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Full Length
Research
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Genetic structure of Potentilla acaulis (Rosaceae)
populations based on randomly amplified polymorphic DNA (RAPD)
in habitat fragmented grassland of northern China
Jia Mi1,2,
Shuhua Zheng1, Minyun Xu1,
Ding Huang1 and Kun Wang1,3*
1Department
of Grassland Science, China Agricultural University, Beijing
100193, China.
2Institute
of Botany, Chinese Academy of Sciences, Beijing 100093,
China.
3National
Grassland Ecosystem Field Station, Guyuan 076550, China.
*Corresponding author. E-mail:
wangkun@cau.edu.cn Tel/Fax: +86 10 62733338.
Abbreviations:
AMOVA, Analysis of molecular variance; NGEFS,
National Grassland Ecosystem Field Station; RAPD,
random amplified polymorphic DNA; PCR, Polymerase
chain reaction; TAE,
tris-acetate-ethylenediaminetetraacetic acid; UV,
ultraviolet; PCoA, principal coordinate analysis;
PIC, polymorphism information content.
Accepted
8 April, 2011
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Abstract |
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Potentilla
acaulis Linn. (Rosaceae)
is an important companion species in central Asia steppe.
However, no information was so far detected about genetic
diversity of this species. In recent years, effects of habitat
fragmentation have become central issues in conservation
genetics. In order to evaluate the genetic structure and to
measure the effects of isolation caused by habitat
fragmentation, the randomly amplified polymorphic DNA (RAPD)
data were generated and analyzed from 110 samples collected from
seven sites of local populations of P. acaulis
distributed in northern China. Eleven RAPD primers produced a
total of 61 unambiguous bands, of which 51 bands (83.6%) were
polymorphic. A high level of genetic diversity was recognized
within the populations of P. acaulis: 34.4 to 68.9% of
polymorphic bands observed in the given population. Analysis of
molecular variance (AMOVA) showed that, genetic variability was
greater within populations (83.4%) than among populations within
regions (12.0%) or among regions (4.6%) investigated in this
study. In addition, a low degree of genetic differentiation (ΦST=
0.17) was detected among all populations, which indicated that
isolation had weak effects on genetic structure. The statistical
analysis also revealed that, the genetic distances of P.
acaulis among different populations were not significantly
related with their geographic distances. Therefore, P.
acaulis should be treated as a separate species that needs
more attention from a conservation point of view and it should
be considered as a conservation strategy to increasing gene
exchange among isolated populations.
Key words:
Potentilla acaulis Linn. (Rosaceae), steppe, habitat
fragmentation, genetic diversity. |
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Introduction |
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Habitat
fragmentation associated with land use and grazing activities has
long been concerned among ecologists and agriculturists. Some
studies have indicated that, land use is the main factor of
habitat deterioration and fragmentation, while these degraded
tendencies are accelerated in recent years (Du et al., 2004; League
and Veblen, 2006; Li et al., 2007; Lioubimtseva and Henebry, 2009).
However, in most of the problems involved in habitat fragmentation,
the population isolation has become ineluctable and urgent
especially for the grassland conservation. Isolated plant
populations have a great potential in the loss of genetic diversity
and suffer much from related injurious effects on fitness (Reed and
Frankham, 2003; Pluess and Stöcklin, 2004). Consequently, genetic
effects induced by habitat fragmentation have been widely studied
in conservation genetics (Washitani et al., 2005).
With the
increasing pressure of cultivating cropland and grazing livestock in
pastoral area, enlarged amounts of endemic species are enlarged and
considered to encounter dual menaces from animals and human.
Moreover, corresponding strategy often set up priority on the
conservation of species which occupy the larger part of the
population distribution on their own territory.
In recent years,
the research in respect to genetic structure of central Asian steppe
species was only focused on the studies about some perennial shrubs
from desert lowlands (Xu et al., 2003; Ge et al., 2005; Sheng et
al., 2005) or two naturally fragmented endemic herbs of the uplands
of Tibet (Chen et al., 2005; Xia et al., 2005). In our study, an
explorative research was carried out on the northern China endemic
Potentilla acaulis, which originally grows in semiarid or
sandy land, hilly region and rocky upland habitats. Therefore, it
has becomes an important companion species of steppe to soil and
water conservation in degraded grassland. There were mainly three
objectives in our study on P. acaulis: (1) genetic diversity
distribution of intra- or inter- populations; (2) influence degree
of fragmentation on population genetic traits and the correlation
between genetic distance and geographical distance; (3) setting up
the basis of conservation strategies.
