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Plant biodiversity must be safeguarded because it constitutes a resource of genes that may be used, for instance, in breeding programs. Lentil (Lens culinaris Medik.) is one of the most ancient crops of the Mediterranean region. Extensive differentiation of L. culinaris over millennia has resulted in a myriad of different landraces. However, in more recent times many landraces have disappeared consequent to environmental and socioeconomic changes. To promote the survival of endangered lentil landraces, we have investigated the genetic relationship between two ancient landrace cultivated in Capracotta and Conca Casale (Molise, south-central Italy) and widely spread commercial varieties using an integrated approach consisting of studies at morphological, DNA and protein level. Seeds of these two landraces were collected from local farmers and conserved in the Molise germoplasm bank. The two local landraces were well differentiated from each other, and the Conca Casale landrace was separated from the commercial varieties at morphological, protein and DNA level. The Capracotta landrace, was well separated from the commercial varieties, except Castelluccio di Norcia, at DNA level showing a more complex and heterogeneous segregation at morphological and biochemical level. The correlation between morphological, DNA and protein data, illustrates that proteomics is a powerful tool with which to complement the analysis of biodiversity in ecotypes of a single plant species and to identify physiological and/or environmental markers.

Incomplete reproductive barriers between species, especially in sympatric areas where several species coexist, may result in hybridization and an increase in genetic diversity. Here we assessed the amount of genetic diversity in a community of three interfertile and sympatric European oaks (Quercus frainetto Ten., Q. petraea Liebl. Matt. and Q. pubescens Willd.) situated in central Italy. We used 11 microsatellite markers derived from Expressed Sequence Tag (EST-SSRs) and we implemented a Bayesian clustering analysis to assign individuals to species or hybrids. All genotyped loci were polymorphic for all the species and three genetic clusters corresponding to each species were detected. Significant differences and a higher level of gene flow were observed between the three oak species. Occurrence of hybrids varied markedly within the studied area: hybrids between Q. petraea and Q, pubescens were the most frequent, while hybrids between Q. petraea and Q. frainetto were particularly rare. Q. pubescens and Q. petraea showed the highest number of alleles compared to Q. frainetto,which was characterized by a low number of private, but highly frequent, alleles. However, Q. frainetto showed a lower genetic diversity and a stronger reproductive isolation from the other two oak species.