Cent. Eur. J. Biol. • 3(4) • 2008 • 442–450
DOI: 10.2478/s11535-008-0033-6
Central European Journal of Biology
Genetic structure of the Anthyllis vulneraria L. s. l.
species complex in Estonia based on AFLPs
Research Article
Egle Köster1*, Elena Bitocchi2, Roberto Papa2, Silvia Pihu1
1 Institute of Ecology and Earth Sciences, University of Tartu,
51005 Tartu, Estonia
2 Faculty of Agriculture, Agricultural University of Marche,
60131 Ancona, Italy
Received 3 December 2007; Accepted 29 May 2008
Abstract: Anthyllis vulneraria L. (Fabaceae) s. lato includes many cryptic taxa, ranging from 25 to 60 subspecies according to different authors. The delimitation of intraspeciic taxa of A. vulneraria s. lato has always been complicated and inconsistent. Different data sets
(multivariate analyses of morphological variation, allozymes, chloroplast SSRs and ITS) have not resolved the existing problem with
distinguishing some subspecies. We used the ampliied fragment length polymorphism (AFLP) analysis to describe the differentiation
in this species complex and to characterize variation on a geographic scale. Some correlation was found between genetic variability
and geographic distribution (western-eastern directional variation), but AFLP data analysis did not reveal clear intraspeciic structure of
the seven analysed taxa. The analysed specimens did not comprise groups correlated with the subspecies.
Keywords: Anthyllis vulneraria • AFLP • Geographical pattern • Intraspeciic molecular variance
© Versita Warsaw and Springer-Verlag Berlin Heidelberg.
1. Introduction
The genus Anthyllis belongs to the tribe Loteae and
family Fabaceae and is closely related to the genus
Hymenocarpus [1-3]. The exact number of Anthyllis
species is controversial and depends on the interpretation
of their morphological-geographical boundaries with
respect to active speciation and hybridisation [4]. The
genus is considered to range from 25 [5] to 60 species
[6]. Although some species in the genus are well deined
and generally accepted, there are many cryptic forms
that have been the subject of different interpretations.
There are two schools of thought with respect to the
taxonomy of the genus Anthyllis. The irst, most used
in the area of the former Soviet Union, distinguishes
numerous sibling species of Anthyllis vulneraria s. l.
[6,7]. The second system, prevalent in most of Europe,
recognises 18 European species [5,8-10] and some
species of the irst school are classiied as subspecies
and varieties of Anthyllis vulneraria s. l. Cullen [5]
divided A. vulneraria s. l. into three major groups: subsp.
vulneraria, subsp. maritima and subsp. polyphylla,
which also includes all the seven taxa investigated in
this paper.
Anthyllis vulneraria L. s. l. occurs from the Volga
River to England and from Northern Europe to the
Mediterranean [11]. It has also been introduced into
North America and New Zealand [12].
A few morphological characteristics in different
keys and loras distinguish these taxa. Bicoloured
rufous calyx teeth demarcate subsp. vulneraria, var.
coccinea, A. x baltica and A. x colorata from the other
four taxa, which have concolorous, green calyces.
Another characteristic that is reasonably easy to detect
is the disposition of hair on the stem and petiole. The
subspecies polyphylla and A. x colorata have patent
hairs on the stems and petioles, whereas the other taxa
have appressed hairs [5,8,9,13-15]. The subspecies
maritima can be distinguished from the other taxa by
concolorous calyces, sericeous calyx pubescence
and some inlorescences with a few lowers, which
are sometimes not fully developed [13,14,16]. Long
peduncles also characterize inlorescences of this
species. The subspecies arenaria has well-developed
* E-mail: egle.koster@ut.ee
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inlorescences that are sessile [14,15]. Branches of
this species form an acute angle with the stem [16].
A. vulneraria var. coccinea is most readily distinguished
from the other taxa by its red–coloured corollas [5,13-15].
Anthyllis x baltica has some undeveloped inlorescences
on the axilla, as well as subsp. maritima [14,16].
