SciELO - Scientific Electronic Library Online

vol.80 issue3Identification of the antimicrobial substances produced by Solanum palinacanthum (Solanaceae)The importance of feeding in the larval development of the ghost shrimp Callichirus major (Decapoda: Callianassidae) author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand




Related links


Anais da Academia Brasileira de Ciências

Print version ISSN 0001-3765On-line version ISSN 1678-2690

An. Acad. Bras. Ciênc. vol.80 no.3 Rio de Janeiro Sept. 2008 



Evidences of delayed size recovery in Araucaria angustifolia populations after post-glacial colonization of highlands in Southeastern Brazil



Valdir M. StefenonI; Hermann BehlingII; Oliver GailingI; Reiner FinkeldeyI

IGeorg-August-University, Institute of Forest Genetics and Forest Tree Breeding, Büsgenweg 2, 37077, Göttingen, Germany
IIGeorg-August-University, Department of Palynology and Climate Dynamics Albrecht-von-Haller-Institute for Plant Sciences, Untere Karspüle 2, 37073 Göttingen, Germany

Correspondence to




Up to date, little is known about the relationship between historical demography and the current genetic structure of A. Angus As a first effort towards overcoming this lack, microsatellite data scored in six populations and isozyme allele frequencies published for 11 natural stands of this species were analysed in order to assess molecular signatures of populations' demographic history. Signatures of genetic bottlenecks were captured in all analysed populations of southeastern Brazil. Among southern populations, signatures of small effective population size were observed in only three out of 13 populations. Southern populations likely experienced faster recovery of population size after migration onto highlands. Accordingly, current genetic diversity of the southern populations gives evidence of fast population size recovery. In general, demographic history of A. Angusmatches climatic dynamics of southern and southeastern Brazil during the Pleistocene and Holocene. Palynological records and reconstruction of the past climatic dynamics of southeastern and southern Brazil support the hypothesis of different population size recovery dynamics for populations from these regions.

Key words: Araucaria angustifolia, genetic bottleneck, population size recovery, demographic history, climate dynamics, paleobotany.


Até o momento, pouco se conhece sobre a relação entre história demográfica e a presente estrutura genética da A. Angus Como uma primeira tentativa em transpor esta deficiência, dados de microssatélites coletados em seis populações e freqüências alélicas de isoenzimas publicadas para 11 populações naturais desta espécie foram analisadas com o objetivo de acessar assinaturas moleculares da história demográfica populacional. Assinaturas de gargalos genéticos foram capturadas em todas as populações analisadas provenientes do Sudeste do Brasil. Entre as populações do Sul, assinaturas de pequeno tamanho populacional efetivo foram observadas em somente três entre 13 populações. Populações do Sul provavelmente apresentaram uma rápida recuperação do tamanho efetivo após a migração para os planaltos. Em acordança, a presente diversidade genética das populações do Sul apresenta evidências de uma rápida recuperação do tamanho populacional. Em geral, a história demográfica da A. Angus concorda com as dinâmicas climáticas do Sul e Sudeste do Brasil durante o Pleistoceno e o Holoceno. Estudos palinológicos e reconstrução de dinâmicas climáticas do Sul e Sudeste do Brasil suportam a hipótese de diferentes dinâmicas de recuperação do tamanho populacional em populações destas regiões.

Palavras-chave: Araucaria angustifolia, gargalo genético,recuperação do tamanho populacional, história demográfica, dinâmica climática, paleobotânica.




Although the lands in Brazil have never been covered by ice sheets, the remarkable climatic changes during the Pleistocene and Holocene have influenced distribution and evolution of different species. For instance, due to the cold climate with long dry periods during the last glaciation (Ledru et al. 1998), the subtropical highlands of Brazil lacked forest formations and were covered by grassland throughout the Late Pleistocene, about 48000 to 18000 C yr BP (uncalibrated radiocarbon years before present). During this adverse period, dispersed stands of Araucaria Angus (Bert.) O. Kuntze were likely found in refugia where the moisture allowed species' survival (Behling 2002). The transition to wetter climatic conditions started about 6000to 5000 14C yr BP in southeastern and around 3000 14C yr BP in southern Brazil (Behling 2002). Based on palynological data (see Behling 2002 and references therein), it is presumed that a remarkable post-glacial recolonization of the southeastern and southern Brazilian highlands by A. Angus populations occurred around 3500 14C yr BP in form of larger gallery forests. About 1000 14C yr BP Araucaria forest expanded markedly into the Campos (grassland) vegetation, when climatic conditions became wetter with no marked dry season.

