Mating systems in fragmented landscape: the case of a tropical Caesalpiniaceae species S Chauvet 1,2, C Dutech 3, N Raufaste 4 and BE Giles2 1
Muséum National d'Histoire Naturelle, Département Ecologie et Gestion
de la Biodiversité, UMR 8571 CNRS-MNHN, 4 av. du Petit Château, F91800 Brunoy, France 2
Department of Ecology and Environmental Science, Umeå University, SE-
90187 Umeå, Sweden. 3
Laboratoire de Génétique et d’Ecologie Moléculaire, Cirad-forêt, BP 701,
97387 Kourou cedex, France. and: INRA, UMR Biodiversité, Gènes et Ecosystèmes, Domaine de la Grande Ferrade, BP81, F-33883 Villenave d’Ornon, France. 4
Laboratoire Génômes, Populations et Interactions, UMR 5000, cc 63,
Université Montpellier II, Place Eugène Bataillon, 34095 Montpellier Cedex, France. Corresponding author: Stéphanie Chauvet, Department of Ecology and Environmental Science, Umeå University, SE-90187 Umeå, Sweden. Phone: +46 90 786 71 35; Fax: +46 90 786 67 05;
[email protected] Keywords: forest fragmentation, mating system, microsatellites, neotropical rainforest, pollen dispersal, Vouacapoua americana. Running title: Mating and gene flow in a fragmented forest Main text: 4136 words.
1
Abstract
2
Tropical forest tree species are predominantly outcrossed. However,
3
changes in mating systems can occur in response to forest fragmentation, as
4
reductions in population size and restricted gene flow can increase rates of
5
selfing and mating between relatives. In this study, the mating system of
6
Vouacapoua americana (Caesalpiniaceae) was examined using five
7
polymorphic microsatellite markers in two populations from a recently
8
fragmented landscape: one located in a forest fragment, and another in
9
continuous forest. Both populations had very low selfing rates (< 5 %),
10
suggesting that mating systems were little affected by the recent
11
fragmentation. These populations were also genetically different in both
12
adult and offspring stages and in pollen clouds, and may therefore be
13
considered as independent reproductive units. We propose that this
14
restricted gene flow could make Vouacapoua americana strongly vulnerable
15
to long-term effects of fragmentation and to dramatic decrease in number of
16
reproductive individuals.
2
17
Introduction
18
In tropical forests, mating systems of tree species are predominantly
19
outcrossed, with selfing rate often lower than 20 percent in most studied
20
species (Hamrick and Murawski, 1990; Bawa, 1992). However, mating
21
systems can be influenced by several factors, including conspecific adult
22
density, composition and behavior of the pollinator community, and forest
23
fragmentation (Bawa, 1990; Murawski et al, 1994; Doligez and Joly, 1997;
24
Aldrich et al, 1998). In fragmented forests, smaller effective population
25
sizes and limited gene flow may dramatically increase rates of selfing and /
26
or matings between relatives, leading to an increase of consanguinity across
27
generations and consequently a loss of fitness in progeny (Charlesworth and
28
Charlesworth, 1987). Increased inbreeding can also be responsible for a
29
decrease in fruit set and / or a reduction in seed viability (Wiens, 1984;
30
Jennersten, 1988; Aizen and Feinsinger, 1994; Ghazoul et al, 1998).