Anthyllis vulneraria subsp. vulneraria has unbranched
stems and mainly apical inlorescences [7,14,15]. There
are also many infrequently used characteristics in other
studies [5,13,17-19; Akulova, unpublished data]. These
seven taxa can, according to the keys and loras, be well
distinguished, yet individual plants of genus Anthyllis in
natural stands are dificult to identify.
The morphological variation and taxonomic continuum
of the eight sibling species of A. vulneraria s. l. were
analysed previously [20]. Most of the characteristics
analysed were statistically signiicant in species
discrimination. The results also showed that the Anthyllis
species are morphologically rather indistinct in natural
populations. Analysis supported the distinction of four
groups of taxa within the species Anthyllis vulneraria s. l.,
which could be named as vulneraria, coccinea, maritima
and macrocephala [20].
Kalinowski et al. [21,22] analysed the isoenzymatic
variability of A. vulneraria, s. l. populations in Poland
to determine whether there exists any differentiation
between populations of inland and coastal areas.
Different methods of multivariate statistical analysis
all conirmed the differences between populations
depending on geographic distance according to
isoenzyme data.
Molecular phylogeny of the genus was studied
based on the sequences of the internal transcribed
spacers ITS1 and ITS2 of the nuclear ribosomal DNA
of ten Anthyllis species, including eleven subspecies of
A. vulneraria and three subspecies of A. montana [23].
Additionally, the polymorphic chloroplast SSRs were
used to quantify the genetic variation of Anthyllis. ITS
sequences discriminate between some subspecies
of A. vulneraria, but this genetic differentiation is
inconsistent with taxonomic delimitation, based on
morphological characters. cpSSRs showed some minor
differences within A. vulneraria. These results suggest
that the classiication of the subspecies of A. vulneraria
should be revised according to their phylogenetic
relationships [23].
Kropf et al. [24] investigated the ITS regions of nuclear
ribosomal DNA by sequencing multiple accessions of
Anthyllis montana L. and some closely related taxa. The
ITS phylogeny implied a western Mediterranean origin
followed by an eastward migration [24]. In addition,
they analysed AFLP from 71 individuals of A. montana
and revealed a major genetic (west/east) subdivision,
probably caused by the massive glaciations of the Alps
during the last glacial period [24].
Honnay et al. [25] studied habitat fragmentation
effects on the population genetic structure of
Anthyllis vulneraria in the Viroin Valley in southern
Belgium. Their data show that the consequences of
habitat fragmentation for genetic differentiation and
diversity of A. vulneraria are moderately minor. These
results can be conirmed by the fact that the historical
seed exchange levels are quite high among fragments
through the agency of grazing and roaming livestock [25].
The results of different molecular analysis of
A. vulneraria s. lato are quite contentious [21-23]. Here
we present a new molecular study of A. vulneraria s. l.
In order to address questions of intraspeciic genetic
variability of taxa and the role of geographical isolation,
ampliied fragment length polymorphism (AFLP) markers
were analysed.
The study’s objectives were: (i) to investigate the level
of AFLP variation between and within seven intraspeciic
taxa of A. vulneraria s. l. in Estonia and (ii) to quantify
the genetic differences of the taxa between four regions
of contrasting edaphic and climatic conditions.
2. Experimental Procedures
2.1. Taxa, study sites and plant materials
We
investigated
seven
taxa
belonging
to
A. vulneraria s. lato: (A. vulneraria subsp. arenaria
Rupr., A. vulneraria var. coccinea L., A. vulneraria subsp.
polyphylla (DC.) Nyman, A. vulneraria subsp. maritima
(Schweigg) A. et G. and A. vulneraria subsp. vulneraria
L., A. x colorata Juz. (A. vulneraria subsp. vulneraria
x A. vulneraria subsp. polyphylla), A. x baltica Juz.
(A. vulneraria subsp. vulneraria x A. vulneraria subsp.
maritima) [5,9]. Anthyllis x baltica is considered to be
endemic to the Baltic region and A. x colorata endemic
to Estonia [6]. One more hybrid taxon A. x polyphylloides
(A. vulneraria subsp. polyphylla x A. vulneraria subsp.
arenaria) is found from Estonia [6], but it was not found
during our collecting period.
