SciELO - Scientific Electronic Library Online

vol.31 issue1Inclusion of genetic relationship information in the pedigree selection method using mixed modelsGenetic effects for maize traits in acid and non-acid soils author indexsubject indexarticles search
Home Pagealphabetic serial listing  

Services on Demand



  • English (pdf)
  • Article in xml format
  • How to cite this article
  • SciELO Analytics
  • Curriculum ScienTI
  • Automatic translation


Related links


Genetics and Molecular Biology

Print version ISSN 1415-4757On-line version ISSN 1678-4685

Genet. Mol. Biol. vol.31 no.1 São Paulo  2008 



Genetic diversity in section Rhizomatosae of the genus Arachis (Fabaceae) based on microsatellite markers



Carla M.L.C.D. AngeliciI; Andrea Akemi HoshinoI; Paula Macedo NóbileI; Dario Abel PalmieriI; José F. Montenegro VallsII; Marcos A. GimenesII; Catalina Romero LopesI

ILaboratório de Biotecnologia e Genética Molecular, Departamento de Genética, Instituto de Biociências, Universidade Estadual Paulista, Botucatu, SP, Brazil
IICentro Nacional de Pesquisa de Recursos Genéticos e Biotecnologia, Empresa Brasileira de Pesquisa Agropecuária, Parque Estação Biológica, Asa Norte, Brasília, DF, Brazil

Send correspondence to




The genus Arachis (Fabaceae) native to South America, contains 80 species divided into nine sections, three of which contain species of special economic importance such as the cultivated peanut (Arachis hypogaea), belonging to the section Arachis, and some perennial forage species from sections Caulorrhizae and Rhizomatosae. We used microsatellite markers to assay genetic variability among 77 accessions of four species from section Rhizomatosae, the diploid Arachis burkartii (2n = 2x = 20) and the tetraploid Arachis glabrata, Arachis pseudovillosa and Arachis nitida (2n = 4x = 40). A total of 249 alleles were found in the fifteen loci analyzed and a high degree of intra and interspecific polymorphism was detected. The lowest intraspecific variation occurred in Arachis burkartii, while the smallest estimated interspecific value was between A. nitida and A. pseudovillosa and the largest was between A. burkartii and A. nitida. High observed heterozygosity was detected in A. glabrata. The diploid accessions grouped in one cluster and the tetraploid accessions in another. It was possible to distinguish all 77 accessions and the genetic distance between accessions could not be correlated with geographic origin.

Key words: Arachis, genetic diversity, microsatellite, peanut, Rhizomatosae.




The genus Arachis (Fabaceae Alt. Leguminosae) contains 80 species, all native to South America, and is divided into nine sections (Krapovickas and Gregory, 1994; Valls and Simpson, 2005). This genus contains many species of economic importance, such as the cultivated peanut Arachis hypogaea L. in section Arachis and perennial forage species in sections Caulorrhizae and Rhizomatosae, the latter containing four species: the diploid Arachis burkartii Handro (2n = 2x = 20) and the tetraploid (2n = 4x = 40) Arachis glabrata Benth., Arachis nitida Valls & C.E. Simpson and Arachis pseudovillosa (Chodat & Hassl.) Krapov. & W.C. Greg. (Fernández and Krapovickas, 1994; Peñaloza and Valls, 2005).

The herbaceous perennial A. glabrata, commonly called the rhizoma peanut or perennial forage peanut, is a wild species from which several commercial tropical forage cultivars have been developed (Prine et al., 1981, 1986), including the Florigraze and Arbrook cultivars used in the USA as an alternative to alfalfa because they contain high levels of proteins and have high disease and pest resistance (French et al., 1994). In Australia, A. glabrata is valued as high quality forage with the ability to spread through swards of aggressive summer-growing grass species (Bowman et al., 1998). Furthermore, A. glabrata also shows multiple disease resistance and has been considered as a potential source of genes to genetic improvement of A. hypogaea (Mallikarjuna and Sastri, 2002). However, A. glabrata cultivars have a narrow genetic basis because they have been selected from a restricted number of available accessions (Prine, 1972; Cook and Crosthwaite, 1994). There are many A. glabrata accessions available in germplasm collections and the evaluation of this material could identify accessions with novel characteristics, such as growth at lower temperatures and in more humid soils, which may result in new cultivars (Prine and French, 1993).

