Analysis of Yarrowia lipolytica growth, catabolism, and terpenoid biosynthesis during utilization of lipid-derived feedstock

IF 3.7 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY

Metabolic Engineering Communications Pub Date : 2020-12-01 DOI:10.1016/j.mec.2020.e00130

Alyssa M. Worland , Jeffrey J. Czajka , Yun Xing , Willie F. Harper Jr. , Aryiana Moore , Zhengyang Xiao , Zhenlin Han , Yechun Wang , Wei Wen Su , Yinjie J. Tang

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引用次数: 13

Abstract

This study employs biomass growth analyses and ¹³C-isotope tracing to investigate lipid feedstock utilization by Yarrowia lipolytica. Compared to glucose, oil-feedstock in the minimal medium increases the yeast's biomass yields and cell sizes, but decreases its protein content (<20% of total biomass) and enzyme abundances for product synthesis. Labeling results indicate a segregated metabolic network (the glycolysis vs. the TCA cycle) during co-catabolism of sugars (glucose or glycerol) with fatty acid substrates, which facilitates resource allocations for biosynthesis without catabolite repressions. This study has also examined the performance of a β-carotene producing strain in different growth mediums. Canola oil-containing yeast-peptone (YP) has resulted in the best β-carotene titer (121 ± 13 mg/L), two-fold higher than the glucose based YP medium. These results highlight the potential of Y. lipolytica for the valorization of waste-derived lipid feedstock.

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脂源性原料利用过程中多脂耶氏菌生长、分解代谢和萜类生物合成的分析

本研究采用生物量生长分析和13c同位素示踪研究了多脂耶氏菌对脂质原料的利用。与葡萄糖相比，最小培养基中的油原料增加了酵母的生物量产量和细胞大小，但降低了其蛋白质含量(占总生物量的20%)和用于产物合成的酶丰度。标记结果表明，在糖(葡萄糖或甘油)与脂肪酸底物的共分解代谢过程中，存在分离的代谢网络(糖酵解与TCA循环)，这有助于生物合成的资源分配，而不会抑制分解代谢。本研究还考察了一种β-胡萝卜素生产菌株在不同生长培养基中的表现。含菜籽油酵母蛋白胨(YP)培养基的β-胡萝卜素滴度最高(121 ± 13 mg/L)，比以葡萄糖为基础的YP培养基高2倍。这些结果突出了解脂芽孢杆菌在废物衍生的脂质原料增值方面的潜力。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Metabolic Engineering Communications Medicine-Endocrinology, Diabetes and Metabolism

CiteScore

13.30

自引率

1.90%

发文量

审稿时长

18 weeks

期刊介绍： Metabolic Engineering Communications, a companion title to Metabolic Engineering (MBE), is devoted to publishing original research in the areas of metabolic engineering, synthetic biology, computational biology and systems biology for problems related to metabolism and the engineering of metabolism for the production of fuels, chemicals, and pharmaceuticals. The journal will carry articles on the design, construction, and analysis of biological systems ranging from pathway components to biological complexes and genomes (including genomic, analytical and bioinformatics methods) in suitable host cells to allow them to produce novel compounds of industrial and medical interest. Demonstrations of regulatory designs and synthetic circuits that alter the performance of biochemical pathways and cellular processes will also be presented. Metabolic Engineering Communications complements MBE by publishing articles that are either shorter than those published in the full journal, or which describe key elements of larger metabolic engineering efforts.