Background: Global demand for energy is on the rise at a time when limited natural resources are fast depleting. To address this issue, microalgal biofuels are being recommended as a renewable and eco-friendly substitute for fossil fuels. Euglena gracilis is one such candidate that has received special interest due to their ability to synthesize wax esters that serve as precursors for production of drop-in jet fuel. However, to realize economic viability and achieve industrial-scale production, development of novel methods to characterize algal cells, evaluate its culture conditions, and construct appropriate genetically modified strains is necessary. Here, we report a Raman microspectroscopybased method to visualize important metabolites such as paramylon and ester during wax ester fermentation in single Euglena gracilis cells in a label-free manner. Results:We measured Raman spectra to obtain intracellular biomolecular information in Euglena under anaerobic condition. First, by univariate approach, we identified Raman markers corresponding to paramylon/esters and constructed their time-lapse chemical images. However, univariate analysis is severely limited in its ability to obtain detailed information as several molecules can contribute to a Raman band. Therefore, we further employed multivariate curve resolution analysis to obtain chain length-specific information and their abundance images of the produced esters. Accumulated esters in Euglena were particularly identified to be myristyl myristate (C28), a wax ester candidate suitable to prepare drop-in jet fuel. Interestingly, we found accumulation of two different forms of myristyl myristate for the first time in Euglena through our exploratory multivariate analysis. Conclusions:We succeeded in visualizing molecular-specific information in Euglena during wax ester fermentation by Raman microspectroscopy. It is obvious from our results that simple univariate approach is insufficient and that multivariate curve resolution analysis is crucial to extract hidden information from Raman spectra. Even though we have not measured any mutants in this study, our approach is directly applicable to other systems and is expected to deepen the knowledge on lipid metabolism in microalgae, which eventually leads to new strategies that will help to enhance biofuel production efficiency in the future.

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Background Our social activities are quite often erroneous and irrational, based on biased judgements and decision-making, known as social biases. However, the cognitive and affective processes that produce such biases remain largely unknown. In this study, we investigated associations between social schemas, such as social judgment and conformity, entailing social biases and psychological measurements relevant to cognitive and affective functions. Method This study recruited 42 healthy adult subjects. A psychological test and a questionnaire were administered to assess biased social judgements by superficial attributes and social conformity by adherence to social norms, respectively, along with additional questionnaires and psychological tests for cognitive and affective measurements, including negative affects, autistic traits, and Theory of Mind (ToM). Associations of social judgment and conformity with cognitive and affective functions were examined using a multiple regression analysis and structural equation modeling. Results Anxiety and the cognitive realm of ToM were mutually associated with both social judgments and conformity, although social judgements and conformity were still independent processes. Social judgements were also associated with autistic traits and the affective realm of ToM, whereas social conformity was associated with negative affects other than anxiety and an intuitive decision-making style. Conclusions These results suggest that ToM and negative affects may play important roles in social judgements and conformity, and the social biases connoted in these social schemas.

Introduction This study aimed to review the farming activity and the administrative measure to successfully increase the distribution of heirloom vegetable “mizuna” nationwide by examining the paradigm shift in the use of its young less-branched form for salad. We also discussed that breeding programs of the young form ironically resulted in reduction the flavor and the antimutagenicity of this vegetable. Methods Through hearing survey, we explored reasons for the successful nationwide distribution of heirloom vegetable, mizuna. Through chemical analysis, the fragrant ingredients in mizuna, their antimutagenicity and the changes in their amount for one year were determined. Results and discussion The primary factor for commencing the distribution of mizuna includes the new idea of using young less-branched form of mizuna as salad ingredient, which has been recognized by most who were involved in promoting the distribution of mizuna among farmers, distributors, and employees of agricultural extension section at Kyoto Prefecture office. The secondary factor is the fact that the primary factor coincides on a time axis with other two factors: the occurrence of the boom of Kyoto's heirloom vegetables and the Vegetable Management Stabilization Project found as a measure of Kyoto Prefecture. We determined three fragrant compounds in mizuna, 3-butenyl isothiocyanate, 3-phenylpropionitrile, and phenylethyl isothiocyanate, of which their antimutagenic effects were also identified. Those amounts were highest at the best harvest season called ‘Syun’ in the past because of the cold temperature of Japanese winter in traditional open-field cultivation. Conclusion It implied that the successful nationwide distribution of mizuna resulted from the administrative measures based on the paradigm shift in the new use of mizuna for salad due to increase in demand of the vegetable in contemporary dishes. The traditional cultivation of mizuna might be suitable if wishing the flavor and antimutagenicity at the best harvest season ‘Syun’.