Abstract
The Espinhaço Range, in eastern Brazil, has a peculiar landscape that has influenced the vegetation pattern of the region because of its valleys, canyons, ranges and disjunct rock outcrops found at high elevations. In this region, the vegetation type known as campos rupestres (rupestrian fields), which occurs in the disjunct outcrops, has high levels of species richness and endemism. Vellozia gigantea, a 6-m tall dracenoid monocot, is a vulnerable species endemic to this vegetation and has a narrow distribution that extends approximately 27 km. This region is located in a disturbed area, where populations are divided into three geographical groups, separated by a canyon and a valley. For this study, we used ISSR markers to measure the genetic diversity of the species and test the hypothesis that the canyon and the valley constitute geographical barriers to gene flow in V. gigantea. Nine populations and 173 individuals were analyzed using nine ISSR primers, which produced 89 fragments. In spite of being a vulnerable species with a narrow distribution, the populations of V. gigantea have high genetic diversity (mean percentage of polymorphic loci = 56.6%; mean Shannon’s index of diversity = 0.278; mean expected heterozygosity = 0.183). Genetic divergence among populations was high (ΦST = 0.28), and principal coordinate, neighborjoining and Bayesian analyses showed that only the canyon may constitute a partial barrier to gene flow in this species. Groups of populations separated by the canyon should be managed separately because they contain different gene pools.
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Introduction
The Espinhaço Mountain Range is a highly biodiverse region in eastern Brazil (in the states of Minas Gerais and Bahia) extending approximately 1,000 km in a North–South direction. The southern portion of this region has been designated as part of the Biosphere Reserve (UNESCO 2005). Within the Espinhaço Range there are several high-elevation regions with high biodiversity, including Chapada Diamantina in Bahia and Serra do Cipó in Minas Gerais states. The Espinhaço Range has a vegetation type called campos rupestres (rupestrian fields or rocky fields) that is known for its species richness and high endemism, and convergence of vegetative habit is common among several families (Joly 1970; Giulietti and Pirani 1988). It has been estimated that approximately 30% of the taxa from the campos rupestres are restricted to this geological formation, especially within some plant groups, such as Velloziaceae and Eriocaulaceae. Due to the discontinuity of the mountains of the Espinhaço Range, the plant species are distributed in disjunct populations, especially those occurring on isolated rock outcrops. This disjunction has been considered one of the main factors that lead to the high species diversity of the campos rupestres (Giulietti and Pirani 1988).
The Velloziaceae comprise approximately 240 species that are predominantly Neotropical. The majority of the diversity and endemism within the family occurs in the eastern mountains of Brazil, especially in the campos rupestres of the Espinhaço Range (Menezes et al. 1994). Vellozia, with about 105 species, is the largest genus in the family. The species of this genus are locally known as canela-de-ema and are common in the campos rupestres (Giulietti and Pirani 1988). Several Vellozia, especially the shrub and arborescent (dracenoid) species, are important phorophytes for many taxa, such as species of the Orchidaceae, and some of these epiphytes are exclusive to the stems of Vellozia (Barros and Lourenço 2004).
Vellozia gigantea N.L. Menezes & Mello-Silva is a relatively recently described species (Mello-Silva and Menezes 1999), considered vulnerable according to Biodiversitas (2005), and has been given a deficient data conservation status by the Ministério do Meio Ambiente (MMA 2008). It is a narrowly endemic species with a linear area of distribution that extends approximately 27 km and occurs in a region that is disturbed by recurrent fires associated with cattle farming and urbanization. When it was first described only one population was known to exist, in the Serra do Cipó National Park (Fig. 1) (Mello-Silva and Menezes 1999). Vellozia gigantea is the tallest species in the family, reaching more than 6 m. Its stems are often densely covered with many species of epiphytes (mainly orchids, bromeliads and pteridophytes), which are extremely sensitive to over-collecting. Vellozia gigantea has great potential to be a “flag-species” because its image is closely linked to the tourism industry in Serra do Cipó, due to its unusual habit and beauty. Mello-Silva and Menezes (1999) highlighted that the flowering cycle of the species is irregular and recruitment of new individuals appears to be limited; however, mass flowering is often induced by fires that are usually caused by humans (ICMBio 2009). Recently, eight other populations were discovered in the Serra do Cipó region at elevations between 1,200 and 1,500 m. Three major groups of V. gigantea populations can be recognized based on their distribution in relation to two geological formations, a canyon (Canyon Travessão) and a valley between a range (Serra do Lobo) and the continuous massive rocky area of the Serra do Cipó region (Fig. 1). These geological formations may constitute significant barriers to the gene flow between groups of populations, promoting genetic differentiation among them.
