The adaptability of wheat alloplasmic lines during hybridization

The adaptability of alloplasmic wheat lines and their hybrids with a wheat-allogenic amphiploid and wheat was studied. The influence of the nuclear genome and the interaction of nuclear and cytoplasm genomes on the adaptability of wheat and its hybrids has been established. For an assessment of adaptability, it is necessary to use a complex of attributes (morphological, cytogenetic, and resistance to abiotic and biotic factors of the environment).     

Analysis of chloroplast differences in leaves of rice isonuclear alloplasmic lines

The chloroplast being an important organelle of plant cells could possibly be associated with plant cytoplasmic male sterility (CMS). To better understand the correlation between (CMS) and chloroplast, we presented a comprehensive analysis based on the changes of photosynthetic parameters, chloroplasts ultrastructure, soluble sugar and starch content, the relative expression of sugar and starch metabolism genes, and chloroplast genome in rice isonuclear alloplasmic CMS lines at the flowering stage. Leaf gas exchange parameters did not affect by CMS lines (M2BS and M2A), although intercellular CO₂ concentration (C _i) was influenced in both M2BS and M2A. Ultrastructural observation results indicated that many starch granules were observed in the chloroplast of CMS lines, especially bigger size in M2BS, while few ones in M2B. Only the chloroplasts of M2A contained some additional number of lipoids compared with those of the other two lines (M2B and M2BS). Soluble sugar and starch contents in CMS lines (M2BS and M2A) were significantly higher than those in maintainer line (M2B) (p?<?0.01). The relative expression of sugar and starch metabolism genes indicated the imbalance of starch and sugar synthesis and decomposition may lead to accumulation of starch granules and demonstrated the presence of cytoplasmic effects. Moreover, chloroplast genome sequencing results showed similarity in both CMS lines, which revealed different single nucleotide polymorphisms (SNPs) and insertion/deletion (InDels) models compared with their maintainer line. Those models were located in psbD, rpoC2, rpl33, psbB, ndhA, ndhH, and intergenic regions. These findings, aligned with the possible association of CMS characteristics with cpDNA and genetically close relationship among both CMS lines, may contribute for future research.     

Genetic variability in local Brazilian horse lines using microsatellite markers

Genetic variability at 11 microsatellite markers was analyzed in five naturalized/local Brazilian horse breeds or genetic groups. Blood samples were collected from 328 animals of the breeds Campeira (Santa Catarina State), Lavradeira (Roraima State), Pantaneira (Pantanal Mato-Grossense), Mangalarga Marchador (Minas Gerais State), as well as the genetic group Baixadeiro (Maranh?o State), and the exotic breeds English Thoroughbred and Arab. We found significant genetic variability within evaluated microsatellite loci, with observed heterozygosis varying between 0.426 and 0.768 and polymorphism information content values of 0.751 to 0.914. All breeds showed high inbreeding coefficients and were not in Hardy-Weinberg equilibrium. The smallest genetic distance was seen between the Pantaneira and Arab breeds. The principal component analyzes and Bayesian approach demonstrated that the exotic breeds have had a significant influence on the genetic formation of the local breeds, with introgression of English Throroughbred in Pantaneira and Lavradeira, as well as genetic proximity between the Arab, Pantaneira and Mangalarga Marchador populations. This study shows the need to conserve traits acquired by naturalized horse breeds over centuries of natural selection in Brazil due to the genetic uniqueness of each group, suggesting a reduced gene flow between them. These results reinforce the need to include these herds in animal genetic resource conservation programs to maximize the genetic variability and conserve useful allele combinations.     

Analysis of tetraploid Elymus species using wheat microsatellite markers and RAPD markers.

An analysis of Amplification fragment polymorphism of DNA from 27 accessions of 19 tetraploid Elymus species was carried out using 18 wheat microsatellite (WMS) primer pairs and 10 decamer primers. Ten WMS primer pairs produced multiple polymorphism on all accessions tested. Two independent phenograms, one based on WMS-PCR and one on RAPDs, separated the 19 tetraploid species into two main groups, viz., the SH genome species group and the SY genome species group. The results coincide with the genomic classification of these species and hence support previous studies showing that Elymus is not a monophyletic genus. The assays indicated that accessions within a species cluster together, which concurs with the morphological classification. Interspecific and intraspecific polymorphisms were detected by the WMS-PCR and RAPD analyses. Variation was observed among accessions of Elymus caninus. The WMS-PCR detected a much higher level of polymorphism than the RAPD analysis. WMSs seem to be more efficient markers than RAPD markers for studying the population diversity of Elymus species. The potential of cross-species amplification of microsatellite markers as an additional source for genetic analysis and applications in Elymus is discussed in the context of these results.     

