A novel class of highly abundant polypeptides with antifungal activity has been detected in cell walls of barley leaves. Similar polypeptides known as thionins occur not only in monocotyledonous but also in various dictoyledonous plants. The leaf‐specific thionins of barley are encoded by a complex multigene family, which consists of at least 50‐100 members per haploid genome. All of these genes are confined to chromosome 6. The toxicity of these thionins for plant pathogenic fungi and the fact that their synthesis can also be triggered by pathogens strongly suggest that thionins are a naturally occurring, inducible plant protein possibly involved in the mechanism of plant defence against microbial infections.

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Increasing evidence suggests that the regulation of neuronal cell death is complex. In this study we compared the neurotoxic effects of tumor necrosis factor-alpha (TNFalpha), nitric oxide, and thrombin on primary rat cortical cell cultures and the neuronal PC12 cell line. Release of lactate dehydrogenase (LDH) and the intracellular accumulation of nucleosomes were used as indicators of necrosis and apoptosis, respectively. There was significant LDH release in both neuronal cell types, however, the pattern of LDH release was variable and agonist-dependent. In response to the nitric oxide generator, sodium nitroprusside (SNP), cortical cells exhibited pronounced LDH release and dramatic morphologic changes, whereas in differentiated PC12 cells, TNFalpha evoked release of LDH with no associated morphologic changes. Both neuronal cell types, but not undifferentiated PC12 cells, responded to TNFalpha and thrombin with increased apoptosis. Caspase inhibition, but not antioxidant treatment, reduced nucleosome accumulation in primary cortical cells, but not in differentiated PC12 cells. In the differentiated PC12 cells, caspase inhibition reduced TNFalpha-mediated LDH release, but not nucleosome accumulation. These data suggest mechanisms involved in neuronal cell death utilize multiple pathways that vary depending on the neurotoxic insult and are also influenced by subtle differences among neuronal cell phenotypes.

Introduction: Medical cannabis patients receive clinical benefits from the secondary metabolites of the plant, which contain a variety of cannabinoids and terpenoids in combinations that can be used to classify the chemovars. State-regulated medical cannabis programs rely on breeder-reported ''strain'' names both within diversion control systems and to describe the medical cannabis products that are sold to patients in medical cannabis dispensaries. In state-regulated medical cannabis programs, there is no conventional nomenclature system that correlates the breeder-reported names with their profiles of active ingredients, and these ''strain'' names are invalid as they refer to chemical differences properly referred to as to chemovars. Materials and Methods: To determine the actual levels of chemical diversity represented in 2662 samples of Cannabis flower collected between January 2016 and June of 2017 in Nevada, chemical profile data were measured from these samples by a state-qualified third-party testing laboratory. Principal component analysis (PCA) was used to define clusters in data sets representing both cannabinoids and terpenoids, cannabinoids only, or terpenoids only. Results: The PCA of the terpenoid only data set revealed three well-defined clusters. All three terpenoids only data clusters had high tetrahydrocannabinolic acid synthase, but the terpene profiles listed in reverse-order of abundance best defined these chemovars. The three chemovars in Nevada were labeled with 396 breederreported sample names, which overestimate the diversity and do not inform patients regarding chemical properties. Representative DNA samples were taken from each chemovar to determine whether the genetic diversity was greater than the chemical diversity. The limited genotyping experiment was based on DNA sequence polymorphisms. The genetic analysis revealed twelve distinct genetic clades, which still does not account for the entirety of the 396 reported sample names. The finite genotypes did not correlate with the chemotypes determined for the samples. This suggests that either the DNA-markers used were too narrowly restricted for factual separation or that environmental factors contributed more significantly to the chemical profiles of cannabis than genetics. Conclusion: The three chemovars and twelve genotypes reflect low medical diversity on the market in Nevada during its ''medical use only'' phase. Furthermore, the 396 breeder-reported sample names within this set imply a false sense of diversity of products in Nevada dispensaries.

In barley seedlings grown in the dark large amounts of thionin‐specific mRNAs are present, the concentration of which rapidly declines once the seedling is exposed to light. This rapid light effect is mediated by a complex interaction of possibly two photoreceptors, phytochrome and a blue‐light‐absorbing photoreceptor. Parallel to the decline in mRNA content, the de novo synthesis of leaf‐specific thionins ceases rapidly upon illumination of etiolated seedlings. However, thionins which have accumulated before the onset of illumination remain stable within the seedling at high concentrations. In younger leaves of mature, nonstressed barley plants grown under a 16‐h‐light/8‐h‐dark cycle thionins are still present, although at much lower concentrations. In these plants, synthesis and accumulation of thionins occur predominantly in the meristematic zone at the leaf basis, which is shielded from light through the sheath of the preceding leaf. In mature light‐adapted barley plants, mRNA encoding leaf‐specific thionins may reaccumulate if these plants are exposed to pathogens or other stresses. Thus, the inhibitory effect of light on the biosynthesis of thionins may be overruled by stress‐ and pathogen‐induced signals.