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Concordant Patterns of Population Genetic Structure in Food-Deceptive Dactylorhiza Orchids

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Background: The patterns of inbreeding coefficients (FIS) and fine spatial genetic structure (FSGS) were evaluated regarding the mating system and inbreeding depression of food-deceptive orchids, Dactylorhiza majalis, Dactylorhiza incarnata var. incarnata, and Dactylorhiza fuchsii, from NE Poland. Methods: We used 455 individuals, representing nine populations of three taxa and AFLPs, to estimate percent polymorphic loci and Nei’s gene diversity, which are calculated using the Bayesian method; FIS; FST; FSGS with the pairwise kinship coefficient (Fij); and AMOVA in populations. Results: We detected a relatively high proportion of polymorphic fragments (40.4–68.4%) and Nei’s gene diversity indices (0.140–0.234). The overall FIS was relatively low to moderate (0.071–0.312). The average Fij for the populations of three Dactylorhiza showed significantly positive values, which were observed between plants at distances of 1–10 m (20 m). FST was significant in each Dactylorhiza taxon, ranging from the lowest values in D. fuchsii and D. majalis (0.080–0.086, p < 0.05) to a higher value (0.163, p < 0.05) in D. incarnata var. incarnata. Molecular variance was the highest within populations (76.5–86.6%; p < 0.001). Conclusions: We observed concordant genetic diversity patterns in three food-deceptive, allogamous, pollinator-dependent, and self-compatible Dactylorhiza. FIS is often substantially higher than Fij with respect to the first class of FSGSs, suggesting that selfing (meaning of geitonogamy) is at least responsible for homozygosity. A strong FSGS may have evolutionary consequences in Dactylorhiza, and combined with low inbreeding depression, it may impact the establishment of inbred lines of D. majalis and D. incarnata var. incarnata.
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Academic Editor: Hui Li
Received: 7 December 2024
Revised: 1 January 2025
Accepted: 6 January 2025
Published: 8 January 2025
Citation: Wróblewska, A.;
Ostrowiecka, B.; Jermakowicz, E.;
Tałałaj, I. Concordant Patterns of
Population Genetic Structure in
Food-Deceptive Dactylorhiza Orchids.
Genes 2025,16, 67. https://doi.org/
10.3390/genes16010067
Copyright: © 2025 by the authors.
Licensee MDPI, Basel, Switzerland.
This article is an open access article
distributed under the terms and
conditions of the Creative Commons
Attribution (CC BY) license
(https://creativecommons.org/
licenses/by/4.0/).
Article
Concordant Patterns of Population Genetic Structure in
Food-Deceptive Dactylorhiza Orchids
Ada Wróblewska * , Beata Ostrowiecka, Edyta Jermakowicz and Izabela Tałałaj
Faculty of Biology, University of Bialystok, Ciołkowskiego 1J Street, 15-245 Białystok, Poland;
b.ostrowiecka@uwb.edu.pl (B.O.); edytabot@uwb.edu.pl (E.J.); izagry@uwb.edu.pl (I.T.)
*Correspondence: adabot@uwb.edu.pl
Abstract: Background: The patterns of inbreeding coefficients (F
IS
) and fine spatial genetic
structure (FSGS) were evaluated regarding the mating system and inbreeding depression
of food-deceptive orchids, Dactylorhiza majalis,Dactylorhiza incarnata var. incarnata, and
Dactylorhiza fuchsii, from NE Poland. Methods: We used 455 individuals, representing nine
populations of three taxa and AFLPs, to estimate percent polymorphic loci and Nei’s gene
diversity, which are calculated using the Bayesian method; F
IS
;F
ST
; FSGS with the pairwise
kinship coefficient (Fij); and AMOVA in populations. Results: We detected a relatively
high proportion of polymorphic fragments (40.4–68.4%) and Nei’s gene diversity indices
(0.140–0.234)
. The overall F
IS
was relatively low to moderate
(0.071–0.312)
. The average
Fij for the populations of three Dactylorhiza showed significantly positive values, which
were observed between plants at distances of 1–10 m (20 m). F
ST
was significant in each
Dactylorhiza taxon, ranging from the lowest values in D. fuchsii and D. majalis (0.080–0.086,
p< 0.05
) to a higher value (0.163, p< 0.05) in D. incarnata var. incarnata. Molecular variance
was the highest within populations (76.5–86.6%; p< 0.001). Conclusions: We observed
concordant genetic diversity patterns in three food-deceptive, allogamous, pollinator-
dependent, and self-compatible Dactylorhiza.F
IS
is often substantially higher than Fij
with respect to the first class of FSGSs, suggesting that selfing (meaning of geitonogamy)
is at least responsible for homozygosity. A strong FSGS may have evolutionary conse-
quences in Dactylorhiza, and combined with low inbreeding depression, it may impact the
establishment of inbred lines of D. majalis and D. incarnata var. incarnata.
Keywords: Dactylorhiza fuchsii;Dactylorhiza incarnata var. incarnata;Dactylorhiza majalis;F
IS
;
spatial genetic structure
1. Introduction
The mating system influences the genetic structure of plant populations by altering
the drift/migration equilibrium, which is defined by the effective population size
[1,2]
.
Theoretical and experimental studies have frequently shown that pollen transfer in out-
crossing species results in lower genetic structure and higher genetic diversity than in
self-pollinating species. In the latter, it is often attributed to a significant founder effect,
which tends to increase inbreeding in selfers [
2
4
]. However, pollen flow may act in concert
with life-history traits, such as dispersal mechanisms (by wind or animals), and com-
bined, they exhibit high statistical power for predicting the scale of the fine spatial genetic
structure (FSGS) within populations [
5
,
6
]. When pollen and seed dispersal are restricted,
resulting in significant intra-population structure, biparental inbreeding can also influence
the inbreeding coefficient. Therefore, following an isolation-by-distance model, a strong
Genes 2025,16, 67 https://doi.org/10.3390/genes16010067
Genes 2025,16, 67 2 of 11
FSGS is frequent even within allogamous or potentially allogamous plants [
6
]. Higher
levels of FSGS have also been highlighted for selfing and clonal species in low-density
populations [
6
8
]. Variations in mating systems and different soil and climatic conditions
may additionally contribute to different FSGS patterns [
9
]. F
IS
also reflects inbreeding in
previous generations of perennials, resulting in the Wahlund effect on the population [
10
].
