Introduction
To survive a plant population must be adapted to its immediate environment [13]. For a natural population to be adapted to a local area or region, most of the individuals in it must possess genotypes and phenotypes that enable them to survive and reproduce. Its genetic structure must be sufficiently malleable that new genotypes can arise and be perpetuated in response to inevitable changes in the environment. Population genetics is about the information and collection of genes belonging to all the members of a population taken together [19].
Equisetum is a "living fossil" and has a history stretching back to the Cretaceous and possibly as far back as the Triassic [2]. Equisetum was much more diverse and dominated the understory of late Paleozoic forests. As a result, Equisetum may perhaps be the oldest living genus of vascular plants [8].
Equisetum pratense Ehrh is commonly known as meadow horsetail, shade horsetail or shady horsetail and the species is a plant species belonging to the division of horsetails (Equisetophyta). Shade horsetail can be commonly found in forests with shade or moisture. They also tend to grow closer and thicker around streams, ponds and rivers. E. pratense has green, bottlebrush-like perennial, from spreading rhizomes and is erect, hollow, and slender. The height of plants is 10-50 cm tall and the thick of plants has 1-4 mm [17]. Fertile stems grow at first without chlorophyll. Becoming green and growing branches after spores are shed. Sterile stems are mostly single, whitish green, with 10-18 minutely roughened ridges and many whorled branches are fine, 3 -sided, and a central cavity 1/6 to 1/3 the diameter of the stem [17].
Although molecular and biochemical approaches are increasingly being applied to address the taxonomic and phylogenic relationships within animals and plants in Korea [9], no population genetics studies have been conducted, espe-cially on the population genetic structure of E. pratense. Therefore, detailed studies, in particular at the DNA level, on genetic diversity of natural populations of E. pratense, and genetic relationships among populations are necessary from the viewpoint of plant evolution. Such lack of information limits understanding of speciation, adaptation, or genetic change, which requires knowledge of genetic patterns and process by which they are modified. This knowledge is crucial for developing program to protect and preserve the genetic resources of plant species.
Random amplification of polymorphic DNA (RAPD) is a type of PCR reaction, but the segments of DNA are amplified randomly. The RAPD analysis described by Williams et al. [21] is a commonly used molecular marker in genetic diversity studies. RAPD assay has been useful in determining genetic relationships among closely related species [3, 18]. RAPD analysis is quick, robust, requires minimal preliminary work [14]. Perhaps the main reason for the success of RAPD analysis is the gain of a large number of genetic markers that require small amounts of DNA without the requirement for cloning, sequencing or any other form of the molecular characterization of the genome of the species in question [1]. In this study six populations of E. pratense from Korea were analyzed for RAPD markers. We expected that the RAPD analyses assess the amount and structure of genetic diversity within and among populations and we successfully assess the genetic relationships among the local populations of E. pratense in Korea.
The objective of study is to estimate the level of genetic diversity in the species. We wanted to detect the pattern of differentiation and speciation using RAPD makers.
Materials and Methods
Plant materials
Six populations of E. pratense in Korea were collected for this study (Table 1).
Table 1.The symbol of populations used in this study and geographic location
From April 2013 to July 2013, fifteen plants per each population were randomly sampled and their leaves were used for molecular analysis. The distance between the selected individuals was about 20 m to avoid including individuals emanating from the same rhizome.
Genomic DNA isolation and RAPD analysis
DNA was extracted using the plant DNA Zol Reagent (Life Technologies Inc., Grand Island, New York, USA) according to the manufacturer′s protocol. Twenty arbitrarily chosen 10-mer primers, the kit A (OPA-01 to 20) and kit D (OPD-01 to 20) of Operon Technologies (Alameda, Co., USA) were used. Amplification reactions were performed in 0.6 ml tubes containing 2.5 μl of the reaction buffer, 10 mM Tris-HCl (pH 8.8), 1.25 mM each of dATP, dCTP, dGTP, dTTP, 5.0 pM primer, 2.5 units Taq DNA polymerase, and 25 ng of genomic DNA. All the reactions were repeated twice and only reproducible bands were scored for analyses. The amplification products were separated by electrophoresis on 2.0% agarose gels, stained with ethidium bromide, and photographed under UV light using Alpha Image TM (Alpha Innotech Co., USA). A 100 bp ladder DNA marker (Pharmacia) was used in the end of for the estimation of fragment size.
Data analysis
All monomorphic and polymorphic RAPD bands visible by eye were scored and only unambiguously scored bands were used in the analyses. Each polymorphic RAPD band was given a score of 1 for presence or 0 for absence. Several standard genetic parameters were estimated using the computer program, POPGENE ver. 1.31 [22]. The percentage of polymorphic loci (Pp), mean number of alleles per locus (A), effective number of alleles per locus (AE), Nei′s [15] gene diversity (H), and Shannon′s Information index (I) [11].
The estimation of genetic similarity (GS) between genotypes was based on the probability that an amplified fragment from one individual will also be present in another [16]. GS = 2× Number of shared fragment between A and B / (Number of fragment in A + Number of fragment in B). GS was converted to genetic distance (1-GS) [10].
Nei′s gene diversity formulae (HT, HS, and GST) were used to evaluate genetic diversity within and among populations [15]. The GST coefficient corresponds to the relative amount of differentiation among populations. Furthermore, gene flow (Nm) between the pairs of species was calculated from GST values by Nm = 0.5(1/ GST-1) [12].
Cluster analyses
A phenetic tree was constructed by the neighbor joining (NJ) method [20] using the NEIGHBOR program in PHYLIP version 3.57 [4].