31
Unfortunately, the effects of such environmental changes on mating systems
32
remain unknown for most tropical tree species, and further investigations
33
are needed. The expected increased spatial isolation and reduced effective size of
34 35
fragmented populations are expected to induce an erosion of genetic
36
variation within populations and an increase in genetic divergence among
37
populations, through founder effects, genetic drift, inbreeding and reduced
38
gene flow (Ellstrand and Elam, 1993; Young et al, 1996). Among the
3
39
proximal factors responsible for reduced gene flow, the alteration of pollen-
40
vector interactions in fragmented habitats is of particular importance
41
(Rathcke and Jules, 1993). Biotic pollination is ubiquitous in tropical
42
lowland rainforests, with over 98 % of forest tree species depending on
43
animals, especially insects, for pollen dispersal (Bawa, 1990). The
44
dominance of insect pollination suggests that tropical tree species can be
45
particularly vulnerable to disruption of pollen-vector associations in
46
fragmented habitats (Powell and Powell, 1987; Nason et al, 1997). Indeed,
47
research in Amazonian fragments indicated that clearings as little as 100
48
meters wide can diminish inter-fragment movements for some insects, and
49
that both abundance and diversity of insect pollinators decreases in
50
fragmented landscapes (Vinson et al, 1993; Didham et al, 1996). However,
51
for some tropical tree species, pollen flow via insects has been reported over
52
long-distances, such as for Dipterocarpaceae in Thailand (Konuma et al,
53
2000), and Meliaceae in Honduras (White et al, 2002). It is therefore of
54
primary importance to assess the frequency of pollen exchanges between
55
tree populations in fragmented landscapes for different species, in order to
56
evaluate the general effects of fragmentation on gene flow. In this study, we focused on the mating system of a neotropical
57 58
forest tree species, Vouacapoua americana (Caesalpiniaceae), in a
59
fragmented landscape in French Guiana. This species is a canopy tree with
60
hermaphroditic flowers pollinated by small insects and characterized by
4
61
limited effective pollen flow (Dutech et al, 2002). It is therefore likely to be
62
affected by disruption of its pollen-vector interactions in fragmented
63
habitats. We analyzed progeny arrays of V. americana for two populations:
64
one in a fragmented forest remnant, and another in continuous forest. Five
65
polymorphic microsatellite loci were analyzed in order to: (i) describe the
66
mating system of V. americana in both populations and determine whether
67
the selfing rate is enhanced in the isolated population; (ii) assess whether
68
pollen flow is more restricted in the isolated population than in continuous
69
forest due to alterations in pollen-vector interactions; and (iii) examine the
70
extent of pollen movement between the two populations.
71 72
Materials and methods
73
Species studied
74
Vouacapoua americana (Caesalpiniaceae) is a canopy tree species present
75
in mature tropical rainforest from Amazonian Brazil to French Guiana and
76
Suriname. The distribution of this species is strongly aggregated, and its
77
density within clusters is about ten individuals per hectare (diameter at
78
breast height [dbh] > 10 cm) (Forget et al, 1999). It is a hermaphroditic
79
species with small yellow fragrant flowers measuring a few millimeters
80
long, suggesting that insects such as Hymenoptera or Thysanoptera (e.g.
81
Thrips) are involved in pollination (Bawa, 1990; Dutech et al, 2000b).
82
Reproductive phenology is discontinuous and irregular across years, as is
5
83
characteristic for “mast-fruiting” species (sensu Janzen, 1974). In French
84
Guiana, blooming and fruiting occur respectively in February-March and
85
April-June, and is synchronous over the landscape. Minimum diameter
86
observed for reproducing individuals is 22 cm dbh (Chauvet, 2001). The
87
fruit is a pod containing one (rarely two) large seed (ca. 30 g), which is
88
exclusively dispersed by scatterhoarding rodents (Forget, 1990). Dispersal
89
distances are generally short (< 10 meters from seed sources) with
90
occasional dispersal up to 30 meters. However evidences for some long-
91
distance dispersal events (> 150 m) have been reported (S. Traissac, pers.
92
comm.).