Mating systems and seed dispersal also influence F
ST
via its impact on pollen-mediated
and short and/or leptokurtic gene flow and the effective population size, especially during
selfing and mating between relatives, by increasing inbreeding, which enhances genetic
drift. A summary report by Duminil et al. [
11
], which analyzed data from 263 plant species,
indicated that the inbreeding coefficient (F
IS
) observed at the adult plant stage enables the
assessment of the effects of both biparental inbreeding and inbreeding depression on popu-
lation genetic structure. In the early stages of the plant life cycle, inbreeding depression
primarily impacts inbred progeny. As a result, the F
IS
of adult plants reflects information
about both the selfing rate and inbreeding depression.
The mating system and gene flow within and among populations in Orchidaceae can
generate common genetic diversity patterns and FSGSs [
12
]. Pollinator-mediated gene flow
among populations, e.g., was higher in deceptive than in rewarding orchids
[12,13]
. The
deceived pollinators generally visit only a limited number of flowers among plants within
populations, facilitating cross-pollination and decreasing the chances of inbreeding [
14
19
].
Therefore, it can be hypothesized that the FSGS of these orchids is weak. In contrast, within-
population genetic structure could be stronger in rewarding ones due to geitonogamy
and mating among close relatives. However, based on earlier experimental orchid stud-
ies, dusty-like seed dispersal was usually limited, e.g., refs. [
20
25
]. These results agree
with studies that have investigated the FSGSs of both deceptive orchids—e.g., Caladenia
tentaculata [
26
], Cephalanthera longibracteata [
22
], Orchis cyclochila [
23
], Orchis purpurea [
27
],
Orchis mascula
[28,29]
, and Cymbidium goeringii [
30
]—and rewarding ones—e.g., Gymnadenia
conopsea [
31
], Pogonia ophioglossoides [
32
], and Epipactis thunbergii [
33
]. Moreover, orchid
germination success has been reported to be higher in the vicinity of mother plants because
a mycorrhiza could favour the establishment of seedlings [34,35].
In this study, we focused on Dactylorhiza taxa, which are food-deceptive orchids that do
not provide any rewards for their pollinators [
36
]. This genus can be considered a model due
to its plant–pollinator interactions, natural selection, and consequent female reproductive
success and its impact on genetic structure in food-deceptive plant groups
[3739]
. In
this context, the mating system and ID in food-deceptive D. majalis,D. incarnata var.
incarnata, and D. fuchsii populations from NE Poland were documented in detail [
40
43
].
A mixed mating system was observed in all three studied Dactylorhiza taxa, similarly
to Hedrén and Nordström’s study [
44
]. Ostrowiecka et al. [
40
] reported that pollinator
behaviour in D. majalis likely encourages geitonogamy, which accounts for the formation
of selfed seeds in fruits at various inflorescence levels, exhibiting germination potential
comparable to that of outcrossed seeds within populations. Vallius et al. [
45
] and Hedrén
and Nordstöm [
44
] proved that different D. incarnata varieties were characterized by a high
level of inbreeding, and populations might consist of several inbred lines that were fixed
for characters, especially with respect to flower colour. Wróblewska et al.’s [
42
] results
corroborate with previous studies on Dactylorhiza concerning the low or medium level of
fruit sets ranging from 7.4% to 77.5% [
36
,
45
,
46
].
In vitro
experiments revealed that the seed
germination of three Dactylorhiza taxa from both natural pollination and hand treatments
(selfing and outcrossing) occurred at a relatively low level, up to 35% (with the exception
of D. fuchsii and outcrossing experiments) [
42
].
In vitro
asymbiotic seed germination was
similar or slightly higher in selfing than crossing experiments in D. incarnata var. incarnata
and D. majalis, while it was reversed in D. fuchsii [
42
]. Spontaneous autogamy in three
Genes 2025,16, 67 3 of 11
Dactylorhiza taxa existed in <1% of pollination in the studied populations and most likely
did not affect reproductive success [
47
,
48
]. The taxa are characterized as terrestrial, long-
lived, self-compatible, tuberous perennial orchids that reproduce primarily via seeds, with
vegetative reproduction occurring rarely [
40
,
49
]. Pollination is carried out by various
insect groups, including Hymenoptera, Diptera, and Coleoptera and predominantly bees
and bumblebees [
40
,
41
]. Molecular markers such as cpDNA (trnL, trnF, and psbC–trnK),
internal transcribed spacer (ITS) sequences, and flow cytometry data have confirmed the
taxonomic status of the three orchids studied [41].
Based on the estimates of an earlier ecological survey, e.g., natural fruit sets, a mixed
mating system, and inbreeding depression from a controlled crosses treatment, orchid
taxa from NE Poland were studied [40,42,43], in addition to the genetic reports of Hedrén
and Nordstöm [
44
] and Naczk et al. [
49
]. We tested the following hypothesis: inbreeding
coefficients are shaped at a high level in food-deceptive orchids D. majalis,D. incarnata var.
incarnata, and D. fuchsii. We also assumed that seed dispersal mainly occurs over a short
distance in orchids that are close to the mother plant, as was observed by many authors
who experimentally researched seed dispersal; therefore, fine-scale genetic structure is
stronger due to the effect of inbreeding and short-distance dispersal. Finally, the purpose
of this study is to (1) estimate the inbreeding coefficient and the intensity of the FSGS
using AFLP markers and (2) discuss how similar mating systems and different inbreeding
depression shape the genetic diversity patterns of three food-deceptive Dactylorhiza taxa.
