Characterizations of plant genetic resources based on molecular markers have been increased in the last years. Studies using a broad range of markers applied on hundreds of plant species are the theoretical basis for inferring genetic diversity to propose both breeding and conservation strategies. Despite increased importance of molecular characterization in plant genetic resources, there is scarce information about analysis of this type of data. To fill this gap of information, this review discuss the rationale behind analyses achieved to study genetic relationship among accessions (within and between groups) and to identify accession, and also discuss the adequacy of some analyses and/or parameters for specific purposes. Genetic diversity within groups may be either quantified for the whole group (parameters to choose will depend on type of marker), or quantified and visualized for the relationships among individuals. Quantification parameters will be chosen depending on type of marker, reproduction mode and relatedness of individuals. Visualization is achieved by hierarchical and nonhierarchical methods. Genetic diversity between groups should be quantified either by analysis of molecular variance, or Nei's parameters, or Wright's F-statistics. Efficiency of accession identification can be evaluated by maximal probability of identical match by chance and number of resolved genotypes.

BackgroundSesame is an important oil crop in tropical and subtropical areas. Despite its nutritional value and historic and cultural importance, the research on sesame has been scarce, particularly as far as its genetic diversity is concerned. The aims of the present study were to clarify genetic relationships among 32 sesame accessions from the Venezuelan Germplasm Collection, which represents genotypes from five diversity centres (India, Africa, China-Korea-Japan, Central Asia and Western Asia), and to determine the association between geographical origin and genetic diversity using amplified fragment length polymorphism (AFLP).ResultsLarge genetic variability was found within the germplasm collection. A total of 457 AFLP markers were recorded, 93 % of them being polymorphic. The Jaccard similarity coefficient ranged from 0.38 to 0.85 between pairs of accessions. The UPGMA dendrogram grouped 25 of 32 accessions in two robust clusters, but it has not revealed any association between genotype and geographical origin. Indian, African and Chinese-Korean-Japanese accessions were distributed throughout the dendrogram. A similar pattern was obtained using principal coordinates analysis. Genetic diversity studies considering five groups of accessions according to the geographic origin detected that only 20 % of the total diversity was due to diversity among groups using Nei's coefficient of population differentiation. Similarly, only 5% of the total diversity was attributed to differences among groups by the analysis of molecular variance (AMOVA). This small but significant difference was explained by the fact that the Central Asia group had a lower genetic variation than the other diversity centres studied.ConclusionWe found that our sesame collection was genetically very variable and did not show an association between geographical origin and AFLP patterns. This result suggests that there was considerable gene flow among diversity centres. Future germplasm collection strategies should focus on sampling a large number of plants. Covering many diversity centres is less important because each centre represents a major part of the total diversity in sesame, Central Asia centre being the only exception. The same recommendation holds for the choice of parents for segregant populations used in breeding projects. The traditional assumption that selecting genotypes of different geographical origin will maximize the diversity available to a breeding project does not hold in sesame.

Amplified fragments length polymorphism (AFLP) was used to distinguish 20 cultivars of sesame (Sesamum indicum L.) and to elucidate the genetic relationship among these genotypes. The data were also used to estimate the usefulness of parameters currently used to assess the informativeness of molecular markers. A total of 339 markers were obtained using 8 primer combinations. Of the bands, 91% were polymorphic. Five primer combinations were able to distinguish all 20 cultivars used. None of the remaining three primer combinations could distinguish all accessions if used alone, but using all three combinations reduced the probability of a random match to 5 · 10 -5 . Polymorphic information content (PIC), resolving power (Rp) and marker index (MI) of each primer combination failed to correlate significantly with the number of genotypes resolved. Jaccard's similarity coefficients ranged from 0.31 to 0.78. Fifteen cultivars were grouped by four UPGMA-clusters supported by bootstrapping values larger than 0.70. The grouping pattern was similar to the grouping generated by principal coordinate analysis. The results demonstrated that AFLP-based fingerprints can be used to identify unequivocally sesame genotypes, which is needed for cultivar identification and for the assessment of the genetic variability of breeding stocks. We recommend to use the number of cultivars identified by a primer combination instead of PIC, Rp and MI; and to calculate the maximal, instead of average probability of identical match by chance in the assessment of the informativeness of a marker for cultivar identification.

Background: Diversity estimates in cultivated plants provide a rationale for conservation strategies and support the selection of starting material for breeding programs. Diversity measures applied to crops usually have been limited to the assessment of genome polymorphism at the DNA level. Occasionally, selected morphological features are recorded and the content of key chemical constituents determined, but unbiased and comprehensive chemical phenotypes have not been included systematically in diversity surveys. Our objective in this study was to assess metabolic diversity in sesame by nontargeted metabolic profiling and elucidate the relationship between metabolic and genome diversity in this crop.

-The objective of this work was to determine the inheritance mode of seed coat color in sesame. Two crosses and their reciprocals were performed: UCLA37 x UCV3 and UCLA90 x UCV3, of which UCLA37 and UCLA90 are white seed, and UCV3 is brown seed. Results of reciprocal crosses within each cross were identical: F 1 seeds had the same phenotype as the maternal parent, and F 2 resulted in the phenotype brown color. These results are consistent only with the model in which the maternal effect is the responsible for this trait. This model was validated by recording the seed coat color of 100 F 2 plants (F 3 seeds) from each cross with its reciprocal, in which the 3:1 expected ratio for plants producing brown and white seeds was tested with the chi-square test. Sesame seed color is determined by the maternal genotype. Proposed names for the alleles participating in sesame seed coat color are: Sc 1 , for brown color; and Sc 2 , for white color; Sc 1 is dominant over Sc 2 .Index terms: Sesamum indicum, export market, maternal effect, seed color, sesame breeding. Herança da cor do tegumento em sementes de gergelimResumo -O objetivo deste trabalho foi determinar o padrão de herança da cor do tegumento da semente de gergelim. Dois cruzamentos com recíprocos foram feitos: UCLA37 x UCV3 e UCLA90 x UCV3, dos quais UCLA37 e UCLA90 apresentam sementes brancas e UCV3, sementes marrons. Os resultados dos cruzamentos recíprocos, dentro de cada cruzamento, foram idênticos: as sementes F 1 mostraram o mesmo fenótipo que o parental materno, e as F 2 resultaram no fenótipo semente marrom. Esses resultados são consistentes apenas com o modelo no qual o efeito materno é responsável por essa característica. Esse modelo foi validado pelo registro da cor do tegumento da semente de 100 plantas F 2 (sementes F 3 ) para cada cruzamento com o seu recíproco, em que a proporção esperada de 3:1 para plantas produzindo sementes marrons e brancas foi testada com o teste do qui-quadrado. A cor do tegumento da semente de gergelim é determinada pelo genótipo materno. Os nomes propostos para os alelos participantes na determinação da cor da semente de gergelim são: Sc 1 , para a cor marrom; e Sc 2 , para a cor branca; Sc 1 é dominante sobre Sc 2 .Termos para indexação: Sesamum indicum, mercado de exportação, efeito materno, cor da semente, melhoramento de gergelim.