93 94
Study site
95
Our study took place in French Guiana, at Saint-Eugène (4°51’ N, 53°04’
96
W; Claessens et al, 2002). The study sites are located on the Sinnamary
97
River, above a hydroelectric dam built in the early 1990’s and flooded
98
during 1994-95. This flooding caused the forest to be fragmented into a
99
large number of islands, of various shapes and sizes (from 0.1 to 67 ha), and
100
degrees of isolation (ca. 20 to 500 m). Because of the clustered distribution
101
of V. americana even before flooding, this species is absent from some
102
fragments, and when present, its population sizes vary. We studied two
103
populations, one where V. americana is widely extended over a peninsula of
104
continuous forest, and another on an island where the species is more
6
105
restricted (Figure 1). The island encompasses two populations, likely to be
106
the remnants of two former aggregates. The first population is located at the
107
north-eastern side (N = 25 trees), and the second one at the south-western
108
side of the island (N = 30 trees), resulting in a total of only 55 trees (with
109
dbh > 20 cm) for a 28-ha island. In this study, we focused on the north-
110
eastern population, distributed over 4 hectares with a local density of about
111
6 individuals per hectare. The experiment was conducted over an equivalent
112
4-ha area in the continuous forest that in contrast exhibits 40 trees (with dbh
113
> 20 cm), i.e. 10 individuals per hectare (Figure 1). In addition to this
114
contrasting local density, these two populations also differ in the diameter
115
distribution of the V. americana trees greater than 20 cm dbh, as 10 trees out
116
of 25 on the island have dbh ranging from 20 to 25 cm, while only one out
117
of 40 in the continuous forest falls in this range, suggesting that the island
118
population is a more recent stand than the one in continuous forest. The two populations under study are separated from each other by
119 120
about 500m of water (Figure 1), and are referred to as populations of forest
121
F and island I, respectively.
122 123
Sampling
124
In the island I population, trees of small diameter (i.e. 20 < dbh < 25 cm)
125
only produced a limited number of fruits (S. Chauvet, pers. obs.). In
126
consequence, we only studied the13 trees at island I that produced at least
7
127
100 fruits, whereas 20 trees were randomly chosen within the forest F
128
population. In order to assess the effect of fragmentation on mating system,
129
we collected seeds produced from mating that occurred four years after
130
fragmentation, namely in May 1998. For the 33 trees, 60 seeds per tree were
131
collected from the ground, and germinated in a greenhouse. Leaf samples
132
were collected from 10 randomly selected seedlings per tree, giving a total
133
sample size of 330. All leaves collected were stored fresh at –80°C for later
134
genetic analysis.
135 136
DNA extraction and microsatellite analysis
137
Total DNA was extracted in liquid nitrogen and a CTAB buffer, following
138
the protocol outlined in Dutech et al (2000b). Individual genotypes of
139
progenies were assessed using five polymorphic microsatellite loci isolated
140
from the nuclear genome of V. americana (Wac1, Wac5, Wac7, Wac10, and
141
Wac13; Dutech et al, 2000a). Amplification of DNA was performed using a
142
Polymerase Chain Reaction (PCR) method following Dutech et al (2000a).
143
PCR products were separated by electrophoresis in denaturing
144
polyacrylamide sequencing gels and stained with silver nitrate (Streiff et al,
145
1998).
146 147
Data analysis
148
Genetic diversity within and among populations ⎯ The within-population
8
149
diversity was estimated using the GENETIX software package, version 4.01
150
(Belkhir et al, 2000). For both populations, we analyzed offspring diversity
151
using one offspring randomly chosen per family (N = 33), as well as
152
maternal tree diversity (arising from recruitment before fragmentation) (N =
153
33). Maternal genotypes were inferred using the MLTR software (version
154
0.9) and the genotype of the 10 offspring per family. According to Brown
155
and Allard (1970), the size of the progeny array utilized here is sufficient to
156
ascertain maternal genotypes to about 95 % certainty in mainly outcrossing
157
populations. Observed heterozygosity (Ho), expected heterozygosity (He),
158
and values of Fis were estimated following Weir and Cockerham (1984),
159
and their respective standard errors estimated by a bootstrap method that
160
resamples over individuals (1000 replicates). The absence of population
161
differentiation between island I and forest F was tested using the exact test
162
(Raymond and Rousset, 1995a) available in the GENEPOP package version
163
3.3 (Raymond and Rousset, 1995b). The latter analysis was conducted for
164
both adult and offspring populations.
