Computational analysis of the productivity potential of CAM.

There is considerable interest in transferring crassulacean acid metabolism (CAM) to C3 crops to improve their water-use efficiency. However, because the CAM biochemical cycle is energetically costly, it is unclear what impact this would have on yield. Using diel flux balance analysis of the CAM and C3 leaf metabolic networks, we show that energy consumption is three-fold higher in CAM at night. However, this additional cost of CAM can be entirely offset by the carbon-concentrating effect of malate decarboxylation behind closed stomata during the day. Depending on the resultant rates of the carboxylase and oxygenase activities of rubisco, the productivity of the PEPCK-CAM subtype is 74-100% of the C3 network. We conclude that CAM does not impose a significant productivity penalty and that engineering CAM into C3 crops is likely to lead to a major increase in water-use efficiency without substantially affecting yield.

Toward Community Standards and Software for Whole-Cell Modeling.

OBJECTIVE: Whole-cell (WC) modeling is a promising tool for biological research, bioengineering, and medicine. However, substantial work remains to create accurate comprehensive models of complex cells. METHODS: We organized the 2015 Whole-Cell Modeling Summer School to teach WC modeling and evaluate the need for new WC modeling standards and software by recoding a recently published WC model in the Systems Biology Markup Language. RESULTS: Our analysis revealed several challenges to representing WC models using the current standards. CONCLUSION: We, therefore, propose several new WC modeling standards, software, and databases. SIGNIFICANCE: We anticipate that these new standards and software will enable more comprehensive models.

Plant metabolic modeling: achieving new insight into metabolism and metabolic engineering.

Models are used to represent aspects of the real world for specific purposes, and mathematical models have opened up new approaches in studying the behavior and complexity of biological systems. However, modeling is often time-consuming and requires significant computational resources for data development, data analysis, and simulation. Computational modeling has been successfully applied as an aid for metabolic engineering in microorganisms. But such model-based approaches have only recently been extended to plant metabolic engineering, mainly due to greater pathway complexity in plants and their highly compartmentalized cellular structure. Recent progress in plant systems biology and bioinformatics has begun to disentangle this complexity and facilitate the creation of efficient plant metabolic models. This review highlights several aspects of plant metabolic modeling in the context of understanding, predicting and modifying complex plant metabolism. We discuss opportunities for engineering photosynthetic carbon metabolism, sucrose synthesis, and the tricarboxylic acid cycle in leaves and oil synthesis in seeds and the application of metabolic modeling to the study of plant acclimation to the environment. The aim of the review is to offer a current perspective for plant biologists without requiring specialized knowledge of bioinformatics or systems biology.

Comparison of Lavandula angustifolia Mill. tincture and imipramine in the treatment of mild to moderate depression: a double-blind, randomized trial.

Depression is a major health problem and is not only underrecognized and undertreated but is associated with significant morbidity and mortality. Lavandula angustifolia Mill. (Lamiacae) is used to treat depression. Many medicinal plant textbooks refer to this indication, whereas there is no evidence-based document. Our objective was to compare the efficacy of tincture of L. angustifolia with imipramine in the treatment of mild to moderate depression and to evaluate the possible adjuvant effect of this tincture in a 4 week double-blind, randomized trial. Forty-five adult outpatients who met the Diagnostic and Statistical Manual of Mental Disorders, 4th edition, for major depression based on the structured clinical interview for DSM IV participated in the trial. Patients have a baseline Hamilton Rating Scale for Depression score of at least 18. In this double-blind, single-center trial, patients were randomly assigned to receive lavandula tincture (1:5 in 50% alcohol ) 60 drops/day plus placebo tablet (Group A), tablet imipramine 100 mg/day plus placebo drop (Group B) and tablet imipramine 100 mg/day plus lavandula tincture 60 drops/day (Group C) for a 4-week study. In this small preliminary double-blind and randomized trial, lavandula tincture at this concentration was found to be less effective than imipramine in the treatment of mild to moderate depression (F=13.16, df=1, P=.001). In the imipramine group, anticholinergic effects such as dry mouth and urinary retention were observed more often that was predictable, whereas headache was observed more in the lavandula tincture group. A combination of imipramine and lavandula tincture was more effective than imipramine alone (F=20.83, df=1, P<.0001). As this study indicates, one of the advantages of this combination is a better and earlier improvement. The main overall finding from this study is that lavandula tincture may be of therapeutic benefit in the management of mild to moderate depression as adjuvant therapy. A large-scale trial is justified.