel test, the geographical and genetic distances were not significantly correlated (R2 = 0.132, P > 0.06). Therefore, there was no clear geographical tendency that explained the distribution of genetic variability among the G. microrrhynchum populations, despite the significant latitudinal gradient found for their genetic diversity: northern populations had higher values of genetic diversity than southern populations.

The UPGMA dendrogram that was constructed based on Nei’s genetic distance between all G. microrrhynchum population pairs (Figure 4) revealed a close genetic relationship between BA and GB, which reflected their close geographical distance. These populations formed a cluster that was differentiated from a cluster comprising GR, BB, GD, and TB that were grouped according to their latitudinal similarity: these four populations were located in the southern part of G. microrrhynchum’s distribution along the Korean Peninsula. The northern GuR population, although geographically close to BA and GB, was the most distantly related to the six other populations. Population BB had relatively high genetic diversity among the southern populations and almost identical genetic distances to all of the populations, although it did inhabit the lowest altitude (684 m AMSL).

Unweighted pair-group method with arithmetic average dendrogram of Gymnospermium microrrhynchum populations. The scale bar represents Nei’s genetic distance. TB, Mt. Taebaek; GD, Geumdae-bong; GR, Mt. Gariwang; BB, Baekbong-ryung; GuR, Guryong-ryung; GB, Gombae-ryung; BA, Bukam-ryung.

The PCoA results of all of the G. microrrhynchum individuals in the seven populations studied are presented in Figure 5. Cumulatively, the first three vectors accounted for 64.1% of the total variance detected, each comprising 25.1, 21.3, and 17.7% of the total variance, respectively. A simple plot of the first two vectors revealed that most individuals tended to be separated according to their population, with the exception of individuals from TB and GR, which were grouped along the first vector.

Principal coordinates analysis plot showing the random amplified polymorphic DNA banding pattern ordination of Gymnospermium microrrhynchum individuals in the space defined by the first two vectors (axes). TB, Mt. Taebaek; GD, Geumdae-bong; GR, Mt. Gariwang; BB, Baekbong-ryung; GuR, Guryong-ryung; GB, Gombae-ryung; BA, Bukam-ryung.

DISCUSSION

Genetic diversity and structure of G. microrrhynchum populations

The G. microrrhynchum populations studied here, which were distributed in the southern area of Baekdudaegan that is the backbone of the Korean Peninsula, exhibited higher genetic diversity at the species level than at the population level, as evidenced by the PPB, HE, and I values. In addition, high genetic differentiation and low levels of gene flow were detected among the populations. At the species level, genetic diversity was relatively high (PPB = 98.7%, HE = 0.3491, and I = 0.5171), whereas the average genetic diversity at the population level was relatively low (PPB = 51.4%, HE = 0.2084, and I = 0.3101). Using RAPD or inter simple sequence repeat markers, similar results have been obtained for rare or endangered species such as Tuberaria major (PPB = 97.66%, HE = 0.197, and I = 0.324 at the species level; PPB = 65.89%, HE = 0.160, and I = 0.259 at the population level) (Trindade et al., 2012), Neopicrorhiza scrophulariiflora (PPB = 100.00%, HE = 0.407, and I = 0.591 at the species level; PPB = 30.56%, HE = 0.124, and I = 0.179 at the population level) (Liu et al., 2011), Dimorphandra mollis (PPB = 40.00%, HE = 0.124, and I = 0.190 at the species level; PPB = 14.6%, HE = 0.052, and I = 0.078 at the population level) (Viana e Souza and Lovato, 2010), and Mentha cervina (PPB = 98.3%, HE = 0.325, and I = 0.23 at the species level; PPB = 44.4%, HE = 0.151, and I = 0.23 at the population level) (Rodrigues et al., 2013). The most plausible explanation for the high genetic diversity found at the species level is a high level of genetic differentiation among populations (Rodrigues et al., 2013), which was supported by the AMOVA and PCoA results. Therefore, G. microrrhynchum populations seem to have been isolated for a long period without any genetic exchange among them, which might be due to these populations being restricted to areas such as mountaintops. Chang et al. (2004) studied the genetic diversity of G. microrrhynchum populations using allozymes, and similar to our results (ΦST = 0.6818), they found that total genetic differentiation was mainly caused by variations among populations (genetic differentiation coefficient, GST = 0.627). Their results also revealed higher genetic diversity at the species level (PPB = 35.7%) than at the population level (PPB = 10.1%), although their values were lower than those obtained in the present study. Differences in diversity values between studies are probably due to differences in the markers used, e.g., allozymes vs RAPD. RAPD markers target the entire genome, and thereby detect more loci than do allozymes (Nybom, 2004).

According to Hamrick et al. (1992), the genetic diversity of a plant population depends upon the extent of its regional distribution, age and size, breeding system, seed dispersal, and life history. Nybom and Bartish (2000) investigated the relationship between life history traits and genetic diversity, as measured by RAPD markers, within and among populations, and found that the breeding system greatly influenced the genetic diversity of populations. According to Nybom’s (2004) results, the ΦST value obtained between G. microrrhynchum populations (0.6818) is similar to that of self-pollinating plants (ΦST = 0.70), and markedly different to that of plants with outcrossing (ΦST = 0.28) or mixed breeding systems (ΦST = 0.27). Chang et al. (2004) suggested that G. microrrhynchum is a self-pollinating plant, based on field observations of successful fruit production despite the absence of a specific pollinator. Based on these results, G. microrrhynchum appears to rely on self-pollination mechanisms. The Mantel test, UPGMA cluster analysis, and PCoA indicate that there was no significant relationship between the geographical and genetic distances, and this is generally observed in self-pollinating species (Nevo et al., 1998), except when geographical distances are extremely high (Gabrielsen et al., 1997). In addition, Chang et al. (2004) indicated that the fruit of G. microrrhynchum has no dispersal vector, and is dispersed by gravity. This restricted seed vagility might decrease gene flow between populations (Liu et al., 2016b) and expand the distributional range of local populations, leading to their restriction to local environments to which they become adapted. In addition, differentiated small local populations may exhibit increased disagreement between genetic and geographical distances due to genetic drift (Fischer and Matthies, 1998). The gene flow calculated for G. microrrhynchum populations based on ΦST values (Nm = 0.117) suggests a low level of gene exchange among local populations. In species with low levels of gene flow (Nm < 1), genetic drift is usually the predominant factor that shapes populations’ genetic structures (Liu et al., 2011). Therefore, the low levels of gene flow found in the present study suggest that genetic drift has affected the genetic composition of G. microrrhynchum populations.