165 166
Mating system ⎯ The progeny array (N = 330) was analyzed using a mixed
167
mating model (Ritland and Jain, 1981). Single locus (ts) and multilocus (tm)
168
maximum-likelihood estimates of outcrossing rate in progeny were
169
computed using MLTR, and the expectation-maximisation (EM) algorithm.
170
Variances were estimated using a bootstrap method (1000 bootstraps among
9
171
families). The MLTR program also provides two correlated-mating-system
172
parameters (rs and rp) describing the genetic correlations of sibs (Ritland,
173
1989). The first, rs, is the correlation of selfing between sib-pairs (if rs is
174
equal to 1, then sib-pairs are either both selfed or both outcrossed). The
175
second parameter, rp, is the correlation of paternity between two outcrossed
176
sibs, or the proportion of full-sibs among outcrossed sib-pairs (if rp is equal
177
to 1, then offspring of the same family are full-sibs, while rp equal to 0
178
indicates that all sibs have different fathers). MLTR is designed for a
179
maximum of eight alleles per locus. Therefore, the locus Wac1 (which
180
exhibited 10 alleles) was analyzed by pooling the three less frequent alleles
181
(with allelic frequencies from 0.15 to 1.2 %).
182 183
Pollen clouds ⎯ For each of the 330 offspring studied, the haplotype of
184
pollen grains involved in fertilization was deduced by a method comparing
185
offspring and maternal genotypes. For this purpose, we designed a simple
186
application (available from the authors), written in Delphi TM version 4.0
187
(Delphi, 1998), which assigns offspring alleles to maternal and paternal
188
gene pools as follows. When offspring genotype differs from the mother for
189
one allele, then this allele is assigned to the pollen haplotype with a
190
probability equal to 1. In contrast, when both alleles from the offspring are
191
present in the maternal genotype, then each of them is assigned to the pollen
192
haplotype with a probability ½, according to Mendelian segregation. Given
10
193
the exceptionally low rates of selfing observed in our populations (see
194
below), no distinction was made between outcrossed and selfed offspring.
195
No incompatibility between maternal and offspring genotypes was found in
196
the data set. The genetic structure of pollen clouds was studied using two
197 198
methods. We first tested whether the island I and forest F populations had
199
differentiated pollen clouds using likelihood ratio tests. We compared three
200
nested models: M1 (each tree received a differentiated pollen cloud), M2
201
(each population received a differentiated pollen cloud, but there was no
202
differentiation between trees within-populations), and M3 (the pollen cloud
203
was homogeneous for every tree and both populations). These models are
204
nested because they gradually constrain the allele frequencies in putative
205
pollen clouds. If n is the number of alleles over all loci in the whole sample,
206
and ni the number of alleles at locus i, then M1 has:
207
(20+13)*3 over loci (ni -1) = 33*(n-5) degrees of freedom (d.f.), M2 has 2*(n-
208
5) d.f. and M3 has only 1*(n-5) d.f. We computed the likelihood of each
209
model, as follow: ln (L) = 3 over loci [Nhetero * ln (2) + 3 over alleles [Nx * ln (f (x))]]
210 211
where ln (L) is the log-neperian of the likelihood,
212
Nhetero is the observed number of heterozygotes,
213
Nx is the observed number of alleles x,
11
214
f (x) is the frequency of allele x, parameter of the model (its
215
maximum likelihood estimation is the observed frequency of allele
216
x).
217
Nhetero, Nx and f (x) were calculated within pollen clouds, namely for each
218
tree taken separately in M1, for each population taken separately in M2, and
219
for both populations in M3.