Estonian habitats are similar to those in Central and
Southern Sweden, where several varieties of Anthyllis
have been described and where populations of Anthyllis
occur typically as hybrid complexes [26].
To analyse intraspeciic genetic variation of these
taxa, 58 specimens from 4 regions in Estonia were
collected and included in AFLP analyses (Table 1).
Regions were deined to analyse the genetic
differentiation on a geographic scale (Table 1,2).
According to the loristic division of Europe, Estonia
is divided into two main provinces: Western Estonia
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Genetic structure of the Anthyllis vulneraria L. s. l.
species complex in Estonia based on AFLPs
N°
Sample N°
taxon abbreviation
A. vulneraria
region
30
35
mari
ssp. maritima
East
1
1
cocc
var. coccinea
Islands
31
36
mari
ssp. maritima
East
2
3
vuln
ssp. vulneraria
Islands
32
37
aren
ssp. arenaria
East
3
4
vuln
ssp. vulneraria
Islands
33
40
aren
ssp. arenaria
West
4
5
cocc
var. coccinea
Islands
34
41
colo
x colorata
West
5
6
cocc
var. coccinea
Islands
35
42
colo
x colorata
West
6
8
vuln
ssp. vulneraria
Islands
36
43
balt
x baltica
West
7
9
mari
ssp. maritima
Islands
37
44
balt
x baltica
West
8
10
mari
ssp. maritima
Islands
38
45
mari
ssp. maritima
West
9
11
balt
x baltica
Islands
39
46
mari
ssp. maritima
West
10
12
balt
x baltica
Islands
40
47
balt
x baltica
West
11
13
balt
x baltica
Islands
41
48
balt
x baltica
West
12
14
balt
x baltica
Islands
42
49
cocc
var. coccinea
West
13
15
cocc
var. coccinea
Islands
43
50
cocc
var. coccinea
West
14
16
cocc
var. coccinea
Islands
44
51
vuln
ssp. vulneraria
West
15
17
vuln
ssp. vulneraria
Islands
45
52
vuln
ssp. vulneraria
West
16
18
vuln
ssp. vulneraria
Islands
46
53
colo
x colorata
North
17
20
vuln
ssp. vulneraria
Islands
47
54
colo
x colorata
North
18
21
vuln
ssp. vulneraria
Islands
48
55
colo
x colorata
North
19
23
cocc
var. coccinea
Islands
49
57
poly
ssp. polyphylla
North
20
24
cocc
var. coccinea
Islands
50
58
poly
ssp. polyphylla
North
21
25
aren
ssp. arenaria
Islands
51
59
colo
x colorata
North
22
26
aren
ssp. arenaria
Islands
52
60
colo
x colorata
North
23
27
poly
ssp. polyphylla
East
53
61
poly
ssp. polyphylla
North
24
28
poly
ssp. polyphylla
East
54
62
poly
ssp. polyphylla
North
25
29
aren
ssp. arenaria
East
55
63
poly
ssp. polyphylla
North
26
30
aren
ssp. arenaria
East
56
64
poly
ssp. polyphylla
North
27
32
colo
x colorata
East
57
65
colo
x colorata
North
28
33
vuln
ssp. vulneraria
East
58
66
colo
x colorata
North
29
34
vuln
ssp. vulneraria
East
Table 1.
Materials of Anthyllis vulneraria s. l. used in AFLP analysis.
Habitat
Bedrock
Climate
Isolation
Floristic province
North
calcareous
continental
mainland
Eastern European
West
calcareous
marine
mainland
Middle European
East
sandstone
continental
mainland
Eastern European
Islands
calcareous
marine
isolated
Middle European
Table 2.
Characters describing four regions used in analysis [27,28].
belongs to the Middle European province and Eastern
Estonia is a part of Eastern European province. The
division between these two provinces bisects Estonia
around 25°30´ N [27]. The other division of Estonia is
characterized by bedrock. The borderline between
limestone and sandstone is situated between 58°00´E
(in Western Estonia) and 58°45´E (in Eastern Estonia).