Natural history of G. microrrhynchum populations

The G. microrrhynchum populations exhibited increasing genetic diversity with increasing latitude (Figure 3). This suggests that G. microrrhynchum is a north-origin relict plant (Kong, 2002). Such boreal plants probably moved south to seek refuge from the cold and dry climatic characteristic of the Ice Age during the Late Pleistocene, and settled in a high-mountain area within the Korean Peninsula. During the following warm interglacial or post-glacial age, competition with other southern plants may have instigated their return to northern areas, or their restriction to high mountains. In this period, high mountains provided suitable refugia for boreal plants, which changed their distributional elevations according to the inter-glacial and cold glacial Quaternary climatic cycles (Chung et al., 2012). Within the Korean Peninsula, these glacial relict species are mainly distributed in the high-mountain area of Baekdudaegan (Kong, 2002). This area is thought to have contained refugia of various sizes, and provided a stable macrorefugia for almost all boreal plant species.

The low levels of genetic diversity found for each of the seven G. microrrhynchum populations studied, their high genetic differentiation, and low level of gene flow, suggest that extant populations originated in several small, isolated microrefugia within Baekdudaegan (Chung et al., 2012). G. microrrhynchum was expected to exhibit a low level of gene flow between populations, given its autogamous mating system and gravity-dispersed seeds, and the fact that it is found in temperature-sensitive habitats. The very low gene flow value obtained in the present study is consistent with the results of Chang et al. (2004) using allozymes. However, other authors have noted that most glacial relict species inhabiting the Korean Peninsula survived in large and stable macrorefugia within the Baekdudaegan area, as these plant species exhibited high genetic diversity within populations and low genetic differentiation (Chung et al., 2001, 2009, 2012, 2013). Such differences are probably related to the ecological characteristics of each species. Similar to G. microrrhynchum populations, Kirengeshoma koreana populations also survived in small isolated microrefugia, exhibit low levels of genetic diversity, high levels of genetic differentiation, and low levels of gene flow among them (Chung et al., 2013). Therefore, the ecological traits of G. microrrhynchum probably contributed to the species’ survival in small and isolated microrefugia in Baekdudaegan during the Ice Age, like K. koreana. In addition, G. microrrhynchum populations might be greatly affected by climate change and increasing temperature, due to a reduction in gene flow between populations and their isolation on mountaintops. Ecological and genetic studies, including of the species’ center of distribution in Northeast Asia, would contribute to a better understanding of the status of G. microrrhynchum populations on the Korean Peninsula, which is the southern limit of its global distribution.

Conservation implications

Climate change and/or global warming are particularly threatening to organisms that are isolated to cool or cold habitats, such as boreal and alpine plants and animals (Nair et al., 2014), including G. microrrhynchum populations that inhabit the slopes of Baekdudaegan on the Korean Peninsula (Chang et al., 2004). For designing management and protection programs under a climate change scenario, species genetic variability has received special attention in the past few years (Nair et al., 2014). The successful management and conservation of natural populations depend upon an accurate assessment of their genetic diversity, in order to address questions regarding genetic relationships among individuals as well as the level and structure of genetic variation (Nair et al., 2014). As the evolutionary potential of a species to cope with an ever-changing environment depends upon its level of genetic variability (Avise and Hamrick, 1996), knowledge of genetic diversity and structure among populations is required for developing appropriate conservation and management strategies. In general, if alpine and subalpine forest ecosystems are disturbed or destroyed, it is almost impossible to return them to their original status, or it could take a very long time because of low system productivity in adverse weather conditions (Grabherr et al., 1994). Because all known populations of G. microrrhynchum inhabit alpine or subalpine areas, the destruction of vegetation by anthropogenic activity will have a seriously adverse effect on population survival. In order to minimize G. microrrhynchum habitat fragmentation and destruction, it is essential to establish a restricted-access conservation area. In addition, conservation efforts should be directed to the present buffer zones, and to the estimated distribution area. Our genetic survey of G. microrrhynchum populations inhabiting the Baekdudaegan mountains on the Korean Peninsula revealed high genetic differentiation and low gene flow among populations and low genetic diversity within populations, which all reflect their characteristically isolated habitats. Furthermore, G. microrrhynchum has an autogamous mating system and its seeds are dispersed by gravity. Therefore, natural contact between local populations over environmental barriers is unfeasible, and each population is almost independently distributed genetically and geographically, which was reflected in the non-significant relationships we found between the genetic and geographical distances between them. The higher genetic diversity at the species level than at the population level, and the remarkable gradient of genetic diversity that corresponded with the latitudinal gradient, also indicate that these populations have evolved independently from a northern-origin population. Therefore, it is essential to protect and manage all populations, rather than focus on particular ones, in order to maintain the genetic diversity of G. microrrhynchum.

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