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Fine-Scale Spatial Genetic Structurewithin Continuous and FragmentedPopulations of Trillium camschatcense HIROKI YAMAGISHI, HIROSHI TOMIMATSU, AND MASASHI OHARA From the Graduate School of Environmental Earth Science, Hokkaido University, Sapporo 060-0810, Japan (Yamagishi andOhara); and the Department of Biological Sciences, Tokyo Metropolitan University, Hachioji 192-0397, Japan (Tomimatsu).
Address correspondence to M. Ohara at the address above, or e-mail:
Spatial genetic structure (SGS) within populations was ana- loss of individuals from the family patches are responsible for lyzed for the ling-lived understory perennial herb Trillium cam- the juvenile and adult structures, respectively (e.g., Epperson schatcense using allozyme loci. We used Sp statistics to and Alvarez-Buylla 1997; Parker et al. 2001; Chung et al. 2003).
compare SGS between 2 life-history stages, juveniles ( J) Conversely, the opposite trend was also observed in some spe- and reproductives (R), as well as between 2 populations, con- cies, and the increasing SGS has been attributed to local selec- tinuous and fragmented, with different habitat conditions. In tion during recruitment or historical events (Tonsor et al. 1993; the continuous population, significant SGS was detected in Ueno et al. 2000; Kalisz et al. 2001).
both stages but the extent was greatly reduced with the prog- Moreover, the extent of SGS may vary among popula- ress of the stage ( J, Sp 5 0.0475; R, Sp 5 0.0053). We in- tions under different habitat conditions, and such interpop- ferred that limited seed dispersal and subsequent random ulation variation can also improve our understanding of the loss of individuals from the family patches are responsible relationship between environmental factors and life-history for the J and R stage structures, respectively. The fragmented factors. In particular, habitat alteration due to human activ- population differed in the patterns of SGS; significant struc- ities affects many demographic and genetic processes includ- ture was detected in the R stage, but not in the J stage ( J, ing the breeding system (e.g., Rajimann et al. 1994) and Sp 5 0.0021; R, Sp 5 0.0165) despite significant positive in- recruitment (e.g., Tomimatsu and Ohara 2002; Ward and breeding coefficients ( J, FIS 5 0.251). The observed differen- Johnson 2005), which are likely reflected in the patterns ces in the J-stage structures between populations may be of genetic structuring. Several studies have revealed habi- explained by habitat fragmentation effects because reduced tat-associated variations of SGS, for example, between frag- recruitment in the fragmented population prevents the devel- mented and continuous populations of Acer saccharum (Young opment of maternal sibling cohort. Such comparative analysis and Merriam 1994) and between old-growth and logged for- between populations and life-history stages can be useful to ests of Pinus strobus (Epperson and Chung 2001); however, understand the different underlying causes of SGS.
few studies have examined the differences in SGS of differentlife-history stages both among and within populations (butsee Epperson and Chung 2001; Cruse-Sanders and Hamrick Spatial genetic structure (SGS) within plant populations is determined by many processes, including gene flow and local In this study, we analyzed SGS of 2 life-history stages in 2 selection at different life-history stages (Hedrick 1986; Ennos populations of the long-lived understory herb, Trillium cam- 1994; Latta et al. 1998; Kalisz et al. 2001). In the case of long- schatcense Ker Gawler (Trilliaceae or Melanthiaceae). First, lived perennial plant species, SGS of juveniles primarily reflects we compared SGS between juveniles and reproductives in their parental structure and the patterns and distances of a large, continuous population. Although the species has both pollen and seed dispersal. This structure can be modified an outcrossing mating system in our populations (Ohara in subsequent life-history stages by postdispersal selection or et al. 1996), the dispersal distance of seeds by ants has been mortality of individuals. Therefore, analyses of SGS over the reported to be short, only 0.60 m on the average (Ohara and life cycle can infer the roles of these demographic and genetic Higashi 1987). Thus, we expect that the limited seed dispersal processes in the formation and maintenance of the within- ability in our species develops significant SGS in juveniles.
population genetic structure (Kalisz et al. 2001; Chung et al.
