Agnieszka Popiela1, Andrzej Łysko2, Bożenna Białecka3, Magdalena Marta Bihun3, Gábor Sramkó4, Waldemar Staroń5, Anetta Wieczorek6, Attila Molnár V7. 1. Department of Botany and Nature Conservation, University of Szczecin, Szczecin, Poland. 2. Department of Environmental Protection and Management, Western Pomeranian University of Technology in Szczecin, Szczecin, Poland. 3. Molecular Biology and Biotechnology Center, University of Szczecin, Szczecin, Poland. 4. Department of Botany, MTA-DE 'Lendület' Evolutionary Phylogenomics Research Group, University of Debrecen, Debrecen, Hungary. 5. Institute of Physics, University of Szczecin, Szczecin, Poland. 6. Department of Ecology, University of Szczecin, Szczecin, Poland. 7. Department of Botany, University of Debrecen, Debrecen, Hungary.
Abstract
Elatine L. contains ca. 25 small, herbaceous, annual species distributed in ephemeral waters in both hemispheres. All species are amphibious and characterized by a high degree of morphological variability. The importance of seed morphology in Elatine taxonomy has been emphasized by many authors. The degree of seed curvature and seed coat reticulation have been traditionally considered very important in recognizing individual species of this genus. Seed morphometric characteristics of 10 Elatine species, including all European native taxa, are provided on the basis of material from two or three populations of each species. A total of 24-50 seeds were studied from each population, altogether 1,260 images were used for the morphometric study. In total, six parameters were measured from SEM pictures: object surface area, profile specific perimeter (object circuit), rectangle of the object (a) length, rectangle of the object (b) width, angle of the seed curvature, and number of pits in the seed coat counted in the middle row. Our study shows that the range of morphological variation of seeds in European species of Elatine is great, both between the species and the populations. Discrimination analysis showed that all six traits significantly differentiate the populations studied (λ = 0.001, p < 0.001), and the greatest contributions were "number of pits", "rectangle_a", and "the angle curvature". Multidimensional scaling based on a correlation matrix of Mahalanobis distance of the six features studied revealed the greatest similarity between the three populations of E. alsinastrum, E. macropoda, and E. hexandra. Regarding interspecific differences, a Kruskal-Wallis tests showed that, in many cases, lack of statistically significant differences between species relative to the studied seed traits. If distinction of species is only based on seeds, especially if only a few seeds are evaluated, the following species pairs can be easily confused: E. alsinastrum and E. orthosperma, E. hexandra and E. macropoda, E. campylosperma and E. hydropiper, as well and E. gussonei and E. hungarica. We found no diversity in seed coat micromorphology within pits that could have potential taxonomic importance. An identification key and descriptions of species are provided on the basis of seeds traits.
Elatine L. contains ca. 25 small, herbaceous, annual species distributed in ephemeral waters in both hemispheres. All species are amphibious and characterized by a high degree of morphological variability. The importance of seed morphology in Elatine taxonomy has been emphasized by many authors. The degree of seed curvature and seed coat reticulation have been traditionally considered very important in recognizing individual species of this genus. Seed morphometric characteristics of 10 Elatine species, including all European native taxa, are provided on the basis of material from two or three populations of each species. A total of 24-50 seeds were studied from each population, altogether 1,260 images were used for the morphometric study. In total, six parameters were measured from SEM pictures: object surface area, profile specific perimeter (object circuit), rectangle of the object (a) length, rectangle of the object (b) width, angle of the seed curvature, and number of pits in the seed coat counted in the middle row. Our study shows that the range of morphological variation of seeds in European species of Elatine is great, both between the species and the populations. Discrimination analysis showed that all six traits significantly differentiate the populations studied (λ = 0.001, p < 0.001), and the greatest contributions were "number of pits", "rectangle_a", and "the angle curvature". Multidimensional scaling based on a correlation matrix of Mahalanobis distance of the six features studied revealed the greatest similarity between the three populations of E. alsinastrum, E. macropoda, and E. hexandra. Regarding interspecific differences, a Kruskal-Wallis tests showed that, in many cases, lack of statistically significant differences between species relative to the studied seed traits. If distinction of species is only based on seeds, especially if only a few seeds are evaluated, the following species pairs can be easily confused: E. alsinastrum and E. orthosperma, E. hexandra and E. macropoda, E. campylosperma and E. hydropiper, as well and E. gussonei and E. hungarica. We found no diversity in seed coat micromorphology within pits that could have potential taxonomic importance. An identification key and descriptions of species are provided on the basis of seeds traits.
Elatine L. is one of the two genera in the Elatinaceae, a family in Malpighiales (Tucker, 1986; Davis & Chase, 2004), and contains ca. 15–25 ephemeral amphibious species (Heywood et al., 2007). To the present knowledge, ten native taxa occur in Europe; however, Flora Europea lists seven (Cook, 1968) and Euro+Med Plantbase nine native species (Uotila, 2009b). One taxon belongs to the subgenus Potamopithys (Adanson) Seub(E. alsinastrum L.), and the other taxa are classified into subgenus Elatine Seub. (=Hydropiper Moesz): E. triandra Schkuhr (sect. Triandra Seub. (=Crypta (Nutt.) Seub.); E. brochonii Clavaud, E. campylosperma Seub., E. gussonei (Sommier) Brullo, Lanfr., Pavone & Ronsisv., E. hexandra (Lapierre) DC., E. hydropiper L., E. hungarica Moesz, E. macropoda Guss., and E. orthosperma Düben (section: Elatinella Seub.). Two more taxa of sect. Elatinella occur in the New World (in North America E. californica A. Gray and in South American E. ecuadoriensis Molau). Other taxa classified to sect. Triandra mainly occur in temperate regions of the Old and New World, with the probable center of diversity in North and South America. E. ambigua is another taxon from Europe (Uotila, 2009b). It shows no substantial genetic differences in relation to E. triandra (Sramkó et al., 2016) an Asian species also occurring in Europe.Elatine