To date, different techniques have been applied to assess patterns of genetic structure in A. Angus (e.g. Shimizu and Higa 1980, Auler et al. 2002, Sousaet al. 2004, Mantovani et al. 2006, Stefenon et al. 2007, Schögl et al. 2007). However, little is known about the relationship between historical demography and the current genetic structure of this species. The coalescent approach (Kingman 1982) provides a powerful way to investigate the spatiotemporal process of genetic changes. The coalescent approach can be interpreted as a large-population approximation to gene genealogies in a number of neutral models with finite population size (Nordborg and Krone 2001). It is a stochastic model, which follows gene genealogies backwards in time and, based on robust statistical approaches, allows making inferences about the past demography of populations. Each segment of the genome is a replicate of the coalescent process, and the comparisons across multiple loci are more likely to accurately reflect population history. Multilocus microsatellite and isozyme data have been considered as very useful for inferring recent reductions in census and/or effective population size (Cornuet and Luikart 1996, Beaumont 1999). Here, two coalescent-based methods (the heterozygosity excess and the M-ratio analyses), a graphical analysis of allele frequency distribution and classical clustering analysis were applied to investigate molecular signature of demographic events based on individual microsatellite genotypes scored in six natural populations of A. Angus sampled in four States: São Paulo, Paraná, Santa Catarina and Rio Grande do Sul (see Table I). Additionally, allelic frequencies at isozyme loci scored in three populations from São Paulo State (Sousa et al. 2004, Mantovani et al. 2006, see Table II) and in eight populations from Santa Catarina State (Auler et al. 2002, see Table II) were analysed using the heterozygosity excess and the allele frequency distribution approaches. The main goal of this study was to investigate molecular signatures of genetic bottleneck due to post-glacial establishment of A. Angus populations in the highlands of southeastern and southern Brazil. It is believed that when a population has colonized a region through migration, it is much harder for following populations to advance. Therefore, it is likely that during a range change the last surviving population should be severely bottlenecked (Hewitt 2000). Given that migration of A. Angus into highlands occurred relatively recently, signatures of bottleneck events may be retained in its genome and are likely to be assessed through genetic analyses. Additionally, if such a reduction in effective population size occurred as effect of post-glacial migration from refugia onto highlands, it is expected that climate dynamics match the genetic demographic history of populations.




Multilocus microsatellite genotypes were scored at five loci [CRCAc2 (Scott et al. 2003), Ag20, Ag45, Ag94 (Salgueiro et al. 2005) and AA01 (Schmidt et al. 2007)] as described by Stefenon et al. (2007). Isozyme allelic frequencies were obtained from their original publications (Auler et al. 2002, Sousa et al. 2004, Mantovani et al. 2006). Founded on the principle that rare alleles are lost in populations which experienced a strong reduction in effective size (Nei et al. 1975), three methods were employed to search for signature of population bottlenecks. The first method consists in testing for heterozygosity excess in comparison to predictable heterozygosity under mutation-drift equilibrium considering the observed number of alleles (Cornuet and Luikart 1996). Heterozygosity excess should not be confused with the excess of heterozygotes (comparison of observed and expected heterozygoties). Bottlenecked populations are expected to reveal a significant excess of heterozygosity than estimated under equilibrium, because rare alleles are lost faster than the heterozygosity. Heterozygosity excess was tested by comparing the expected heterozygosity under mutation-drift equilibrium (HEQ) with the Hardy-Weinberg heterozygosity (He). Estimates of HEQ were obtained by simulating the coalescent process (10000 iterations) for each population following the two-phase mutation model (TPM; Di Rienzo et al. 1994), which assumes that most mutational changes result in an increase or decrease of one repeat unit but also incorporates mutations of larger size. The isozyme data were investigated using the infinite allele model (IAM; Kimura and Crow 1964), which assumes that each arising allele isunique. Statistical significance of the analyses was assessed using the Wilcoxon test (Luikart et al. 1998a).