The biology and life history of V. gigantea are almost unknown, with only seed germination studies carried out for this species (Garcia and Diniz 2003). However, studies on other Vellozia species showed that they are perennial, desiccation-tolerant, well adapted to fire and self-incompatible (Sazima 1978; Oliveira et al. 1991; Alves 1994; Ibisch et al. 1995; Porembski and Barthlott 1995; Franceschinelli et al. 2006). Bees are the major pollinators (Jacobi and del Sarto 2007), but other groups, such as hummingbirds and Lepidoptera, pollinate some species (Franceschinelli et al. 2006). The seeds of Vellozia are small and are dispersed by gravity (Franceschinelli et al. 2006) or wind, but they are not carried over long distances (Ibisch et al. 2001).
Life history characteristics of plants, such as taxonomic status, life form, geographical range, breeding system, seed dispersal and successional status have been related to genetic diversity and its spatial distribution (Hamrick and Godt 1996; Nybom and Bartish 2000; Nybom 2004). On average, annual, self- or mixed-breeding, early- or mid-successional species show lower levels of intra-population diversity than long-lived perennial, outcrossing, late-successional taxa. Moreover, annual, self-breeding, gravity- and attachment-dispersed plants show higher levels of inter-population diversity than long-lived perennial, outcrossing, wind-, water- and animal-dispersed plants. Another important factor influencing the genetic diversity and genetic structure of plant species is the demographic history of the populations. Threatened species with fragmented and small populations generally show low intra-population diversity and high differentiation among populations (Young et al. 1996; Frankham et al. 2002).
All V. gigantea populations are vulnerable because of the occurrence of illegally set fires, and even within the National Park, because of the presence of cattle, their trails, and the collection of the stems for the orchids that grow on them. To create a plan for its conservation and management, in order to ensure the preservation of the species, it is essential to know the structure and history of the existing populations, the existence of demographic partitions throughout its distribution and the hierarchical distribution of its genetic diversity (Excoffier et al. 1992; Moritz 1995). By using highly variable DNA markers (ISSR), we tested two hypotheses in this study: (1) Both Canyon Travessão and Serra do Lobo valley constitute geographical barriers to gene flow in Vellozia gigantea, and the genetic variability of the species is structured according to the three geographical groups; (2) this species and its populations show low genetic diversity due to narrow distribution and human disturbance.
Materials and methods
Plant material
Young leaves of 173 individuals from all nine known populations of V. gigantea were collected in the campos rupestres of the Serra do Cipó, at Espinhaço Range in Minas Gerais state, southeastern Brazil (Table 1). Almost all populations are inserted either in the National Park of Serra do Cipó or in the Environmental Protection Area (Área de Proteção Ambiental—APA) Morro da Pedreira (Fig. 1). One of these populations (CB) covers a small disjunct mountain range (Serra do Lobo) and is situated outside of the APA, close to a mining area. The nine populations were clustered in three groups (I, II and III) according to their spatial distribution in relation to a canyon (Canyon Travessão) and a valley between a range (Serra do Lobo) and the continuous massive rocky of Serra do Cipó region (Fig. 1). Canyon Travessão separates group I in the north (AP, LE, ES and SE populations) from group II in the south (NE, SR, CP and SB populations). Group III (CB population) is located in a small isolated mountain range, Serra do Lobo and separated from Group II by the valley (Fig. 1). Leaf samples from 15 to 20 individuals per population were collected and stored on silica gel until DNA extraction.
DNA isolation and ISSR-PCR
Approximately 150 mg of dry leaves were used for DNA extraction according to Doyle and Doyle (1987) protocol, slightly modified as suggested by Ferreira and Grattapaglia (1995). The cetyltrimethylammonium bromide (CTAB) protocol uses the following buffer: 100 mM Tris pH 8.0, 20 mM ethylenediamine tetraacetic acid (EDTA), 1.4 M NaCl, 2% of CTAB, 1% of polyvinylpyrolidone (PVP) and 2% of ß-mercaptoethanol. The concentration of DNA was visually quantified using 0.8% agarose gel by comparison with standard DNA concentrations. DNA was diluted in TE buffer to a final concentration of approximately 5 ng/μl prior to PCR amplifications.
