Nutrient, fibre, sorbitol and chlorogenic acid content of prunes (Prunus domestica): an updated analysis and comparison of different countries of origin and database values.

Current prune composition data are outdated and require a comprehensive and comparative re-analysis. This novel study aimed to: (i) analyse and compare prune composition from major countries of origin; and (ii) provide a comprehensive compositional analysis of prunes of USA origin and compare this with UK and USA database data. Prune samples were analysed for major nutrients and bioactive compounds and compared between countries of origin. Total fibre was higher in prunes from the USA (12.0 g/100 g) and Chile (11.5 g/100 g) compared with France (8.4 g/100 g) and Argentina (8.9 g/100 g), while prunes from all countries contained high levels of sorbitol (11.2-15.5 g/100 g). Differences in energy and starch values compared with national databases reflected different approaches to sampling and analysis. In conclusion, prunes contain high levels of fibre and other bioactive compounds. Variations between country of origin and database values highlight the importance of transparency in documenting sampling and analysis methods.

Analysis of the genetic diversity of beach plums by simple sequence repeat markers.

The purpose of this study was to measure the genetic diversity of wild beach plum and cultivated species, and to determine the species relationships using SSRs markers. An analysis of genetic diversity from ten beach plum germplasms was carried out using 11 simple sequence repeat (SSR) primers selected from 35 primers to generate distinct PCR products. From this plant material, 44 allele variations were detected, with 3-5 alleles identified from each primer. The analysis showed that the genetic similarity coefficient varied from 0.721 ± 0.155 to 0.848 ± 0.136 within each of the ten beach plum germplasms and changed within the range of 0.551 ± 0.084 to 0.695 ± 0.073 between any two pairs of germplasms. According to the genetic dissimilarity coefficient matrix, a cluster analysis of SSRs using the unweighted pair group mean average method in the NTSYSpc 2.10 software revealed that the ten germplasms could be divided into two groups at the dissimilarity coefficient of 0.606. Class I included 77.8, 12.5, 30, and 33.3% of MM, MI, NY, and CM, respectively. Class II contains the remaining 9 beach plum germplasms. The markers generated by 11 SSR primers proved very effective in distinguishing the beach plum germplasm resources. It was clear that the geographical distribution did not correspond with the genetic relationships among the different beach plum strains. This result will be of value to beach plum breeding programs.