蒋金和
云师大马铃薯科学研究院尚轶教授与麻省理工学院Gregory Stephanopoulos在PNAS上发表最新成果
2024-2-2 14:23
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     2024年1月23日,PNAS旗下国际著名期刊《PROCEEDINGS OF THE NATIONAL ACADEMY OF SCIENCES OF THE UNITED STATES OF AMERICA》在线发表了云南师范大学生命科学学院、马铃薯科学研究院尚轶教授和美国麻省理工学院化学工程与生物技术系教授、美国工程院院士、美国微生物学会院士Gregory Stephanopoulos合作的生物合成研究成果《Engineering peroxisomal biosynthetic pathways for maximization of  triterpene production in Yarrowia lipolytica》(工程化过氧化物酶体生物合成提高解脂耶氏酵母( Yarrowia lipolytica)中三萜的研究)。

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Abstract

Constructing efficient cell factories for product synthesis is frequently hampered by competing pathways and/or insufficient precursor supply. This is particularly evident in the case of triterpenoid biosynthesis in Yarrowia lipolytica, where squalene biosynthesis is tightly coupled to cytosolic biosynthesis of sterols essential for cell viability. Here, we addressed this problem by reconstructing the complete squalene biosynthetic pathway, starting from acetyl-CoA, in the peroxisome, thus harnessing peroxisomal acetyl-CoA pool and sequestering squalene synthesis in this organelle from competing cytosolic reactions. This strategy led to increasing the squalene levels by 1,300-fold relatively to native cytosolic synthesis. Subsequent enhancement of the peroxisomal acetyl-CoA supply by two independent approaches, 1) converting cellular lipid pool to peroxisomal acetyl-CoA and 2) establishing an orthogonal acetyl-CoA shortcut from CO2-derived acetate in the peroxisome, further significantly improved local squalene accumulation. Using these approaches, we constructed squalene-producing strains capable of yielding 32.8 g/L from glucose, and 31.6 g/L from acetate by employing a cofeeding strategy, in bioreactor fermentations. Our findings provide a feasible strategy for protecting intermediate metabolites that can be claimed by multiple reactions by engineering peroxisomes in Y. lipolytica as microfactories for the production of such intermediates and in particular acetyl-CoA-derived metabolites.

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全文链接:

ma-et-al-2024-engineering-peroxisomal-biosynthetic-pathways-for-maximization-of-.pdf

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