220
The likelihood of each model were then compared by a likelihood ratio test
221
(Edwards, 1972), in order to assess whether the increase in likelihood
222
(L(M1)>L(M2)>L(M3)) outbalanced the increase in parameters
223
(d.f.1>d.f.2>d.f.3). For instance, if the simplest model was true (i.e. M3),
224
then 2*ln(L(M2)/L(M3)) should follow a chi-square with (d.f.2-d.f.3)
225
degrees of freedom. Secondly, we tested whether within-population pollen flow was
226 227
spatially restricted, such that the similarity between individual pollen clouds
228
decreased with the distance separating the pairs of pollen clouds (position is
229
given by the maternal tree receiving the pollen cloud). We therefore
230
calculated the Reynold genetic distance and the geographic distance
231
between each possible pair of individual pollen clouds within populations.
232
The correlation between these two matrices of distance was analyzed using
233
Mantel’s test (1967), available in GENETIX version 4.01 (Belkhir et al,
234
2000).
235
12
236
Results
237
Genetic diversity and population genetic structure
238
In both the island and continuous forests, offspring V. americana
239
populations exhibited values of He (i.e. expected heterozygosity) greater
240
than 0.5, while parental values were 0.39 and 0.53 for the island I and forest
241
F populations respectively (Table 1). Both adult and offspring populations
242
were characterized by mean number of alleles higher than 2.6 and a large
243
number of observed heterozygotes (range 0.43 to 0.51). Fis values did not
244
significantly depart from Hardy-Weinberg expectations, which is consistent
245
with the observed mainly outcrossed mating system (see below) (Tables 1
246
and 2). Fst values calculated between island I and forest F over all nuclear
247
loci were 0.146 and 0.085, between the two adult and offspring populations,
248
respectively. Exact tests of genic differentiation indicate that populations
249
were significantly differentiated for both adult and seedling stages (Fisher’s
250
exact test overall loci: P < 0.0001 and P < 0.001, for adult and offspring
251
populations, respectively). In contrast, Fst values calculated between
252
offspring and adults within populations were very low: –0.014 and 0.015 for
253
forest F and island I respectively. This indicates an absence of
254
differentiation between parents and offsprings within both populations.
255 256
Mating system
257
Estimated outcrossing rates at the population level were high, 0.98 (± SE
13
258
0.02) and 0.96 (± 0.03) at island I and forest F respectively, suggesting that
259
selfing rarely occurred (Table 3). Single locus (ts) and multilocus (tm)
260
estimates of outcrossing rates gave similar values. The difference between
261
tm and ts, which give an indication of levels of inbreeding occurring from
262
processes other than selfing, such as biparental inbreeding (Ritland and Jain,
263
1981), was therefore negligible for both populations (Table 3). The
264
inbreeding coefficient for maternal parents obtained with MLTR was less
265
than 0.001 at island I, and equal to 0.024 (± 0.050) at forest F, which is
266
consistent with estimation of Fis values previously obtained for parent tree
267
populations. The correlation of selfing was similarly low at both
268
populations, being 0.019 (± 0.007) and 0.062 (± 0.047) at island I and forest
269
F respectively. In contrast, the correlation of outcrossed paternity was high,
270
averaging 0.167 (± 0.048) and 0.319 (± 0.070) at island I and forest F
271
respectively. The difference between populations for these outcrossed
272
paternity estimates was marginally non-significant (ts = 1.79; d.f. = 1998; P
273
< 0.10).
274 275
Genetic structure in pollen clouds
276
The comparison between the nested models of genetic structure in pollen
277
clouds was significant when comparing M1 and M2 (χ2 = 0.912; d.f. = 558;
278
P < 0.05), meaning that M2 was accepted in regard to M1 (Table 4). Neither
279
the comparison between M2 and M3 nor between M1 and M3 gave
14
280
significant results, meaning that M3 was rejected. This result indicates that
281
island I and forest F had different pollen clouds, and that these pollen clouds
282
were homogeneous within each population.
283
The Reynold’s genetic distances between pairs of groups of pollen grains
284
were weakly correlated with their geographic distance at both island I
285
(Mantel test: rp = 0.137, P = 0.129) and forest F (Mantel test: rp = 0.138, P =
286
0.086) (Figure 2). As shown with the nested models, this last result suggests
287
that there is no conspicuous genetic structure of pollen clouds within
288
populations, at the spatial scale we considered (4 hectares per population).