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Materials and
Methods |
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Plant and
sample sites
P. acaulis,
as a perennial, xerophilous, tufted frutescent and stoloniferous
herbaceous plant species with digitate ternate compound leaves, is
an important species of central Asia steppe and mainly distributes
in sandy arid and semiarid steppe. Inflorescences are abundantly
produced from April to May and seeds maturation is completed during
June, even in drought years, each tuft 0 to 20 bearing branches and
each bearing branch grew out 2 to 5 flowers (Liu et al., 2007). The
plants are anemophilous or anthophilous but self-compatible and
their seeds have no special dispersal adaptations and germinate with
slight testa restrictive dormancy (Zhao et al., 2010).
The sample sites
are located on the National Grassland Ecosystem Field Station (NGEFS)
in northern China (41°46'05.15"N, 115°40'44.45"E), which lies in the
1384 m altitude and has a total annual precipitation of 300 to 400
mm. Detailed information about the vegetation were listed in the
study by Huang et al. (2007). In the study sites, we observed that
the density of crawling P. acaulis on the individuals ranged
about 30 to 185 ramets/m2 and the average height of
ramets was below 3 cm.
Collection of
plant materials
Seven 1×1 km
plots were established within a 14×18 km P. acaulis
distribution area (Figure 1). In the study area, a total of 110
individuals of P. acaulis were randomly selected from the
seven plots. The locations of all the individuals of P. acaulis
were determined by a survey laser instrument (Criterion 300, laser
technology). Within the seven plots investigated, 110 individuals of
P. acaulis were identified. The shapes and dimensions
of those measured and P. acaulis vegetation within each
individual were mapped on graph papers. P. acaulis leaf
samples were collected from all those selected from the seven
plots investigated. Then, the leaf samples were desiccated using
silica gel and stored at room temperature before analysis.
DNA extraction
and random amplified polymorphic DNA (RAPD) analysis
Total DNA of each
sample was extracted from about 20 mg of silica-gel-dried P.
acaulis leaves with a standard kit (TaKaRa; universal genomic
DNA extraction kit, Tokyo, Japan). Sixty primers were screened for
polymorphism, readability and reproducibility (Sangon, random primer
kit, Shanghai, China). Eleven primers were selected out as the final
analysis primers (Table 1). DNA was amplified in reaction volumes of
25 μl containing 1 μl DNA (10 ng/μl), 2 μl of primer (Invitrogen), 2
μl of each dNTP (TaKaRa), 2 μl 10×buffer (TaKaRa), 2 μl Taq
polymerase (0.5 U/μl, TaKaRa) and 16 μl H2O. Polymerase
chain reaction (PCR) of all samples was simultaneously carried out
in a thermocycler (PTC-0200, Bio-Rad; MJ, California, USA). The
thermocycler was programmed for one cycle of 4 min at 94°C, followed
by 36 cycles of 30 s at 94°C, 45 s at 38°C and 120 s at 72°C with a
final cycle of 7 min at 72°C.
DNA fragments
were determined by the electrophoresis in 1% agarose (Sigma, St.
Louis, MO) gels with a tris-acetate-ethylenediaminetetraacetic acid
(TAE) buffer system at 110 V for 2 h and stained with ethidium
bromide. DNA bands were then visualized using ultraviolet (UV) light
(Gel Doc 2000, Bio-Rad), only bands in the range between 240 and
2000 bp were scored.
Statistical
analysis
Reliable and
reproducible random amplified polymorphic DNA (RAPD) bands were
converted into a raw data matrix with 1 (present) or 0 (absent). The
weak and poorly defined bands with no reproducibility were ignored
in the analysis and only polymorphic bands were used in the further
statistical analysis. Because RAPDs are dominant markers, the
standard measure of genetic diversity can only be estimated when the
populations are presumed to abide by Hardy-Weinberg equilibrium.
When we did not explicitly test whether the study populations abided
by the above equilibrium, we based the analysis on simple measures
of the multivariate diversity, which required no assumptions on the
genetic structure. Similarities were calculated using Jaccard’s
coefficient (Jaccard, 1908) as shown below:
Sij =
a/(a+b+c) (1)
Where Sij
is the similarity between two individuals; i and j,
refers to shared bands, b refers to bands exclusive to sample;
i, and c refers to bands exclusive to sample j.
Values were
transformed to a distance measure by subtracting them from one (Legendre
and Legendre, 1998). The distance matrix was used to calculate mean
distance among individuals, as well as within and among populations.