alsinastrum is characterized by whorled leaves; all other species have opposite leaves, and are mainly distinguished by number of stamens (three, six or eight) and number of perianth lobes (three or four). The shape of leaves is variable, oblong or roundish, petiolate or almost sessile, and depends on environmental conditions. Flowers are sessile or pedunculated, while tiny seeds are oblong, curved or horseshoe-shaped (Cook, 1968; Tucker, 1986).Recently, Elatine species have been of interest to researchers because of their rarity throughout their range, relatively poorly known distribution and taxonomy, ecology, karyology and phylogenetic relationships (e.g., Popiela, 2005; Misfud, 2006; Uotila, 2009a; Uotila, 2010; Popiela & Łysko, 2010; Popiela & Łysko, 2011; Popiela et al., 2011; Popiela et al., 2012; Popiela, Łysko & Molnár, 2013; Popiela et al., 2015; Takács, 2013; Molnár et al., 2013; Molnár, Popiela & Lukács, 2013; Šumberova & Hrivnak, 2013; Kalinka et al., 2014; Kalinka et al., 2015; Cai et al., 2016; Sramkó et al., 2016). The above-mentioned authors emphasized that the erratic temporal appearance of Elatine species depends mainly on environmental factors; for example, plants develop as aquatic or terrestrial forms, and, moreover, they are morphologically variable depending on the phase of drying on the ground. This variability and the very small size of plants and short-lasting, tiny flowers often make proper identifications difficult. Earlier leaf length and shape, pedicel length and seed shape were widely used for identification of Elatine taxa (Seubert, 1845; Niedenzu, 1925). The importance of seed morphology in Elatine taxonomy has been emphasized by many authors: the degree of seed curvature (i.e., seed shape) and seed coat reticulation have been considered very importan tfor recognizing individual species (Cook, 1968; Uotila, 1974; Uotila, 2010; Tucker, 1986; Misfud, 2006; Molnár et al., 2013).There have been only a few studies addressing morphological variability of Elatine taxa (Mason, 1956; Molnár et al., 2013; Molnár, Popiela & Lukács, 2013). Recently, (Molnár et al., 2015) examined the level of phenotypic plasticity in Elatine. Analysis of morphological differences between aquatic and terrestrial forms of individual species clearly showed that vegetative traits are highly influenced by environmental factors and only seed traits are stable within species. According to Molnár et al. (2015), only seed morphology (aside from generative characteristics) is valuable for taxonomic purposes.Consequently, we studied seed morphometric characteristics of 10 Elatine species, including all native European taxa, as a part of comprehensive surveys on taxonomy and phytogeography of this genus that have been conducted by a Hungarian-Polish research team since 2010. We assumed that advanced and methodically uniform seed characteristics are taxonomically important in this genus. Our aims were to (i) find statistical differences between Elatine species relative to seed morphological features, (ii) evaluate intra- and interspeciesseed variability, and then (iii) construct a guide to identifying species based onseed morphological features. Due to the small size of seeds the study was made by using SEM micrographs.
Material & Methods
Plant material and cultivation
Plants studied were collected across Europe. In total, seeds were collected from all 10 Elatine species and from three populations each, with an exception of very rare E. brochonii and E. campylosperma, two populations, so altogether 28 populations were used for the study. The distance between the populations of each species ranged from approximately 10–2,000 km. For the localities of the original material, and the voucher specimens, see Table 1 and Fig. 1. The studied seeds were gathered directly from the field, or from cultivated plants grown from the original material; in some cases seeds from herbarium specimens were used. Culture was conducted at the Center for Molecular Biology at the University of Szczecin, Poland and/or a the Department of Botany at the University of Debrecen, Hungary. Plants were grown in climate-controlled culture chambers with 12 h/day light and 30,000 lux light intensity, temperatures: under light, 22 ± 2 °C, and under dark, 18 ± 2 °C.
Table 1
The species of Elatine and their populations included in the study, with the acronyms of the populations used in text, figs and tables.
Nr
Acronym
Name
Origin*,**
Latitude
Longitude
Collector, voucher
No. of seeds
Approx. distance between two/three populations (km)
1.
alsHU
E. alsinastrum L.
Hungary: Konyár**
47.31
21.67
Molnár V. A. DE- 22226
50
620
2.
alsPL1
E. alsinastrum L.
Poland: Staw Noakowski*
50.80
23.03
Popiela A. SZUB- 008756
50
3.
alsPL2
E. alsinastrum L.
Poland: Strzelczyn
53.01
14.54
Popiela A. SZUB- 015968
50
4.
broMO
E. brochonii Clavaud
Morocco: Ben Slimane**
33.62
−7.07
Lukács B. A. DE-43230
44
420
5.
broSP
E. brochonii Clavaud
Spain: San Silvestre de Guzmán**
37.4
−7.36
Molnár V. A. DE-37684
49
6.
camIT
E. campylosperma Seub.
Italy: Sardegna, Gesturi**
39.73
9.03
Molnár V. A. DE-37423
47
1,380
7.
camSP
E. campylosperma Seub.
Spain: El Rocio, Donana**
37.12
−6.49
Molnár V. A. DE-37681
50
8.
gusMAL
E. gussonei (Sommier) Brullo, Lanfr., Pavone & Ronsisv.
Malta: Gózó: Ta’ Sannat**
36.01
14.25
Molnár V. A. & Lukács B. A. DE-43229
50
1,265
9.
gusSP
E. gussonei (Sommier) Brullo, Lanfr. Pavone & Ronsisv.
Spain: Casar de Cáceres**
39.33
−6.25
Molnár V. A. DE-43231
50
10.
gusIT
E. gussonei
Italy: Sicily, Modica**
36.76
14.77
Molnár V. A. DE-38750
50
11.
hexPL1
E. hexandra (Lapierre)DC.
Poland: Janików (Janikowo)
51.57
14.96
Popiela A. SZUB- 015964
33
115
12.
hexPL2
E. hexandra (Lapierre) DC.
Poland: Milicz*
51.55
17.35
Popiela A. SZUB- 010851
50
13.
hexPL3
E. hexandra (Lapierre) DC.
Poland: Ruda Milicka*
51.53
17.34
Dajdok Z. SZUB- 011097
50
14.
hunRUS
E. hungarica Moesz
Russia: Volgograd**
49.76
45.7
Mesterházy A. DE-37484
42
1,375
15.
hunSLO
E. hungarica Moesz
Slovakia: Okánikowo
47.78
17.88
Eliáš P. SZUB- 010523
24
16.
hunHU
E. hungarica Moesz
Hungary: Konyár**
47.31
21.67
Molnár V. A. DE-22266
50
17.
hydHU
E. hydropiper L.
Hungary: Tiszagyenda**
47.36
20.52
Molnár V. A. DE-22273
39
550
18.
hydPL1
E. hydropiper L.
Poland: Parowa
51.38
15.23
Popiela A.
45
19.
hydPL2
E. hydropiper L.
Poland: Kwecko Lake
54.02
16.69
Popiela A.,Prajs B. SZUB- 015705
43
20.
macIT
E. macropoda Guss.
Italy: Sardegna: Olmedo**
40.63
8.41
Molnár V. A. DE-37424
50
900
21.
macSP1
E. macropoda Guss.
Spain: Casar de Cáceres**
39.19
−6.29
Molnár V. A. DE-37692
46
22.
macSP2
E. macropoda Guss.
Spain: Mallorca: Cap Blanc/SaTore*
39.38
2.77
Popiela A., SZUB”-- 015969
42
23.
ortCZ
E. orthosperma Düben
Czech Republic: Klášter*
49.02
15.15
Šumberova K.