Accessions of A. glabrata and all other section Rhizomatosae species have been maintained in germplasm banks in Brazil, Colombia, India and the USA, and their genetic variability has been evaluated using isozymes (Maass and Ocampo, 1995) and random amplification of polymorphic DNA (RAPD) analysis (Nóbile et al., 2004). Although these studies have shown high variability in rhizomatous species and accessions these molecular markers have produced no information on the mating system of the species because of the low polymorphism of isozymes and dominance effects in RAPD analysis. Furthermore, comparison between studies is difficult because isoenzyme and RAPD markers have medium to low reproducibility (Jones et al., 1997). Moreover, RAPD analysis is also sensitive to the reaction conditions and the possible co-migration of RAPD fragments with similar sizes but different sequences cannot be excluded (Tang et al., 2005).

Microsatellites or simple sequence repeats (SSR) are stretches of a short nucleotide sequence that can be repeated many times in tandem (Casacuberta et al., 2000). These molecular markers have been used for the characterization of genetic variability and analysis of the genetic relationships among plant species (Mörchen et al., 1996; Khlestkina et al., 2004). Microsatellite markers have several advantages: they are very abundant and thoroughly distributed in eukaryotic genomes (Tóth et al., 2000); microsatellite primer pairs can be used in related species (Katzir et al., 1996); and microsatellite markers provide a higher incidence of detectable polymorphisms than other molecular markers such as restriction fragment length polymorphism (RFLP) and RAPD markers (Powell et al., 1996).

The objective of the study described in this paper was to use microsatellite markers to evaluate the variability and genetic relationships between the four species of the section Rhizomatosae, paying particular attention to the forage species A. glabrata.


Materials and Methods

Plant material

We investigated 77 accessions from the four species in section Rhizomatosae the diploid Arachis burkartii (2n = 2x = 20) and the tetraploid (2n = 4x = 40) Arachis glabrata, Arachis nitida and Arachis pseudovillosa (Table 1), representing natural populations collected in Brazil (all four species) and Paraguay (A. glabrata and A. nitida). The accessions also include the commercial cultivars Arbrook, a direct release from the PI 262817 accession collected by W. C. Gregory, A. Krapovickas and J.R. Pietrarelli (GKP 9570) near Trinidad (Itapúa Department, Paraguay; the southernmost site sampled by us), and Florigraze, selected from a volunteer plot hybrid in the United States and having an old accession (PI 118457) collected in the Brazilian town of Campo Grande in 1936 by W. Archer as the probable female parent. All samples were made available by Embrapa Recursos Genéticos e Biotecnologia (Cenargen, Brasília, DF, Brazil) where plants have been maintained in pots and vegetatively propagated since no seed production has been observed in the greenhouse.

DNA extraction and amplification

For each accession, we extracted total DNA from the leaves of a single plant using the procedure described by Doyle and Doyle (1987) and the minor modifications given by Ferreira and Grattapaglia (1996).

The 15 microsatellite primer pairs used in this study (Table 2) were isolated from three different species from three Arachis sections: six from A. hypogaea (Ah) in section Arachis, five from Arachis pintoi (Ap) in section Caulorrhizae and four from A. glabrata (Ag) in section Rhizomatosae. The isolation and characterization of microsatellites Ap40 and Ap176 have been described by Palmieri et al. (2002) and Ap33 by Palmieri et al. (2005). Microsatellites Ah3, Ah7, Ah11, Ah21, Ah126 and Ah282 were isolated by Gimenes et al. (2007) while microsatellites Ap32, Ap38 Ag39, Ag151, Ag167 and Ag171 were described by Moretzsohn et al. (2005). For each plant, individual amplification was carried out in a reaction mixture containing 15 ng of total DNA, 0.3 mM of each primer, 0.375 mM of each dNTP, 0.5 units of Taq DNA polymerase (GE Healthcare, USA), 1 X amplification buffer and appropriate concentration of MgCl2 (1.5 mM for Ah3, Ah7, Ah21, Ah126, Ap176; 2.0 mM for Ap32, Ap33, Ap38, Ap40; and 2.5 mM for Ah11, Ag39 Ag151, Ag167, Ag171, Ah282) and made up to 10 µL with deionized water. All amplifications were performed in a PTC100 thermal cycler (MJ Research, United Kingdom). The amplification parameters used consisted of 5 min at 94 °C followed by 35 cycles of 30 s at 94 °C, 45 s at 50 °C, and 1 min at 72 °C. The PCR products were denatured by adding 7 µL of a loading buffer (95% formamide, 5% NaOH 0.2 M, 0.25% bromophenol blue) and heating for 5 min at 90 °C, separated on 4% (w/v) polyacrylamide denaturing gels at 30 W and 1100-1500 V for about 2.5 h and stained with silver according to a commercial protocol (Promega, Madison, USA).