Jaccard’s genetic distance was also used in ordination. A principal
coordinate analysis (PCoA) of all samples was carried out on square
root transformed distances as these were supposed to have metric
properties (Legendre and Legendre, 1998). Genetic diversity was
estimated by the Shannon index (H) (Lewontin, 1972):
(2)
Where k
is the number of RAPD bands produced with the respective primer
and pi is the frequency of the i-th
fragment.
The polymorphism
information content (PIC) for each RAPD marker was calculated with
the formula described by Roldán-Ruiz et al (2000):
PICi
= 2fi(1-fi)
(3)
Where PICi
is the polymorphic information content of marker; i,
fi the frequency of the marker bands which were
present; 1-fi represents the frequency of marker
bands which were absent.
Polymorphism
information content (PIC) values for dominant marker bands such as
RAPD markers have a maximum of 0.5 for fi= 0.5
(De-Riek et al., 2001).
The genetic
diversities among populations were quantified with the pairwise ФST,
calculated using ARLEQUIN version 2.0 (Excoffier et al., 2005). A ФST
value was calculated for each population pair, which is an analogous
measure to the fixation index (FST) (Excoffier et al.,
1992) and its significance is determined based on 1000 permutations.
ФST values were also used for indirect determination of
the effective number of migrants among populations (Excoffier et
al., 1992). Analysis of molecular variance (AMOVA) was based on the
nonparametric permutational approach (Excoffier et al., 1992) and on
pairwise squared Euclidean distances between RAPD phenotypes.
Relationship between genetic distance and geographical distance was
tested by Mantel’s test (Mantel, 1967). Simple bivariate
correlations were calculated with SPSS ver.13.0 (SPSS, 2005).
Table 1. Primers used in
this study and statistics for RAPD marks obtained for P. acaulis
populations.
|
Primer |
Nucleotide sequence(5’-3’) |
Total number of bands |
Number of polymorphic bands |
PIC |
|
A-02 |
TGCCGAGCTG |
5 |
4 |
0.48 |
|
A-03 |
AGTCAGCCAC |
3 |
2 |
0.35 |
|
A-04 |
AATCGGGCTG |
7 |
7 |
0.46 |
|
A-10 |
GTGATCGCAG |
5 |
5 |
0.47 |
|
A-18 |
AGGTGACCGT |
3 |
2 |
0.49 |
|
B-06 |
TGCTCTGCCC |
5 |
5 |
0.47 |
|
B-10 |
CTGCTGGGAC |
6 |
6 |
0.49 |
|
D-02 |
GGACCCAACC |
8 |
8 |
0.46 |
|
D-07 |
TTGGCACGGG |
6 |
4 |
0.33 |
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D-11 |
AGCGCCATTG |
6 |
2 |
0.37 |
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D-16 |
AGGGAGTAAG |
7 |
6 |
0.50 |
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Total |
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61 |
51
(83.61%) |
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RAPD, Random amplified polymorphic DNA; PIC, polymorphism
information content.
Table 2. Genetic
variation among populations of P. acaulis estimated with 11
RAPD primers.
|
Population |
Number of samples |
Polymorphic bands (%) |
Jaccard’s distance mean |
Shannon’s index (H) |
|
Pa1 |
11 |
63.93 |
0.075 |
0.365 |
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Pa2 |
25 |
68.85 |
0.042 |
0.328 |
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Pa3 |
13 |
57.38 |
0.052 |
0.284 |
|
Pa4 |
18 |
54.10 |
0.044 |
0.263 |
|
Pa5 |
14 |
45.90 |
0.062 |
0.227 |
|
Pa6 |
12 |
34.43 |
0.074 |
0.177 |
|
Pa7 |
11 |
49.18 |
0.045 |
0.256 |
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Total |
104* |
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Mean
(SE) |
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53.40
(4.36) |
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0.271 |
RAPD, Random amplified polymorphic DNA;*6 clonal individuals
represented in 110 samples (not analyzed).
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Results |
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Intra-population genetic structure
Random
amplified polymorphic DNA (RAPD) analysis of P. acaulis
was performed with 11 selected primers, which yielded 61
reliable bands, of which 51 bands were polymorphic (83.61%)
(Table 1). The 110 samples represented 104 RAPD phenotypes
and 6 clonal samples were found. Among the given
populations, 34.43% to 68.85% of all bands present were
polymorphic, in which the low figures were found in the
south-eastern (Pa6) and high in the north-western (Pa2). The
difference in genetic distance among samples from given
populations showed a small range to that found by the number
of polymorphic bands (0.042 to 0.075) and the Shannon index
showed more scattered values between 0.177 (Pa6) and 0.365
(Pa1) (Table 2).