Juveniles are subsequently subject to density-dependent mor- 2003). For example, some studies have found that significant tality and many are thus excluded from the family patches structure in juveniles is greatly reduced in reproductive adults, (Ohara and Kawano 1986), so that SGS in juveniles is expected suggesting that limited dispersal and the subsequent random to decrease or even become undetected in reproductives.
Second, we compared the patterns of SGS in a large popu- continuous forest (;300 000 m2), whereas the Kiyokawa lation with those of a small, fragmented population. In the population (42°45#N, 143°7#E; hereafter ‘‘fragmented’’) Tokachi plain of eastern Hokkaido, Japan, T. camschatcense grows in a small, fragmented forest (;7700 m2), fully sur- has experienced extensive habitat loss because of recent ag- rounded by agricultural fields. The estimated habitat size ricultural development since the 1880s and now is often and the number of reproductive plants are 50 000 m2 and found in the understory of small and isolated forests. Our 126 000 for the continuous and 7700 m2 and 10 200 for previous studies (Tomimatsu and Ohara 2002, 2003a) using the fragmented population, respectively. Our previous study 14 populations with different sizes have demonstrated that demonstrated that the fragmented population showed a sig- smaller populations showed lower seed production and seed- nificant inbreeding coefficient (FIS 5 0.129), possibly due to ling recruitment and sometimes higher inbreeding coeffi- biparental inbreeding (Tomimatsu and Ohara 2003a). Con- cients (i.e., biparental inbreeding). Other things being sidering the size of habitats and the development history equal, the reduced recruitment in small populations may pre- of the region, habitat conditions must be much more altered vent the development of maternal sibling cohorts and thus in the fragmented population. Thus, when interpreting the reduce SGS in juveniles, whereas biparental inbreeding is data, we assume that environmental conditions that gave expected to intensify SGS. To examine these expectations, rise to SGS in the reproductive and juvenile stages are similar we used spatial autocorrelation analysis with new Sp statistics in the continuous population, but they are quite different that has recently been proposed to make a comparative anal- in the fragmented population owing to the fragmentation ysis of genetic structure (reviewed by Vekemans and Hardy 2004). Although previous studies used estimators of geneticrelatedness (Moran’s I or kinship coefficients) or the inter- Leaf Sampling and Allozyme Electrophoresis cept of spatial correlograms to analyze their variations(e.g., Stehlik and Holderegger 2000; Diniz-Filho and Telles In this study, we sampled individuals in 2 life-history stages, 2002), these estimators strongly depend on the sampling reproductives, that is flowering individuals (hereafter ‘‘R’’), schemes adopted. By contrast, under isolation by distance and juveniles, that is seedlings and one-leaf individuals (here- in 2-dimensional space, the Sp statistics primarily depends after ‘‘J’’). We did not sample 3-leaves nonflowering individ- on the rate of decrease of pairwise kinship coefficients be- uals because not enough number of them were found in tween individuals with the logarithm of the spatial distance the plots. In each population, leaf materials were collected in 2 ways. First, to examine the level of genetic diversityand inbreeding coefficient (FIS), leaves were randomly sam-pled from .40 individuals in each life-history stage (R, n 5 41 and J, n 5 94 for the continuous population; R, n 5 52 andJ, n 5 94 for the fragmented population). Second, to analyze SGS, we established a single plot (2 Â 10 m for the contin- Trillium camschatcense is a diploid (2n 5 10), nonclonal peren- uous and 2 Â 16 m for the fragmented; Figure 1) in the center nial herb that commonly occurs in the understory of broad- of each population and mapped all individuals of the R and leaved deciduous forests of Hokkaido, Japan. Vegetative J stages within the plots. For each stage, we collected leaf individuals of T. camschatcense comprise 2 morphologically dis- samples from plants located nearest all intersections of 2 Â tinct forms: 1-leaf and 3-leaves stages. It takes more than 10 2 cm grids within the quadrants unless there were no plants years for seedlings to become flowering plants. Reproduc- within 1 cm of the intersection point. Consequently, we sam- tives have one or several flowers, and seed production results pled 151 of R and 754 of J plants in the continuous and 154 of from obligatory outcrossing by insect pollination in our study R and 98 of J plants in the fragmented populations. Multi- area (Ohara et al. 1996). After reaching flowering, the plants locus genotypes of all sampled individuals were determined can live for at least 25 years with continuous flowering every by allozyme electrophoresis as described below. The density year (Ohara et al. 2006). The flowers are visited by a wide of R and J plants within the study plots was 7.6 and 71.9 mÀ2 range of insects, primarily beetles (e.g., Nitidulidae and Mel- in the continuous and 3.1 and 7.8 mÀ2 in the fragmented andryidae) and flies (e.g., Bibionidae and Scathophagidae; Tomimatsu and Ohara 2003b), and the fruits contain ;80 Leaf materials were transported on ice to the laboratory seeds on average (Tomimatsu and Ohara 2002). As each seed and kept at –80 °C until electrophoresis. Approximately 70 has a soft, juicy elaiosome, the seeds are attractive to ants, mg of leaf tissue from R plants was homogenized in 0.9 ml which consequently contribute to seed dispersal (Ohara of extraction buffer made up of 0.1 M Tris–HCl (pH 8.0), 0.2 g/ml glycerol, 63 mg/ml Tween 80, 8 mM dithiothreitol, This study was conducted in 2 populations, Hiroo and 0.50% (v/v) b-mercaptoethanol, 0.40% (w/v) b-nicotiamide Kiyokawa, in the Tokachi plain of eastern Hokkaido, Japan.