Data analysis

For each sample the amplified fragments were scored as present or absent. A genetic distance matrix was generated using the Nei and Li Genetic Distance Coefficient (Nei and Li, 1979). Genetic relationships between the 77 accessions were viewed in a neighbor-joining tree (Saitou and Nei, 1987). All analyses were computed with the TREECON 1.3 software (Van der Peer and Watcher, 1994). The mean genetic distance coefficient for each species was estimated by calculating the mean genetic distance for each pairwise comparison in each species.



Band patterns formed by one, two, three and four fragments were observed in the samples. Patterns formed by one or two fragments were observed for A. burkartii and from one to four fragments in A. glabrata, A. nitida and A. pseudovillosa (data not shown). The number of fragments observed in the patterns was in line with the expected pattern for a locus in species with the corresponding ploidy levels. The data indicated that A. burkartii is diploid, with a maximum of two alleles, while the others are tetraploid with up to four putative alleles. Therefore, accessions presenting a single amplified fragment were considered homozygote while those presenting more than one fragment were considered heterozygote for the locus in question.

We detected 249 observed alleles (Ao) in the 15 loci amplified, of which three loci (20%) were monomorphic (Ap32, Ap33 and Ap38) for all the species while locus Ag167 was monomorphic only for A. burkartii and Ap176 for A. pseudovillosa only (Table 2). In the 12 polymorphic loci (Ag151, Ag167, Ag171, Ag39, Ah11, Ah126, Ah21, Ah282, Ah3, Ah7, Ap176 and Ap40) the observed number of alleles ranged from 10 for Ap176 to 26 for Ah21, with the mean number of observed alleles per locus being 20.5 while the overall mean observed heterozygosity per locus (Ho*) ranged from 0.2365 for Ap176 to 0.9420 for Ah126 (Table 2). The six primer pairs developed for A. hypogaea (section Arachis) detected polymorphism for all four species of section Rhizomatosae. Three of the five primer pairs developed for A. pintoi (section Caulorrhizae) detected only monomorphic loci in the species from section Rhizomatosae. We also found that the Ap40 locus was polymorphic in the four species studied, while locus Ap176 was polymorphic for A. glabrata, A. nitida and A. burkartii and monomorphic only for A. pseudovillosa. Three primer pairs (Ag39, Ag151 and Ag171) of the four pairs developed for A. glabrata were polymorphic for the other three species of section Rhizomatosae, and the Ag167 locus was monomorphic only for A. burkartii and polymorphic for the three tetraploid species (A. glabrata, A. nitida and A. pseudovillosa).

The number of observed alleles found in each species varied widely, with AD = 209 in A. glabrata, 109 in A. nitida, 72 in A. burkartii and 53 in A. pseudovillosa (Table 3). Furthermore, the number of specific alleles (As) for each species was also different between the species analyzed, with A. glabrata having 88 (88/209 = 42%), A. burkartii 25 (25/72 = 35%), A. nitida 10 (10/109 = 9%) and A. pseudovillosa only one (1/53 = 2%) (Table 3).

The general mean observed heterozygosity per species (Ho') for the polymorphic loci analyzed was highest (Ho' = 0.6947) for A. pseudovillosa and lowest (Ho' = 0.4444) for A. burkartii (Table 3). In addition, the mean number of putative alleles (Ap) per locus (Ap/AD) ranged from 4.81 for A. pseudovillosa to 15.92 for A. glabrata, while the percentage of different band patterns per total of accession analyzed (NBP/NA) ranged from 65.95% for A. glabrata to 89.00% for A. pseudovillosa (Table 3).

The mean genetic distances within accessions of each species and between the species were high (Table 4). Diploid A. burkartii showed the lowest intraspecific variation of all the species analyzed. The smallest estimated interspecific value (0.7106) was between A. nitida and A. pseudovillosa and the largest (0.8279) was between A. burkartii and A. nitida.