289 290
Discussion
291
Outcrossing vs. selfing
292
Despite being a hermaphroditic species and despite forest fragmentation, V.
293
americana exhibited high outcrossing rates in both populations, as observed
294
generally for tropical tree species (Hamrick and Murawski, 1990; Bawa,
295
1992; Doligez and Joly, 1997). Furthermore, contrary to the observations of
296
Murawski et al, (1994), both populations showed equivalent outcrossing
297
rates (0.98 vs. 0.96) despite differences in tree density (6 vs. 10 trees per
298
hectare). Moreover, low correlation values for selfing indicated that selfing
299
rates did not vary among families. These results suggest two likely and non-
300
exclusive scenarios. First, efficient pollen dispersal on both sites may have
301
insured that the number of outcrossed pollen grains was not affected by
15
302
fragmentation or reduced tree density. Second, these results also suggest
303
that outcrossed pollens may have been more efficient in producing pollen
304
tubes than selfed pollens, resulting in a high probability of allofecundation,
305
independent of the selfed to outcrossed pollen grain ratio (Aizen and
306
Feinsinger, 1994).
307 308
Pollen flow within populations
309
Estimates of correlated paternity (rp) between seedlings sampled within the
310
same family were 17 and 32% for the island I and forest F populations
311
respectively. As (rp)-1 provides an estimate of the number of effective father
312
plants (sensu Ritland, 1989), these results suggest that mother plants were
313
randomly outcrossed to a pool of about six neighbors in the island I
314
population, but to a pool of only three neighbors in the forest F population.
315
Thus, contrary to what was expected, pollen flow seemed to be less
316
restricted in the more isolated population. Nason (1997) argued that
317
reproductive systems in tropical trees can be influenced by the local density
318
of flowering conspecifics. Thus, whereas the lower V. americana population
319
density at island I may be associated with expanded pollinator foraging
320
ranges and dispersal distances, the higher tree density at forest F may be
321
associated with lower pollinator movements and lower pollen dispersal
322
distance, thus resulting in pollination occurring predominately from nearest
323
neighbors. This hypothesis is consistent with observations made by
16
324
Ellstrand and Ellam (1993) in a non-fragmented habitat, where pollen
325
dispersal distances were greater in small populations than in larger ones. In
326
contrast, our results seem opposite to those of Ghazoul et al (1998), who
327
found that inter-tree movements of pollinators declined with increasing
328
distance between flowering Shorea siamensis trees. Furthermore, we found
329
no evidence either from analyses of correlations between Reynold’s
330
distances and spatial distances or from the nested models that pollen grains
331
engendering the progeny arrays were genetically structured within
332
populations. This suggests either that the genetic structure of pollen clouds
333
was not a function of geographic distance, or that the spatial scale we
334
considered in this study (4 hectares) was too small to show a clear
335
relationship between genetic and geographic distances. The lack of
336
relationship between differentiation of pollen pools and spatial distance
337
could also be attributable to the large variances of the estimates of pollen
338
pools and a lack of statistical power in the tests (Austerlitz and Smouse,
339
2002), and/or to the predominance of few common fathers in each
340
population responsible for the pollination of most maternal trees. This latter
341
scenario could result from differences in fertility between trees (eg, some
342
trees may produce more pollen). Future studies involving paternity analyses
343
would help clarify pollen movement in this species.