Analysis of cytoplasmic variation in a cucumber germplasm collection using chloroplast microsatellite markers

Nine PCR-based markers were developed from the microsatellites in non-coding regions of chloroplast genome of Cucumis sativus and used to detect chloroplast DNA variation. These markers successfully detected intraspecific polymorphism among 37 cucumber accessions containing Chinese native germplasms (CNGs) and non-Chinese germplasms (NCGs). Each marker detected between two and four alleles and the diversity value of the makers ranged from 0.105 to 0.528. Based on the data from allele size variation, a total of 17 distinct haplotypes were identified from the 35 accessions (excluding the two accessions possessing null genes). Three haplotypes were prevalent among CNGs but most NCGs had unique haplotype. No identical haplotype was found between CNGs and NCGs, reflecting lack of exchange of CNGs with others in the 60–80s of last century. A wild species (C. hystrix Chakr.) tested herein shared a haplotype with some CNGs, suggesting that it could be the ancestry of C. sativus or at least had a common ancestral lineage. The genetic relationship among the 37 cucumber accessions was further analyzed through construction of dendrogram based on Jaccard coefficient of similarity obtained from the allele sizes. All the CNGs were clustered into a group (containing the wild accession) that distinctly differed from the other four groups containing NCGs. This result agreed with the findings above obtained from haplotype analysis. Our research documented here will offer useful information for cucumber breeding.     

Detection of genetic diversity in closely related bread wheat using microsatellite markers

Wheat microsatellites (WMS) were used to estimate the extent of genetic diversity among 40 wheat cultivars and lines, including mainly European elite material. The 23 WMS used were located on 15 different chromosomes, and revealed a total of 142 alleles. The number of alleles ranged from 3 to 16, with an average of 6.2 alleles per WMS. The average dinucleotide repeat number ranged from 13 to 41. The correlation coefficient between the number of alleles and the average number of repeats was only slight (r _s = 0.55). Based on percentage difference a dendrogram is presented, calculated by the WMS-derived data. All but two of the wheat cultivars and lines could be distinguished. Some of the resulting groups are strongly related to the pedigrees of the appropriate cultivars. Values for co-ancestry (f) of 179 pairs of cultivars related by their pedigrees (f0.1) averaged 0.29. Genetic similarity (GS) based on WMS of the same pairs averaged 0.44. The rank correlation for these pairs was slight, with r _s = 0.55, but highly significant (P<0.001). The results suggest that a relatively small number of microsatellites can be used for the estimation of genetic diversity and cultivar identification in elite material of hexaploid bread wheat.     

Molecular analysis of the triticale lines with different Vrn gene systems using microsatellite markers and hybridization in situ

Hexaploid triticale (x Triticosecale Wittmack) lines were examined using molecular markers and the hybridization in situ technique. Triticale lines were generated based on wheat varieties differing by the Vrn gene systems and the earing times. Molecular analysis was performed using Xgwm and Xrms microsatellite markers with the known chromosomal localization in the common wheat Triticum aestivum, and rye Secale cereale genomes. Comparative molecular analysis of triticale lines and their parental forms showed that all lines contained A and B genomes of common wheat and also rye homeologous chromosomes. In the three lines the presence of D genome markers, mapped to the chromosomes 2D and 7D, was demonstrated. This was probably the consequence of the translocations of homeologous chromosomes from wheat genomes, which took part during the process of triticale formation. The data obtained by use of genomic in situ hybridization supported the data of molecular genetic analysis. In none of the lines wheat--rye translocations or recombinations were observed. These findings suggest that the change of the period between the seedling appearance and earing time in triticale lines compared to the initial wheat lines, resulted from the inhibitory effect of rye genome on wheat vernalization genes.     

