Genetic diversity and metabolic profile of Salvia officinalis populations: implications for advanced breeding strategies.

MAIN CONCLUSION: As a result of this work, we were able to characterize seven indigenous to Greece Salvia officinalis populations using genetic and metabolomic tools. These tools can be used to select the most promising genotypes, capable to design future breeding programs for high valuable varieties. An initial investigation was carried out to compare the genetic and metabolic diversity in S. officinalis grown in Greece and to discern the relationship between the two sets of data. Analysis of inter-simple sequence repeats (ISSR) revealed significant genetic differences among seven sage populations, which were grouped into three main clusters according to an UPGMA ISSR data-based dendrogram and Principle Coordinate Analysis. 80 loci were scored of which up to 90% were polymorphic at species level. According to the composition of their essential oil, the populations were classified into two chemotypes: 1.8 cineole/α-thujone and α-thujone/1.8 cineole. Additionally, a targeted ultra performance liquid chromatography (UPLC-MS/MS) method was used to qualify and quantify phenolic compounds in methanolic extracts of the seven sage genotypes according to which they were districted in six clusters among the sage populations. The main compounds characterizing the seven genotypes were rosmarinic acid and carnosol, followed by apigenin-7-O-glucoside (Ap7glc), and luteolin-7-O-glucoside (Lu7glc). The correlation between matrices obtained from ISSR data and metabolic profiles was non-significant. However, based on the differences in metabolic fingerprint, we aimed to define populations using as main selection criteria the high polyphenol content and desired essential oil composition, using state to the art analytical tools for the identification of parent lines for breeding programs.

Database on mycosporines and mycosporine-like amino acids (MAAs) in fungi, cyanobacteria, macroalgae, phytoplankton and animals.

A database on UV-absorbing mycosporines and mycosporine-like amino acids (MAAs) has been constructed that provides information on various mycosporines and MAAs reported in fungi, cyanobacteria, macroalgae, phytoplankton and animals from aquatic and terrestrial habitats. It also contains information on biosynthetic routes of MAAs as well as on the absorption maxima and molecular structures of different mycosporines and MAAs (Table 1S). This database provides necessary information for scientists working in the field of photoprotective compounds in fungi, cyanobacteria, macroalgae, phytoplankton and animals (Table 2S). (Tables 1S and 2S are available online as Supplementary material in the electronic copy of the journal as well as on our server .).

Antidepressant drug selection: criteria and options.

The dilemma of developing new medications rationally--as opposed to discovering them through serendipity--is to create an optimal balance between the number of mechanisms of action needed for the widest spectrum of antidepressant activity while maximizing safety and tolerability. Newer antidepressants, such as serotonin selective reuptake inhibitors (SSRIs) and venlafaxine, have a wider therapeutic index than the older tricyclic antidepressants. Fewer types of adverse effects and a reduction in the potential for pharmacodynamic interactions are the distinct benefits of all the newer targeted antidepressants, such as venlafaxine, SSRIs, and bupropion, in comparison with older drugs. However, there are important differences among the newer antidepressants in terms of effects of P450 enzymes, dose-response curves for antidepressant response and adverse effects, and dosing schedules. One of the main benefits of having a wide array of options is the evidence that there may be different forms of the illness, which respond to different mechanisms of action. More research is needed to test this concept and to develop predictors of differential responsiveness.