The second approach is based on the assumption that populations that experienced a recent reduction in effective size tend to show a distortion of allele frequency distribution (Luikart et al. 1998b). For this mode-shift analysis, alleles were grouped into 10 allele frequency classes and plotted in a frequency histogram. Bottlenecked populations have a propensity to display a shifted distribution, with the incidence of alleles at frequency lower than 0.1 becoming lower than the incidence of alleles in an intermediate allele frequency class.

The third method consists in analysing the ratio of the total number of alleles (k) to the overall range in allele size (r) as M = k/r (Garza and Williamson 2001). For this analysis, alleles of the microsatellite locus Ag20 were binned into classes to fit the step-wise model. To test whether M-values are lower than expected (cases in which a population experienced a bottleneck), 10000 replicates of the coalescent process were simulated assuming a proportion of one-step mutations (ps) of 0.2, a mean size of non one-step mutations (Δg) of 3.5 and two different bottleneck population sizes, assuming a mutation rate (µ) of 10 mutations per locus per generation: Ne = 50 (θ = 0.02) and Ne = 500 (θ = 0.2), where θ = 4Neµ. Analyses were performed using the programs Bottleneck 1.2.02 (Piry et al. 1999) and M_P_VAL (Garza and Williamson 2001).

Further evidences of bottleneck events were investigated assuming that genetic distance values increase rapidly when a bottleneck occurs and, therefore bottlenecked populations tend to present elongated branches in cluster analyses (Takezaki and Nei 1996). Phylograms were constructed for microsatellite data with the program Populations 2.0 (Langella 2002) using the (δµ)2 genetic distance (Goldstein et al. 1995) and the neighbour-joining clustering algorithm.



The accentuated genetic differentiation reported among populations from southeastern and southern regions (e.g. Sousa et al. 2004, Stefenon et al. 2007) has been explained as effect of post-glacial migration from different refugia, which in addition to the geographical isolation, resulted in temporal isolation of the southeastern populations (Stefenon et al. 2007). Four populations analysed in this study belong to the southeastern region (CJ, CJm, CJs1 and CJs2 from São Paulo State; Fig. 1) and revealed signatures of bottleneck in at least one of the analyses. Among the southern populations (from Paraná, Santa Catarina and Rio Grande do Sul States), molecular signature of low population size was detected just in three out of 13 stands.



In the analysis of heterozygosity excess (Tables I and II) signature of bottleneck was detected only for population CJm, with excess of heterozygosity observed in six out of seven loci (Table II). Three out of these six loci revealed significant excess of heterozygosity at 5% level. The Wilcoxon test for the multilocus analysis was highly significant (P = 0.008).

In the mode-shift analysis of isozyme data, populations CJm, CJs1, CJs2 and FTB revealed a shifted distribution of alleles (Fig. 2A), characteristic of bottlenecked populations. All populations analysed with microsatellite markers revealed a normal distribution of alleles in this analysis (Fig. 2B), suggesting absence of bottleneck signature.



In the M-ratio analysis, populations BJ, RG and CJ revealed signatures of bottleneck (Table I) when considering an effective population size of 50 individuals for the post-migration population (θ = 0.02). When q was set to 0.2 in the M-ratio analysis (Ne = 500; Table I), signature of low effective population size was retained just in population CJ, emphasizing the occurrence of a bottleneck in this stand. Additional evidence of a bottleneck event in population CJ is given by the elongated branch revealed by this population in the neighbour-joining phylogram (Fig. 2C). Although displaying a relatively low bootstrap support (55%), such elongated branches are usually observed for bottlenecked populations (Takezaki and Nei 1996).