344 345
Gene flow among populations
17
346
Analysis of Fst values indicate that both parent tree (0.146) and offspring
347
populations (0.085) were differentiated between island I and forest F,
348
suggesting that gene flow between these two populations was restricted,
349
both before (for parent trees) and four years after (for offspring) forest
350
fragmentation. This result is similar to what Dutech et al (unpublished data)
351
observed for another site in French Guiana: a strong genetic differentiation
352
among clusters of individuals separated by 500 to 2500 m in a natural forest
353
stand. Furthermore, analysis of genetic structure among the pollen grains
354
that engendered our progeny arrays showed that pollen clouds were also
355
differentiated between island I and forest F. Pollen dispersal between
356
populations, if any, was therefore restricted. All of these results suggest that
357
the island I and forest F populations were independent units of reproduction,
358
even before forest fragmentation occurred. This is consistent with the
359
observation that V. americana trees have a distribution that is strongly
360
aggregative (Forget et al, 1999), and suggests that the island I and forest F
361
populations may belong to two different aggregates, with genetic
362
differentiation resulting both from the absence of seed dispersal (Forget,
363
1990; Dutech et al, 2002) and inadequate pollen dispersal between them.
364
This hypothesis is reinforced by field observations made prior to forest
365
fragmentation, according to which the actual island I and Forest F were
366
formerly separated by an area of swampy forest and Euterpe olivacea stands
367
(more narrow than the present distribution of water)(O. Claessens, pers.
18
368
comm.), habitats known to be unfavorable for V. americana (Forget et al,
369
1999).
370 371
Forest fragmentation
372
This study did not provide evidence for a possible influence of forest
373
fragmentation on the mating system of V. americana trees four years after
374
fragmentation, as both isolated and non-isolated populations showed
375
comparable breeding systems. Moreover, our results suggest that pollen-
376
vector interactions were not disrupted in the isolated patch, and that forest
377
fragmentation has merely further separated two areas that were previously
378
independent with respect to reproduction. The maintenance of genetic
379
variation and normal breeding systems within the isolated population has
380
three possible explanations: (i) the size of the island (28 hectares) may be
381
too large to observe conspicuous changes due to fragmentation effects, (ii)
382
the population at island I may not have fallen below some threshold size
383
below which normal breeding associations are impaired (as suggested by
384
Young et al (1993) for Acer saccharum), or (iii) there may have been
385
insufficient time since the fragmentation for significant modifications to
386
breeding systems and patterns of genetic variation to have occurred.
387
Therefore, despite the absence of short-term effects of fragmentation,
388
caution is needed in extrapolating these results to the longer term, since
389
perturbations to important processes may take longer to become manifest.
19
390
Possible longer-term changes that may yet affect V. americana could
391
include changes in the pollinator assemblages, or increased genetic drift in a
392
fragmented landscape, a consequence of the observed restricted gene flow
393
of V. americana.
394 395
Acknowledgements
396
We thank L. Maggia and B. Godelle and F. Bonhomme for welcoming S.C.
397
at the laboratory of CIRAD-INRA at Kourou (French Guiana) and in
398
University Montpellier II (France), respectively. Many thanks also to P.-M.
399
Forget, G. Dubost and C. Erard for financial support; E. Bandou and C.
400
Bidal for technical support; K. Belkhir for statistical advices; and A. Leitao,
401
C. Bidal, A. Dalecky and S. Ratiarison for help during sampling. Comments
402
by P.-O. Cheptou, P.-M. Forget, N. Galtier, P. Jarne, D. McKey, B. McKie,
403
E. Schupp and V. Sork improved earlier versions of this manuscript. This
404
study was financed by a PhD scholarship from the French Ministry for
405
Education and Research to S.C., by E.D.F. (Convention Museum / E.D.F.
406
GP7531) and MNHN-UMR 8571.
20
407
References
408
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Figure legends Figure 1 Location of the Vouacapoua americana populations studied in Saint-Eugène. Populations F and I respectively belong to one continuous forest and one island (so-called CF3 and island 2 in Claessens et al 2002). The trees included in the genetic analysis are indicated as open circles, while other conspecifics are indicated as black circles.
Figure 2 Absence of within-population structure for pollen clouds. Reynolds genetic distance are represented in function of geographic distance, for all pairs of individual pollen clouds per population (each individual pollen cloud corresponding to one family).