2. Materials and Methods
2.1. Study Sites
The present study was conducted from May to July between 2014 and 2017 across three
populations of D. majalis (KA, SKI, and SKII), three populations of D. incarnata var. incarnata
(ZB, RO, and MR), and three populations of D. fuchsii (BR, CM, and GR) in northeastern
Poland (Figure 1). D. majalis grows in wet meadows filled with abundant, entomophilous,
and rewarding plants. The study sites varied in the number of D. majalis individuals, with
approximately 120–200 flowering individuals in SKI and SKII and ca. 1000 in KA. All
meadows were managed extensively and mowed annually in late July or early August,
and they were not subjected to artificial fertilization. The three populations of D. incarnata
var. incarnata were of similar size, with MA having ca. 68–100 flowering plants, ZB with
approximately 30–100, and RO with 35–200 (Figure 1). These populations were located in
the Biebrza Valley and Rospuda Valley, occupying sedge communities with a low cover of
rewarding plant species (ca. 10%). Dactylorhiza fuchsii was found in open hornbeam forests
with a limited number of rewarding plants, specifically in the Białowie˙
za Primeval Forest
and nearby areas (CM and BR, with population sizes of approximately 84–133 flowering
plants). One D. fuchsii population (GR, with ca. 140–193 flowering plants) was situated in
the Biebrza Valley [42].
The study involved samples from 455 individuals across nine populations of three
Dactylorhiza taxa, including 162 individuals of D. majalis (DM), 129 of D. incarnata var.
incarnata (DI), and 164 of D. fuchsii (DF) (Table 1; Figure 1). Although Dactylorhiza rarely
regenerates clonally, one leaf sample was collected from individual shoots at least 1 m
apart within D. majalis populations to minimize the effects of population substructure. For
D. incarnata var. incarnata and D. fuchsii, samples were collected based on the positions
of individuals within their respective populations, which were characterized by different
flowering individual densities. Each sample from all populations was mapped using a
grid coordinate system with a handheld GPS (Garmin GPSMAP 65s) to facilitate distance
calculations between samples.
Genes 2025,16, 67 4 of 11
Genes2025,16,xFORPEERREVIEW4of12
Figure1.LocalitiesofnineDactylorhizapopulationsinnortheasternPoland.D.majalis(DM),KA,
SKI,andSKII;D.incarnatavar.incarnata(DI),ZB,MR,andRO;D.fuchsii(DF)CM,BR,andGR
(Wróblewskaetal.2024a[24]).
Thestudyinvolvedsamplesfrom455individualsacrossninepopulationsofthree
Dactylorhizataxa,including162individualsofD.majalis(DM),129ofD.incarnatavar.
incarnata(DI),and164ofD.fuchsii(DF)(Table1;Figure1).AlthoughDactylorhizararely
regeneratesclonally,oneleafsamplewascollectedfromindividualshootsatleast1meter
apartwithinD.majalispopulationstominimizetheeectsofpopulationsubstructure.For
D.incarnatavar.incarnataandD.fuchsii,sampleswerecollectedbasedonthepositionsof
individualswithintheirrespectivepopulations,whichwerecharacterizedbydierent
oweringindividualdensities.Eachsamplefromallpopulationswasmappedusinga
gridcoordinatesystemwithahandheldGPS(GarminGPSMAP65s)tofacilitatedistance
calculationsbetweensamples.
Table1.LocationsofD.majalis(DM),D.incarnatavar.incarnata(DI),andD.fuchsii(DF)populations
inNEPolandandsummarystatisticsofthegeneticdiversityandspatialgeneticstructureestimated
usingSPAGeDi1.4[6].N—numberofAFLPsamples;PL%—frequencyofpolymorphicloci;H
Nei’sgenediversity;FIS—inbreedingcoecient;CI—theupperandlower99%condenceinterval
values;Fij(1)—meanpairwisekinshipcoecientamongindividualsattherstdistanceclass;b1
regressionslopeofpairwisekinshipattherstdistance;Sp—theintensityoftheFSGSaccording
VeckemansandHardy[6].VoucherspecimenswerecollectedbyAdaWróblewskaanddeposited
intheherbariumoftheFacultyofBiology,UniversityofBialystok,Poland.*p<0.05.
TaxaPopulationGPSNPL%HFIS(CI)Fij(1)b1Sp
DMKA52°5300″N
23°4029″E4962.20.2050.293(0.000–1.000)0.095*−0.051*0.056
SKI52°4950″N
23°4310″E5959.60.2050.312(0.000–1.000)0.038*−0.009*0.001
SKII52°4950″N
23°4310″E5440.40.1400.192(0.000–1.000)0.071*−0.021*0.022
DIZB53°2902″N
22°5928″E4858.60.2170.179(0.101–0.284)0.008−0.0020.0002
Figure 1. Localities of nine Dactylorhiza populations in northeastern Poland. D. majalis (DM), KA,
SKI, and SKII; D. incarnata var. incarnata (DI), ZB, MR, and RO; D. fuchsii (DF) CM, BR, and GR
(Wróblewska et al. 2024a [24]).
Table 1. Locations of D. majalis (DM), D. incarnata var. incarnata (DI), and D. fuchsii (DF) populations
in NE Poland and summary statistics of the genetic diversity and spatial genetic structure estimated
using SPAGeDi 1.4 [
6
]. N—number of AFLP samples; PL%—frequency of polymorphic loci; H—Nei’s
gene diversity; F
IS
—inbreeding coefficient; CI—the upper and lower 99% confidence interval values;
F
ij(1)
—mean pairwise kinship coefficient among individuals at the first distance class; b
1
—regression
slope of pairwise kinship at the first distance; S
p
—the intensity of the FSGS according Veckemans and
Hardy [
6
]. Voucher specimens were collected by Ada Wróblewska and deposited in the herbarium of
the Faculty of Biology, University of Bialystok, Poland. * p< 0.05.