Inter-population genetic differentiation
The
principal coordinate analysis provided evidence of an
inter-population genetic differentiation of P. acaulis
(Figure 2). The first and second axes were equally
important and respectively explained 23% and 19% of the
total variation among populations. Remote samples from the
Pa1, Pa3 and Pa6 were comparatively separated in the
ordination space, while samples from the other region
overlapped, although Pa7 was isolated from the other
populations by cropland (Figure 1).
All
values in the AMOVA, including Φ statistics for
each pairwise comparison, were significant (Table 3). The
highest variance was observed within populations (83%, P=
0.0001) and the variances among regions and among
populations within given regions are respectively, 5% (P=
0.0002) and 12% (P= 0.0001) (Table 3).
Correlation of geographical and genetic distances
Geographical distance alone could not explain the genetic
distance between populations, which was showed by the
pairwise values of genetic distances and geographical
distances (Table 4). Among all seven populations,
correlations between genetic and geographical distances were
nearly significant (R= 0.415, P= 0.0598) by the means of
Mantel tests. There was no correlation between the pairwise
ΦST values and the geographical distances (R=
0.273, P= 0.0762), however, the correlation between ΦST
values and genetic distances was highly significant R= 0.884
(P= 0.0006).

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Discussion |
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RAPD
polymorphisms and genetic diversity within populations
RAPD
analysis was found to provide a solution for detecting the
genomic diversities and structures in populations of P.
acaulis. The 104 different phenotypes among 110 plants
on 61 available fragments were investigated by using 11
RAPD
primers
(Table 1). The result that 6 clonal individuals represented
in 110 samples suggested that, P. acaulis was capable
of growing and reproducing clonally.
To
understand the reproduction strategies of P. acaulis,
it is essential to determine the relative success in
establishment from vegetative propagation and seeds. In
plants, the prevalence of vegetative reproduction often
resulted in local genetic uniformity, although some clonal
species sometimes exhibited a great intra-population genetic
differentiation sometimes (Ellstrand and Roose, 1987; Widén
et al., 1994). The results of our study showed that, a high
proportion of diversity was detected within populations
(83.39%) and the remainder part of the genetic diversity was
observed among populations (Table 3), which was similar with
other reports that estimated for desertification grassland
or desert in these areas tended to be lower from
northern
China and
Mongolia mountain endemics (Wesche et al., 2006). The
partition levels and partitions of genetic diversity within
and among populations in our study were comparable to those
obtained in several other studies based on RAPD of
long-lived and outcrossing clonal species (Kreher et al.,
2000; Nybom and Bartish, 2000; Albert et al., 2004).
Propagule
recruitment from genets of perennial clonal plants could
decrease genetic depletion within populations and there was
a kind of specific reproductive strategy in these plants
(Price and Marshall, 1999). In our study, the genetic
diversity of population revealed a high level. This was
probably related to vegetation reproduction of this species,
which appeared to prolong generation periods and lowered the
renewal ratio of population. As another result, the
genotypes of species did not easily lost, which would be
helpful for the maintenance of alleles (Auge et al., 2001).
However, compared with the non-clonal plants of similar
generation length, the clonal plants had less influence to
fragmentation (Kudoh et al., 2001).
Table 3. Summary
of the analysis of molecular variance (AMOVA) for P.
acaulis populations.
|
Level of
variation |
d.f. |
Sum of squares |
Variance
components |
Variation (%) |
Φ Statistics |
P- value |
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Among regions |
2 |
46.911 |
0.349 |
4.64 |
ΦCT =
0.046 |
0.0002 |
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Among
populations within regions |
4 |
81.462 |
0.901 |
11.97 |
ΦSC =
0.126 |
0.0001 |
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Within
populations |
97 |
608.751 |
6.276 |
83.39 |
ΦST =
0.166 |
0.0001 |
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Total |
103 |
737.125 |
7.526 |
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Significances based on 9999 permutations. d.f., Degree of
freedom.
