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        Effects of tryptophan and phenylalanine on tryptophol production in Saccharomyces cerevisiae revealed by transcriptomic and metabolomic analyses

        Gong Xiaowei,Luo Huajun,Hong Liu,Wu Jun,Wu Heng,Song Chunxia,Zhao Wei,Han Yi,Dao Ya,Zhang Xia,Zhu Donglai,Luo Yiyong 한국미생물학회 2022 The journal of microbiology Vol.60 No.8

        Tryptophol (TOL) is a metabolic derivative of tryptophan (Trp) and shows pleiotropic effects in humans, plants and microbes. In this study, the effect of Trp and phenylalanine (Phe) on TOL production in Saccharomyces cerevisiae was determined, and a systematic interpretation of TOL accumulation was offered by transcriptomic and metabolomic analyses. Trp significantly promoted TOL production, but the output plateaued (231.02−266.31 mg/L) at Trp concentrations ≥ 0.6 g/L. In contrast, Phe reduced the stimulatory effect of Trp, which was strongly dependent on the Phe concentration. An integrated genomic, transcriptomic, and metabolomic analysis revealed that the effect of Trp and Phe on TOL production was mainly related to the transamination and decarboxylation of the Ehrlich pathway. Additionally, other genes, including thiamine regulon genes (this), the allantoin catabolic genes dal1, dal2, dal4, and the transcriptional activator gene aro80, may play important roles. These findings were partly supported by the fact that the thi4 gene was involved in TOL production, as shown by heterologous expression analysis. To the best of our knowledge, this novel biological function of thi4 in S. cerevisiae is reported here for the first time. Overall, our findings provide insights into the mechanism of TOL production, which will contribute to TOL production using metabolic engineering strategies.

      • Physical Internet-Enabled Manufacturing Execution System for Intelligent Workshop Production

        Ray Y. Zhong,Huajun Gong,Chen Xu,Shaoping Lu 보안공학연구지원센터 2016 International Journal of Signal Processing, Image Vol.9 No.6

        A Physical Internet-enabled Manufacturing Executive System (PIMES) is proposed for intelligent workshop production. PIMES uses Radio Frequency Identification (RFID), 433MHZ wireless communication, and Physical Internet concept to create a ubiquitous production environment where real-time data could be collected and then converted into dynamic feedback factors sent back to the system. PIMES includes several services such as Production Decision Service, Communication Control Service, Visibility Service, and Interface Service which are designed and developed by making full use of the service-oriented architecture (SOA) and Cloud technology. With the assistance of these services, PIMES is able to achieve several outperformances upon traditional production systems like paperless operations, real-time decision-making, automatic statistics and reporting, as well as visualized manufacturing control and management. After the implementation of PIMES, workshop production of a case enterprise is streamlined and optimized by making full use of the collected data to support the workshop production and logistics.

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