Taxa Population GPS N PL%H FIS (CI) Fij (1) b1Sp
DM KA 525300′′ N
234029′′ E49 62.2 0.205 0.293 (0.000–1.000) 0.095 * 0.051 * 0.056
SKI 524950′′ N
234310′′ E59 59.6 0.205 0.312 (0.000–1.000) 0.038 * 0.009 * 0.001
SKII 524950′′ N
234310′′ E54 40.4 0.140 0.192 (0.000–1.000) 0.071 * 0.021 * 0.022
DI ZB 532902′′ N
225928′′ E48 58.6 0.217 0.179 (0.101–0.284) 0.008 0.002 0.0002
RO 535439′′ N
225632′′ E48 58.6 0.197 0.071 (0.022–0.149) 0.224 * 0.055 * 0.063
MR 534725′′ N
225722′′ E33 58.1 0.206 0.098 (0.032–0.218) 0.092 * 0.037 * 0.041
DF CM 524103′′ N
233907′′ E58 68.4 0.234 0.113 (0.034–0.244) 0.078 * 0.021 * 0.019
BR 525059′′ N
235340′′ E57 63.9 0.211 0.134 (0.068–0.226) 0.084 * 0.026 * 0.028
GR 536068′′ E
228468′′ N49 56.7 0.197 0.079 (0.024–0.169) 0.008 0.002 0.0002
2.2. AFLP Analysis
Genomic DNA was extracted from dried leaf tissues using the Genomic Mini AX
Plant kit (A & A Biotechnology, Gdansk, Poland), and the samples were genotyped for
AFLP markers. The AFLP procedure, as outlined by Vos et al. [
50
], was adapted following
the Applied Biosystems protocol (AFLPTM Plant Mapping). Initially, 12 primer pair
combinations were tested on four selected samples from each Dactylorhiza taxon. The
Genes 2025,16, 67 5 of 11
GeneScan 500 Liz-labelled size standard (Applied Biosystems, Waltham, MA, USA) was
employed for DNA analysis on an ABI 3130. Subsequently, seven primer combinations
were selected that yielded polymorphic, clear, and reproducible fragments of consistent
intensities across the three Dactylorhiza taxa (D. majalis EcoR1-ACC/MseI-CAG, EcoR1-
AGG/MseI-CAC; D. incarnata var. incarnata EcoR1-ACA/MseI-CAG, EcoR1-ACA/MseI-
CTA; D. fuchsii EcoR1-AGG/MseI-CAG, EcoR1-ACC/MseI-CAT, EcoR1-ACC/MseI-CTA).
Variable fragments in the 70–500 bp size range were recorded as present (1) or absent
(0) using GeneMapper 4.0 (Applied Biosystems). To assess the repeatability of the AFLP
results, three individuals from each population were fully replicated, starting from the
restriction/ligation step of the AFLP process. The potential resampling of clones was
evaluated using the AFLPdat R-script but was determined to be insignificant and therefore
not corrected for.
To evaluate genetic diversity, the proportion of polymorphic fragments (PL%) and
Nei’s gene diversity (H) were calculated using the Bayesian method with a nonuniform
prior distribution of allele frequencies as proposed by Zhivotovsky [
51
] and implemented
in AFLP-Surv version 1.0 [
52
]. The Fstatistic was determined through analysis of molecular
variance (AMOVA) using Arlequin 3.11 [
53
], with the significance of variance components
assessed using 1000 independent permutation runs.
The fine-scale genetic structure (FSGS) was analyzed through spatial autocorrela-
tion using the pairwise kinship coefficient F
ij
for dominant markers [
54
]. Mean F
ij
esti-
mates for pairs of individuals across specified distance classes were calculated and plotted
against distance on a logarithmic scale with SPAGeDi 1.4 [
6
,
54
]. Distinct distance classes
were created for each population of D. majalis,D. incarnata var. incarnata, and D. fuchsii
due to varying spatial distribution/density patterns. To evaluate the significance of the
FSGS, the regression slopes (b) of kinship coefficients against the natural logarithm of
distance were compared to slopes obtained from the permutations of individual genotypes
(
10,000 random permutations
). The extent of the FSGS was quantified using the S
p
statistic
as proposed by Vekemans and Hardy [
6
] and calculated as S
p
=
b/(1
F
1
), where bis the
regression slope and F
1
represents the average F
ij
between individuals. For each spatial
distance class, the 99% confidence interval was determined using 10,000 permutations
(with SPAGeDi) [
55
]. The probability value (p) was computed for each spatial distance class
and coefficient.
To investigate the F
IS
, the Metropolis–Gibbs algorithm was applied in the I4A software
based on dominant markers [
56
]. The data were run using prior values of beat distri-
bution equal to
α
=
β
= 1.0 (corresponding to an “uninformative” flat distribution) and
60,000 repetitions, including a 10,000-step burn-in.
3. Results
Overall, 193, 215, and 263 polymorphic bands were scored in D. majalis,D. incarnata
var. incarnata, and D. fuchsii, respectively. Considering the error rates (2%, 1.3%, and 1.5%,
respectively), none of the samples may have represented clones.
Relatively high proportions of polymorphic fragments (PL% = 40.4–68.4%) and Nei’s
gene diversity indices (H= 0.140–0.234) were detected among the three orchid species
(Table 1). The overall F
IS
was relatively low to moderate, and it equaled 0.071–0.224 in
D. incarnata var. incarnata and 0.079–0.134 in D. fuchsii; it reached the highest values of
0.192–0.312 in D. majalis.
The correlograms of the average F
ij
values for the populations of three Dactylorhiza taxa
exhibited significantly positive values, which were observed in the short-distance classes.
In D. majalis, the relatives were noted at a distance from 1 m to 10 m (Figure 2), and the
values were significantly negative with respect to the longer distance classes (52–72 m) in
Genes 2025,16, 67 6 of 11
the two other populations. Similar observations were made in two of the three populations
of D. incarnata var. incarnata and D. fuchsii. Significant positive values were observed at a
distance from 2 m to 20 m in D. incarnata var. incarnata (Figure 2) and from 2 m to 10 m in
D. fuchsii (Figure 2). The b
F
values for D. majalis (
0.051–0.009), D. incarnata var. incarnata
(
0.055–0.002), and D. fuchsii (
0.026–0.002) were almost all significant (permutation test,
p< 0.05
) (Table 1). The highest Sp values were observed for D. incarnata var. incarnata
(0.063) and D. majalis (0.056) (Table 1).