Estonian island area is characterised by marine climatic
conditions and limestone bedrock and is considered
separately from Western Estonia because of the
isolation from the mainland [28]. Continental climatic
conditions and sandstone bedrock describing Eastern
Estonia and Northern Estonia differ from the latter by
limestone bedrock [27,28] (Table 2).
Leaf material was collected in summer 2004.
The leaves were dried in silica gel and crushed in a
MM300 Mixer Mill (QIAGEN GmbH, Hilden, Germany)
with stainless-steel beads. DNA was extracted using
QIAGEN DNeasy 96 Plant Kit, to maintain the quality of
DNA as high as possible.
The genomic DNA concentration for each DNA
sample was determined on agarose gel by comparison
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with standardized DNA 25, 50, 100 and 150 ng/µl.
The amount of DNA used in further analysis was
adjusted accordingly. In addition, DNA of two species
from Fabaceae family Lotus japonicus and Robinia
pseudacacia was extracted and analysed with AFLP
technique, and used as outgroups.
can be calculated using the equation:
IJ = J XY / J X JY ,
where X and Y are populations [33]. For randomly mating
diploid populations (X and Y), Nei’s genetic distance (D)
can be described as:
D = - ln M XY / M X MY ,
2.2. AFLP analysis
The DNA ingerprinting technique called AFLP, based on
the selective PCR ampliication of restriction fragments
from a total digest of genomic DNA [29], can be a
powerful technique and has been used previously by
Kropf et al. [24] on A. montana and by Honnay et al. [25]
on A. vulneraria. 200 ng of genomic DNA was digested
with EcoRI and MseI, and double-stranded EcoRI and
MseI adapters were ligated to the ends of the fragments
[29]. In the following two-step ampliication, primers with
one selective base (E+0, M+A) were used. In the last
ampliication step primer combinations: A14/P06, A05/
P09 and C15/P13 were used.
The
primer
sequences
used
were:
E+0:
5´
GTAGACTGCGTACCAATTC
3´;
M+1:
5´
GACGATGAGTCCTGAGTAAA
3´;
E+2: E+0+TC (A14), E+0+CA (A05), E+0+TG (C15);
M+3: M+1+CC (P06), M+1+GA (P09), M+1+TA (P13).
Selective ampliication products were separated on
6% polyacrylamide gels (40% Acrylamide/Bisacrylamide,
buffer TBE 1X and urea). Gels were run for 2 h on
Genomix SC System (Beckman, Paulo Alto, CA, USA).
Run parameters were: temperature 50°C, voltage 3000
V and power 100 W.
2.3. Data analyses
Fluorescent fragments were scored on gels by visual
observation. Each marker was coded, as 1 or 0 whether
present or absent in an individual, to form a binary data
matrix.
Total genetic diversity was partitioned among
regions deined as populations and the seven taxa of
A. vulneraria s. l. by carrying out an analysis of molecular
variance (AMOVA) based on pairwise genetic distances
[30] using Arlequin [31]. Allele frequencies and expected
heterozygosity across the total dataset were used to
calculate Nei’s [32] gene diversity (HT), which Lowe
et al. [33] deined as:
i =K
HT = 1- å pi2
,
i =1
where p is the mean frequency of the ith of K alleles
across all populations surveyed.
Regional genetic variation was estimated on the
basis of Nei’s [34] genetic identity and genetic distance
with POPGENE [35]. The identity of genes (IJ) for a locus
where MXY, MX and MY are the arithmetic means of
JXY, JX and JY, respectively. JXY is the probability that
an allele drawn from population X is the same as that
from population Y. JX is the probability that two alleles
drawn randomly from population X are the same. JY is
the probability that two alleles created randomly from
population Y are the same. A dendrogram was created
based on Nei’s genetic distances using unweighted pair
group method with arithmetic mean (UPGMA).