PCR amplifications were carried out in a total volume of 19 μl, containing 20 ng of DNA template, 2.0 μl 10x PCR buffer, 0.21 mM dNTPs, 0.32 μM primer, 1 unit of Taq polymerase (Phoneutria) and double-distilled water. The reactions were performed in a Mastercycler thermocycler (Eppendorf). The program consisted of an initial denaturation of 94°C for 4 min, followed by 37 cycles of 1 min at 94°C, 2 min at 46.1–50.1°C (depending on the primer), 2 min at 72°C and a final extension of 7 min at 72°C. A negative control, in which DNA template was omitted, was included in each PCR. Amplification products were electrophoretically separated at a constant voltage of 60 V for 4 h in 1.5% agarose gels with 0.5x TAE buffer, stained with ethidium bromide and photographed under UV light. A 100 bp DNA ladder was used to estimate the molecular size of the fragments. Thirty primers were tested to identify those that produce sharp and reproducible markers, and nine of them were selected for use (Table 2). Positive controls were used, including DNA from individuals of other populations and other species (V. compacta), of which amplification profiles were already known from previous procedures. This procedure allowed us to compare gel photographs and monitor the reproducibility of the technique.
Data analysis
The fragments amplified by ISSR were visually scored assuming that amplified products of similar molecular size, amplified with the same primer, were homologous. ISSR bands were scored as 1 (presence) or 0 (absence) and a matrix of ISSR phenotypes was constructed. Only data from unambiguous intensely stained clear bands were used for data analyses. The software POPGENE v. 1.32 (Yeh et al. 1999) was used to obtain genetic diversity parameters: percentage of polymorphic loci (P), Shannon’s index of phenotypic diversity (I) and expected heterozygosity (H e). Shannon’s index was estimated as I = −Σp i Lnp i /n, (where p i is the frequency of the band and n is the number of markers evaluated) and expected heterozygosity as H e = 1 − Σp 2 i . Nei’s unbiased genetic distance (1978) was calculated (POPGENE v.1.32) for all population pairs and used to construct a phenetic tree with neighbor-joining as grouping algorithm using MEGA 4.1 (Kumar et al. 2004) and to carry out a Principal Coordinate Analysis (PCO) with Genealex 6 (Peakall and Smouse 2006). The Bayesian algorithm in AFLP-SURV (Vekemans et al. 2002) was used to generate 1,000 dissimilarity matrices, which were used to construct 1,000 neighbor-joining trees using the NEIGHBOR module in PHYLIP 3.69 (Felsenstein 2006). The CONSENSE module was then used to compute a majority-rule consensus tree, from which bootstrap values were obtained.
Arlequin 3.0 (Excoffier et al. 2005) was used to perform Mantel test and Analysis of Molecular Variance (AMOVA). Mantel test was used to test correlations between the matrices of pairwise F ST/(1-F ST) and Ln of geographical distances (Slatkin 1995). Five AMOVAs were performed. One considered only two hierarchical levels and analyzed the partition of total genetic diversity among and within populations. Two AMOVAs tested for geographical barriers to gene flow, one for Canyon Travessão, which clustered populations into two groups (I and II + III) and another for both barriers, Canyon Travessão and Serra do Lobo valley, which clustered populations in three geographical groups (I, II and III). The remaining two AMOVAs grouped populations according to results of the Bayesian analysis. Statistical significance of the covariance components and fixation indices were determined through permutation tests against a null distribution generated by the data.