Complex population genetic structure in the endemic Canary Island pine revealed using chloroplast microsatellite markers

The Canary archipelago, located on the northwestern Atlantic coast of Africa, is comprised of seven islands aligned from east to west, plus seven minor islets. All the islands were formed by volcanic eruptions and their geological history is well documented providing a historical framework to study colonization events. The Canary Island pine (Pinus canariensis C. Sm.), nowadays restricted to the westernmost Canary Islands (Gran Canaria, Tenerife, La Gomera, La Palma and El Hierro), is considered an old (Lower Cretaceous) relic from an ancient Mediterranean evolutionary centre. Twenty seven chloroplast haplotypes were found in Canary Island pine but only one of them was common to all populations. The distribution of haplotypic variation in P. canariensis suggested the colonization of western Canary Islands from a single continental source located close to the Mediterranean Basin. Present-day populations of Canary Island pine retain levels of genetic diversity equivalent to those found in Mediterranean continental pine species, Pinus pinaster and Pinus halepensis. A hierarchical analysis of variance (AMOVA) showed high differentiation among populations within islands (approximately 19%) but no differentiation among islands. Simple differentiation models such as isolation by distance or stepping-stone colonization from older to younger islands were rejected based on product-moment correlations between pairwise genetic distances and both geographic distances and population-age divergences. However, the distribution of cpSSR diversity within the islands of Tenerife and Gran Canaria pointed towards the importance of the role played by regional Pliocene and Quaternary volcanic activity and long-distance gene flow in shaping the population genetic structure of the Canary Island pine. Therefore, conservation strategies at the population level are strongly recommended for this species.Communicated by D.B. NealeA. Gómez and S.C. González-Martínez as joint authors     

Phylogenetic analysis of Nymphaeales using fast-evolving and noncoding chloroplast markers

The Nymphaeales (water-lilies and relatives) represent one of the earliest branching lineages of angiosperms and comprise about 70 aquatic species. Here, we present a comprehensive study of phylogenetic relationships within the Nymphaeales from a dataset containing 24 representatives of the order, including all currently recognized genera and all subgenera of the genus Nymphaea , plus 5 outgroup taxa. Nine different regions of the chloroplast genome − comprising spacers, group II introns, a group I intron, and a protein coding gene − were analysed. This resulted in a character matrix of 6597 positions and an additional 369 characters obtained from coded length mutations. Maximum parsimony and Bayesian analyses of the complete dataset yielded congruent, fully resolved and well-supported trees. Our data confirm the monophyly of the Cabombaceae but do not provide convincing support for the monophyly of Nymphaeaceae with respect to Nuphar . Moreover, the genus Nymphaea is inferred to be paraphyletic with respect to Ondinea , Victoria and Euryale . In fact, the Australian endemic Ondinea forms a highly supported clade with members of the Australian Nymphaea subgenus Anecphya . In addition, Victoria and Euryale are inferred to be closely related to a clade comprising all night-blooming water-lilies ( Nymphaea subgenera Hydrocallis and Lotos ). An experimental approach showed taxon sampling to be of influence on the nodes reconstructed in core Nymphaeaceae. The results underscore that more diverse genera, if not clearly known to be monophyletic, should be represented by all major lineages.  © 2007 The Linnean Society of London, Botanical Journal of the Linnean Society , 2007, 154 , 141–163.     

Development and characterization of chloroplast microsatellite markers in Macaranga (Euphorbiaceae).

As part of our study on the phylogeography of the ant-plant genus Macaranga, we have screened for polymorphic regions in the chloroplast genome. Initially, ten universal PCR primer pairs targeted at chloroplast microsatellite loci were applied to a small set of specimens, covering various taxonomic levels from intrafamilial to intraspecific. Eight primer pairs produced PCR fragments that behaved as single and discrete bands on agarose gels. The five most promising candidate pairs were further analysed with an extended set of DNA templates, and PCR products were separated on sequencing gels. The number of size variants per locus varied from two to eight, combining into 17 haplotypes among 29 Macaranga accessions from 10 species. Comparative sequencing demonstrated that microsatellites were responsible for the observed size variation at three of five loci, whereas variation at the other loci was caused by larger insertions and (or) deletions (indels). In addition to poly(A) and poly(T) repeats, which are typically found in chloroplast DNA, we also identified a variable (CT)n repeat, with n = 4 to n = 8. Sequencing revealed three examples of size homoplasy, one of which was caused by a single base substitution that raised the actual number of haplotypes to 18. Relationships between haplotypes were assessed by phenetic analyses of size variants and by constructing a parsimony network based on sequence variation. For both types of analysis, the distribution of haplotypes correlated with geographically circumscribed regions rather than with taxonomic boundaries.     

Genetic analysis of scab resistance QTL in wheat with microsatellite and AFLP markers.