Genes2025,16,xFORPEERREVIEW6of12
3.Results
Overall,193,215,and263polymorphicbandswerescoredinD.majalis,D.incarnata
var.incarnata,andD.fuchsii,respectively.Consideringtheerrorrates(2%,1.3%,and1.5%,
respectively),noneofthesamplesmayhaverepresentedclones.
Relativelyhighproportionsofpolymorphicfragments(PL%=40.4.5–68.4%)and
Nei’sgenediversityindices(H=0.140–0.234)weredetectedamongthethreeorchidspe-
cies(Table1).TheoverallFISwasrelativelylowtomoderate,anditequaled0.071–0.224
inD.incarnatavar.incarnataand0.079–0.134inD.fuchsii;itreachedthehighestvaluesof
0.192–0.312inD.majalis.
ThecorrelogramsoftheaverageFijvaluesforthepopulationsofthreeDactylorhiza
taxaexhibitedsignicantlypositivevalues,whichwereobservedintheshort-distance
classes.InD.majalis,therelativeswerenotedatadistancefrom1mto10m(Figure2),
andthevaluesweresignicantlynegativewithrespecttothelongerdistanceclasses(52–
72m)inthetwootherpopulations.Similarobservationsweremadeintwoofthethree
populationsofD.incarnatavar.incarnataandD.fuchsii.Signicantpositivevalueswere
observedatadistancefrom2mto20minD.incarnatavar.incarnata(Figure2)andfrom
2mto10minD.fuchsii(Figure2).ThebFvaluesforD.majalis(0.051–0.009),D.incarnata
var.incarnata(0.055–0.002),andD.fuchsii(0.026–0.002)werealmostallsignicant(per-
mutationtest,p<0.05)(Table1).ThehighestSpvalueswereobservedforD.incarnatavar.
incarnata(0.063)andD.majalis(0.056)(Table1).
Figure2.SpatialcorrelogramsforD.majalis,D.incarnatavar.incarnata,andD.fuchsiipopulations
withthemeanpairwisekinshipcoecients(Fij)ofdistanceclassesforAFLPswithrespecttothe
hypothesisofrandomgeneticstructureobtainedbypermutingindividualspatiallocations,asim-
plementedinSPAGeDi1.4[6].Thedoedlinesindicatethe99%condenceintervalsobtainedfrom
10,000permutationsofgenotypes.Codesofpopulations(KA,SKI,SKII,ZA,MR,RO,CM,BR,and
GR;seeTable1);*p<0.05.
Figure 2. Spatial correlograms for D. majalis, D. incarnata var. incarnata, and D. fuchsii populations
with the mean pairwise kinship coefficients (F
ij
) of distance classes for AFLPs with respect to the
hypothesis of random genetic structure obtained by permuting individual spatial locations, as
implemented in SPAGeDi 1.4 [
6
]. The dotted lines indicate the 99% confidence intervals obtained
from
10,000 permutations
of genotypes. Codes of populations (KA, SKI, SKII, ZA, MR, RO, CM, BR,
and GR; see Table 1); * p< 0.05.
Almost all F
ST
values were significant in each Dactylorhiza taxon, ranging from the
lowest values in D. fuchsii and D. majalis (0.080 and 0.086, p< 0.05, permutation test) to the
highest value (0.163, p< 0.05, permutation test) in D. incarnata var. incarnata. The amount
of molecular variance was highest within populations, and it was maintained at relatively
higher and similar levels in D. majalis,D. incarnata var. incarnata, and D. fuchsii (AMOVA:
76.5%, 85.5%, and 86.6%; p< 0.001, respectively).
4. Discussion
The relationships among mating systems, inbreeding depression, biparental inbreed-
ing, and their effects on F
IS
and F
ST
have been infrequently documented in plant sur-
veys [
11
]. Baskin and Baskin [
57
] summarized the impact of inbreeding depression on seed
germination across 743 instances involving 233 species from 64 families. They found that
in 50.1% of the cases, inbred and outcrossed seeds germinated at comparable frequencies,
while 8.1% of inbred ones exhibited better germination rates than outcrossed seeds. In-
terestingly, the authors observed no strong correlation between decreased germination
Genes 2025,16, 67 7 of 11
rates and increased F
IS
nor between increased germination rates and heightened levels of
population genetic diversity. However, we observed concordant genetic diversity patterns
in food-deceptive, allogamous, and pollinator-dependent populations, although these were
also self-compatible with the mixed mating systems of D. majalis,D. incarnata var. incarnata,
and D. fuchsii. Genetic diversity within studied Dactylorhiza populations was shaped at
a relatively high level comparable to the data reported by Naczk et al. [
49
] and Hedrén
and Nordström [
44
,
58
], suggesting that studied Dactylorhiza populations can be found via
genetically different individuals and/or gene flow via leptokurtic dispersal. The genetic
differentiation among them was low and significant (0.080–0.163), showing that gene flow
(historical) in northeastern Poland was relatively high or populations were established
from one source. However, the isolation processes of these Dactylorhiza populations were
observed, resulting in the formation of a substructure.