A Bayesian analysis was performed using the software STRUCTURE 2.2 (Falush et al. 2007) to infer the number of genetic clusters (K). The number of genetic clusters (K) was set of K = 1 to K = 9 and 15 independent runs were made for each K. Each run was pursued for 1,000,000 Markov chain Monte Carlo (MCMC) iterations, with an initial burn-in of 100,000 iterations, with the admixture model with alleles correlated among populations. To infer the number of genetic clusters (populations), we calculated the average of each K likelihood value, ‘log of probability’ (LnP(D)), through all runs as suggested by Pritchard et al. (2000) and the statistic ΔK according to Evanno et al. (2005). As done in several other studies (e.g., Pérez-Collazos et al. 2008; Segarra-Moragues and Catalán 2010), the F ST value obtained in ARLEQUIN was used to estimate the number of populations needed to represent a given proportion (P) of the genetic diversity according to the modified equation of Ceska et al. (1997): P = 1 − (F ST)n, where n is the number of the populations that are necessary to represent a proportion P of the among-population genetic diversity. A proportion of 99.9% of the total genetic diversity was set for V. gigantea.
Results
The nine primers used resulted in 89 fragments with good resolution. Each primer amplified 6–14 fragments ranging from 200 to 2,200 bp (Table 2). The percentage of polymorphic fragments at the species level was 88.8%, and at the population level the polymorphism ranged from 47.2 to 68.5% (Table 3). For the species, the expected heterozygosity (H e) and Shannon’s index (I) were 0.256 and 0.395, respectively. Populations showed relatively high genetic variability, with mean H e and I equal to 0.183 and 0.277, respectively. Population CB had the lowest genetic diversity (H e = 0.140, I = 0.216) and population ES and AP had the highest diversity (H e = 0.225 and 0.222, I = 0.339 and 0.334, respectively) (Table 3).
The AMOVA that considered only two hierarchical levels (Table 4) showed that most of the variation was found within populations (72.0%, ΦST = 0.28). In the AMOVA clustering the populations in two groups (one with populations of geographic group I and another with the remaining populations (groups II + III)), 7.8% of the total variation was found between the two groups and 22.8% among populations within the groups (data no shown). In the analysis that considered the three geographic groups, north and south of Canyon Travessão and Serra do Lobo, 8.0% of the total variation was found among the groups and 22.0% among populations within groups (Table 4).
The graphic with the average values of LnP (K) from the Bayesian analysis, carried out in STRUCTURE, showed a large increase in the values at K = 2, and the beginning of a stabilization at K = 3, when the curve had regular increments of values (Fig. 2a). Likewise, the results of ΔK statistics showed a higher peak at K = 2 but also a very high value for K = 3, with values close to zero from K = 4 (Fig. 2b). These results indicate a main structure in two major genetic clusters, with a secondary structure in one of these clusters. Considering K = 2 (main structure), we observed a predominant genetic cluster containing populations AP, ES, SE and NE and the other with populations CP, SB and CB, with populations LE and SR in both genetic clusters (Fig. 2c). For K = 3, NE and SR populations constituted a third genetic cluster (Fig. 2d), and one of the three genetic clusters contained only populations of the geographical group I (AP, LE, ES and SE). Considering K = 3, only population LE exhibited strong structuring. AMOVA reinforced the results obtained by STRUCTURE, and showed that 10.9% of the total variation is found between the two main clusters, and 13.0% of total variation is found among the three clusters (Table 4).
The neighbor-joining dendrogram clustered the populations into two main clusters, one corresponding to populations of geographical group I with populations SR and NE (group II) and another containing populations SB, CP (group II) and CB (group III) (Fig. 3). The first cluster is subdivided into small clusters, one containing populations SR e NE, as observed in the Bayesian analysis. Population LE is located in an intermediate position between the two main groups in the dendrogram, probably due to its mixed gene pool as shown in the Bayesian analysis. AP and CB are the most divergent populations.
In the PCO analysis, 55.0% of the total variability is explained by the first two axes (axis 1 = 34.7% and axis 2 = 20.3%) (Fig. 4). This analysis was concordant with the Bayesian analysis and cluster analysis, which ordered the populations into the same three groups and showed the genetic separation of geographical group I from the other populations. The second cluster was comprised of populations SR and NE (geographical group II) and the third by populations SB, CP (group II) and CB (group III). Similar to the previous analysis, PCO showed the intermediate position of population LE, due to individuals sharing the genetic pool with the three geographical groups. The Mantel test showed a positive and significant correlation (r = 0.474 and P = 0.002) between pairwise F ST/(1 − F ST) and geographical distances. In spite of the small geographical distance between populations (1.1–27.3 km), the pairwise F ST ranged from 0.149 to 0.411, with population AP and CB showing the highest values (Table 5). According to the F ST value (0.28), the conservation of six (5.43) populations is necessary in order to represent 99.9% of the total diversity of the species.
