Lipid production by robust Aspergillus oryzae BCC7051 and a mathematical model describing its growth and lipid phenotypic traits.

IF 3.2 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Siwaporn Wannawilai, Thanaporn Palasak, Warinthon Chamkhuy, Bhimabol Khongto, Sukanya Jeennor, Kobkul Laoteng
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引用次数: 0

Abstract

Aims: To identify the promising oleaginous Aspergillus oryzae strain and leverage its lipid and biomass production through a mathematical model.

Methods and results: Comparative profiling of the cell growth and total fatty acid (TFA) content among 13 strains of A. oryzae was performed to explore the discrimination in their lipid productions. The oleaginicity of A. oryzae was found to be strain dependent, where the fungal strain BCC7051 exhibited superior performance in producing lipid-rich biomass by submerged fermentation. The TFA contents of the strain BCC7051 were comparable when cultivated at a range of pH values (pH 3.5-6.5) and temperatures (24-42°C). The mathematical model was generated, well describing and predicting the fungal growth and lipid phenotypic traits at various temperatures and carbon substrates.

Conclusion: The A. oryzae strain BCC7051 was a robust cell factory, acquiring economically feasible options for producing valuable lipid-based products.

强壮曲霉 BCC7051 的脂质生产及其生长和脂质表型特征的数学模型。
目的:通过数学模型确定有潜力的含油曲霉菌株,并利用其脂质和生物量生产:对13株黑曲霉的细胞生长和总脂肪酸(TFA)含量进行了比较分析,以探索它们在脂质生产方面的差异。研究发现,A. oryzae 的产油能力与菌株有关,其中真菌菌株 BCC7051 在通过浸没发酵生产富含脂质的生物质方面表现优异。在不同 pH 值(pH 3.5-6.5)和温度(24-42°C)条件下培养的 BCC7051 菌株的反式脂肪酸含量相当。所建立的数学模型很好地描述和预测了真菌在不同温度和碳底物条件下的生长和脂质表型特征:结论:A. oryzae 菌株 BCC7051 是一个强大的细胞工厂,为生产有价值的脂质产品提供了经济可行的选择。
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来源期刊
Journal of Applied Microbiology
Journal of Applied Microbiology 生物-生物工程与应用微生物
CiteScore
7.30
自引率
2.50%
发文量
427
审稿时长
2.7 months
期刊介绍: Journal of & Letters in Applied Microbiology are two of the flagship research journals of the Society for Applied Microbiology (SfAM). For more than 75 years they have been publishing top quality research and reviews in the broad field of applied microbiology. The journals are provided to all SfAM members as well as having a global online readership totalling more than 500,000 downloads per year in more than 200 countries. Submitting authors can expect fast decision and publication times, averaging 33 days to first decision and 34 days from acceptance to online publication. There are no page charges.
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