In this study, the occurrence of genetic bottlenecks in A. angustifolia populations was tested with complementary methods, providing a more comprehensive view of the demographic events related with historical low effective population size. The graphical method and the heterozygosity excess analysis are more powerful in detecting molecular signature when pre-bottleneck θ is small, the bottleneck was severe and the population recovered sample size quickly, while the M-ratio analysis is more efficient in opposite circumstances (Busch et al. 2007). Moreover, the heterozygosity excess and the shift-mode analyses are more powerful in capturing signatures of bottleneck from loci evolving under the IAM model (Cornuet and Luikart 1996), while the M-ratio was specifically designed to the analysis of allele distributions of loci evolving under the SMM and TPM models (Garza and Williamson 2001). The population size sampled for microsatellite analysis is also an important factor, given that (due to its high polymorphism) a higher number of alleles is expected to be observed if a larger sample size is investigate, fact that is not observed in isozyme analysis (see the similar number of observed alleles in populations with 10-fold difference in population size in Table II). The number of sampled individuals for themicrosatellite analysis was three times the number of alleles of the most variable locus (AA01 with 20 alleles), ensuring that the majority of the alleles in the population were sampled (Garza and Williamson 2001). Concerning the timeframe since the occurrence of the bottleneck, the methods cover different and complementary time windows: 0.2Ne to 4Ne generations for the heterozygosity excess method (Cornuet and Luikart 1996), 2Ne to 4Ne generations for the model shift method (Luikartet al. 1998b) and a comparative larger timeframe for the M-ratio analysis (Garza and Williamson 2001). Assuming a very low population size in the colonization of highlands by A. angustifolia may be unrealistic, given the high amount of pollen and seeds produced (one single tree can produce more than 1000 seeds per year; Mantovani et al. 2004). Thus, Ne = 50 individuals should be a reasonable approximation of the effective population size of the post-glacial founder populations of A. angustifolia. Assuming this post-bottleneck effective population size, the timeframe ranges from 10 to 200 generations for the heterozygosity excess analysis and from 100 to 200 generations for the shift-mode analysis. For the M-ratio analysis, this timeframe goes up to more than 200 generations. We intended to detect bottleneck events occurred as effect of the post-glacial migration of the species. Assuming a generation interval ranging from 15 to 30 years for A. angustifolia, the methods applied will detect signatures of bottleneck events occurred between 150 and more than 6000 years ago, covering the period of the migration onto highlands (1000to 3500 14C yr BP).


After a bottleneck, populations enter a recovery phase and new alleles are created by mutation. This population expansion and arise of new alleles generates a heterozygosity deficiency which can erase the signature of population decline (Cornuet and Luikart 1996). Consequently, signature of population reduction will be lost if population size recovery is fast. Recent forest exploitation should not be a source of bias in comparingA. angustifolia populations from southeastern and southern Brazilian regions, given that both share the same recent events (comprising the last 100 years). Assuming that the southeastern region was colonized earlier than the southern region, the preserved signature of a bottleneck suggests that southeastern stands recovered slowly after post-glacial migration onto highlands. On the other hand, southern populations may have displayed somewhat quicker effective size recovery, even if founded with low population size. Additionally, migration events among the southern stands might have overturned the effect of a bottleneck event on the allelic diversity of these populations. In small populations, the movement of just a few migrants can erase the signature of bottleneck in two to three generations (Busch et al. 2007).

Based on analyses of allelic structure of microsatellite loci, molecular signatures of genetic bottleneck were detected in an isolated stand but not in a large population of Pinus taeda in central Texas/USA (Al-Rabab'ah and Williams 2004). The occurrence of long dry periods during the Holocene was the reason postulated for the persistent low population size of the isolated population. Similar to P. taeda, prolonged drought is a likely factor to have intensified the effect of reduced effective size of A. angustifolia populations in southeastern Brazil. Ledru et al. (1998) propose that the modern climate in central Brazil was reached just about 2500 14C yr BP. If A. angustifolia colonized the southeastern Brazil about 3000 14C yr BP as suggested by the reconstruction of vegetation and polar advections trajectory (Ledru et al. 1998) and by the palynological record (Behling 1998, 2002), relatively dry periods followed the post-glacial migration for at least 500 years (these dating should be considered with caution due to imprecision of the radiocarbon method) and may have delayed population recovery in this region. At present day, the region of Campos do Jordão, southeastern Brazil, displays a low rainfall period of four months between May and August(Behling 1997b).

A shifted frequency distribution of alleles at five isozyme loci in the endemic P. maximartinezii was also interpreted as effect of an extreme bottleneck (Ledig et al. 1999). The authors evoked a rapid post-bottleneck expansion as the reasoning for the diminished effects of genetic drift observed. Similarly, rapid population expansion from a bottleneck event was suggested to explain the unimodal distribution of pairwise differences among individuals (chloroplast microsatellites analysis; Echt et al. 1998), the small estimated effective population size and the high selfing rate (nuclear microsatellites analysis; Boys et al. 2005) assessed in the widely distributed P. resinosa.