adenine dinucleotide, 0.45% (w/v) b-nicotiamide adenine di- In this study, we selected 2 distinct populations of 14 pop- nucleotide phosphate, 0.3% (w/v) bovine serum albumin, and ulations used in our previous studies (Tomimatsu and Ohara 7% (w/v) polyvinylpolypyrrolidone (modified from Shiraishi 2002, 2003a, 2004), one large continuous (Hiroo) and one 1988). As the leaves of J plants were small, we homogenized small fragmented (Kiyokawa). The Hiroo population ;2 mg of leaf tissue in 0.25 ml of extraction buffer. After the (42°19#N, 143°20#E; hereafter ‘‘continuous’’) grows in a large, homogenates were centrifuged (15 000 rpm for 15 min at Standard measures of genetic diversity, including the percent-age of polymorphic loci (P), the mean number of alleles perlocus (A) corrected for differences in sample size (i.e., rare-fied; Leberg 2002), the observed heterozygosity (Ho), and theexpected heterozygosity (He) were calculated for each life-history stage in each population. Inbreeding coefficient(FIS) was calculated as estimates of Weir and Cockerham(1984) using the computer program FSTAT version2.9.3.2 (Goudet 2002), and the levels of significance wereobtained by randomization-based procedures (for details,see Goudet 2002). To investigate fine-scale SGS, we con-ducted spatial autocorrelation analyses with kinship coeffi-cients (Loiselle et al. 1995) using SPAGeDi version 1.2(Hardy and Vekemans 2002). Mean multilocus kinship coef-ficients (F( j )) were computed for the following distance clas-ses: 0.2, 0.3, 0.4, 0.5, 0.75, 1, 2, 4, and 8 (upper-bounddistance in meters) and were plotted against the logarithmof the geographic distance ( j ). Standard errors for the kinshipcoefficients were estimated using a jackknife procedure overthe loci. The linear regression slope (b) can be a good esti-mator of the extent of SGS (Vekemans and Hardy 2004).
We tested the significance of b against the null hypothesisH0: b 5 0 (i.e., the overall absence of SGS) by comparingthe observed values with those obtained after 1000 randompermutations of individuals among positions. We also quan-tified SGS by Sp statistics, calculated as Àb/(1 À F(1)) whereF(1) is the mean kinship coefficient in the first distance class(see Vekemans and Hardy 2004 for details). The Sp statisticscould be considered robust in our sampling scheme becauseF( j ) tended to decrease linearly with ln( j ).
Genetic Diversity and Levels of Inbreeding Seven of the 8 loci resolved were polymorphic in at leastone of the 2 populations examined: 6 (AAT [2 loci],ADH, SODH, LAP, GDH) and 4 (AAT [2 loci], ADH,LAP) loci were polymorphic in the continuous and frag-mented populations, respectively; MDH was monomorphic.