45
1,260
24.
ortFI1
E. orthosperma Düben
Finland: Kokemäki
61.23
22.23
Suominen J, H 439800
25
25.
ortFI2
E. orthosperma Düben
Finland: Oulu*
65.06
25.47
Mesterházy A. DE-43232
50
26.
triHU
E. triandra Schkuhr
Hungary: Kisköre*
47.50
20.50
Molnár V. A. DE-22282
41
570
27.
triPL1
E. triandra Schkuhr
Poland: Janików
51.57
14.96
Popiela A., SZUB- 010520
47
28.
triPL2
E. triandra Schkuhr
Poland: Bobięcińskie Małe Lake
54.01
16.82
Dambska I., SZUB- 010862
50
Notes.
cultivation in Poland
cultivation in Hungary
Figure 1
Distribution of Elatine populations studied.
For acronyms, see Table 1.
Notes.cultivation in Polandcultivation in Hungary
Distribution of Elatine populations studied.
For acronyms, see Table 1.Elatine hungarica, E. hydropiper and E. triandra are protected species in Hungary and were sampled with the permission of the Hortobágy National Park Directorate (Permission id.: 45-2/2000, 250-2/2001).To determinate the variability and diagnostic features of seeds, 24–50 seeds obtained from several individuals from each population (Table 1) were used. A total of more than 1,500 scanning electron microscope (SEM) images of the seeds were obtained at ×200 magnification using an SEM (Zeiss Evo, Molecular Biology and Biotechnology Center, University of Szczecin, Szczecin, Poland); however, 1,260 images were used for the morphometric study, because all cracked seeds were excluded. In total, six parameters were measured (Fig. 2): (A) object surface area; (B) profile specific perimeter (object circuit); (C) object rectangle a (length); (D) object rectangle b (width); (E) the angle of curvature; (F) number of pits on the seed coat counted in the middle row. Moreover, membrane presence and pit shape were evaluated.
Figure 2
The method of measuring of seed.
(A) surface; (B) profile; (C) rectangle a; (D) rectangle b; (E) the angle of curvature (γ = α + β); (F) number of pits in the middle row.
The method of measuring of seed.
(A) surface; (B) profile; (C) rectangle a; (D) rectangle b; (E) the angle of curvature (γ = α + β); (F) number of pits in the middle row.To examine micromorphology of seed coat, 48 pictures at ×500, ×2,000, ×4,000, and ×7,000 were taken (Zeiss Evo SEM; Laboratory of Confocal and Electron Microscopy, Faculty of Biology, Adam Mickiewicz University, Poznań, Poland)
Data analysis
To distinguish the characteristics that have the greatest impact on population and species discrimination, multiple discriminant analysis was used. Wilks λ was used to measure the discriminatory power of the model (0—perfect discrimination; 1—no discrimination). Interpretation of discriminant functions was performed using canonical analysis.For visualization of the relationship between species and populations, Mahalanobis distance-based unweighted pair-group method using arithmetic averages to construct (UPGMA) trees was applied. Canonical values were shown using categorized scatterplots. The most discriminative traits were also independently tested by the non-parametric Kruskal–Wallis tests. All calculations were made in Statistica v. 12.5 software.
Results
Variability of populations within species
Discrimination analysis showed that all six traits significantly differentiate the populations studied (λ = 0.001, p < 0.001). Of these, the greatest contributions were as follows: number of pits, rectangle a (length), and the angle of curvature (Table 2).
Table 2
Discriminant analysis of the studied populations of Elatine.
N = 1,260
λ = .00016F(162, 7217) = 153.07p < 0.0001
λ (Wilks)
Fragm. (Wilks)
F (27.1227)
p
Toler.
R2
The angle of curvature
0.000461
0.342896
87.0870
0.0001
0.751829
0.248171
Rectangle a
0.000492
0.320751
96.2370
0.0001
0.254119
0.745881
Number of pits
0.000839
0.188320
195.8703
0.0001
0.989553
0.010447
Surface
0.000298
0.530541
40.2124
0.0001
0.169730
0.830270
Rectangle b
0.000229
0.690923
20.3291
0.0001
0.262387
0.737613
Profile
0.000199
0.793047
11.8592
0.0001
0.632832
0.367169
Based on a Kruskal–Wallis tests, we found no statistically significant differences (p = 0.05) between populations studied of each European Elatine species regarding the following traits: (A) surface (all species except E. campylosperma, E. hungarica, E. hydropiper), (B) profile (all species except E. campylosperma, E. hexandra, E. hungarica, E. hydropiper), (C) rectangle a (all species except E. brochonii), (D) rectangle b (all species), (E) the angle of curvature (all species), (F) number of pits (all species except E. gussonei, E. hungarica, E. triandra) (Table 3). Accordingly, the traits studied did not show statistically significant variation between populationsof the following species: E. alsinastrum, E. macropoda and E. orthosperma.
Table 3
Significant differences between populations of Elatine. based on Kruskal–Wallis tests (p = 0.05).
For acronyms, see Table 1.