Results
From the 40 decamer primers used for a preliminary RAPD analysis, ten primers produced good amplification products both in quality and variability (Table 2). The remaining primers either did not amplify or showed unclear amplification across all genotypes. For example, Fig. 1 showed the RAPD profiles at the isolate level using generated by primer of OPA-19 and OPD-07. P3 is different from other populations in the OPA-19 primer and P3~P6 had specific band in last second lines from bottom in OPD-07.
Table 2.List of decamer oligonucleotide utilized as primers, their sequences, and associated polymorphic fragments amplified in the E. pratense test array
Fig. 1.The RAPD profiles generated by primer of OPA-19 (A) and OPD-07 (B) that resolved in 2.0% agarose gel. M is a DNA size marker (100 bp ladder). P1~P6 are same symbols in Table 1.
In a simple measure of inter-populations variability i.e. the percentage of polymorphic bands, the Yecheon population exhibited the highest variation (35.3%) among populations and the Busan population the lowest (20.6%) (Table 3). The average number of alleles per locus (A) was 1.267 across species, varying from 1.206 to 1.353. The effective numbers of alleles per locus (AE) at the lowest population and the highest population level were 1.150 and 1.190, respectively. The mean genetic diversity within species was 0.102. Overall, the Yecheon and Juchon populations exhibited high variation among populations. The Busan and Jinhae populations were shown the low genetic variation.
Table 3.Measures of genetic variability for RAPDs generated among six populations of E. pratense
Total genetic diversity values (HT) varied between 0.112 (OPD-07) and 0.445 (OPD-16), for an average over all polymorphic loci of 0.141 (Table 4). Interlocus variation in the within-population genetic diversity ( HS) was low (0.102). On a per-locus basis, the proportion of total genetic variation due to differences among populations ( GST) ranged from 0.129 for OPD-07 to 0.455 for OPD-09, with a mean of 0.277. This indicated that about 27.7% of the total variation was among populations. Thus, about genetic variation (72.3%) resided within populations. The estimate of gene flow, based on GST, was slightly high among populations of E. pratense (Nm =1.308). Values of genetic distance (D) were <0.113 (Table 5). Genetic identity values among pairs of populations ranged from 0.894 to 0.984. Genetic distances between populations were low. Thus, there was not shown significant difference among six populations
Table 4.Estimates of genetic diversity statistics and 41 polymorphic loci in E. pratense. Total genetic diversity (HT); genetic diversity within populations ( HS), proportion of total genetic diversity partitioned among populations (GST), and gene flow (Nm)
Table 5.Similarity matrix (above diagonal) of six populations based on RAPD and genetic distances (below diagonal)
Clustering of E. pratense, using the NJ algorithm, was performed based on the matrix of calculated distances (Fig. 2). Six populations of E. pratense were well separated each other. The phylogenic tree showed two distinct groups; Yecheon and Sancheong clade and the other populations.
Fig. 2.A phenogram showing the genetic relationships among six populations of E. pratense based on RAPD analysis. Symbols are shown in Table 1.
Discussion
Technological advances, especially in the area of biochemical genetics, have also contributed to the increased interest in plant populations [5]. For example, Hamrick et al. [7] demonstrated that species which were widespread, long lived, primarily outcrossed by wind pollination maintained higher levels of intrapopulation genetic variation than species with other combinations of these characteristics.
Genetic diversity of Korean E. pratense is comparable with other species, although the use of different methods (e.g., isozyme [co-dominant marker] and RAPD [dominant marker], the number of loci, populations sampled, and the enzyme systems studied) may preclude meaningful direct comparisons. Genetic diversity in E. pratense is low in comparison that of most plant species. For example, the genetic diversity of Korean E. pratense at the species level (mean HES = 0.064) is lower than that of selfing breeding system (0.124) or the mode of sexual and asexual reproduction (0.138), temperate- zone species (0.146), sexual reproduction (0.151), and species with widespread geographic ranges of plant species (0.202) [6]. The same trend is observed at the other genetic parameters.
The relatively low level of genetic variation found in E. pratense is consistent with several aspects of its biology. First, the breeding system of E. prolifera has an important role in genetic variability. Predominantly asexual reproduction species tend to have less genetic diversity overall and to maintain less variation within their species than species with higher proportion of sexual reproduction species [6, 7]. Equisetum species have a remarkable ability to reproduce vegetative [8]. This helps to compensate for the inefficiency of spore reproduction. The fertile and sterile stems are dissimilar. Fertile stems are rare, unbranched at first and later develop many whorls of branches. Fertile stems grow at first without chlorophyll. Becoming green and growing branches after spores are shed. Sterile stems are mostly single. First branch segment is not longer than adjacent stem sheath. Second, high genetic diversity is associated with the species′ colonizing success [6]. Korean E. pratense do not have maintained a considerable amount of variation during the colonization process despite being mostly distribution of East Asia. Korean species are almost located in marginal of north limitation of growth. During spread, many individuals lost their comrade and gene pool of natural selection.
Although we did not analyze further subdivision of a local population, we may infer that RAPD variation that resided mainly within E. pratense species is maintained in patchily distributed subpopulations or demes, either by random drift of neutral alleles or micro- environmental selection for adaptive alleles [19].
However, no great local differentiation of RAPD variation of cultivated populations was observed. Gene flow between species was not relatively great. The estimated Nm was 0.870. However gene flow (Nm) among cultivated populations was high (Nm =2.184). Hence, we can expect weak or low gene flow. The movement of plants may have results in high gene flow chance and little spatial genetic differentiation.
In a phenetic tree based on RAPD variability, the position of the species in the NJ tree and their geographical position almost completely matched in the Korean species (Fig. 2). Six populations showed a close relationship between their phenetic and geographical positions. The uneven distribution of locality specific bands could be explained by isolation- by-distance. Thus, RAPD markers are very effective in classifying natural populations of E. pratense in Korea.
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