Discussion
The Vellozia gigantea populations showed genetic diversity levels similar to other mixed/outcrossing species analyzed with RAPD markers (Nybom and Bartish 2000; Nybom 2004). As ISSR, RAPD are dominant markers and estimates derived by them are similar and comparable (Nybom 2004). The breeding system of V. gigantea is not known, but self-incompatibility has been found for some species in the genus (Sazima 1978; Oliveira et al. 1991; Jacobi and del Sarto 2007). Unexpectedly, the intra-population diversity was higher than that found in the widely distributed congener V. compacta, which was evaluated using the same set of ISSR primers (Lousada 2010). The comparison of narrowly endemic species with congenerics that have regional distributions, within the Espinhaço Range, showed lower levels of intra-population genetic diversity for the narrowly distributed species, both in Vellozia (Franceschinelli et al. 2006) and in Chamaecrista (Silva et al. 2007). In this same geological formation, Jesus et al. (2001, 2009) and Lambert et al. (2006a, b) also found low genetic variability for endemic species of Asteraceae and Cactaceae. On the other hand, Borba et al. (2001, 2007), Azevedo et al. (2007) and Ribeiro et al. (2008) found high genetic diversity in rupicolous orchids from campos rupestres in the Espinhaço Range. It was expected that V. gigantea, which has a very restricted distribution, would display low levels of genetic diversity. One explanation for the moderate to high levels of genetic diversity found in this species could be related to its long life cycle and to its relatively large populations. Apparently, human disturbances (such as fires related to cattle farming, tourists, and the illegal collection of V. gigantea stems for the orchids that grow on them or, in the past, as a fuel source) have not seriously affected the diversity of V. gigantea yet, or the partition of this diversity.
The fixation index of V. gigantea (ΦST = 0.28) was similar to outcrossing species (0.27), long-lived perennial species (0.25) and species with wind-dispersed seeds (0.25), analyzed with RAPD markers (Nybom 2004). However, the genetic divergence among V. gigantea populations was high for a narrowly endemic species and partially confirmed our first hypothesis that geological formations constitute partial barriers to gene flow. The PCO, cluster and Bayesian analyses showed that the Canyon Travessão might constitute a partial barrier to gene flow in V. gigantea. However, the Serra do Lobo valley does not appear have restricted the gene flow in this species. Several genetic studies with plant species from the campos rupestres of the Espinhaço Range have shown moderate to high genetic divergence among populations, such as Orchidaceae (Borba et al. 2001; Ribeiro et al. 2008), Asteraceae (Jesus et al. 2001, 2009), Cactaceae (Lambert et al. 2006a, 2006b), Velloziaceae (Lousada 2010) and Leguminosae (Silva et al. 2007). These studies reinforce the hypothesis that the discontinuity of the mountains of the Espinhaço Range is one of the main factors that lead to the divergence among populations. High divergence among populations of Antirrhinum valentinum (Scrophulariaceae), a narrow endemic plant in southeastern Spain, was also associated with habitat discontinuity (Mateu-Andrés and Segarra-Moragues 2000).
Another factor that appears to influence the genetic structure of V. gigantea is isolation by distance, which is evident when looking at the correlation between geographical distance and pairwise F ST in the Mantel test. Apparently, despite being light and flat, the seeds of V. gigantea are not dispersed by wind over long distances, like those of two other species of Vellozia (Franceschinelli et al. 2006). Although measurements were not made, most of the seeds produced by V. gigantea appear to fall near the parent plant and large clusters of seedlings can be found in some of these places. The pollinators of V. gigantea are not known; however, the results of the genetic structure obtained in this study suggest that gene flow through pollen is limited.