The band presence and absence data matrix was used to produce a dendrogram, which showed that no pair of accessions presented 100% similarity and that the accessions were distributed in two large clusters (Figure 1). One cluster was formed by the accessions of the diploid species A. burkartii while the accessions of the tetraploid species A. glabrata, A. nitida and A. pseudovillosa formed another cluster made up of two sub-clusters, the first, subdivided into several small clusters, consisted of 55 of the 58 A. glabrata accessions and the second contained the tetraploid species (A. nitida and A. pseudovillosa) and the three remaining A. glabrata accessions (Figure 1).



The relationship between the number of randomly sampled accessions from the A. glabrata and the number of alleles detected is presented in Figure 2. The number of alleles increased to 178 when 27 accessions were sampled and from then onwards the number of alleles tended to stabilize and about two alleles were added with each new accession.




All the accessions studied could be differentiated with the primer pairs used, indicating that microsatellite markers are highly polymorphic and discriminative in Arachis species of the section Rhizomatosae. These same characteristics of microsatellite primers have previously been detected in many plant species, including the apricot Prunus armeniaca L. (Hormaza, 2002), the tetraploid potato Solanum tuberosum L. (McGregor et al., 2000) and a wild and cultivated wheat collection (Medini et al., 2005). Furthermore, studies comparing molecular markers such as Amplified Fragment Length Polymorphisms (AFLP), RAPD, RFLP and microsatellites have already indicated that AFLP and microsatellite markers are highly reproducible within and between laboratories (Rafalski and Tingey, 1993; Cordeiro et al., 2000). Apart from reproducibility, we also found that a further advantage of the microsatellites used in our study was the cross-species transferability of these markers between Arachis species belonging to different sections (Arachis, Caulorrhizae and Rhizomatosae).

The high frequency of A. glabrata accessions with several heterozygous loci indicated that this is a characteristic commonly present in this species and is not due to any other factor, such as a long period of cultivation in greenhouses, outside the area of natural distribution. High heterozygosity is not an expected characteristic among Arachis species, since they are generally considered autogamous, although this is not necessarily the case for species in the least investigated taxonomic sections of this genus. For example, the rhizomatous species A. glabrata has some peculiarities, scattered wild populations occasionally produce seeds while only a small quantity of seed, if any, is sporadically found when this plant is cultivated in greenhouses and nurseries (Valls, 1996), making vegetative propagation by cuttings the normal method of artificial multiplication of this species. The absence of seeds in plants maintained in germplasm banks may be related to incompatibility systems (Cook and Crosthwaite, 1994; French et al., 1994), since A. glabrata pollen viability appears to be high and is not in itself seen to be an obstacle to seed production (Niles and Quesenberry, 1992). It thus appears that there is a high frequency of cross-pollination in the original area of A. glabrata distribution, resulting in high heterozygosity among A. glabrata accessions which is retained during vegetative propagation.

We found that the tetraploid species of section Rhizomatosae presented higher heterozygosity levels than the diploid species A. burkartii. However, this was not observed when the same species were assessed using RAPD markers (Nóbile et al., 2004), this difference between studies probably being due to the greater ability of microsatellite markers to detect polymorphism and amplified polymorphic loci in tetraploid species which appeared null when assessed with RAPD markers.

The genetic distance estimates calculated by us were high (Table 4), indicating a large amount of genetic variability in section Rhizomatosae species, as expected in wild Arachis species. High variability has also been detected in the germplasm of wild Arachis species in other studies using isozyme (Maass and Ocampo, 1995), RAPD (Nóbile et al., 2004), RFLP (Gimenes et al., 2002) and microsatellite (Moretzsohn et al., 2004; Hoshino et al., 2006; Gimenes et al., 2007) markers. The high genetic variability which we found in A. glabrata supports the work by Maass and Ocampo (1995), who analyzed four isoenzyme systems (alpha-esterase, acid phosphatase, glutamate oxaloacetate transaminase and diaphorase) in 12 A. glabrata accessions from the International Tropical Agriculture Center germplasm bank (CIAT, Colombia). In addition, Nóbile et al. (2004) used RAPD markers to assess 57 A. glabrata accessions, 11 A. burkartii accessions, 11 A. nitida accessions and 1 A. pseudovillosa accession from the CENARGEN Arachis Germplasm Bank and also detected high variability in the species.

In our study, it is interesting to note that the number of general and specific alleles detected were similar to the number of accessions analyzed of each of the four rhizomatous species, reflecting not only the different extent of the geographic distribution of the different species but also the fact that not only is A. glabrata germplasm preferentially collected because it is a potential forage but it has a much greater ability to survive for many years under greenhouse or nursery conditions than the other three section Rhizomatosae species.