Genetic variation of analyzed material was estimated
using TREECON [36] by analysis of neighbour joining
and simple matching. Bootstrap values were also
calculated and added to the dendrogram if reaching
over 25%. Neighbour-joining analysis was based on the
genetic distances of Nei and Li [37].
3. Results
The three AFLP primer combinations resulted in a
dataset containing information about 131 AFLP loci
for 58 samples and two outgroup specimens. Genetic
characteristics obtained with AMOVA analysis for the
seven subspecies and four regions are presented in
Tables 3 and 4.
According to FST only populations of the West and
North did not differ signiicantly. All other p-levels of FST
for regions were below 0.05 (Table 2).
FST values of taxa were signiicant for distinguishing
A. vulneraria subsp. vulneraria from A. vulneraria subsp.
maritima, A. x baltica from A. x colorata. The FST value
of the latter taxon was signiicantly different from the
values of A. vulneraria subsp. maritima and A. vulneraria
subsp. polyphylla. A. vulneraria var. coccinea could also
be differentiated from A. vulneraria subsp. arenaria and
A. vulneraria subsp. baltica (Table 4).
Analysis of genetic variation based on Nei’s (34)
genetic distances supported the outcome of AMOVA
analyses of specimens from the four regions. Similar
to the preceding results the highest similarity exists
between the North and the West (Figure 1). UPGMA
dendrogram (Figure 1) accentuates differences between
Island and Eastern regions of Estonia. Still values of
genetic identity are very high and genetic distances
between regions are inconsiderable (Table 5).
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Genetic structure of the Anthyllis vulneraria L. s. l.
species complex in Estonia based on AFLPs
Population
Sample size
No p-l
% p-l
h
FST
FST p-values
Islands
East
West
Islands
22
70
53.44
0.18
0.049
0
East
10
60
45.80
0.15
0.060
+
0
West
13
59
45.04
0.15
0.062
+
+
0
13
64
48.85
0.18
0.051
+
+
–
North
Table 3.
North
0
Characteristics of four regional subsets of Anthyllis vulneraria s. l. based on AFLP data. (No p-l – number of polymorphic loci, % p-l – percentage of polymorphic loci, h – mean value of Nei’s gene diversity for loci, FST – Fixation index, (signiicance levels of FST p<=0,05 are
marked with + and p>0,05 are marked with –).
Taxon
Sample size
No p-l
% p-l
h
FST
FST p-values
Aren
6
52
39.69
0.15
0.043
Balt
8
51
38.93
0.14
0.047
–
0
Cocc
9
54
41.22
0.16
0.031
+
+
0
Colo
10
59
45.04
0.17
0.027
–
–
–
0
Mari
6
46
35.11
0.13
0.056
–
–
–
+
0
Poly
8
61
46.56
0.18
0.022
–
–
–
+
–
0
Vuln
11
69
52.67
0.18
0.012
–
+
–
+
+
–
Aren
Table 4.
Balt
Cocc
Colo
Mari
Poly
Vuln
0
0
Characteristics of seven taxa of Anthyllis vulneraria s. l. based on AFLP data. (No p-l – number of polymorphic loci, % p-l – percentage of
polymorphic loci, h – mean value of Nei’s gene diversity for loci, FST – Fixation index, (signiicance levels of FST p<=0,05 are marked with
+ and p>0,05 are marked with –), (Abbreviations of taxa from Table 1).
4. Discussion
Figure 1.
UPGMA dendrogram of Anthyllis specimens from four regions of Estonia based on Nei’s (1972) genetic distances
(distances between nodes given on branches).
Pop ID
Islands
East
West
North
Islands
X
0.96
0.96
0.96
East
0.05
X
0.96
0.94
West
0.04
0.04
X
0.97
North
0.04
0.06
0.03
X
Table 5.
Nei’s (1972) original measures of genetic identity (upper
part of table) and genetic distance (lower part of table) of
populations from four regions in Estonia.
A phenogram of all AFLP phenotypes, based on a
simple matching technique using the UPGMA clustering
method (Figure 2) comprises many unresolved clusters.