Implications for conservation
According to our results, special attention needs to be given to conserve each of the main genetic groups, one constituting the geographical group I and the other geographical groups II and III. Loss of one of the two main genetic groups could affect the genetic diversity of V. gigantea. Estimates from the F ST value indicated that six populations would adequately represent 99.9% of the genetic diversity attributable to most common alleles. Based on genetic divergence of the others, genetic variation and degree of threat, priority populations to monitor could be AP, LE (cluster 1), NE, SR (cluster 2), CB and CP (cluster 3). Population LE is the closest large population to the Travessão Canyon and, because it has a mixed ancestry to geographic groups I and II it represents a source of variation for other populations from group I. It may also represent a connection between these groups, and its disappearance could lead to complete isolation between these two groups. Population AP is one of the most differentiated populations and it deserves immediate concern. Even though it is in the National Park, it is vulnerable due to its proximity to the main road inside the National Park. Currently this population is threatened by the presence of tourists, illegal collection of epiphytes, illegally set fires, and because there are cattle ranches on the other side of the road (Ribeiro et al. unpublished data).
Populations NE and SR are also priorities, because they represent a different genetic cluster, and NE is a large population that by its intermediate spatial position can represent a stepping-stone for gene flow between populations. Therefore, population CB (geographical group III), which has the lowest level of genetic diversity and is located outside the two protected areas (the Serra do Cipó National Park and the APA Morro da Pedreira) near an iron ore mine, must be urgently protected. The first management plan of the National Park was recently approved (ICMBio 2009). It proposes an increase in the limits of the National Park, which includes all populations except CB. However, if constant monitoring does not occur, the populations will continue to suffer from the current threats. Population CP, which showed one of the lowest values of genetic diversity, is also of special concern due to anthropogenic activities. This population is composed of scattered subgroups, where some of the patches of plants are found within the Park and many others are found outside of it, and all of the patches are heavily affected by fires.
The conservation of Vellozia gigantea will probably ensure the survival of other species, such as several epiphytes. Some of these species occur exclusively on its stems, such as the very rare orchid Grobya cipoensis (Barros and Lourenço 2004). The monitoring of these populations will also contribute to the preservation of the campos rupestres, which has a highly diverse and endemic flora.
References
Alves RJV (1994) Morphological age-determination and longevity in some Vellozia populations in Brazil. Folia Geobot Fitotax 29:55–59
Azevedo MTA, Borba EL, Semir J, Solferini VN (2007) Very high genetic variability in Neotropical myophilous orchids. Bot J Linn Soc 153:33–40
Barros F, Lourenço RA (2004) Synopsis of the Brazilian orchid genus Grobya, with the description of two new species. Bot J Linn Soc 145:119–127
Biodiversitas (2005) Lista da flora brasileira ameaçada de extinção. Fundação Biodiversitas, Belo Horizonte
Borba EL, Felix JM, Solferini VN, Semir J (2001) Fly-pollinated Pleurothallis (Orchidaceae) species have high genetic variability: evidence from isozyme markers. Am J Bot 88:419–428
Borba EL, Funch RR, Ribeiro PL, Smidt EC, Silva-Pereira V (2007) Demography, and genetic and morphological variability of the endangered Sophronitis sincorana (Orchidaceae) in the Chapada Diamantina, Brazil. Pl Syst Evol 267:129–146
Ceska JF, Affolter JM, Hamrick JL (1997) Developing a sampling strategy for Baptisia arachnifera based on allozyme diversity. Conserv Biol 11:1133–1139
Doyle JJ, Doyle JL (1987) Isolation of plant DNA from fresh tissue. Focus 12:13–15
Evanno G, Regnaut S, Goudet J (2005) Detecting the number of clusters of individuals using the software STRUCTURE: a simulation study. Mol Ecol 14:2611–2620