As in the study of the genetic integrity of the Gatersleben Triticum aestivum L. germplasm bank by Börner et al. (2000), we found that the accessions of the species already represented in the CENARGEN Arachis germplasm bank and the new accessions collected may be efficiently monitored by microsatellite markers for the maintenance and preservation of the genetic variability of this material.

Our study showed that the species investigated shared 124 (50.2%) alleles, a relatively large number. Differentiation between the species is, therefore, due not only to the specific alleles but also to the differences in the frequencies of the shared alleles in each species (Table 3). This was the case for A. pseudovillosa and A. nitida, which presented a very small number of specific alleles (Table 3). In the dendrogram (Figure 1) the first cluster contains tetraploid species which were separated from the diploid species in the second cluster, confirming the results of RAPD analysis (Nóbile et al., 2004). The larger subcluster formed in the first cluster included 55 accessions that belong exclusively to A. glabrata while the second smaller subcluster did not distinguish the species perfectly. Although A. nitida was clearly separated from the other accessions, the A. pseudovillosa and A. glabrata accessions in this subcluster did not separate perfectly. These results support those of Krapovickas and Gregory (1994), who reported natural hybrids of these two species, and the results of the RAPD analysis carried out by Nóbile et al. (2004). Valls (1996) pointed out that no hybrid exists between the diploid and tetraploid species of section Rhizomatosae, which seems to indicate that different genomes are present in the tetraploid and diploid species (Stalker and Moss, 1987). However, many of the accessions used in these crossing attempts were not good seed producers, and unsuccessful hybridization may have other causes that do not involve genetic or genomic incompatibility (Valls, 1996).

As Figure 2 shows, A. glabrata harbors a large number of alleles and the allele content in a random sample can be monitored using microsatellites loci that would help the formation of a core collection of this species. However, it is necessary to point out that, although extensive, the present sampling did not include representatives of wild populations from Argentina (A. burkartii and A. glabrata), Uruguay (A. burkartii), and southern Paraguay (A. glabrata, except for the 'Arbrook' cultivar). Southern Paraguay and the adjacent Province of Corrientes in Argentina harbor the morphologically distinct A. glabrata var. hagenbeckii, with narrow leaflets, in sympatry with local types of A. glabrata var. glabrata (Krapovickas and Gregory, 1994). Much more scarce, A. pseudovillosa occurs also in the Department of Amambay, Paraguay, near the Brazilian border, but only a few Brazilian accessions are available and this species is poorly represented in gene banks. Further efforts to cover such gaps in our knowledge of the genetic diversity of section Rhizomatosae using the microsatellite primers described in the present paper are obviously needed.

In conclusion, the microsatellite markers used allowed us to distinguish the species and accessions of section Rhizomatosae, detected high variation among accessions and can be very useful for monitoring the genetic variability in germplasm banks when establishing core collections.



We thank the Brazilian agencies FAPESP for financial support and CNPq for a fellowship to CMLCDA and JFMV.



Börner A, Chebotar S and Korzun V (2000) Molecular characterization of the genetic integrity of wheat (Triticum aestivum L.) germplasm after long-term maintenance Theor Appl Genet 100:494-497.        [ Links ]

Bowman AM, Wilson GPM and Gogel BJ (1998) Evaluation of perennial peanuts (Arachis spp.) as forage on the New South Wales north coast. Trop Grasslands 32:252-258.        [ Links ]

Casacuberta E, Puigdomènech P and Monfort A (2000) Distribution of microsatellites in relation to coding sequences within the Arabidopsis thaliana genome. Plant Sci 157:97-104.        [ Links ]

Cook BG and Crosthwaite IC (1994) Utilization of Arachis species as forage. In: Smartt J (ed) The Groudnut Crop: A Basis for Scientific Improvement. Chapman & Hall, London, pp 624-657.        [ Links ]

Cordeiro GM, Taylor GO and Heny RJ (2000) Characterisation of microsatellite markers from sugarcane (Saccharum sp.), a highly polyploid species. Plant Sci 155:161-168.        [ Links ]

Doyle JJ and Doyle JL (1987) Isolation of plant DNA from fresh tissue. Focus 12:13-15.        [ Links ]

Fernández A and Krapovickas A (1994) Cromosomas y evolución em Arachis (Leguminosae). Bonplandia 8:187-220.        [ Links ]