Furthermore, the inbred population was shaped from moderate to high levels in three
Dactylorhiza taxa, similarly to the studies of Hedrén and Nordström [
44
], Filippov et al. [
59
],
and Naczk et al. [
49
]. Meanwhile, in D. majalis as the allotetraploid, F
IS
exhibited a wide
range of values in the populations reported by Balao et al. [
60
], Hedrén and Nordström [
44
],
and Naczk and Zi˛etara [
61
]. Let us assume the prediction that inbreeding is solely the result
of mating among neighbouring plants. In this case, we expect F
IS
to be approximately equal
to F
ij
at the smallest distance interval in the studied Dactylorhiza populations [
6
]. In our
survey, F
IS
was substantially higher than F
ij
with respect to the first class of spatial distances
in most Dactylorhiza populations, suggesting that selfing is at least partially responsible for
homozygosity [
56
,
62
]. However, spontaneous autogamy in three Dactylorhiza taxa existed
until 1% of pollination in the studied populations [
47
,
48
]. Hence, the only explanation
of selfing in three Dactylorhiza taxa is the pollinator behaviour of bumblebees and other
pollinators, which are known to promote geitonogamy and/or autogamy, explaining the
development of selfed seeds [
40
,
41
]. The important factor shaping F
IS
was the slightly
higher selfing frequency compared to outcross seeds germinated in
in vitro
treatments
in D. majalis and D. incarnata var. incarnata, while in D. fuchsii, the germination pattern
was reversed [
42
]. This phenomenon suggested that inbred and outbred D. majalis and D.
incarnata var. incarnata seeds germinated at a similar or even slightly higher frequency. We
stress the careful interpretation of the relationship between seed germination and F
IS
. This
needs to be confirmed in further studies, including the growth and mortality observations
of plants germinated from selfed and outcrossed seeds in the following stages. However,
our data are related to a single studied Dactylorhiza species, and we can suppose that in D.
fuchsii, a similar pattern exists in two out of three populations, such as D. majalis and D.
incarnata var. incarnata. In the CM and BR populations, high inbreeding and slightly lower
kinship coefficients supported the possibility of selfing (geitonogamy). The interesting
question is whether biparental inbreeding can exist in food-deceptive Dactylorhiza taxa,
even though pollinators spend a short time period on flowers and inflorescence and learn
to avoid deceptive flowers. They typically only visit fewer flowers per plant and/or a
few flowers between inflorescences within populations, promoting cross-pollination and
skipping more plants between plant visits. In light of this outcrossing hypothesis [
15
],
biparental inbreeding is rather unlikely. Using videotaping, Ostrowiecka et al. [
40
] observed
that Apis mellifera visited three to five flowers on the same inflorescence within 11 to 40 s,
contributing to geitonogamy. Our observations noted that A. mellifera pollinators did not
return to the same flowers and avoided visiting all flowers on the inflorescences. Conversely,
the bending of pollinaria serves as a mechanism to prevent geitonogamy and biparental
inbreeding among closely related individuals. In Dactylorhiza, the average bending time
is 39–54 s, which is considered relatively long for deceptive plants and similar to other
deceptive Dactylorhiza taxa [
63
]. The bending time observed in each studied D. majalis
Genes 2025,16, 67 8 of 11
population ranged from 8 s to 2 min and 5 s [
40
]. This relatively short bending time may be
an opportunity for geitonogamy. This observation and the bending times in the studied
Dactylorhiza populations support our hypothesis that geitonogamy cannot be completely
ruled out in deceptive orchids compared to biparental inbreeding. Dactylorhiza seems
to possess a more generalized pollination system, and numerous pollinators have been
described and studied in detail. These pollinators can spend different amounts of time on
the flowers, promoting geitonogamy.
Hand pollination using emasculated flowers was employed to assess the extent of
apparent geitonogamy occurring via pollinators [
64
,
65
]. A previous fruit set observation
from controlled pollination in three Dactylorhiza documented a moderate level of fruit set
(35.4–40.5%). Simultaneously, emasculation experiments in their populations showed a
significant decrease in fruiting between these treatments (D. majalis, 28.2% fruit set from
emasculated flower, paired t = 2.68, df = 8, p< 0.002; D. incarnata var. incarnata, 14.6%
fruit set from emasculated flower, paired t = 3.46, df = 10, p< 0.006; D. fuchsii, 28.2%
fruit set from emasculated flower, paired t = 4.83, df = 10, p< 0.0007; Wróblewska et al.
unpublished data [
66
]). This study concludes that selfing in three Dactylorhiza occurs
mainly through geitonogamy. Kropf and Renner [
17
] have also pointed out the high levels
of geitonogamous pollination in Dactylorhiza; measuring biparental inbreeding can be
challenging in deceptive plants.
The F
IS
observed at the adult stage enabled the assessment of inbreeding depression
impacts on the population’s genetic structure. In long-lived plants, F
IS
reflects inbreeding
not only in the current generation but also in previous overlapping generations. However,
other factors, such as the long lifespan of plants, can affect inbreeding depression [
11
].
In D. majalis, selfing (e.g., geitonogamy) and/or progeny and likely seed dispersal in
the vicinity of the mother plant can manifest most strongly in spatial genetic structures.
In the case of D. majalis, the results of the present study are inconsistent with those of
Husband and Schemske [
67
], who concluded that purging is a significant evolutionary
force in natural populations. Without reducing the genetic load, such fixation could
reduce inbreeding depression [
67
,
68
]. However, inbreeding depression may be lower in
long-standing populations with inbreeding than in populations with outcrossing, where
selection may have purged the genome of its genetic load [
67
70
]. These two alternative
approaches in a laboratory should be tested at a later stage of the life cycle of D. majalis,
such as in seedlings and adult reproductive individuals.
5. Conclusions
Selfing (meaning of geitonogamy) and a strong fine-scale genetic structure may have
additional and unexplored evolutionary consequences in Dactylorhiza, and combined with
low inbreeding depression, they may strongly influence the establishment of inbred lines
in the cases of D. majalis and D. incarnata var. incarnata. Currently, we cannot state that
inbreeding depression may be widely viewed as the primary selective factor allowing
transitions to complete selfing in Dactylorhiza. On the other hand, there are still limited
studies on breeding systems and pollinator behaviour in deceptive multi-flowered orchids,
which could shed light on geitonogamy and biparental inbreeding. Our study stressed
that different Dactylorhiza food-deceptive taxa with varying levels of inbreeding depression
can characterize similar FSGSs and inbreeding coefficients. Despite these distinct patterns
of inbreeding depression, FSGSs comprise the formation of local family structures in
Dactylorhiza taxa due to limited gene dispersal (e.g., seeds) and geitonogamy.