Excoffier L, Smouse PE, Quattro JM (1992) Analysis of molecular variance inferred from metric distances among DNA haplotypes: application to human mitochondrial DNA restriction data. Genetics 131:479–491
Excoffier L, Laval G, Schneider S (2005) Arlequin ver. 3.0: an integrated software package for population genetics data analysis. Evol Bioinform Online 1:47–50
Falush D, Stephens M, Pritchard JK (2007) Inference of population structure using multilocus genotype data: dominant markers and null alleles. Mol Ecol Notes 7:574–578
Felsenstein J (2006) PHYLIP: phylogeny inference package, version 3.66, July 2006. University of Washington, Seattle. Available for download at http://evolution.gs.washington.edu/phylip.html
Ferreira ME, Grattapaglia D (1995) Introdução ao uso de marcadores moleculares em análise genética, 2nd edn. EMBRAPA-CENARGEN, Brasília
Franceschinelli EV, Jacobi CM, Drummond MG, Resende MFS (2006) The genetic diversity of two Brazilian Vellozia (Velloziaceae) with different patterns of spatial distribution and pollination biology. Ann Bot 97:585–592
Frankham R, Ballou JD, Briscoe DA (2002) Introduction to conservation genetics. Cambridge University Press, Cambridge
Garcia QS, Diniz ISS (2003) Comportamento germinativo de três espécies de Vellozia na Serra do Cipó, MG. Acta Bot Bras 17:487–494
Giulietti AM, Pirani JR (1988) Patterns of geographic distribution of some plant species from the Espinhaço Range, Minas Gerais and Bahia, Brazil. In: Vanzolini PE, Heyer WR (eds) Proceedings of a workshop on neotropical distribution patterns. Academia Brasileira de Ciências, Rio de Janeiro, pp 39–69
Hamrick JL, Godt MJW (1996) Effects of life history traits on genetic diversity in plant. R Soc Lond 351:1291–1298
Ibisch PL, Rauer G, Rudolph D, Barthlott W (1995) Floristic, biogeographical and vegetational aspects of Precambrian rock outcrops (inselbergs) in Eastern Bolivia. Flora 190:299–314
Ibisch PL, Nowicki C, Vasquez R, Koch K (2001) Taxonomy and biology of Andean Velloziaceae: Vellozia andina sp. nov. and notes on Barbaceniopsis (including Barbaceniopsis castillonii comb. nov.). Syst Bot 26:5–16
ICMBio (2009) Plano de Manejo do Parque Nacional da Serra do Cipó. Instituto Chico Mendes de Conservação da Biodiversidade, Brasília. http://www.icmbio.gov.br/ChicoMendes/PlanoManejo/ProtecaoIntegral/Encartes 1, 2 e 4.zip. Acessed 24 May 2010
Jacobi CM, del Sarto MCL (2007) Pollination of two species of Vellozia (Velloziaceae) from high-altitude quartzitic grasslands, Brazil. Acta Bot Bras 21:325–333
Jesus FF, Solferini VN, Semir J, Prado PI (2001) Local genetic differentiation in Proteopsis argentea (Asteraceae), a perennial herb endemic in Brazil. Pl Syst Evol 226:59–68
Jesus FF, Abreu GA, Semir J, Solferini VN (2009) Low genetic diversity but local genetic differentiation in endemic Minasia (Asteraceae) species from Brazil. Pl Syst Evol 277:187–196
Joly AB (1970) Conheça a vegetação brasileira. EDUSP, São Paulo
Kumar S, Tamura K, Nei M (2004) Mega3: integrated software for molecular evolutionary genetics analysis and sequence alignment. Brief Bioinform 5:50–163
Lambert SM, Borba EL, Machado MC, Andrade SCS (2006a) Allozyme diversity and morphometrics of Melocactus paucispinus (Cactaceae) and evidence for hybridization with M.concinnus in the Chapada Diamantina, North-eastern Brazil. Ann Bot 97:389–403
Lambert SM, Borba EL, Machado MC (2006b) Allozyme diversity and morphometrics of the endangered Melocactus glaucescens (Cactaceae), and investigation of the putative hybrid origin of Melocactus × albicephalus (Melocactus ernestii × M. glaucescens) in north-eastern Brazil. Pl Spec Biol 21:93–108
Lousada JM (2010) Genética da Conservação de duas espécies de Vellozia (Velloziaceae), V. gigantea e V. compacta, endêmicas dos campos rupestres da Cadeia do Espinhaço. Dissertation, Universidade Federal de Minas Gerais
MA M (2008) Lista Nacional das Espécies da flora brasileira ameaçadas de extinção. Ministério do Meio Ambiente, Brasília
Mateu-Andrés I, Segarra-Moragues JG (2000) Population subdivision and genetic diversity in two narrow endemics of Antirrhinum L. Mol Ecol 9:2081–2087