Three chromosomal regions associated with scab resistance were detected in a common cultivar, Ning7840, by microsatellite and AFLP analysis. Six microsatellites on chromosome 3BS, Xgwm389, Xgwm533, Xbarc147, Xgwm493, Xbarc102, and Xbarc131, were integrated into an amplified fragment length polymorphism (AFLP) linkage group containing a major quantitative trait locus (QTL) for scab resistance in a mapping population of 133 recombinant inbred lines (RILs) derived from 'Ning7840' x 'Clark'. Based on single-factor analysis of variance of scab infection data from four experiments, Xgwm533 and Xbarc147 were the two microsatellite markers most tightly associated with the major scab resistance QTL. Interval analysis based on the integrated map of AFLP and microsatellite markers showed that the major QTL was located in a chromosome region about 8 cM in length around Xgwm533 and Xbarc147. Based on mapping of six microsatellite markers on eight 3BS deletion lines, the major QTL was located distal to breakage point 3BS-8. In total, 18 microsatellites were physically located on different subarm regions on 3BS. Two microsatellites, Xgwm120 and Xgwm614, were significantly associated with QTL for scab resistance on chromosome 2BL and 2AS, respectively. The resistance alleles on 3BS, 2BL, and 2AS were all derived from 'Ning7840'. Significant interaction between the major QTL on 3BS and the QTL on 2BL was detected based on microsatellite markers linked to them. Using these microsatellite markers would facilitate marker-assisted selection to improve scab resistance in wheat.     

Application of EST-derived microsatellite markers for analysis of genetic variation in tall fescue and its comparison with morphological markers

Analysis of genetic diversity in germplasm collections is an important component of crop improvement programs. This study was conducted to analyze genetic variation and to classify tall fescue genotypes based on phenotypic evaluation and EST-SSR molecular markers. Twenty-five genotypes were assessed based on phenotypic and 42 EST-SSR molecular markers according to a completely randomized block design with three replications during eight years (2007–2014). Results indicated that the effect of year, genotype and their interaction were significant for all of the measured traits. Both morphological and molecular assessments showed considerable genetic variation among genotypes. The estimates of broad-sense heritability (h²_b) were moderate to high (h²_b = 42.1–78.4) for the traits studied. Based on EST-SRR analysis, a total number of 229 alleles were detected with an average of 4.58 alleles per marker. Average PIC value was 0.49 with a range of 0.014 for NFA140 to 0.95 for NFA047. Phenotypic evaluations and EST-SSR molecular marker classified genotypes into 3 and 7 clusters, respectively which mainly supported geographical origins. The general correspondence was observed between morphological and molecular classification. Therefore, combining the molecular markers with morphological responses could be more beneficial to describe genetic variation and distinguish superior genotypes for future breeding programs.     

Genetic diversity in Indian cucumber based on microsatellite and morphological markers

Genetic variation among 44 cucumber accessions was assessed using morphological and SSR markers. High genetic variability was observed for days to 50% female flowering (37–46 days from sowing), number of fruits per plant (1.4–6.0), individual fruit weight (0.04–0.552 kg) and root length (14.25–32.8 cm). The pair-wise Jaccard similarity coefficient ranged between 0.25 and 0.85 indicating that the accessions represent genetically diverse populations. The allelic diversity of polymorphic markers ranged from 0.001 to 0.9396 with an average of 0.31 based on polymorphic information content. The clustering pattern of SSR markers was not in consonance with the groupings based on quantitative traits. The accession of Indian state i.e.; Madhya Pradesh and Uttar Pradesh were diverged from the accessions of other parts of India. The study provides information for future exploration and collection of cucumber germplasm in India and utilization of diverse germplasm for developing cultivars/hybrids for specific traits.     

Demarcation of informative chromosomes in tropical sweet corn inbred lines using microsatellite DNA markers

A study of genetic variation among 10 pairs of chromosomes extracted from 13 tropical sweet corn inbred lines, using 99 microsatellite markers, revealed a wide range of genetic diversity. Allelic richness and the number of effective alleles per chromosome ranged from 2.78 to 4.33 and 1.96 to 3.47, respectively, with respective mean values of 3.62 and 2.73. According to the Shannon’s information index (I) and Nei’s gene diversity coefficient (Nei), Chromosome 10 was the most informative chromosome (I = 1.311 and Nei = 0.703), while Chromosome 2 possessed the least (I = 0.762 and Nei = 0.456). Based on linkage disequilibrium (LD) measurements for loci less than 50 cM apart on the same chromosome, all loci on Chromosomes 1, 6 and 7 were in equilibrium. Even so, there was a high proportion of genetic variation in Chromosomes 4, 5, 8, 9 and 10, thereby revealing their appropriateness for use in the genetic diversity investigations among tropical sweet corn lines. Chromosome 4, with the highest number of loci in linkage disequilibrium, was considered the best for marker-phenotype association and QTL mapping, followed by Chromosomes 5, 8, 9 and 10.     