Spatial distribution of Trillium camschatcense In both stages, the continuous population had higher genetic individuals within the study plots. Individuals of different stage diversity (P, A, Ho, and He) than the fragmented population classes are represented by different symbols in the maps. Maps (Table 1). For example, when the differences in sample sizes are shown for (A) continuous and (B) fragmented populations.
were adjusted, the mean number of alleles per locus (A) was1.875 for R and 2.227 for J stages in the continuous popu-lation and 1.620 for R and 1.484 for J stages in the fragmented 4 °C), 10 ll of the resulting supernatant was used for vertical population. In the continuous population, inbreeding co- polyacrylamide gel electrophoresis. We tested 14 enzymes efficients were nearly equal to zero (R, FIS 5 0.072; J, first, and then examined 6 enzyme systems that consistently FIS 5 0.079). In contrast, the fragmented population showed showed clear and interpretable banding patterns: aspartate high inbreeding coefficients in both stages (R, FIS 5 0.189; aminotransferase (AAT, 2 loci [EC]), leucine amino- J, FIS 5 0.251). Randomization tests detected a significant peptidase (LAP, 1 locus [EC]), glutamate dehydroge- deficit of heterozygosity relative to Hardy–Weinberg expect- nase (GDH, 1 locus [EC]), malate dehydrogenase (MDH, 1 locus [EC]), sorbitol dehydrogenase (SODH, 1 locus [EC]), and alcohol dehydrogenase(ADH, 2 loci [EC]). On the basis of the banding pat- The slopes (b) of linear regressions between the kinship coef- terns, we assumed Mendelian inheritance of all loci.
ficient and the logarithm of the geographic distance were Genetic diversity and SGS of continuous and fragmented populations of Trillium camschatcense Genetic diversity and inbreeding coefficient P, percent polymorphic loci; A, average number of alleles per locus corrected for differences in sample size; Ho, observed heterozygosity; He, expectedheterozygosity (gene diversity); FIS, estimates of Weir and Cockerham (1984) of inbreeding coefficient; Sp, estimates of Vekemans and Hardy (2004) ofSGS; b, slope of the regression of kinship coefficients on the logarithm of geographic distance (*P , 0.05; **P , 0.01); F(1), the value of F(r) on the firstdistance class.
found to be significantly negative (P , 0.05) in all but the J tion exhibited significant SGS at the R stage (Sp 5 0.0165), but stage in the fragmented population (Table 1; Figure 2). In the not in the J stage (Sp 5 0.0021). When the strength of SGS of continuous population, the Sp statistics showed that the J stage each life-history stage was compared between populations, was much more genetically structured than the R stage (J, Sp 5 the R stage in the fragmented population was slightly more 0.0475; R, Sp 5 0.0053). In contrast, the fragmented popula- structured than that in the continuous population (continuous, Correlograms (solid lines) resulting from spatial autocorrelation analyses based on allozyme loci for 2 study populations of Trillium camschatcense. Least-squares linear regressions are indicated by dotted lines. Vertical bars show standarderrors. Distance classes are 0.2, 0.3, 0.4, 0.5, 0.75, 1, 2, 4, and 8 m (upper-bound distance).
Sp 5 0.0053; fragmented, Sp 5 0.0165). In contrast, the J stage This suggests that only a few maternal siblings exist among exhibited about 20-fold stronger structure in the continuous juveniles, and thus the low recruitment could explain the ab- population than in the fragmented population (continuous, sence of genetic structure. Interestingly, a related species, T.
Sp 5 0.0475; fragmented, Sp 5 0.0021).
grandiflorum, also did not show significant SGS at the juvenilestage (Kalisz et al. 2001). The number of seeds produced perreproductive plant is small in T. grandiflorum (;16 seeds; Kalisz et al. 1999), so that the resulting low recruitment, in conjunc- This study indicates how fine-scale SGS of T. camschatcense tion with a moderate level of seed dispersal, would have a ho- differs across 2 life-history stages and 2 populations under mogenizing effect on the genetic structure (Kalisz et al. 2001).