Mello-Silva R, Menezes NL (1999) Two new Brazilian Velloziaceae, Vellozia auriculata and Vellozia gigantea, and a key to the related dracenoid species of Vellozia. Novon 9:536–541
Menezes NL, Mello-Silva R, Mayo SJ (1994) Cladistic analysis of the Velloziaceae. Kew Bull 49:71–92
Moritz C (1995) Uses of molecular phylogenies for conservation. Phil Trans R Soc Lond B 349:113–118
Nei M (1978) Estimation of average heterozygosity and genetic distance from a small number of individuals. Genetics 89:583–590
Nybom H (2004) Comparison off different nuclear DNA markers for estimating intraspecific genetic diversity in plants. Mol Ecol 13:143–1155
Nybom H, Bartish IV (2000) Effects of life history traits and sampling strategies on genetic diversity estimates obtained with RAPD markers in plants. Perspect Pl Ecol Evol Syst 3:93–144
Oliveira PE, Gibbs PE, Bianchi M (1991) Pollination and breeding system of Vellozia squamata (Liliales, Velloziaceae)—a species of the Brazilian cerrados. Bot Acta 104:392–398
Peakall R, Smouse PE (2006) GENALEX 6: genetic analysis in Excel. Population genetic software for teaching and research. Mol Ecol Notes 6:288–295
Pérez-Collazos E, Segarra-Moragues JG, Catalán P (2008) Two approaches for the selection of relevant genetics units for conservation (RGUCs) in the narrow European endemic steppe plant Boleum asperum (Brassicaceae). Biol J Linn Soc 94:341–354
Porembski S, Barthlott W (1995) On the occurrence of a velamen radicum in Cyperaceae and Velloziaceae. Nordic J Bot 15:625–629
Pritchard JK, Stephens M, Donnelly P (2000) Inference of population structure using multilocus genotype data. Genetics 155:945–959
Ribeiro PL, Borba EL, Smidt EC, Lambert SM, Schnadelbach AS, van den Berg C (2008) Genetic and morphological variation in the Bulbophyllum exaltatum (Orchidaceae) complex occurring in the Brazilian “campos rupestres”: implications for taxonomy and biogeography. Pl Syst Evol 270:109–137
Sazima M (1978) Biologia floral de espécies de Velloziaceae na Serra do Cipó, Minas Gerais. PhD Thesis, Universidade de São Paulo
Segarra-Moragues JG, Catalán P (2010) The fewer and the better: priorization of populations for conservation under limited resources, a study with Borderea pyrenaica (Doscoreaceae) in the Pyrenean National Parl. Genetica 138:363–376
Silva RM, Fernandes GW, Lovato MB (2007) Genetic variation in two Chamaecrista species (Leguminosae), one endangered and narrowly distributed and another widespread in the Serra do Espinhaço, Brazil. Can J Bot 85:629–636
Slatkin M (1995) A measure of population subdivision based on microsatellite allele frequencies. Genetics 139:457–462
UNESCO (2005) MAB Biosphere reserves directory. http://www.brasilia.unesco.org/noticias/releases/2005/biosferaespinhaco. Accessed 19 Jan 2010
Vekemans X, Beauwens T, Lemaire M, Roldan-Ruiz I (2002) Data from amplified fragment length polymorphism (AFLP) markers show indication of size homoplasy and of a relationship between degree of homoplasy and fragment size. Mol Ecol 11:139–151
Yeh FC, Yang RC, Boyle TBJ (1999) POPGENE 1.32, the user-friendly shareware for population genetic analysis. http://www.ualberta.ca/~fyeh/popgene_download.html. Accessed 2010
Young A, Boyle T, Brown T (1996) The population genetic consequences of habitat fragmentation for plants. Trends Ecol Evol 11:413–418
Acknowledgments
We thank Jaqueline Serafim do Nascimento for the map in Fig. 1, Paulo Henrique D. Pessoa and Cassiana L. Pereira for permission to collect on their ranch and Cássio van den Berg for help in some analyses. This work was funded by projects from the Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) and the Fundação de Amparo à Pesquisa do Estado de Minas Gerais, Brazil. JML received a scholarship from CNPq. ELB and MBL are supported by a grant (PQ2) from CNPq.
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Lousada, J.M., Borba, E.L., Ribeiro, K.T. et al. Genetic structure and variability of the endemic and vulnerable Vellozia gigantea (Velloziaceae) associated with the landscape in the Espinhaço Range, in southeastern Brazil: implications for conservation. Genetica 139, 431–440 (2011). https://doi.org/10.1007/s10709-011-9561-5
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DOI: https://doi.org/10.1007/s10709-011-9561-5