Table 4. Pairwise
population matrix of geographical distance (km, above
diagonal) and pairwise ΦST values (below
diagonal).
|
Population |
Pa1 |
Pa2 |
Pa3 |
Pa4 |
Pa5 |
Pa6 |
Pa7 |
|
Pa1 |
|
5.3 |
5.5 |
12.6 |
17.7 |
24.0 |
15.2 |
|
Pa2 |
0.144** |
|
6.5 |
12.5 |
14.2 |
20.4 |
13.6 |
|
Pa3 |
0.154** |
0.074** |
|
7.2 |
13.3 |
19.6 |
15.7 |
|
Pa4 |
0.233** |
0.058** |
0.113** |
|
9.9 |
15.2 |
15.8 |
|
Pa5 |
0.239** |
0.125** |
0.169** |
0.141** |
|
6.4 |
16.6 |
|
Pa6 |
0.207** |
0.158** |
0.240** |
0.249** |
0.275** |
|
18.2 |
|
Pa7 |
0.190** |
0.082** |
0.136** |
0.117** |
0.178** |
0.137* |
|
**P= 0.0001; *P= 0.0034 based 9999 permutations.
Genetic differentiation among populations
A
relatively high proportion (12%) of
genetic differentiation was observed among populations
of P. acaulis (Table 3). However, in other studies,
the proportion was usually less than 5% for most plant
species (Jelinski and Cheliak, 1992; Chen and Song, 1998).
Genetic differentiation was known to attribute to the
inter-population gene flow, genetic drift and inbreeding
(Loveless and Hamrick, 1984). Genetic differentiation
identified by RAPD analysis reflected the complex events
involved in forms of dispersal (Bohonak, 1999). Isolation of
population weakened gene flow, which limited communication
of genetic information between populations and the effect of
genetic drift or inbreeding would act on random fixation of
alleles. Since the range of seed dispersal observed in our
P. acaulis population was limited, the gene transfer
might be deduced by pollen dispersal (Fore and Guttman,
1999).
Effects of isolation
We found
that the genetic structure was partly influenced by
geographical distances. Populations were distinct but not
fully separated (Figure 2). It must be pointed out that, Pa7
had overlapped with other populations even though Pa7 was
separated by croplands. This result confirmed that,
geographical isolation did not always affect genetic
diversity (Hogbin et al., 1998).
According
to Wright (1942), a positive correlation was detected
between genetic distance and geographical distance when gene
flow and genetic drift of populations reached equilibrium
(Wright, 1942; Hutchison and Templeton, 1999). Our results
of Mantel statistics showed that, genetic distance among
populations was not correlated with geographical distance
distinctly (R= 0.415, P= 0.0598), which might have resulted
from the gene flow was not a dominant factor during genetic
differentiation of species, especially in the moment when
the species are faced with a strong biological selection
against environmental change of habitat (Wright, 1951). The
same conclusion was drawn from the research of Agrostis
tenuis (Liu and Godt, 1983). Nevertheless, there were
also some different reports about relativity between genetic
distance and geographical distance in Eucalyptus crucis
and Gleditsia triacanthos (Sampson et al., 1988;
Schnabel and Hamrick, 1990). ΦST values based on
RAPD were deemed to be related to life form, species
breeding system and seed dispersal. An empirical value for
long-lived perennials was 0.25 and mean value evaluated from
species with a mixed breeding system showed 0.27, whereas
the value for dispersal of seeds by wind was 0.25 (Nybom and
Bartish, 2000). The phenomenon of low level of genetic
differentiation (ΦST= 0.17) was caused by one or
more factors of life history traits and it was a possible
reason why genetic differentiation degree of P. acaulis
population was less than other plant species in same area
(Wang et al., 2005; Sui et al., 2009).
Conservation implication
Genetic
exchange is extremely important to the maintenance of
genetic diversity and often relates to the reproductive
traits, such as allocation of reproductive biomass,
dispersal of pollen and seeds, mature period of propagule
(Reed and Frankham, 2003).
Increased
use of agricultural land and invasion by exotic species had
caused the fragmentation and destruction of population
habitats, as a result, some populations became smaller and
more isolated from each other than in the past (Chen, 2000).
The fact that populations of P. acaulis had survived
well till today suggests that they were not sensitive to the
activities of humans and their live stocks, though the
distribution extent of the populations has been partly
affected by croplands. In that case, some modes of grassland
management might be needed, which increased distribution
continuity of population and reserved at least some small
population as a kind of biology corridor.
The
fragmented species with isolated generations ordinarily
showed the adaptive traits which effectively maintained the
genetic diversity and exchange, such as perennial life
forms, amelioration of dispersal capacity or multiform
reproductive modes (Nybom and Bartish, 2000).
Therefore, further research should necessarily be made on
reproduction adaptability and fitness of population, which
would be useful in developing a conservation strategy.
Acknowledgements
This work
was supported by grants from China Ministry of Science and
Technology “973” project no. 2007CB106805. We would like to
thank Mr. Shounan Shen, who kindly provided the test site
and equipment support. We wish to thank Jin Wang and Li Lin
for aid in process of samples collection, Dr. Jing Shi from
the University of Tennessee for the advices of previous
version of this paper.
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