Ferreira ME and Grattapaglia D (1996) Introdução ao Uso de Marcadores Moleculares em Análise Genética. Embrapa, Brasília, 220 pp.        [ Links ]

French EC, Prine GM, Ocumpaugh WR and Rice RW (1994) Regional experience with forage in the USA. In: Kerridge PC and Hardy B (eds) Biology and Agronomy of Forage Arachis. CIAT, Cali, pp 169-186.        [ Links ]

Gimenes MA, Lopes CR, Galgaro ML, Valls JFM and Kochert G (2002) RFLP analysis of genetic variation in species of section Arachis, genus Arachis (Leguminosae). Euphytica 123:421-429.        [ Links ]

Gimenes MA, Hoshino AA, Barbosa AVG, Palmieri DA and Lopes CR (2007) Characterization and transferability of microsatellite markers of the cultivated peanut (Arachis hypogaea). BMC Plant Biol 7:9.        [ Links ]

Hormaza JI (2002) Molecular characterization and similarity relationships among apricot (Prunus armeniaca L.) genotypes using simple sequence repeats. Theor Appl Genet 104:321-328.        [ Links ]

Hoshino AA, Bravo JP, Angelici CMLCD, Barbosa AVG, Lopes CR and Gimenes MA (2006) Heterologous microsatellite primer pairs informative for the whole genus Arachis. Genet Mol Biol 29:665-675.        [ Links ]

Jones CJ, Edwards KJ, Castaglione S, Winfield MO, Sala F, Vandewiel C, Bredemeijer G, Vosman B, Matthes M, Daly A et al. (1997) Reproducibility testing of RAPD, AFLP and SSR markers in plant by a network of European laboratories. Mol Breeding 3:381-390.        [ Links ]

Katzir N, Danin-Poleg Y, Tzuri G, Karchi Z, Lavi U and Cregan PB (1996) Length polymorphism and homologies of microsatellites in several Cucurbitaceae species. Theor Appl Genet 93:1282-1290.        [ Links ]

Khlestkina EK, Röder MS, Efremova TT, Börner A and Shumny VK (2004) The genetic diversity of old and modern Siberian varieties of common spring wheat as determined microsatellite markers. Plant Breed 123:122-127.        [ Links ]

Krapovickas A and Gregory WC (1994) Taxonomía del género Arachis (Leguminosae). Bonplandia 8:1-186.        [ Links ]

Maass BL and Ocampo CH (1995) Isozyme polymorphism provides fingerprints for germoplasm of Arachis glabrata Bentham. Genet Resour Crop Ev 42:77-82.        [ Links ]

Mallikarjuna N and Sastri DC (2002) Morphological, cytological and disease resistance studies of the intersectional hybrid between Arachis hypogaea L. and A. glabrata Benth. Euphytica 126:161-167.        [ Links ]

McGregor CE, Lambert CA, Greyling MM, Louw JH and Warnich L (2000) A comparative assesment of DNA fingerprinting techniques (RAPD, ISSR, AFLP and SSR) in tetraploid potato (Solanum tuberosum L.) germplasm. Euphytica 113:135-144.        [ Links ]

Medini M, Hamza S, Rebai A and Baum M (2005) Analysis of genetic diversity in Tunisian durum wheat cultivars and related wild species by SSR and AFLP markers. Genet Resour Crop Ev 52:21-31.        [ Links ]

Moretzsohn MC, Hopkins MS, Mitchell SE, Kresovich S, Valls JFM and Ferreira ME (2004) Genetic diversity of peanut (Arachis hypogaea L.) and its wild relatives based on the analysis of hypervariable regions of the genome. BMC Plant Biol 4:11.        [ Links ]

Moretzsohn MC, Leoi L, Proite K, Guimarães PM, Leal-Bertioli SCM, Gimenes MA, Martins WS, Valls JFM, Grattapaglia D and Bertioli DJ (2005) A microsatellite-based, gene-rich linkage map for the AA genome of Arachis (Fabaceae). Theor Appl Genet 111:1060-1071.        [ Links ]

Mörchen M, Cuguen J, Michaelis G, Hanni C and Saumitou-Laprade P (1996) Abundance and length polymorphism of microsatellite repeats in Beta vulgaris L. Theor Appl Genet 92:326-333.        [ Links ]

Nei M and Li WH (1979) Mathematical model for studying genetic variation in terms of restriction endonucleases. Proc Natl Acad Sci USA 76:5269-5273.        [ Links ]

