Informativeness of minisatellite and microsatellite markers for genetic analysis in papaya.

The objective of this study was to evaluate information on minisatellite and microsatellite markers in papaya (Carica papaya L.). Forty minisatellites and 91 microsatellites were used for genotyping 24 papaya accessions. Estimates of genetic diversity, genetic linkage and analyses of population structure were compared. A lower average number of alleles per locus was observed in minisatellites (3.10) compared with microsatellites (3.57), although the minisatellites showed rarer alleles (18.54 %) compared with microsatellite (13.85 %). Greater expected (He = 0.52) and observed (Ho = 0.16) heterozygosity was observed in the microsatellites compared with minisatellites (He = 0.42 and Ho = 0.11), possibly due to the high number of hermaphroditic accessions, resulting in high rates of self-fertilization. The polymorphic information content and Shannon-Wiener diversity were also higher for microsatellites (from 0.47 to 1.10, respectively) compared with minisatellite (0.38 and 0.85, respectively). The probability of paternity exclusion was high for both markers (>0.999), and the combined probability of identity was from 1.65(-13) to 4.33(-38) for mini- and micro-satellites, respectively, which indicates that both types of markers are ideal for genetic analysis. The Bayesian analysis indicated the formation of two groups (K = 2) for both markers, although the minisatellites indicated a substructure (K = 4). A greater number of accessions with a low probability of assignment to specific groups were observed for microsatellites. Collectively, the results indicated higher informativeness of microsatellites. However, the lower informative power of minisatellites may be offset by the use of larger number of loci. Furthermore, minisatellites are subject to less error in genotyping because there is greater power to detect genotyping systems when larger motifs are used.

Use of morpho-agronomic traits and DNA profiling for classification of genetic diversity in papaya.

We examined the genetic diversity of papaya (Carica papaya) based on morpho-agronomic and molecular data. Twenty-seven genotypes grown in Brazil were analyzed with 11 AFLP primer combinations, 23 ISSR markers, 22 qualitative, and 30 quantitative descriptors. For the joint analyses, we used the Gower algorithm (Joint Gower) and the average value of the individual dissimilarity matrix for each type of data (Average-Joint Gower); 359 AFLP and 52 ISSR polymorphic bands were found. Approximately 29.2 and 7.7% of the AFLP and ISSR bands, respectively, were genotype-specific and may therefore be used for papaya variety protection. Although there was a significant correlation between the qualitative and quantitative descriptor dissimilarity matrices (r = 0.43), the morpho-agronomic data were not highly correlated with the molecular data. Moreover, correlation between AFLP and ISSR dissimilarity matrices was nearly null (r = -0.01). Joint Gower analysis of all data showed high correlations, especially for AFLP markers, most likely due to the larger number of bands, generating a strong bias in the diversity estimates. The Average-Joint Gower analysis allowed a better balance between the correlations for the continuous and the discrete variables. The results generated by clustering analysis distinguished 5 genetically distinct groups. While we found that papaya genotypes are significantly variable for many traits, we observed that Average-Joint Gower analysis allowed for genotype clustering based on the most widely used criterion for classifying papaya genotypes, which is fruit type ('Formosa' or 'Solo'). This information helps provide an accurate estimate of the genetic diversity and structure of papaya germplasm, which will be used for further breeding strategies.