Multi-omics data and model integration reveal the main mechanisms associated with respiro-fermentative metabolism and ethanol stress responses in Kluyveromyces marxianus

IF 3.7 3区 生物学 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Biochemical Engineering Journal Pub Date : 2024-08-24 DOI:10.1016/j.bej.2024.109471
Maurício Alexander de Moura Ferreira , Wendel Batista da Silveira
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Abstract

Kluyveromyces marxianus is a yeast capable of fermenting sugars into ethanol and growing at high temperatures (>37ºC). However, it is less tolerant to ethanol than Saccharomyces cerevisiae, which limits its application in second-generation ethanol production. Since the mechanisms of ethanol stress response are still poorly described, especially compared to S. cerevisiae, we used an integrative multi-omics approach, combining transcriptomics, co-expression networks, gene regulation, and genome-scale metabolic modelling to gain insights about these mechanisms. Through metabolic modelling, we predicted the occurrence of a respiro-fermentative metabolism and its onset as the dilution rate increased. From gene co-expression networks, we detected that the protein quality control system is a main mechanism involved in the ethanol stress response. Further, we identified key regulators in the ethanol stress response, such as HAP3, MET4, and SNF2, and assessed how disturbances in their gene expression affect cellular metabolism. We also found that amino acid metabolism, membrane lipid metabolism, and ergosterol exhibit increased metabolic flux under the explored conditions, along with usage of enzymes related to these pathways. These findings provide useful cues to develop and implement genetic and metabolic engineering strategies to enhance ethanol tolerance and point for future research in stress responses of K. marxianus.

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多组学数据和模型整合揭示了马氏克鲁维氏菌呼吸发酵代谢和乙醇胁迫响应的主要机制
Kluyveromyces marxianus 是一种能将糖发酵成乙醇并能在高温(37ºC)下生长的酵母菌。然而,它对乙醇的耐受性不如酿酒酵母,这限制了它在第二代乙醇生产中的应用。由于乙醇应激反应机制的描述还很不完善,特别是与酿酒酵母相比,我们采用了一种综合的多组学方法,结合转录组学、共表达网络、基因调控和基因组规模的代谢模型来深入了解这些机制。通过新陈代谢建模,我们预测了呼吸发酵新陈代谢的发生及其随着稀释率增加而开始的过程。通过基因共表达网络,我们发现蛋白质质量控制系统是参与乙醇胁迫响应的主要机制。此外,我们还确定了乙醇胁迫反应中的关键调控因子,如 HAP3、MET4 和 SNF2,并评估了它们的基因表达紊乱如何影响细胞代谢。我们还发现,在所探讨的条件下,氨基酸代谢、膜脂代谢和麦角甾醇的代谢通量以及与这些途径相关的酶的使用都有所增加。这些发现为开发和实施提高乙醇耐受性的遗传和代谢工程策略提供了有用的线索,并为今后研究 K. marxianus 的应激反应指明了方向。
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来源期刊
Biochemical Engineering Journal
Biochemical Engineering Journal 工程技术-工程:化工
CiteScore
7.10
自引率
5.10%
发文量
380
审稿时长
34 days
期刊介绍: The Biochemical Engineering Journal aims to promote progress in the crucial chemical engineering aspects of the development of biological processes associated with everything from raw materials preparation to product recovery relevant to industries as diverse as medical/healthcare, industrial biotechnology, and environmental biotechnology. The Journal welcomes full length original research papers, short communications, and review papers* in the following research fields: Biocatalysis (enzyme or microbial) and biotransformations, including immobilized biocatalyst preparation and kinetics Biosensors and Biodevices including biofabrication and novel fuel cell development Bioseparations including scale-up and protein refolding/renaturation Environmental Bioengineering including bioconversion, bioremediation, and microbial fuel cells Bioreactor Systems including characterization, optimization and scale-up Bioresources and Biorefinery Engineering including biomass conversion, biofuels, bioenergy, and optimization Industrial Biotechnology including specialty chemicals, platform chemicals and neutraceuticals Biomaterials and Tissue Engineering including bioartificial organs, cell encapsulation, and controlled release Cell Culture Engineering (plant, animal or insect cells) including viral vectors, monoclonal antibodies, recombinant proteins, vaccines, and secondary metabolites Cell Therapies and Stem Cells including pluripotent, mesenchymal and hematopoietic stem cells; immunotherapies; tissue-specific differentiation; and cryopreservation Metabolic Engineering, Systems and Synthetic Biology including OMICS, bioinformatics, in silico biology, and metabolic flux analysis Protein Engineering including enzyme engineering and directed evolution.
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