alsHU
alsPL1
alsPL2
brochMO
brochSP
camIT
camSP
gusIT
gusMAL
gusSP
hexPL1
hexPL2
hexPL3
hunHU
hunRUS
hunSLO
hydHU
hydPL1
hydPL2
macIT
macSP1
macSP2
ortCZ
ortFI1
ortFI2
triHU
triPL1
triPL2
alsHU
abcf
abcf
cdef
abcdef
cde
cdef
acde
acef
abce
abce
abcde
abcde
bcde
cdef
cdef
cdef
bcde
bef
abce
ef
f
ef
abcd
abce
abcdef
alsPL1
abcf
abcdf
cdef
abcdef
cde
cdef
acde
ac
abc
abce
abcde
abce
cde
bcdef
abcdef
cdef
ce
e
ce
f
f
f
abcd
abc
abcd
alsPL2
abcf
abcdf
cdef
abcdef
cde
cdef
acde
ac
abc
abce
abcde
abce
cde
cdef
cdef
cdef
ce
e
abce
f
f
f
abcd
abcd
abcd
brochMO
abcf
abcf
abcf
c
abcdef
cdef
abdef
abde
abdef
be
f
ef
cdef
cdef
de
abdef
abdef
abdef
abdef
abcde
def
abcf
abcf
abcf
cf
f
ace
brochSP
abcf
abcdf
abcdf
c
abdef
abdef
abcdef
abcde
abcdef
abce
bcef
bcef
def
def
abde
abcdef
abcdef
abcdef
abcdef
abcdef
abcdef
abcdef
abcf
abcdef
f
ef
ef
camIT
cdef
cdef
cdef
abcdef
abdef
ab
cf
cef
cf
acdef
abcdef
abcdef
abdf
abdf
bf
a
abcdef
bcdef
abcdef
cde
cde
cde
abdef
abdef
abdef
camSP
abcdef
abcdef
abcdef
cdef
abdef
ab
abcf
abcef
abcf
bcdef
cdef
cdef
f
f
abc
abc
c
cef
acdef
cdef
bcde
cde
bcde
abde
adef
abdef
gusIT
cde
cde
cde
abdef
abcdef
cf
abcf
f
ade
abde
abd
abcf
abcdf
f
f
af
ad
cde
abd
acdef
cdef
acdef
abcdef
abcde
abcde
gusMAL
cdef
cdef
cdef
abde
abcde
cef
abcef
f
ad
abde
abdf
abcf
abcf
c
ef
ef
ef
f
d
abdf
cdef
def
def
abcdef
abcdef
abcde
gusSP
acde
acde
acde
abdef
abcdef
cf
abcf
f
f
adef
abdef
abde
abcd
abcd
ab
f
f
af
abde
abcdef
abde
acdef
acdef
acdef
abcde
abcde
abcdef
hexPL1
acef
ac
ac
be
abce
acdef
bcdef
ade
ad
adef
b
b
bcdef
bcef
de
adef
adef
def
cf
f
cf
abcdf
abc
abcd
hexPL2
abce
abc
abc
f
bcef
abcdef
cdef
abde
abde
abdef
b
cdef
cdef
cde
abdef
abdef
adef
ade
a
abcf
f
abcf
bcf
c
abcd
hexPL3
abce
abce
abce
ef
bcef
abcdef
cdef
abd
abdf
abde
b
cd
bcef
cd
abdef
abdef
def
a
abcf
f
abcf
abcdef
abc
abcd
hunHU
abcde
abcde
abcde
cdef
def
abdf
f
abcf
abcf
abcd
bcdef
cdef
cd
abf
abdf
bf
bc
abcef
c
bcdef
bcdef
bcdef
ade
ade
abdef
hunRUS
abcde
abce
abce
cdef
def
abdf
abcdf
abcf
abcd
bcef
cdef
bcef
abf
abcdf
abcdf
abcf
abc
abcef
abc
abcef
abce
abce
de
de
def
hunSLO
bcde
cde
cde
de
abde
bf
f
c
ab
de
cde
cd
abf
bf
abf
f
c
c
bcdef
cdef
cdef
abde
abde
abde
hydHU
cdef
bcdef
cdef
abdef
abcdef
abc
f
ef
f
adef
abdef
abdef
abf
abcdf
bf
ab
abdef
bcdef
abdef
acde
cde
acde
abdef
abdef
abcdef
hydPL1
cdef
abcdef
cdef
abdef
abcdef
abc
f
ef
f
adef
abdef
abdef
abdf
abcdf
abf
ab
abcdef
abcdef
abdef
acde
acde
acde
abdef
abdef
abcdef
hydPL2
cdef
cdef
cdef
abdef
abcdef
a
c
af
ef
af
def
adef
def
bf
abcf
f
ab
ab
def
cdef
def
cde
cde
cde
abdef
abdef
abcdef
macIT
bcde
ce
ce
abdef
abcdef
abcdef
cef
ad
f
abde
ade
bc
abc
c
abdef
abcdef
def
bcf
ef
ef
abcde
abcd
abcd
macSP1
bef
e
e
abcde
abcdef
bcdef
acdef
cde
d
abcdef
a
a
abcef
abcef
c
bcdef
abcdef
cdef
bf
f
f
abcdef
abcd
abcd
macSP2
abce
ce
abce
def
abcdef
abcdef
cdef
abd
abdf
abde
c
abc
abdef
abdef
def
bcf
ef
bcf
abcde
abcd
abcdf
ortCZ
ef
f
f
abcf
abcdef
cde
bcde
acdef
cdef
acdef
cf
abcf
abcf
bcdef
abcef
bcdef
acde
acde
cde
bcf
bf
bcf
abcdf
abcdf
abcdf
ortFI1
f
f
f
abcf
abcf
cde
cde
cdef
def
acdef
f
f
f
bcdef
abce
cdef
cde
acde
cde
ef
f
ef
abcd
abcf
abcdf
ortFI2
ef
f
f
abcf
abcdef
cde
bcde
acdef
def
acdef
cf
abcf
abcf
bcdef
abce
cdef
acde
acde
cde
ef
f
bcf
abcd
abcdf
abcdf
triHU
abcd
abcd
abcd
cf
f
abdef
abde
abcdef
abcdef
abcde
abcdf
bcf
abcdef
ade
de
abde
abdef
abdef
abdef
abcde
abcdef
abcde
abcdf
abcd
abcd
f
triPL1
abce
abc
abcd
f
ef
abdef
adef
abcde
abcdef
abcde
abc
c
abc
ade
de
abde
abdef
abdef
abdef
abcd
abcd
abcd
abcdf
abcf
abcdf
triPL2
abcdef
abcd
abcd
ace
ef
abdef
abdef
abcde
abcde
abcdef
abcd
abcd
abcd
abdef
def
abde
abcdef
abcdef
abcdef
abcd
abcd
abcdf
abcdf
abcdf
abcdf
f
Notes.
surface
profile
rectangle a
rectangle b
angle of curvature
number of pits
However, there were large ranges of variation for some traits, especially within the following populations: E. orthosperma from Finland, Fin1 (for acronyms see Table 1) (surface: SD 36131.9 and rectangle a: SD 78.9), E. hungarica from Slovakia (profile: SD 498.1), E. triandra from Poland, PL1 (rectangle b:SD 39.9 and the angle of curvature: SD 33.7), and E. hydropiper from Hungary (number of pits: SD 5.3) (Fig. 3, Table 4). Conversely, the smallest ranges of variation were observed in the following populations: E. triandra from Poland, PL2 (surface: SD 5897.8), E. triandra from Hungary (rectangle a: SD 15.3), E. brochonii from Spain (profile: SD 51.7 and rectangle b: SD 13.6), E. hydropiper from Hungary and E. macropoda from Spain, SP2 (angle of curvature, SD 10.5; SD 10.3, respectively), and E. brochonii from Morocco (number of pits: SD 0.9) (Fig. 3, Table 4).
Figure 3
Boxplots of the most discriminative seed traits among 28 studied populations of Elatine.
Notations: boxes indicate 25–75 percentiles, white point indicate medians, whiskers exclude outliers, black points indicate outliers. For acronyms, see Table 1. (A) surface; (B) profile; (C) rectangle a; (D) rectangle b; (E) angle; (F) pits.
Table 4
SD values of seed traits studied of the populations of Elatine.
For acronyms, see Table 1.
