- สุวิมล พิริยธนาลัย
- 939 ครั้ง
| ชื่อโครงการวิจัย/ชื่อเรื่อง | Uncovering Global Metabolic Response to Cordycepin Production in Cordyceps militaris through Transcriptome and Genome-Scale Network-Driven Analysis |
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| ชื่อนักวิจัย/ชื่อผู้แต่ง | ณชล แร่ทอง |
| คำสำคัญ | Cordyceps militaris;cordycepin;transcriptome;genome-scale model |
| หน่วยงาน | ภาควิชาสัตววิทยา คณะวิทยาศาสตร์ มหาวิทยาลัยเกษตรศาสตร์ |
| ปีที่เผยแพร่ | 2562 |
| คำอธิบาย | The cellular metabolic adaptations of Cordyceps militaris have been progressively studied. In particular, the cordycepin pathway is of interest in medicinal applications. Even though the metabolic pathways for cordycepin production are known to be related to different carbon sources, the regulatory mechanisms at a systems level are poorly characterized. To explore the regulatory mechanisms, this study therefore aimed to investigate the global metabolic response to cordycepin production in C. militaris through transcriptome analysis and genome-scale network-driven analysis. Here, transcriptome analysis of 16,805 expressed genes in C. militaris strain TBRC6039 grown on different carbon sources was performed. Of these genes, 2,883 were significantly differentially expressed genes, uncovering sucrose- and glucose-mediated changes in the transcriptional regulation of central carbon metabolism in C. militaris, which was shown using the CmSNF1 mechanism as an example. After applying genome-scale metabolic network-driven analysis, reporter metabolites and key metabolic subnetworks involving adenosine, cordycepin and methionine were proposed through the up-regulation of cordycepin biosynthetic genes. Our findings suggest that the transcriptional regulation of these pathways is a ubiquitous feature in response to specific culture conditions during cordycepin overproduction. (Raethong N, et al. Sci Rep. 2018.) |
| ข้อมูลเพิ่มเติม | https://www.nature.com/articles/s41598-018-27534-7 |
| สาขาการวิจัย |
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Uncovering Global Metabolic Response to Cordycepin Production in Cordyceps militaris through Transcriptome and Genome-Scale Network-Driven Analysis is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 3.0 Thailand License.