In the present study the mean number of alleles per locus observed was similar among bottlenecked and non-bottlenecked populations for microsatellites (44.7 and 44.3 respectively; p > 0.05; t-test = 0.61; d.f. = 4). Among the populations analysed with microsatellite markers, population CJ revealed the lowest numberof alleles and gene diversity (He). On the other hand, population RG revealed the highest number of alleles and gene diversity among the six investigated populations, although signature of bottleneck was captured in this stand in the M-ratio analysis with Ne = 50 (θ = 0.02). The high diversity observed in this population supports a quick effective size recovery in the southern region. As for microsatellites, the mean number of alleles per locus at isozyme markers was statistically not different between bottlenecked and non-bottlenecked populations (2.2 and 2.3 respectively; p > 0.05; t-test = 0.59; d.f. = 9). Comparing the eight populations analysed by Auler et al. (2002), population FTB revealed the third highest gene diversity (He) and mean number of alleles per locus. Considering the signature of bottleneck captured in this population in the mode-shift analysis, this comparatively high diversity is also evidence of a quick effective size recovery of the southern populations.

The general assumptions of the analyses employed in this study are based on multilocus investigations and on the mutation-drift model, assuming that a bottleneck event generated the observed genetic signatures (i.e. loss of heterozygosity and alleles and change in allele frequencies). Selection could also quickly change allele frequencies and generate similar loss of alleles (strong balancing selection or heterozygosity advantage could maintain alleles at intermediate frequencies and cause populations to appear to have been recently bottlenecked). However, it is unlikely that selection would reduce diversity simultaneously at many independent loci (Luikart et al. 1998a, b). For instance, no evidence of mode-shift distortion was observed in multilocus analysis of eight non-bottlenecked populations reported to have evidences of balancing selection at isozyme loci (Luikart et al. 1998b).


If the observed signatures of past population demography is an effect of the post-glacial migration of A. angustifolia from refugia onto highlands, it is expected that reconstructed climate dynamics match the genetic inferences. The presence of small populations of A. angustifolia in low elevated areas along rivers in southeastern Brazil and in deep protected valleys and/or on the Atlantic facing slops at lower elevations in southern Brazil during the glacial period is indicated by pollen analytical studies (Behling and Lichte 1997, Behling et al. 2002, 2004, 2007). Expansion of A. angustifolia from refugia as gallery forest at low elevations onto the higher mountains in southeastern Brazil (e.g. Campos do Jordão) started already during the late glacial period (Behling 1997b), while in southern Brazil a significant expansion onto highlands occurred when climate conditions were more suitable, about 3500 14C yr BP by the expansion of gallery forests and somewhat latter since about 1000 14C yr BP into the grassland (Behling 1998, 2002, Behling and Pillar 2007).

Based on the pollen record from four peat bogs in Santa Catarina, Behling (1995) suggested that A. angustifolia might have persisted in protected highland valleys during the Late Pleistocene ( > 10000 years ago). Just minor expansion as gallery forest along rivers occurred at the end of this period. The first major expansion of A. angustifolia onto highlands in Santa Catarina occurred as a result of a very moist climate, around 1000 14C yr BP (Behling 1995). Palynological data from Serra dos Campos Gerais in Paraná State (Behling 1997a) revealed a Late Quaternary vegetation and climate history very similar to that of Santa Catarina with a long dry season until the beginning of the Holocene. The expansion of A. angustifolia onto highlands in the Late Holocene is evidence of a shorter annual dry period around 2850 14C yr BP. The first broad expansion of A. angustifolia onto highlands in Paraná State occurred about 1500 14C yr BP (Behling 1997a). Past environmental changes reconstructed on basis of the pollen record from Cambará do Sul, in the Rio Grande do Sul State (Behling et al. 2004) corroborated the results from Santa Catarina and Paraná. A. angustifolia was likely found just in deep protected valleys and/or wetter coastal slopes. Replacement of grassland vegetation by A. angustifolia started around 1100 14C yr BP, reflecting the arrival of a wetter period without marked annual dry season. The pollen record from the southeastern highlands is more restricted, but a rather comprehensive reconstruction of the past climatic dynamics is available by Behling (1997b). The late Quaternary period (from about 35000 to 17000 14C yr BP) was represented by a cold and dry climate in this region. A comparatively warmer but still dry climate followed until around 2600 14C yr BP, forcing A. angustifolia to continue in moist refugia. After this period, a cool and moist climate allowed the expansion of A. angustifolia from refugia onto São Paulo highlands.