All of the larger clusters are weakly supported by
bootstrap analysis and any regional or taxonomic groups
could not be distinguished.
The same tendency can be seen on the neighbourjoining tree calculated from the genetic distances of
Nei and Li [37]. All taxa, populations and regions were
disorderly located and some clusters from the same
region were composed of only two or three specimens
(Figure 3).
P-values of ixation indexes are mostly signiicant except
between specimens from the Islands and the Northern
Estonia (see Table 3). That follows the proposition that
there exists west/east directional variability in the lora
and vegetation of Estonia [27,28,38]. In intraspeciic
analysis FST measures were low, reaching maximally up
to 0.056 for A. vulneraria subsp. maritima. The genetic
divergence was, despite these results, signiicant
(p-value<0.05) for several pairs of taxa (Table 4).
Nevertheless, low values of FST and low mean values of
Nei’s gene diversity refer to nearly panmictic populations
(see Table 4). The value of Nei’s gene diversity can be at
maximum 1.0 [33]. In our case the mean value for each
analysed region and taxon was less than 0.2 that refers
to the small probability that randomly chosen copies of
the same gene are from different alleles (see Tables 3
and 4).
The variability of analysed populations, according to
the UPGMA dendrogram (Figure 1), shows the westerneastern directional trend, which is probably caused by
different ecological conditions (climate and bedrock
differences) occurring in the Western and the Eastern
Estonia [27,28]. This interregional differentiation could
be interpreted as ecotypes, but further investigation is
needed.
Evidence of western-eastern directional variation in
A. vulneraria s. l. populations found in Estonia differs
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E. Köster et al.
Figure 2.
UPGMA dendrogram [based on simple matching method] of 58 AFLP phenotypes, plus two outgroup accessions. Lotus - Lotus japonicus, Robinia – Robinia pseudacacia. Individuals are denoted by taxon abbreviation (cf. Table 1) and followed by the regional subset (cf.
Figure 1) and sample number. Bootstrap values over 25% given on branches.
from the results obtained by Kropf and others [24] in
A. montana in the Alps. It also differs from the work of
Honnay and co-authors [25], who found no effects of
the historical landscape coniguration on the genetic
diversity of the populations of A. vulneraria.
The UPGMA dendrogram based on Nei’s genetic
distances (Figure 2) clearly demonstrates that
the analysed specimens did not comprise groups
correlated with the subspecies. AFLP results also do
not support distinguishing of the four subgroups within
A. vulneraria s. l. in Estonia, based on morphology [20].
Our data strongly support the results of Nanni et al.
[23], who concluded from analysis of ITS sequences that
different subspecies of A. vulneraria from a different origin
and geographical distribution did not show signiicant
differences in sequences. They explained these results
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Genetic structure of the Anthyllis vulneraria L. s. l.
species complex in Estonia based on AFLPs
with a complex mating system of A. vulneraria s. l. [23].
In conclusion, AFLP analysis can be used to
describe the differentiation in complicated species, but
our results did not reveal clear intraspeciic structure
of A. vulneraria s. l. species complex. The analysed
specimens did not comprise groups correlated with the
subspecies. Still, some correlation was found between
genetic variability and geographic distribution (westerneastern directional variation).
Acknowledgements
Our greatest gratitude belongs to the working group
of plant genetics at Agricultural University of Marche,
whose advice about laboratory work were most helpful.
We also thank Tatjana Oja and Meelis Pärtel for their
improvements to the manuscript and Marcus Denton for
language corrections. The Estonian Science Foundation
grant nr 5815 and Archimedes Foundation supported
this work.
Figure 3.
Neighbour-joining tree, based on Nei & Li (1979) genetic
distances of 58 multilocus AFLP phenotypes of Anthyllis vulneraria s. lato from four regional subsets, plus two
outgroup accessions. Lotus - Lotus japonicus, Robinia
– Robinia pseudacacia. Individuals are denoted by taxon
abbreviation (cf. Table 1) and followed by the regional
subset (cf. Figure 1) and sample number.
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