Search for microsatellite markers associated with water-stress tolerance in wheat through bulked segregant analysis

We used bulked segregant analysis (BSA) to identify microsatellite markers associated with water-stress tolerance in wheat. Two DNA pools (tolerant and sensitive) were established from the selected F₂ individuals of crosses between water-stress-tolerant and -sensitive wheat parental genotypes on the basis of the paraquat (PQ) tolerance, leaf size, and relative water content. All three traits were previously shown to be associated with water-stress tolerance on segregating F₂ progeny of the wheat crosses used in this study. Microsatellite analysis was then performed on the established DNA pools, using 35 primer pairs that included all of the chromosome group 5 (5A, 5B, 5D) markers, to detect microsatellite fragments that were present, absent, or both in the DNA pools and their parental lines. We identified one microsatellite fragment that was present in tolerant parent wheat and the tolerant bulk but absent in the sensitive parent wheat and sensitive bulk. We then followed the segregation of this marker in the tolerant F₂ individuals. Use of this marker may significantly enhance the success of selection for PQ- and water-stress-tolerant genotypes in wheat breeding programs.     

Genetic relationships among wheat genotypes, as revealed by microsatellite markers and pedigree analysis

Genetic relationships among 20 elite wheat genotypes were studied using microsatellite markers and pedigree analysis. A total of 93 polymorphic bands were obtained with 25 microsatellite primer pairs. Coefficient of parentage (COP) values were calculated using parentage information at the expansion level of 5. The pedigree-based similarity (mean 0.115, range 0.00-0.53) was lower than the similarity assessed using microsatellite markers (mean 0.70, range 0.47-0.91). Similarity estimates were used to construct dendrograms by using the unweighted pair-group method with arithmetic averages (UPGMA). Clustering of genotypes in respect of marker-based similarity revealed two groups. Genotype PBW442 diverged and appeared as distinct from all other genotypes in both marker-based and pedigree-based analysis. The correlation of COP values with genetic similarity values based on microsatellite markers is low (r = 0.285, p < 0.05). The results indicate a need to develop wheat varieties with a diverse genetic background and to incorporate new variability into the existing wheat gene pool.     

Isolation of microsatellite and RAPD markers flanking the Yr15 gene of wheat using NILs and bulked segregant analysis.

Microsatellite and random amplified polymorphic DNA (RAPD) primers were used to identify molecular markers linked to the Yr15 gene which confer resistance to stripe rust (Puccina striiformis Westend) in wheat. By using near isogenic lines (NILs) for the Yr15 gene and a F2 mapping population derived from crosses of these lines and phenotyped for resistance, we identified one microsatellite marker (GWM33) and one RAPD marker (OPA19(800)) linked to Yr15. Then, bulked segregant analysis was used in addition to the NILs to identify RAPD markers linked to the target gene. Using this approach, two RAPD markers linked to Yr15 were identified, one in coupling (UBC199(700)) and one in repulsion phase (UBC212(1200)). After MAPMAKER linkage analysis on the F2 population, the two closest markers were shown to be linked to Yr15 within a distance of about 12 cM. The recombination rates were recalculated using the maximum likelihood technique to take into account putative escaped individuals from the stripe rust resistance test and obtain unbiased distance estimates. As a result of this study, the stripe rust resistance gene Yr15 is surrounded by two flanking PCR markers, UBC199(700) and GWM33, at about 5 cM from each side.     