A comparative analysis of palynological records from southeastern and southern Brazilian highlands (Fig. 3) corroborates the occurrence of an expressive expansion of A. angustifolia populations in the southern States starting about 1500 to 1000 14C yr BP (Cambará do Sul, Rio do Rastro and Campos Gerais in Fig. 3), but a lack of such a major expansion in the southeastern region (São Paulo State; Itapeva in Fig. 3). This fact matches the molecular evidences of a post-glacial bottleneck in Campos do Jordão region followed by a slow recovery of effective population size, while southern populations experienced a fast size recovery after the post-glacial migration.




Despite the evidences of genetic bottlenecks revealed in this study, Busch et al. (2007) demonstrated that some biological features may lead to violations of the assumptions made for each of the methods employed here, obscuring the molecular signature of genetic bottlenecks. In addition, a low number of markers (both isozymes and microsatellites) were analysed. Therefore, corroboration of the demographic patterns observed should be obtained through genome sequencing which allows the use of more powerful tests for departure from mutation-drift equilibrium.

The action of indigenous people modifying the environment (e.g. cleaning the forest understory in the plantation of crops or in the excavation of pit houses; Bitencourt and Krauspenhar 2006) and transporting seeds during migrations likely was an important factor in shapping the current occurrence area and genetic structure of A. angustifolia in Brazil. The peak expansion of Araucaria forest during the Holocene coincides with the period of highlands occupation by indigenous groups of Taquara/Itararé Tradition (Bitencourt and Krauspenhar 2006, Iriarte and Behling 2007). Because of this close relationship between A. angustifolia and the indigenous people, the anthropogenic transport of seeds may not be ignored as contributing to the establishment of new A. angustifolia populations. Such new populations could be established with a small number of seeds and generate a kind of bottlenecked population, resulting in similar genetic signatures.

Here, signature of low effective size during populations' establishment and subsequent generations was assessed. However, consequences of recent population reduction and fragmentation in patterns of reproduction and species adaptedness will be observed just in future generations. Considering the increasing concern in conservation of A. angustifolia genetic resources, highlighting the species demographic history may aid to foresee and minimize unwanted events related to decreasing demographic and genetic population size. For instance, since isolation likely delays genetic recovery from asmall population size (as suggested by the molecular signature of the southeastern populations), promoting connectivity among fragments may be a fundamental issue in scheduling genetic conservation of the extantremnants of A. angustifolia.



We would like to thank Klabin S/A, Acauan Family and the staff of Parque Estadual de Campos do Jordão for supplying plant material for the study and Dr. L. Leinemann and Dr. VA Sousa for helpful comments in a previous version of this paper. VM Stefenon is supported with a grant from Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES), Brasília, Brazil. The comments of two anonymous referees aided the improvement of this paper.



AL-RABAB'AH MA AND WILLIAMS CG. 2004. An ancient bottleneck in the Lost Pines of central Texas. Mol Ecol 13: 1075–1084.         [ Links ]

AULER NMF, REIS MS, GUERRA MP AND NODARI RO. 2002. The genetics and conservation of Araucaria angustifolia: I. genetic structure and diversity of natural populations by means of non-adaptive variation in the state of Santa Catarina, Brazil. Genet Mol Biol 25: 329–338.         [ Links ]

BEAUMONT MA. 1999. Detecting population expansion and decline using microsatellites. Genetics 153: 2013–2029.         [ Links ]

BEHLING H. 1995. Investigations into the Late Pleistocene and Holocene history of vegetation and climate in Santa Catarina (S Brazil). Veget Hist Archaeobot 4: 127–152.         [ Links ]

BEHLING H. 1997a. Late Quaternary vegetation, climate and fire history in the Araucaria forest and campos region from Serra Campos Gerais (Paraná), S Brazil. Rev Palaeobot Palynol 97: 109–121.         [ Links ]

BEHLING H. 1997b. Late Quaternary vegetation, climate and fire history from the tropical mountain region of Morro de Itapeva, SE Brazil. Palaeogeogr Palaeoclimatol Palaeoecol 129: 407–422.         [ Links ]

BEHLINGH. 1998. Late Quaternary vegetational and climatic changes in Brazil. Rev Palaeobot Palynol 99: 143–156.         [ Links ]

BEHLING H. 2002. South and Southeast Brazilian grasslands during Late Quaternary times: a synthesis. Palaeogeogr Palaeoclimatol Palaeoecol 177: 19–27.         [ Links ]

