In silico identification of metabolic engineering strategies for improved lipid production in Yarrowia lipolytica by genome-scale metabolic modeling
2019 · Biotechnology for Biofuels
저자
Minsuk Kim, Beom Gi Park, Eun-Jung Kim, 김준원 (Joonwon Kim), Byung‐Gee Kim
연구주제
Microbial Metabolic Engineering and Bioproduction · Fungal and yeast genetics research
NTIS 과학기술표준분류
가장 가까운 분류(생명과학 > 융합바이오 > 시스템생물학)가 화학·화공 범위 밖이다. 배정 근거: AI 키워드가 잡은 NTIS 과제의 분류.
AI 연구 키워드·방법
유전체 규모 대사 모델(GEM) 미생물 지질 생산 oleaginous yeast 야로위아 리폴리티카
genome scale metabolic modeling
키워드 (OpenAlex)
Yarrowia lipolytica oleaginous yeast lipid production genome-scale metabolic models metabolic engineering nitrogen limitation metabolic flux distribution acetyl-CoA carboxylase
초록
Yarrowia lipolytica , an oleaginous yeast, is a promising platform strain for production of biofuels and oleochemicals as it can accumulate a high level of lipids in response to nitrogen limitation. Accordingly, many metabolic engineering efforts have been made to develop engineered strains of Y. lipolytica with higher lipid yields. Genome-scale model of metabolism (GEM) is a powerful tool for identifying novel genetic designs for metabolic engineering. Several GEMs for Y. lipolytica have recently been developed; however, not many applications of the GEMs have been reported for actual metabolic engineering of Y. lipolytica . The major obstacle impeding the application of Y. lipolytica GEMs is the lack of proper methods for predicting phenotypes of the cells in the nitrogen-limited condition, or more specifically in the stationary phase of a batch culture. In this study, we showed that en…
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교수 1
연구주제 1
Microbial Metabolic Engineering and Bioproduction