Acronym
Surface (µm2)
Profile (µm)
Rectangle_a (µm)
Rectangle_b (µm)
The angle of curvature (°)
Numer of pits
alsHU
22108.8
152.4
55.0
26.1
12.5
2.1
alsPL1
12280.7
69.8
34.2
22.7
16.8
1.3
alsPL2
23478.5
139.6
51.6
28.0
11.7
1.5
brochMO
14826.5
86.4
37.3
21.0
14.2
0.9
brochSP
7424.4
51.7
22.7
13.6
14.2
1.3
camIT
23754.8
154.9
37.4
34.7
21.4
5.0
camSP
12567.2
106.3
19.7
23.1
16.1
3.6
gusIT
23082.4
237.0
44.7
27.4
17.7
3.4
gusMAL
18526.5
172.1
39.8
24.8
23.0
1.6
gusSP
17567.0
121.0
29.1
26.0
26.9
4.1
hexPL1
12783.1
194.6
41.8
27.8
26.1
1.6
hexPL2
9186.5
87.2
27.3
26.0
23.6
1.7
hexPL3
10467.0
110.1
39.3
32.9
10.3
1.4
hunHU
7222.9
59.2
24.9
19.4
17.4
4.0
hunRUS
8318.2
84.2
17.5
17.8
17.4
2.7
hunSLO
24936.3
498.1
40.1
30.3
15.9
1.9
hydHU
11886.9
101.5
18.3
19.2
10.5
5.3
hydPL1
22799.7
252.3
35.7
30.5
16.7
4.2
hydPL2
12877.0
221.3
41.1
22.2
20.6
4.3
macIT
14752.8
121.9
45.0
30.6
21.4
2.1
macSP1
21061.9
153.9
45.6
22.4
18.3
1.8
macSP2
16799.6
160.0
41.1
35.2
10.3
2.5
ortCZ
18174.3
271.2
51.0
34.8
25.7
3.8
ortFI1
36131.9
241.2
78.9
24.5
24.3
3.0
ortFI2
17093.8
177.3
45.3
30.7
25.4
3.0
triHU
6365.6
67.3
15.3
13.9
16.4
2.0
triPL1
11403.4
140.7
36.4
39.9
33.7
1.8
triPL2
5897.8
55.6
22.1
18.5
11.7
2.0
Multidimensional scaling based on a correlation matrix of Mahalanobis distance of the six features studied revealed the greatest similarity between the three populations of the following species: E. alsinastrum, E. macropoda, E. hexandra (Fig. 4).
Figure 4
Multidimensional scaling based on a correlation matrix of Mahalanobis distance for seed traits among 28 populations of Elatine.
For acronyms, see Table 1
Variability between species
Discriminant analysis showed that all variables could discriminate species (λ < 0.01). The greatest impact was from the following features: number of pits, the angle of curvature and rectangle a (Table 5).
Table 5
Discriminant analysis of seed traits studied of the European Elatine species.
N = 1,260
λWilks: .00252 F (54,6352) = 262.68 p < 0.0001
λ (Wilks)
Fragm. (Wilks)
F (9.1245)
p
Toler.
R2
The angle of curvature
0.005051
0.499212
138.7702
0.0001
0.632234
0.367766
Rectangle a
0.004048
0.622838
83.7685
0.0001
0.298593
0.701407
Number of pits
0.007668
0.328805
282.3820
0.0001
0.916368
0.083632
Surface
0.002735
0.921836
11.7295
0.0001
0.153021
0.846979
Profile
0.002759
0.913793
13.0504
0.0001
0.186761
0.813239
Rectangle b
0.002717
0.927840
10.7585
0.0001
0.509627
0.490373
Significant differences between populations of Elatine. based on Kruskal–Wallis tests (p = 0.05).
For acronyms, see Table 1.Notes.surfaceprofilerectangle arectangle bangle of curvaturenumber of pits
Boxplots of the most discriminative seed traits among 28 studied populations of Elatine.
Notations: boxes indicate 25–75 percentiles, white point indicate medians, whiskers exclude outliers, black points indicate outliers. For acronyms, see Table 1. (A) surface; (B) profile; (C) rectangle a; (D) rectangle b; (E) angle; (F) pits.
Multidimensional scaling based on a correlation matrix of Mahalanobis distance for seed traits among 28 populations of Elatine.
For acronyms, see Table 1
SD values of seed traits studied of the populations of Elatine.
For acronyms, see Table 1.The Kruskal–Wallis tests showed, in many cases, lack of statistical significance between species relative to the studied seed traits (Table 6). Regarding the trait surface, only E. triandra seeds showed statistical significance compared with all species tested. Analysis of all characteristics showed the least amount of statistically significant differences between the following species pairs: E. alsinastrum and E. orthosperma, E. hexandra and E. macropoda, as well as E. gussonei and E. hydropiper (Table 6).
Table 6
Significant differences of studied features between the European species of Elatine based on Kruskal–Wallis tests ( p = 0.05).
E. alsinastrum
E. brochonii
E. campylosperma
E. gussonei
E. hexandra
E. hungarica
E. hydropiper
E. macropoda
E. orthosperma
E. triandra
E. alsinastrum
abcdf
abcdef
acdef
abcef
abcde
cdef
abcde
aef
abcde
E. brochonii
abcdf
abcdef
abcdef
bcdef
cdef
abdef
abcdef
abcdef
acef
E. campylosperma
abcdef
abcdef
abcef
acdef
abdef
abc
cdef
bcde
abdef
E. gussonei
acdef
abcdef
abcef
abde
abcdf
ef
abcde
acdef
abcde
E. hexandra
abcef
bcdef
acdef
abde
bcdef
abcdef
ad
abcf
abcdf
E. hungarica
abcde
cdef
abdef
abcdf
bcdef
abcdef
abcdef
abcdef
abde
E. hydropiper
cdef
abdef
abc
ef
abcdef
abcdef
abcdef
acde
abcdef
E. macropoda
abcde
abcdef
cdef
abcde
ad
abcdef
abcdef
bcdef
abcde
E. orthosperma
aef
abcdef
bcde
acdef
abcf
abcdef
acde
bcdef
abcdf
E. triandra
abcde
acef
abdef
abcde
abcdf
abde
abcdef
abcde
abcdf
Notes.
surface
profile
rectangle a
rectangle b
angle of curvature
number of pits
Notes.surfaceprofilerectangle arectangle bangle of curvaturenumber of pitsThere was a large range of variation for the taxa studied regarding the following traits: seed size (traits: surface, profile, and rectangle a), especially within E. hungarica (SD 27183.7, SD 285.9, and SD 62.0, respectively); the angle of curvature, E. gussonei (SD 44.7); and number of pits, E. campylosperma (SD 7.2). The smallest variation was present in E. triandra (surface SD 14587.3, profile: SD 171.8, rectangle a: SD 54.6) and E. brochonii (rectangle b SD 20.6, the angle of curvature SD 14.7, pits: SD 1.3). The characteristics associated with size (surface, profile, rectangle a, rectangle b) revealed that the following species had the smallest seeds: E. brochonii and E. triandra, while the largest seeds in the studied species belonged to E. gussonei and E. hydropiper (Fig. 5, Table 7).