BEHLING H AND LICHTEM. 1997. Evidence of dry and cold climatic conditions at glacial times in tropical Southeastern Brazil. Quat Res 48: 348–358.         [ Links ]

BEHLING H AND PILLAR V. 2007. Late Quaternary vegetation, biodiversity and fire dynamics on the southern Brazilian highland and their implication for conservation and management of modern Araucaria forest and grass-land ecosystems. Phil Trans R Soc B 362: 243–251.         [ Links ]

BEHLING H, ARZ HW, PÄTZOLD J AND WEFER G. 2002. Late Quaternary vegetational and climate dynamics in southeastern Brazil, inferences from marine core GeoB 3229-2 and GeoB 3202-1. Palaeogeogr Palaeoclimatol Palaeoecol 179: 227–243.         [ Links ]

BEHLING H, PILLAR V, ORLÓCI L AND BAUERMANN SG. 2004. Late Quaternary Araucaria forest, grassland (Campos), fire and climate dynamics, studied by high resolution pollen, charcoal and multivariate analysis of the Cambará do Sul core in southern Brazil. Palaeogeogr Palaeoclimatol Palaeoecol 203: 277–297.         [ Links ]

BEHLING H, DUPONT L, SAFFORD HD AND WEFER G. 2007. Late Quaternary vegetation and climate dynamics in the Serra da Bocaina, southeastern Brazil. Quat Internat 161: 22–31.         [ Links ]

BITENCOURT ALV AND KRAUSPENHAR PM. 2006. Possible prehistoric anthropogenic effect on Araucaria angustifolia (Bert.) O. Kuntze expansion during the Late Holocene. Rev Bras Paleontol 9: 109–116.         [ Links ]

BOYS J, CHERRRY M AND DAYANANDAN S. 2005. Micro-satellite analysis reveal genetically distinct populations of red pine (Pinus resinosa, Pinaceae). Am J Bot 92: 833–841.         [ Links ]

BUSCH JD, WASER PM AND DEWOODY A. 2007. Recent demographic bottlenecks are not accompanied by a genetic signature in banner-tailed kangaroo rats (Dipodomys spectabilis). Mol Ecol 16: 2450–2462.         [ Links ]

CORNUET JM AND LUIKART G. 1996. Description and power of two tests for detecting recent population bottlenecks from allele frequency data. Genetics 144: 2001–2014.         [ Links ]

DI RIENZO A, PETERSON AC, GARZA JC, VALDES AM,SLATKIN M AND FREIMER NB. 1994. Mutational processes of simple-sequence repeat loci in human populations. P Natl Acad Sci USA 91: 3166–3170.         [ Links ]

ECHT CS, DEVERNO LL, ANZIEDEI M AND VENDRAMINGG. 1998. Chloroplast microsatellites reveal population genetic diversity in red pine, Pinus resinosa Ait. Mol Ecol 7: 307–316.         [ Links ]

GARZA JC AND WILLIAMSON EG. 2001. Detection of reduction in population size using data from microsatellite loci. Mol Ecol 10: 305–318.         [ Links ]

GOLDSTEIN DB, LINARES AR, CAVALLI-SFORZA LL AND FELDMAN MW. 1995. Genetic Absolute dating based on microsatellites and the origin of modern humans. P Natl Acad Sci USA 92: 6723–6727.         [ Links ]

HEWITT G. 2000. The genetic legacy of the Quaternary ice ages. Nature 405: 907–913.         [ Links ]

IRIARTE J AND BEHLING H. 2007. The expansion of Araucaria forest in the southern Brazilian highlands during the last 4000 years and its implications for the development of the Taquara/Itararé Tradition. Environm Archaeol 12: 115–127.         [ Links ]

KIMURA M AND CROW JF. 1964. The number of alleles that can be maintained in a finite population. Genetics 49: 725–738.         [ Links ]

KINGMAN JFC. 1982. On the genealogy of large populations. J Appl Probab 19A: 27–43.         [ Links ] LANGELLA O. 2002. Populations (Version 1.2.28) Centre National de la Recherche Scientifique, France.         [ Links ]

LEDIG FT, CONKLE M-T, VELÁZQUEZ BB, PIEDRA TE, HODGSKISS PD, JOHNSON DR AND DVORAK WS. 1999. Evidence for an extreme bottleneck in a rare Mexican pinyon: genetic diversity, disequilibrium, and the mating system in Pinus maximartinezzi. Evolution 53: 91–99.         [ Links ]