Author Contributions: Conceptualization, A.W.; methodology, A.W. and B.O.; software, A.W.;
validation, A.W.; formal analysis, A.W.; investigation, A.W., B.O., E.J. and I.T.; writing—original draft
preparation, A.W.; writing—review and editing, A.W.; visualization, A.W.; supervision, A.W.; project
Genes 2025,16, 67 9 of 11
administration, A.W.; funding acquisition, A.W. and I.T. All authors have read and agreed to the
published version of the manuscript.
Funding: This research was funded by the National Science Center in Poland (no. 2013/09/B/NZ8/03350).
Institutional Review Board Statement: Not applicable.
Informed Consent Statement: Not applicable.
Data Availability Statement: All data cited in the study are publicly available.
Acknowledgments: We thank Emilia Brzosko and Paw Mirski for their help and support during fieldwork.
Conflicts of Interest: The authors declare no conflicts of interest.
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Context Australia has numerous threatened species of terrestrial orchid, with a particularly high incidence of rarity in the genus Prasophyllum R.Br. Although there has been research on mycorrhizal associations and propagation, little is known about the reproductive ecology of threatened Prasophyllum. Understanding which animals are responsible for pollination and the impact of herbivores on reproduction may inform conservation actions. Aims For the nationally Critically Endangered Prasophyllum innubum, we aimed to determine the pollinator species, test for self-pollination, quantify levels of reproductive success and herbivory, and identify herbivores. Methods Pollinator observations were undertaken at wild populations of P. innubum, whereas an experiment testing for self-pollination was undertaken in shadehouse conditions. We quantified reproductive success and herbivory at two populations and attempted to identify herbivores using game cameras. Key results Pollination occurred via three species of bee and a sphecid wasp, all of which attempted feeding on floral nectar. Fruit set averaged 72–84% at wild sites, whereas only 6% of flowers set fruit via self-pollination when insects were excluded. Just 4% of inflorescences were completely consumed by herbivores, and no herbivory was captured on camera. Conclusions P. innubum has a generalist rewarding pollination system that confers high levels of reproductive success, with herbivory having little impact on reproduction. Implications Pollinator availability is unlikely to restrict conservation translocation site selection of P. innubum because of a generalist pollination system. If herbivores are a threat for this species, it is likely to be through alteration of habitat rather than direct grazing.
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A large suite of floral signals, and environmental and biotic characteristics influence the behavior of pollinators, affecting the female success of food‐deceptive orchids. In this study, we examined the many factors shaping the reproductive output of three orchid taxa: Dactylorhiza majalis , D. incarnata var. incarnata , and D. fuchsii . We applied a statistical model to correlate female success (number of fruit sets) with individual characteristics (plant and inflorescence height, number of flowers, and spur length), number of pollinaria removed, flowering time, and density of floral units of co‐flowering rewarding plants. Our findings suggested that the broad spectrum of variations in Dactylorhiza's morphological traits, floral display, and flowering phenology within different environmental contexts has a significant impact on their reproductive success. The number of fruits increased with an increase in the number of pollinaria removed in the studied Dactylorhiza taxa. In contrast, a higher number of flowers per inflorescence and higher inflorescences in relation to individual height always decreased fruit set. We observed that low number of co‐flowering rewarding plants in populations could affect the Dactylorhiza reproductive output as magnets and competitor plants. The synchronization of flowering, or lack thereof, between Dactylorhiza and rewarding plants can limit reproductive success. This demonstrates that the food deception strategy is multidirectional, and reproductive output can vary considerably both spatially and temporally within the context of this strategy.
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Introduction Inbreeding depression (ID) in food-deceptive plants have been reported previously, however, it has not been often proven that selfed seeds germinate better than outbred ones or that selfing affects ID. To resolved these issues, food-deceptive related Dactylorhiza majalis, D. incarnata var. incarnata and D. fuchsii orchids were investigated. Methods Hand pollination treatments and control pollination were conducted. Fruit set, number of seeds per fruit, seed length, number of well-developed seeds per fruit, and proportion of in vitro asymbiotic germination seeds, were analyzed in relation to inflorescence levels and used as fitness indicators for these orchids. The ID and pollen limitation were measured. Results The lowest ID (δ = −1.000) was in D. majalis, and present in combination with a high pollen limitation in its populations. D. fuchsii showed higher ID (δ = 0.366), and D. incarnata var. incarnata weak ID (δ = 0.065), although ID varied between its fitness components. The seed number per fruit differed significantly between the treatments and the inflorescence levels in treatments. Discussion This study emphasizes that the breeding system rather than the flower position on the inflorescence shaped the quality and quantity of reproductive output. The ID and its effect on germination of food-deceptive orchid seeds undoubtedly played an important role.
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Background and aims: Angiosperms vary remarkably in traits such as colour, size and shape of flowers, yet such variation generally tends to be low within species. In deceptive orchids, however, large variation in floral traits has been described, not only between, but also within populations. Nonetheless, the factors driving variation in floral traits in deceptive orchids remain largely unclear. Methods: To identify determinants of variation in floral traits, we investigated patterns of fruit set and selection gradients in the food-deceptive orchid Orchis purpurea, which typically presents large within-population variation in the colour and size of the flowers. Using long-term data, fruit set was quantified in two populations during sixteen consecutive years (2004-2019). Artificial hand pollination was performed to test the hypothesis that fruit set was pollinator limited and that selfing led to decreased seed set and viability. Annual variation (2016-2019) in selection gradients was calculated for three colour traits (brightness, contrast and the number of spots on the labellum), flower size (spur length, labellum length and width) and plant size (number of flowers, plant height). Key results: Fruit set was, on average, low (~12%) and severely pollinator limited. Opportunities for selection varied strongly across years, but we found only weak evidence for selection on floral traits. In contrast, there was strong and consistent positive selection on floral display. Selfing led to reduced production of viable seeds and hence severe inbreeding depression (δ = 0.38). Conclusion: Overall, these results demonstrate that the large variation in flower colour and size that is regularly observed in natural O. purpurea populations is maintained by the consistent lack of strong selection pressures on these traits through time.