Figure 5
Boxplots of the most discriminative seed traits among Elatine species studied.
Notations: boxes indicate 25–75 percentiles, white points indicate medians, whiskers exclude outliers, black points indicate outliers. For acronyms, see Table 1. (A) surface; (B) profile; (C) rectangle a; (D) rectangle b; (E) angle; (F) pits.
Table 7
SD values for seeds traits of the European Elatine species.
Surface (µm2)
Profile (µm)
Rectangle_a (µm)
Rectangle_b (µm)
Angle of curvature (°)
Number of pits
E. alsinastrum
20213.4
142.3
50.1
27.8
16.7
1.8
E. brochonii
20881.3
133.8
58.9
20.6
14.7
1.3
E. campylosperma
30981.9
219.0
35.1
56.7
20.8
7.2
E. gussonei
26873.7
184.4
44.7
46.1
44.7
4.5
E. hexandra
11356.3
165.5
37.1
30.6
26.0
1.6
E. hungarica
27183.7
285.9
62.0
35.7
20.3
3.7
E. hydropiper
31653.4
250.3
33.6
41.5
17.3
6.6
E. macropoda
19610.4
148.5
50.3
30.6
20.9
2.5
E. orthosperma
22819.4
239.2
60.9
31.3
26.2
4.2
E. triandra
14587.3
171.8
54.6
32.2
27.5
2.7
Boxplots of the most discriminative seed traits among Elatine species studied.
Notations: boxes indicate 25–75 percentiles, white points indicate medians, whiskers exclude outliers, black points indicate outliers. For acronyms, see Table 1. (A) surface; (B) profile; (C) rectangle a; (D) rectangle b; (E) angle; (F) pits.
Morphological relationships of seeds among surveyed Elatine species displayed by Mahalanobis distance-based UPGMA cluster based on the following features: rectangle a, angle of curvature, and number of pits.
For acronyms, see Table 1.The classification matrix of the discriminant analysis showed that the level of classification varied from 86% (rectangle a, the angle of curvature, number of pits) to 84% (surface, profile, rectangle a, rectangle b, the angle of curvature, number of pits). The highest values of classification were found for E. alsinastrum, E, brochonii, E. hydropiper, and E. orthosperma (all greater than 90%). The lowest values were found for E. campylosperma (57%, 55%) (Table 8).
Table 8
Classification matrix based on discriminant function analysis of seeds traits of Elatine species.
E. alsinastrum
E. brochonii
E. campylosperma
E. gussonei
E. hexandra
E. hungarica
E. hydropiperer
E. macropoda
E. orthosperma
E. triandra
Correct n
Correct classification (%)
A
96
94
57
85
79
85
94
83
95
88
86
B
97
92
55
78
71
82
95
78
93
91
84
E. alsinastrum
A
144
1
0
0
3
0
0
2
0
0
150
B
145
1
0
0
4
0
0
0
0
0
150
E.brochonii
A
1
87
0
0
5
0
0
0
0
0
93
B
1
86
0
0
5
0
0
0
0
1
93
E. campylosperma
A
0
0
55
0
0
17
25
0
0
0
97
B
0
0
53
0
0
16
28
0
0
0
97
E. gussonei
A
0
0
1
126
0
1
4
16
0
0
148
B
0
0
1
115
0
3
6
23
0
0
148
E. hexandra
A
1
1
0
0
105
0
0
26
0
0
133
B
1
2
0
0
95
0
0
35
0
0
133
E. hungarica
A
0
0
1
16
0
99
0
0
0
0
116
B
0
0
1
20
0
95
0
0
0
0
116
E. hydropier
A
0
0
6
2
0
0
119
0
0
0
127
B
0
0
5
1
0
0
121
0
0
0
127
E. macropoda
A
5
0
0
0
17
0
0
115
0
1
138
B
5
0
0
1
24
0
0
107
0
1
138
E. orthosperma
A
4
0
0
0
1
0
0
1
114
0
120
B
6
0
0
0
1
0
0
1
112
0
120
E. triandra
A
0
1
0
0
15
1
0
0
0
121
138
B
0
1
0
0
9
1
0
2
0
125
138
Total classified
A
155
90
63
144
146
118
148
160
114
122
1,260
B
158
90
60
137
138
115
155
168
112
127
1,260
(Correct n) − (Tot. class.)
A
−5
3
34
4
−13
−2
−21
−22
6
16
B
−8
3
37
11
−5
1
−28
−30
8
11
Notes.
rectangle a, angle of curvature, pits
surface, profile, rectangle a, rectangle b, angle of curvature, number of pits
Notes.rectangle a, angle of curvature, pitssurface, profile, rectangle a, rectangle b, angle of curvature, number of pitsUPGMA clusters of Mahalanobis distance based on rectangle a, the angle of curvature, and number of pits yielded two groups: species with straight or nearly straight seeds, and species with curved and U-shaped seeds (Fig. 6). The greatest similarity was found between seeds of E. hexandra and E. macropoda, and E. campylosperma and E. hydropiper. The spatial distribution of observed characteristics of the analyzed species is depicted as a categorized scatterplot based on canonical analysis values (Fig. 7).
Figure 6
Morphological relationships of seeds among surveyed Elatine species displayed by Mahalanobis distance-based UPGMA cluster based on the following features: rectangle a, angle of curvature, and number of pits.
For acronyms, see Table 1.
Figure 7
Categorized scatterplot based on canonical analysis value for seeds of the European species of Elatine.
For acronyms, see Table 1.
Categorized scatterplot based on canonical analysis value for seeds of the European species of Elatine.
For acronyms, see Table 1.