Niles WL and Quesenberry KH (1992) Pollen germination of Rhizoma peanut cv. Florigraze. Peanut Sci 19:105-110.        [ Links ]

Nóbile PM, Gimenes MA, Valls JFM and Lopes CR (2004) Genetic variation within and among species of genus Arachis, section Rhizomatosae. Genet Resour Crop Ev 51:299-307.        [ Links ]

Palmieri DA, Hoshino AA, Bravo JP, Lopes CR and Gimenes MA (2002) Isolation and characterization of microsatellite loci from the forage species Arachis pintoi (Genus Arachis). Mol Ecol Notes 2:551-553.        [ Links ]

Palmieri DA, Bechara MD, Curi RA, Gimenes MA and Lopes CR (2005) Novel polymorphic microsatellite markers in section Caulorrhizae (Arachis, Fabaceae). Mol Ecol Notes 5:77-79.        [ Links ]

Peñaloza APS and Valls JFM (2005) Chromosome number and satellited chromosome morphology of eleven species of Arachis (Leguminosae). Bonplandia 14:65-72.        [ Links ]

Powell W, Morgante M, Andre C, Hanafey M, Vogel J, Tingey S and Rafalski A (1996) The comparation of RFLP, RAPD, AFLP and SSR (microsatellite) markers for germplasm analysis. Mol Breeding 2:225-238.        [ Links ]

Prine GM (1972) Perennial peanuts for forage. Soil Crop Sci Soc Fl 32:33-35.        [ Links ]

Prine GM, Dunavin LS, Moore JE and Roush RD (1981) 'Florigraze' rhizoma peanut: A perennial forage legume. Circular S275, Agriculture Experimental Station, Gainesville.        [ Links ]

Prine GM, Dunavin LS, Glennon RJ and Roush RD (1986) Arbrook rhizoma peanut, a perennial forage legume. Circular S-332, Agriculture Experimental Station, Gainesville.        [ Links ]

Prine GM and French EC (1993) Development of rhizoma peanut for forage in Lower South, USA. In: Mir Hosseini Dehabadi SR, Kemp PD, Barker DJ and Hodgson J (eds) Proceedings of the XVII International Grassland Congress, Palmerston North, pp 2133-2134.        [ Links ]

Rafalski JA and Tingey SV (1993) Genetic diagnostics in plant breeding - RAPDs, microsatellites and machines. Trends Genet 9:275-280.        [ Links ]

Saitou N and Nei M (1987) The neighbor - joining method: A new method for reconstructing phylogenetic trees. Mol Biol Evol 4:406-425.        [ Links ]

Stalker HT and Moss JP (1987) Speciation, cytogenetics, and utilization of Arachis species. Adv Agron 41:1-40.        [ Links ]

Tang S, Popongviwat A, Klinbunga S, Tassanakajon A, Jarayabhand P and Menasveta P (2005) Genetic heterogeneity of the tropical abalone (Haliotis asinina) revealed by RAPD and microsatellite analyses. J Biochem Mol Biol 38:182-190.        [ Links ]

Tóth G, Gáspari Z and Jurka J (2000) Microsatellites in different eukaryotic genomes: Survey and analysis. Genome Res 10:967-981.        [ Links ]

Valls JFM (1996) Variability in genus Arachis and potential forage uses. In: Springer TL and Pittman RN (eds) Identifying Germplasm for Successful Forage Legume-Grass Interactions. Proceedings of the Symposium of the Crop Science Society of America. American Society Agronomy, Seattle, pp 15-27.        [ Links ]

Valls JFM and Simpson CE (2005) New species of Arachis L. (Leguminosae) from Brazil, Paraguay and Bolivia. Bonplandia 14:35-64.        [ Links ]

Van der Peer Y and Watcher RD (1994) TREECON for Windows: A software package for the construction and drawing of evolutionary trees for the Microsoft Windows environment. Comput Appl Biosci 10:569-570.        [ Links ]



Send correspondence to:
Andrea Akemi Hoshino.
Laboratório de Biotecnologia e Genética Molecular, Departamento de Genética, Instituto de Biologia,
Universidade Estadual Paulista,
Distrito de Rubião Jr.,
18618-000 Botucatu, SP, Brazil.

Received: February 6, 2007; Accepted: May 17, 2007.



Associate Editor: Everaldo Gonçalves de Barros

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