Evaluating stripe rust resistance in Indian wheat genotypes and breeding lines using molecular markers

Stripe rust (yellow rust), caused by Puccinia striiformis f. sp. tritici (Pst), is a serious disease of wheat worldwide, including India. Growing resistant cultivars is the most cost-effective and eco-friendly approach to manage the disease. In this study, 70 publically available molecular markers were used to identify the distribution of 35 Yr genes in 68 wheat genotypes. Out of 35 Yr genes, 25 genes amplified the loci associated with Yr genes. Of the 35, 18 were all-stage resistance ASR (All-stage resistance) genes and 7 (Yr16, Yr18, Yr29, Yr30, Yr36, Yr46 & Yr59) were APR (Adult-plant resistance) genes. In the field tests, evaluation for stripe rust was carried out under artificial inoculation of Pst. Fifty-three wheat genotypes were found resistant to yellow rust (ITs 0), accounting for 77.94% of total entries. Coefficients of infection ranged from 0 to 60 among all wheat genotypes. Two genotypes (VL 1099 & VL 3002) were identified with maximum 15 Yr genes followed by 14 genes in VL 3010 and HI8759, respectively. Maximum number of all-stage resistance genes were identified in RKD 292 (11) followed by ten genes in DBW 216, WH 1184 and VL 3002. Maximum number of adult-plant resistance gene was identified in VL 3009 (6), HI 8759 (5) and Lassik (4) respectively. Genes Yr26 (69.2%), Yr2 (69.1%), Yr64 (61.7%), Yr24 (58.9%), Yr7 (52.9%), Yr10 (50%) and Yr 48 (48.5%) showed high frequency among selected wheat genotypes, while Yr9 (2.94%), Yr36 (2.94%), Yr60 (1.47%) and Yr32 (8.8%) were least frequent in wheat genotypes. In future breeding programs, race specific genes and non-race specific genes should be utilised to pyramid with other effective genes to develop improved wheat cultivars with high-level and durable resistance to stripe rust. Proper deployment of Yr genes and utilizing the positive interactions will be helpful for resistance breeding in wheat.     

Development and mapping of microsatellite (SSR) markers in wheat

Microsatellite DNA markers are consistently found to be more informative than other classes of markers in hexaploid wheat. The objectives of this research were to develop new primers flanking wheat microsatellites and to position the associated loci on the wheat genome map by genetic linkage mapping in the ITMI W7984 × Opata85 recombinant inbred line (RIL) population and/or by physical mapping with cytogenetic stocks. We observed that the efficiency of marker development could be increased in wheat by creating libraries from sheared rather than enzyme-digested DNA fragments for microsatellite screening, by focusing on microsatellites with the [ATT/TAA]_n motif, and by adding an untemplated G-C clamp to the 5-end of primers. A total of 540 microsatellite-flanking primer pairs were developed, tested, and annotated from random genomic libraries. Primer pairs and associated loci were assigned identifiers prefixed with BARC (the acronym for the USDA-ARS Beltsville Agricultural Research Center) or Xbarc, respectively. A subset of 315 primer sets was used to map 347 loci. One hundred and twenty-five loci were localized by physical mapping alone. Of the 222 loci mapped with the ITMI population, 126 were also physically mapped. Considering all mapped loci, 126, 125, and 96 mapped to the A, B, and D genomes, respectively. Twenty-three of the new loci were positioned in gaps larger than 10 cM in the map based on pre-existing markers, and 14 mapped to the ends of chromosomes. The length of the linkage map was extended by 80.7 cM. Map positions were consistent for 111 of the 126 loci positioned by both genetic and physical mapping. The majority of the 15 discrepancies between genetic and physical mapping involved chromosome group 5.Electronic Supplementary Material Supplementary material is available for this article at     

Genetic variability in Brazilian wheat cultivars assessed by microsatellite markers

Wheat (Triticum aestivum) is one of the most important food staples in the south of Brazil. Understanding genetic variability among the assortment of Brazilian wheat is important for breeding. The aim of this work was to molecularly characterize the thirty-six wheat cultivars recommended for various regions of Brazil, and to assess mutual genetic distances, through the use of microsatellite markers. Twenty three polymorphic microsatellite markers (PMM) delineated all 36 of the samples, revealing a total of 74 simple sequence repeat (SSR) alleles, i.e. an average of 3.2 alleles per locus. Polymorphic information content (PIC value) calculated to assess the informativeness of each marker ranged from 0.20 to 0.79, with a mean of 0.49. Genetic distances among the 36 cultivars ranged from 0.10 (between cultivars Ocepar 18 and BRS 207) to 0.88 (between cultivars CD 101 and Fudancep 46), the mean distance being 0.48. Twelve groups were obtained by using the unweighted pair-group method with arithmetic means analysis (UPGMA), and thirteen through the Tocher method. Both methods produced similar clusters, with one to thirteen cultivars per group. The results indicate that these tools may be used to protect intellectual property and for breeding and selection programs.