LEDRU M-P, SALGADO-LABOURIAU ML AND LORS­CHEITTER ML. 1998. Vegetation dynamics in southern and central Brazil during the last 10,000 yr B.P. Rev Paleo­bot Palynol 99: 131–142.         [ Links ]

LUIKART G, SHERWIN WB, STEELE BM AND ALLENDORF FW. 1998a. Usefulness of molecular markers for detecting population bottlenecks via monitoring genetic change. Mol Ecol 7: 963–974.         [ Links ]

LUIKART G, ALLENDORF FW, CORNUET J-M AND SHER­WIN WB. 1998b. Distortion of allele frequency distributions provides a test for recent population bottlenecks. JHered 89: 238–247.         [ Links ]

MANTOVANI A, MORELLATO APC AND REIS MS. 2004. Fenologia reprodutiva e produção de sementes em Araucaria angustifolia (Bert.) O. Kuntze. Rev Bras Bot 27: 787–796.         [ Links ]

MANTOVANI A, MORELLATO APC AND REIS MS. 2006. Internal genetic structure and outcrossing rate in a natural population of Araucaria angustifolia (Bert.) O. Kuntze. JHered 97: 466–472.         [ Links ]

NEI M, MARUYAMA T AND CHAKRABORTY R. 1975. The bottleneck effect and genetic variability in populations. Evolution 29: 1–10.         [ Links ]

NORDBORG M AND KRONE SM. 2001. Separation of time scales and convergence to the coalescent in structured populations. In: SLATKIN M AND VEUILLE M (Eds), Modern Developments in Theoretical Populations Genetics, Oxford: Oxford University Press, p. 194–232.         [ Links ]

PIRY S, LUIKART G AND CORNUET JM. 1999. Bottleneck: a computer program for detecting recent reduction in the effective population size using allele frequency data. J Hered 90: 502–503.         [ Links ]

SALGUEIRO F, CARON H, DE SOUZA MIF, KREMER A AND MARGIS R. 2005. Characterization of nuclear microsatellite loci in South American Araucariaceae species. Mol Ecol Notes 5: 256–258.         [ Links ]

SCHMIDT AB, CIAMPI AY, GUERRA MP AND NODARIRO. 2007. Isolation and characterization of microsatellite markers for Araucaria angustifolia (Araucariaceae).Mol Ecol Notes 7: 340–342.         [ Links ]

SCHÖGL PS, SOUZA AP AND NODARI RO. 2007. PCR­RFLP analysis of non-coding regions of cpDNA in Araucaria angustifolia (Bert.) O. Kuntze. Genet Mol Biol 30: 423–427.         [ Links ]

SCOTT LJ, SHEPHERD M AND HENRY RJ. 2003. Characterization of highly conserved microsatellites loci in Araucaria cunninghamii and related species. Plant Syst Evol 236: 115–123.         [ Links ]

SHIMIZU JY AND HIGA AR. 1980. Variação genética entre procedências de Araucaria angustifolia (Bert.) O. Ktze. na região de Itapeva-SP,estimada até o 6º ano de idade. In: IUFRO MEETING ON FORESTRY PROBLEMS OF THE GENUS Araucaria, Proceedings of the Meeting, Curitiba: IUFRO, p. 78–82.         [ Links ]

SOUSA VA,ROBINSONIPANDHATTEMERHH. 2004. Variation and population structure at enzyme gene loci in Araucaria angustifolia (Bert.) O. Ktze. Silvae Genet 53: 12–19.         [ Links ]

STEFENON VM, GAILING O AND FINKELDEY R. 2007. Genetic structure ofpopulations in Brazil: implications for the Araucaria angustifolia (Araucariaceae)in situ conservation of genetic resources. Plant Biology 9: 516–525.         [ Links ]

TAKESAKI NANDNEIM. 1996. Genetic distances and reconstruction of phylogenetic trees from microsatellite DNA. Genetics 144: 389–399.         [ Links ]



Correspondence to:
Valdir M. Stefenon

Manuscript received on August 9, 2007; accepted for publication on February 2, 2008; presented by ALEXANDER W. A. KELLNER

Creative Commons License All the contents of this journal, except where otherwise noted, is licensed under a Creative Commons Attribution License