Forest F
Island I
1km
100 m
0.20
Island I (rp = 0.137)
0.15
0.10
Reynolds genetic distance
0.05
0.00 0
50
100
150
200
250
100
150
200
250
0.20
Forest F (rp = 0.138) 0.15
0.10
0.05
0.00 0
50
Geographic distance (m)
Table 1 Genetic diversity among parent trees and offspring populations. For each population, the sample size (N), mean number of alleles per locus (nmd), observed heterozygosity (Ho), gene diversity (He) and inbreeding coefficient over all loci (Fis) are given. For offspring populations, one individual was randomly chosen among the progeny array for each family. Populations
Island I
Forest F
Parents
Offspring
Parents
Offspring
N
13
13
20
20
nmd
2.6
2.8
4.0
4.0
Ho
0.43
0.51
0.47
0.50
He
0.39
0.52
0.53
0.54
Fis
- 0.10
0.02
0.11
0.08
Table 2 Alleles frequencies at all microsatellite loci, for parent trees and offspring populations, at both the island and continuous forest sites. Island I Wac1
Wac5
Wac7
Wac10
Forest F
Alleles
Parents
Offsprings
Parents
Offsprings
1
0.038
0.077
0.025
0.025
2
0.308
0.308
0.175
0.275
3
0.077
0.038
0.125
0.175
4
0
0.115
0.075
0.050
5
0.538
0.462
0.450
0.300
6
0.038
0
0.075
0.125
7
0
0
0.025
0.025
8
0
0
0.050
0.025
1
0
0.192
0.400
0.300
2
0.154
0.115
0.100
0.125
3
0.846
0.692
0.475
0.550
4
0
0
0.025
0.025
1
0.308
0.462
0.750
0.700
2
0.692
0.538
0.250
0.300
Alleles
Alleles
Alleles
1
0
0
0.025
0.025
2
0.885
0.654
0.775
0.775
3
0
0
0.100
0.025
4
0.115
0.346
0.100
0.175
1
0.731
0.731
0.400
0.400
2
0.269
0.269
0.600
0.600
Mean Number of Allele
2.6
2.8
4
4
Standard Deviation
1.3
1.3
2.4
2.4
Wac13
Alleles
ALL LOCI
Table 3 Estimates of population-level outcrossing rates and correlated mating. The island I and Forest F populations are represented by 13 and 20 families, i.e. 130 and 200 offspring, respectively. Estimates of parental inbreeding coefficient were obtained using MLTR procedure (F), multilocus (tm) and single locus (ts) outcrossing rates, differences between multilocus and single locus estimates (tm - ts), mean outcrossing rates per family (ti), correlated selfing (rs) and correlated paternity (rp). Values are given with their standard errors in brackets, which were obtained from 1000 bootstraps. F
tm
ts
tm - ts
ti
rs
rp
Island I
< 0.001
0.983 (0.018)
0.988 (0.022)
- 0.005 (0.018)
0.901 (0.031)
0.019 (0.007)
0.167 (0.048)
Forest F
0.024 ( 0.050)
0.956 ( 0.029)
0.971 (0.029)
- 0.015 (0.025)
0.865 (0.036)
0.062 (0.047)
0.319 (0.070)
Table 4 Analysis of the genetic structure of pollen clouds, using likelihood ratio-tests for the comparison of three nested models: M1 (each tree received a differentiated pollen cloud), M2 (each population received a differentiated pollen cloud, but there was no differentiation between trees within-populations), and M3 (the pollen cloud was homogeneous for every tree and both populations). Models
M1
M2
M3
-1317.0
-1573.7
-1643.6
594
36
18
Model comparisons
M1 / M2
M2 / M3
M1 / M3
2 * [ln(Li) - ln(Lj)]
513.3
139.9
653.2
558
18
576
0.912
6.7*10-21
0.014
ln (Likelihood) d.f.
d.f. i - d.f. j χ2 probability