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Pollinator foraging behavior plays a key role in breeding and therefore affects the evolution of the orchid reproductive strategy. Food-deceptive orchids usually implement a generalized plant pollination strategy and a relatively diverse group of pollinators visit them. Dactylorhiza majalis is a food-deceptive, early-flowering orchid that relies on insect-mediated pollination. This study’s objectives were to identify D. majalis’ pollinators and flower visitors and their foraging behaviors on D. majalis inflorescences. We also assessed the bending movement time to determine the relationship between bending time and the duration of pollinators’ visits. To assess pollination efficiency, we measured the spur length of D. majalis flowers, which is expected to affect the mechanical fit to pollinators/“potential” pollinators. The arthropod fauna were investigated to examine the availability of “potential” pollinators in populations. We identified Apis mellifera as this orchid’s main pollinator and confirmed that few of the flower visitors belonged to Diptera (12 individuals, 9 taxa), Hymenoptera (3 individuals, 3 taxa), or Coleoptera (2 individuals, 2 taxa) in our dataset, which was collected over a 2-year period and includes 360 h of video. The arthropods were collected by a sweep net in D. majalis populations and there were fewer Hymenoptera (2.9–23.2%) and Coleoptera (4.4–23.8%) visitors but more Diptera (23.3–58.6%) visitors. We found that A. mellifera foraged in different ways on D. majalis inflorescences, thereby resulting in cross-pollination and/or geitonogamy; however, the bending time data supported the hypothesis about promoting cross-pollination while decreasing self-pollination, but these data do not exclude the possibility of geitonogamy.
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We analysed 16 populations of Dactylorhiza majalis subsp. majalis located in the northern Poland, simultaneously utilizing both morphological and molecular data. Genetic differentiation was examined using five microsatellite loci, and morphological variation was assessed for 23 characters. At the species level, our results showed a moderate level of genetic diversity (A = 6.00; Ae = 1.86; Ho = 0.387; FIS = 0.139) which varied between studied populations (A = 2.60‐4.20; Ae = 1.68‐2.39; Ho = 0.270‐0.523; FIS = –0.064‐0.355). A significant excess of homozygotes was detected in five population, while excess of heterozygotes was observed in four populations, but obtained values were statistically insignificant. Moderate, but clear genetic differentiation was found (FST = 0.101; P < 0.001). Considering the obtained pairwise‐FST and number of migrants, we indicated three population groups (I, II, III), where the first one can be divided into two smaller subgroups (Ia, Ib). These three groups differed in the gene flow values (Nm = 0.39‐1.12). The highest number of migrants per generation was noticed in the subgroup Ia (8.58). It indicates a central panmictic population with free gene flow surrounded by peripatric local populations (Ib) with more limited gene flow. Geographic isolation, habitat fragmentation and limited seed dispersal affect limited gene flow among three indicated population groups . A weak but significant pattern of isolation by distance was also observed (r = 0.351; P < 0.05). This article is protected by copyright. All rights reserved.
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Deceptive plants represent a strategy that promotes outcrossing and protects against facilitated selfing. However, deception does not eliminate the possibility of autonomous self-pollination when pollinators are scarce or absent. Spontaneous autogamy is widespread in Orchidaceae, but the scale, mechanism, time of appearance and effectiveness remain underestimated. Using field and laboratory observations and experiments, for the first time, we documented the possibility of autonomous self-pollination in the deceptive orchid Dactylorhiza fuchsii, which might occur through the previously unspecified mechanism in the tribe Orchideae of caudicle reconfiguration. Self-pollination occurred through the pollinarium twisting to the side and downwards, which was different than caudicle bending forward on the body of pollinators. Caudicle reconfiguration was continuously distributed during anthesis and was common in the studied populations. This mechanism was independent on the flower position in the inflorescence, but was sensitive to pollinator activity. (The frequency of caudicle reconfiguration increased when more pollinaria in the inflorescence were untouched.) This process was effective (self-pollination leading to autogamous fruits and seeds) only when a full caudicle rotation occurred and the pollinium touched the stigma. However, most caudicle reconfigurations were completed before the stigma was reached, resulting in less than 1% of autogamous pollination in the studied populations.
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Premise Density‐dependent pollinator visitation can lead to density‐dependent mating patterns and within‐population genetic structure. In Gymnadenia conopsea , individuals in low‐density patches receive more self pollen than individuals in high‐density patches, suggesting higher relatedness at low density. Ongoing fragmentation is also expected to cause more local matings, potentially leading to biparental inbreeding depression. Methods To evaluate whether relatedness decreases with local density, we analyzed 1315 SNP loci in 113 individuals within two large populations. We quantified within‐population genetic structure in one of the populations, recorded potential habitat barriers, and visualized gene flow using estimated effective migration surfaces (EEMS). We further estimated the magnitude of biparental inbreeding depression that would result from matings restricted to within 5 m. Results There was no significant relationship between local density and relatedness in any population. We detected significant fine‐scale genetic structure consistent with isolation by distance, with positive kinship coefficients at distances below 10 m. Kinship coefficients were low, and predicted biparental inbreeding depression resulting from matings within the closest 5 m was a modest 1–3%. The EEMS suggested that rocks and bushes may act as barriers to gene flow within a population. Conclusions The results suggest that increased self‐pollen deposition in sparse patches does not necessarily cause higher selfing rates or that inbreeding depression results in low establishment success of inbred individuals. The modest relatedness suggests that biparental inbreeding depression is unlikely to be an immediate problem following fragmentation of large populations. The results further indicate that habitat structure may contribute to governing fine‐scale genetic structure in G. conopsea .