Discussion
Our study shows that in Elatine tested seed variability is mainly associated with size-connected traits, especially surface, profile, rectangle b, and, to a lesser extent, rectangle a. This allowed us to draw the conclusion that to distinguish seeds of these species the most useful traits are the angle of curvature and number of pits, and to a lesser extent rectangle a (length). These findings confirm previous knowledge about the usefulness of these features in Elatine taxonomy (Misfud, 2006; Uotila, 2009a; Uotila, 2010; Molnár et al., 2013; Molnár et al., 2015). Nevertheless, our study revealed that the range of variation of European Elatine morphological features is large, both between species and the populations of each species.Regarding intraspecific variability, the traits studied were not statistically significantly different between studied populations of the following taxa: E. alsinastrum, E. macropoda, E. hexandra. Conversely, E. gussonei, E. campylospermaE. hungarica and E. hydropiper seeds showed statistically significant intrapopulation variability. The taxonomic status of the first three species is still being elucidated. Elatine gussonei, an enigmatic plant of the Mediterranean, was first described as a variety of E. hydropiper and was later classified as a separate species (Brullo et al., 1988; Misfud, 2006; Molnár et al., 2013; Molnár, Popiela & Lukács, 2013). Elatine campylosperma was described by Seubert (1845) from Sardinia, and later greatly neglected by most researchers by synonymizing this species under E. macropoda; at present, it is considered a separate species (Kalinka et al., 2015). Elatine hungarica was last collected in 1960 and rediscovered in Hungary in 1998 (Molnár et al., 1999); for years its taxonomic status was under discussion (Molnár et al., 2013).Our present study showed that regarding shape statistically only E. alsinastrum and E. orthosperma seeds are nearly straight and seeds of all other species are curved to varying degrees; the range of variation in some species is large in this respect, especially in E. gussonei, E. triandra, and E. hexandra.If distinction of species is only based on seeds, it would be easy to confuse the following species pairs: E. alsinastrum and E. orthosperma, E. hexandra and E. macropoda, E. campylosperma and E. hydropiper, andE. gussonei and E. hungarica, especially if only a few seeds are evaluated. Previously, Misfud (2006), who worked on Malta and Mallorca populations, pointed out the importance of distinction based on greater seed curvature in E. gussonei compared with E. macropoda; although this is true if averages are used, there is a substantial amount of overlap in curvature and this could lead to confusion if the curvature of only few seeds are analyzed. This was also confirmed by our results. Misfud (2006) also drew attention to the distinctive seed testa reticulation, and claimed that the wide hexagonal shape of pits in E. gussonei and smaller number of pits/row (15 ± 3) are very difficult to confuse with E. macropoda’s 21 ± 3 narrow pits/row. Our study yielded different results: seeds of E. macropoda populations had similar number of pits [(13–)19–23–(29)] compared to E. gussonei [(17–)23(–32)]. However, because Misfud (2006) did not precisely describe the method of counting pits (especially in which row pits were counted), it is difficult to compare our results. Molnár et al. (2013) pointed out that seeds of E. hungarica are much more curved than those of E. gussonei, and especially of E. macropoda and E. orthosperma, but somewhat less curved than those of E. hydropiper. Our current study revealed that the range of variation for the feature the angle of curvature of E. hungarica seeds is similar to that of E. gussonei, and more curved seeds are found in E. hydropiper and E. campylosperma. These results are basically consistent with observations of Molnár et al. (2013), especially considering that more varied material was used in the current study. Our research confirms observations of Misfud (2006) and Molnár et al. (2013) concerning the evident semilunar membrane on the concave side of seeds (Figs. 8–11). The membrane was present and clearly visible in all highly curved fresh seeds of the following species: E. gussonei, E. hydropiper, E. hungarica, and E. campylosperma. Regarding the seed testa, a very distinctive network-shape ornamentation pattern of E. triandra as visible (Figs. 9J– 9L, 11). Elatine campylosperma seeds showed the most distinctive reticulation, and were characterized by a large number of narrow, rectangular pits (Fig. 10), and round-shaped pits (Figs. 8G– 8I). Similarly, rectangular-shaped pits were found in seeds of the following species: E. alsinastrum, E. triandra, E. orthosperma, E. hydropiper, and E. macropoda; however, hexagonal pits were also present (Figs. 10 and 11). The pit shapes of E. gussonei, E. hungarica, E. brochonii, and E. hexandra are usually both hexagonal and rectangular, with a predominance of the former (Figs. 10 and 11). Similar observations for some of these species were made by Misfud (2006), Molnár et al. (2013), Molnár, Popiela & Lukács (2013). We believe that the shape of pits may be an additional feature that helps distinguish seeds of individual species (Figs. 8 and 10). However, we found no diversity in seed coat micromorphology within pits (e.g., pores, strophioles) that could have potential taxonomic importance. Seed coats within pits were smooth with the exception of irregular strips, and the porosity of the seed coat is visible only in the inner layer of cracked seeds (Figs. 8Q–8R, 9I). Ornamentation pattern (pit shape) becomes distinct as the seeds dry up. The outer layer of the seed coat is very thin and easily destroyed ( Figs. 9A–9B; 9D–9F).
Figure 8
The diversity in seed coat micromorphology of Elatine alsinastrum (a–alsHu; b, c–alsPL1), E. brochonii (a, b–broMO; c–broSP), E. campylosperma (a, b–camIT; c–camSP), E. gussonei (a, b–gusMAL; c–gusSP), E. hexandra (a, b–hexPL1; c–hexPL2), E. hungarica (a, b–hunR; c–hunSL).
Scale bar = 10 µm. For acronyms, see Table 1. (A–C) E. alsinastrum; (D–F) E. brochonii; (G–I) E. campylosperma; (J–L) E. gussonei; (M–O) E. hexandra; (P–R) E. hungarica.
Figure 11
The diversity of seeds of Elatine orthosperma, E. alsinastrum, E. brochonii, E. hexandra, E. triandra.
Scale bar =200 µm. (A–E) E. orthosperma; (F–J) E. alsinastrum; (K–O) E. brochonii; (P–T) E. hexandra; (U–Y) E. triandra.
Figure 9
The diversity in seed coat micromorphology of Elatine hydropiper (a - hydHu, b, c - hydPL1); E. macropoda (a, b -macIT; c–macSP), E. orthosperma (a, b -ortCZ; c - ortFI1), E. triandra (a–triHU; b, c–triPL1).
Scale bar = 10 µm. For acronyms, see Table 1. (A–B) E. hydropiper; (D–F) E. macropoda; (G–I) E. orthosperma; (J–L) E. triandra.
Figure 10
The diversity of seeds of Elatine campylosperma, E. gussonei, E. hydropiper, E. hungarica, E. macropoda.
Scale bar =200 µm. (A–E) E. campylosperma; (F–J) E. gussonei; (K–O) E. hydropiper; (P–T) E. hungarica; (U–Y) E. macropoda.
The diversity in seed coat micromorphology of Elatine alsinastrum (a–alsHu; b, c–alsPL1), E. brochonii (a, b–broMO; c–broSP), E. campylosperma (a, b–camIT; c–camSP), E. gussonei (a, b–gusMAL; c–gusSP), E. hexandra (a, b–hexPL1; c–hexPL2), E. hungarica (a, b–hunR; c–hunSL).
Scale bar = 10 µm. For acronyms, see Table 1. (A–C) E. alsinastrum; (D–F) E. brochonii; (G–I) E. campylosperma; (J–L) E. gussonei; (M–O) E. hexandra; (P–R) E. hungarica.