contrasting habitat conditions. In addition, the fragmented Although the difference between Sp statistics was not tested in population exhibited lower allelic diversity and higher our study, the reproductive stage SGS in the fragmented pop- inbreeding coefficients than the continuous population ulation was slightly stronger with lower adult density than that (Table 1). These results are consistent with our previous in the continuous population (Table 1; Figure 2). This result is study (Tomimatsu and Ohara 2003a). The fragmented pop- consistent with theoretical and empirical evidence that density ulation would have experienced a stochastic loss of alleles at is a major determinant of SGS because it affects the strength the time of fragmentation and biparental inbreeding due to of local genetic drift and the level of gene flow distance (Hey- wood 1991; Vekemans and Hardy 2004). We are not sure, In the continuous population, as expected, we found sig- however, whether this difference in SGS is significant because nificant SGS in juveniles (Table 1; Figure 2A). This structure F(1) in these populations are similar (Table 1) and F( j) in the could develop as a result of limited pollen and seed dispersal short distance classes had large variance in the fragmented (Wright 1946; Slatkin 1985). Although the distance of pollen dispersal would not be far, the value of inbreeding coefficient Some limitations and caveats should be considered before (FIS) indicates that mating within this population was essen- we draw any conclusions from this study. First, we examined tially random (Table 1). Therefore, the results suggest that re- only a single plot within each population. Although we care- stricted seed dispersal is mainly responsible for SGS in fully established the plots to reflect typical environmental juveniles. In fact, seeds that fell on the ground were rarely conditions and demographic structures of populations, 2 transported by ants even after 72 h and many remained around or more replicates are needed to draw more corroborative the maternal plants (dispersal frequency 11.7%; Yamagishi H, evidence. Second, the accuracy of Sp statistics critically unpublished data). By contrast, the reproductive stage showed depends on F( j ) in the first several distance classes, particu- a weak structure relative to the juvenile stage (Table 1; Figure larly F(1) (Vekemans and Hardy 2004). For example, F( j ) in 2A). The reduction pattern of SGS with the progress of the the first 4 distance classes had large standard errors in the con- stage could occur when juveniles experience genetically ran- tinuous population (Figure 2A) and this could partly be dom mortality that occurs in a density-dependent manner.
caused by how we defined distance classes. We recalculated Several previous studies also demonstrated the same pattern, F(1) and Sp statistics under different sets of distance classes, which was attributed to random mortality during recruitment but these calculations gave essentially the same interpretation (Hamrick et al. 1993; Epperson and Alvarez-Buylla 1997; of our data (results not shown). Finally, in the fragmented Chung et al. 2003). It should be noted, however, that the population, we do not infer the causes of creating the strong opposite trend was observed in a related species of the same pattern of structure observed in the reproductives from the genus, Trillium grandiflorum (Kalisz et al. 2001); significant SGS pattern in the juveniles. Considering the long life-span of T.
was detected in reproductive but not in juvenile stages, and it camschatcense (.50 years) and the population history, many was suggested that the increase in SGS between the stages reproductive individuals may still have survived fragmenta- could arise from local selection resulting from microenviron- tion. Therefore, the existent structure in this reproductive mental conditions or from specific historical events.
population was likely to develop under habitat conditions be- The fragmented population differs in the extent and pat- fore or immediately after habitat fragmentation, whereas the tern of SGS from the continuous population; namely, juve- structure in the juveniles was established recently, long after niles did not show significant SGS despite relatively high levels of inbreeding coefficients (Table 1; Figure 2B). Given In summary, under a high level of recruitment, SGS our previous knowledge on the effects of habitat fragmenta- appears at the juvenile stage probably because of limited seed tion, juvenile stage SGS could either increase due to biparental dispersal around maternal plants, and subsequent random inbreeding or decrease due to reduced recruitment. Our results loss of individuals from family patches is a plausible explana- suggest that the low recruitment may be responsible for the tion for the loss of SGS from reproductive to juvenile stages.
absence of SGS. In this population, seedling recruitment is However, under low recruitment due to habitat fragmenta- much more restricted than in the continuous population prob- tion, juveniles do not show a significant genetic structure pos- ably because of reduced seed production, microclimatic edge sibly because only few maternal siblings exist. Although effects, and biparental inbreeding (Tomimatsu and Ohara replicates of plots or populations may be needed to confirm 2002, 2004). Actually, the frequency of juveniles was only our conclusions, such comparative analysis between popula- 2.5 times that of reproductives in the fragmented population tions as well as between life-history stages can be useful to (cf., 9.5 times that of the continuous population; Figure 1).
understand the different potential causes of the SGS.
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