Improved Mixing Properties of Stirred Fermentation of an Aspergillus oryzae Hyphal Dispersion Mutant.

IF 3.5 2区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY
Shunya Susukida,Ken Miyazawa,Hikaru Ichikawa,Kiyoaki Muto,Akira Yoshimi,Toshitaka Kumagai,Yoshikazu Kato,Keietsu Abe
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引用次数: 0

Abstract

The complexity of mechanical and biological processes in filamentous fungal fermentation remains a major obstacle to improving product yield. We previously demonstrated that the AGΔ-GAGΔ strain of Aspergillus oryzae, lacking both α-1,3-glucan (AG) and galactosaminogalactan (GAG), had improved hyphal dispersion, reduced culture viscosity, and increased recombinant protein production. Here, we applied computational fluid dynamics (CFD) and multi-omics analysis to characterize the AGΔ-GAGΔ strain during fermentation in a stirred-tank bioreactor. CFD simulations revealed large gas cavities behind the impeller blades and severe compartmentalization in both wild-type and AGΔ-GAGΔ cultures. However, shear stress distribution was broader and gas cavity formation was lower in the AGΔ-GAGΔ strain than in the wild type. The simulation results were consistent with measurements of volumetric oxygen mass transfer coefficients (KLa) and mixing times. Transcriptome analysis revealed upregulation of TCA-cycle genes in AGΔ-GAGΔ relative to the wild type. Analysis of intracellular and extracellular metabolites indicated distinct metabolic profiles associated with oxygen availability. Our findings highlight the critical role of hydrodynamics in fungal fermentation and demonstrate the potential of strain engineering for improving mixing characteristics.
米曲霉菌丝分散突变体搅拌发酵混合特性的改进。
丝状真菌发酵过程的机械和生物过程的复杂性仍然是提高产品产量的主要障碍。我们之前证明了AGΔ-GAGΔ米曲霉菌株,缺乏α-1,3-葡聚糖(AG)和半乳糖胺半乳聚糖(GAG),可以改善菌丝的分散,降低培养粘度,增加重组蛋白的产量。在这里,我们应用计算流体动力学(CFD)和多组学分析来表征AGΔ-GAGΔ菌株在搅拌槽生物反应器中的发酵过程。CFD模拟显示,在野生型和AGΔ-GAGΔ培养中,叶轮叶片后面都有较大的气腔和严重的区隔。但AGΔ-GAGΔ应变的剪切应力分布较野生型更宽,空腔形成较少。模拟结果与体积氧传质系数(KLa)和混合次数的测量结果一致。转录组分析显示AGΔ-GAGΔ中tca循环基因相对于野生型上调。细胞内和细胞外代谢物的分析表明,不同的代谢谱与氧的可用性相关。我们的发现突出了流体动力学在真菌发酵中的关键作用,并展示了菌株工程在改善混合特性方面的潜力。
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来源期刊
Biotechnology and Bioengineering
Biotechnology and Bioengineering 工程技术-生物工程与应用微生物
CiteScore
7.90
自引率
5.30%
发文量
280
审稿时长
2.1 months
期刊介绍: Biotechnology & Bioengineering publishes Perspectives, Articles, Reviews, Mini-Reviews, and Communications to the Editor that embrace all aspects of biotechnology. These include: -Enzyme systems and their applications, including enzyme reactors, purification, and applied aspects of protein engineering -Animal-cell biotechnology, including media development -Applied aspects of cellular physiology, metabolism, and energetics -Biocatalysis and applied enzymology, including enzyme reactors, protein engineering, and nanobiotechnology -Biothermodynamics -Biofuels, including biomass and renewable resource engineering -Biomaterials, including delivery systems and materials for tissue engineering -Bioprocess engineering, including kinetics and modeling of biological systems, transport phenomena in bioreactors, bioreactor design, monitoring, and control -Biosensors and instrumentation -Computational and systems biology, including bioinformatics and genomic/proteomic studies -Environmental biotechnology, including biofilms, algal systems, and bioremediation -Metabolic and cellular engineering -Plant-cell biotechnology -Spectroscopic and other analytical techniques for biotechnological applications -Synthetic biology -Tissue engineering, stem-cell bioengineering, regenerative medicine, gene therapy and delivery systems The editors will consider papers for publication based on novelty, their immediate or future impact on biotechnological processes, and their contribution to the advancement of biochemical engineering science. Submission of papers dealing with routine aspects of bioprocessing, description of established equipment, and routine applications of established methodologies (e.g., control strategies, modeling, experimental methods) is discouraged. Theoretical papers will be judged based on the novelty of the approach and their potential impact, or on their novel capability to predict and elucidate experimental observations.
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