The diversity in seed coat micromorphology of Elatine hydropiper (a - hydHu, b, c - hydPL1); E. macropoda (a, b -macIT; c–macSP), E. orthosperma (a, b -ortCZ; c - ortFI1), E. triandra (a–triHU; b, c–triPL1).
Scale bar = 10 µm. For acronyms, see Table 1. (A–B) E. hydropiper; (D–F) E. macropoda; (G–I) E. orthosperma; (J–L) E. triandra.
The diversity of seeds of Elatine campylosperma, E. gussonei, E. hydropiper, E. hungarica, E. macropoda.
Scale bar =200 µm. (A–E) E. campylosperma; (F–J) E. gussonei; (K–O) E. hydropiper; (P–T) E. hungarica; (U–Y) E. macropoda.
The diversity of seeds of Elatine orthosperma, E. alsinastrum, E. brochonii, E. hexandra, E. triandra.
Scale bar =200 µm. (A–E) E. orthosperma; (F–J) E. alsinastrum; (K–O) E. brochonii; (P–T) E. hexandra; (U–Y) E. triandra.Our research allowed us to construct a guide that can be useful to identify the studied taxa based on seed traits. We believe that this guide is important for better recognition of these rare and endangered species, and can be useful for elucidating the history of range formation of these taxa in the Holocene and their origin. Elatine subfossil finds were discovered in late-glacial and pre-boreal sediments in the last few centuries (Latałowa, 1992; Brinkkemper et al., 2008; Kowalewski et al., 2013). The ecological amplitude of this species provides robust clues for environmental reconstruction, which must have been a temporarily flooded fresh water area. “...since this type of environment is strongly threatened on a worldwide scale, the presence of these species in the past may also provide interesting information for present nature development projects...” (Brinkkemper et al., 2008).Identification guide and descriptions for European species of Elatine based on seed morphology presented in Figs. 10 and 11. Note: the guide does not include exceptional values given in parentheses in the descriptions (min. outliers 1.5) 25%–75% (max. outliers 1.5).Seed length (658–)776–854(–971) µm, width (242–)297–334(–389) µm, angle of curvature (55–)61–99(–156)° number of pits in the middle row (23–)32–38(–47), prevailing pit shape rectangular, semilunar membrane absent on the concave side of seeds.Seed length (365–)533–645(–813) µm, width (217–)252–276(–312) µm, angle of curvature: 26–47(–79)°, number of pits in the middle row (12–)14–15(–17), prevailing pit shape hexangular, semilunar membrane absent on the concave side of seeds.Seed length (328)467–560(700) µm, width: (158)201–231(274) µm; angle of curvature: 58–89 (136)°, number of pits in the middle row (16)20–23(28), prevailing network-shape of pits in the seed coat, semilunar membrane absent on the concave side of seeds.Seed length (708–)799–859(–950) µm, width: (230)290–330(391) µm, angle of curvature: 33–56(91)°, number of pits in the middle row: (18)21–23(26), prevailing rectangular shape of pits in the seed coat, semilunar membrane absent on the concave side of seeds.Seed length: (568–)666–732(–830) µm, width: (282–)329–360(–407) µm, angle of curvature (78–)111–134(–167)°, number of pits in the middle row: (13–)19–23(–29); prevailing rectangular shape of pits in the seed coat, usually semilunar membrane absent on the concave side of seeds.Seed length: (593–)656–697(–760) µm, width: (223–)283–322(–381) µm; angle of curvation (15–) 77–118(–180)°, number of pits in the middle row: (16–)19–21(–24), the shape of pits in the seed coat hexagonal and rectangular, semilunar membrane absent on the concave side of seeds.Seed length: (439–)505–549(–615) µm, width: (274–)419–517(–663) µm, angle of curvation: (222–)265–294(–337)°, number of pits in the middle row: (15–)31–42(–59), narrow rectangular or round shape of pits in the seed coat, semilunar membrane present on the concave side of the seeds.Seed length: (548–)602–638(–693) µm, width: (367–)454–512(–599) µm, angle of curvation: (246–)273–291(–318)°, number of pits in the middle row: (22–)37–48(–62), prevailing rectangular shape of pits in the seed coat, semilunar membrane present on the concave side of the seeds.Seed length: (296–)459–567(–730) µm, width: (284–)357–405(–477) µm; angle of curvation: (161–)213–247(–299)°, number of pits in the middle row: (11–)20–26(–35), prevailing hexagonal shape of pits in the seed coat, semilunar membrane present on the concave side of the seeds.Seed length: (539–)627–685(–774) µm, width: (325–)436–509(–620) µm; angle of curvation: (80–)180–247(–347)°, number of pits in the middle row: 17–23(–32), prevailing hexagonal shape of pits in the seed coat, semilunar membrane present on the concave side of the seeds.Click here for additional data file.
1 Seeds straight –almost straight –slightly curved, the angle of curvature < 150°
2
1* Seeds curved or U-shaped, the angle of curvature ≥ 150
8
2 Number of pits in the seed coat in the middle row ≥ 30
E. orthosperma
2* Number of pits in the seed coat in the middle row <30
3
3 Length of seeds < 600 µm
4
3* Length of seeds ≥ 600 µm
5
4 Number of pits in the seed coat in the middle row < 17
E. brochonii
4* Number of pits in the seed coat in the middle row ≥ 18
E. triandra
5 Number of pits in the seed coat in the middle row ≤17
E. brochonii (for description see above, after line 4)
5* Number of pits in the seed coat in the middle row >17
6
6 Angle of curvature of seeds ≤60°
E. alsinastrum
6*Angle of curvature of seeds > 60°
7
7 Width of seeds ≥ 320 µm
E. macropoda
7* Width of seeds < 320 µm
E. hexandra
8 Number of pits in the seed coat in the middle row ≥ 30
9
8* Number of pits in the seed coat in the middle row <30
Authors: Attila Molnár V; János Pál Tóth; Gábor Sramkó; Orsolya Horváth; Agnieszka Popiela; Attila Mesterházy; Balázs András Lukács Journal: PeerJ Date: 2015-12-10 Impact factor: 2.984
Authors: Gábor Sramkó; Attila Molnár V; János Pál Tóth; Levente Laczkó; Anna Kalinka; Orsolya Horváth; Lidia Skuza; Balázs András Lukács; Agnieszka Popiela Journal: PeerJ Date: 2016-12-21 Impact factor: 2.984
Authors: Liming Cai; Zhenxiang Xi; Kylee Peterson; Catherine Rushworth; Jeremy Beaulieu; Charles C Davis Journal: PLoS One Date: 2016-09-29 Impact factor: 3.240
Authors: Attila Takács; Attila Molnár V; Balázs A Lukács; Timea Nagy; Ádám Lovas-Kiss; Andy J Green; Agnieszka Popiela; Lajos Somlyay Journal: PeerJ Date: 2018-05-29 Impact factor: 2.984