Genome-scale reconstruction and metabolic modelling of the fast-growing thermophile Geobacillus sp. LC300

IF 3.7 Q2 BIOTECHNOLOGY & APPLIED MICROBIOLOGY Metabolic Engineering Communications Pub Date : 2022-12-01 DOI:10.1016/j.mec.2022.e00212
Emil Ljungqvist, Martin Gustavsson
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引用次数: 1

Abstract

Thermophilic microorganisms show high potential for use as biorefinery cell factories. Their high growth temperatures provide fast conversion rates, lower risk of contaminations, and facilitated purification of volatile products. To date, only a few thermophilic species have been utilized for microbial production purposes, and the development of production strains is impeded by the lack of metabolic engineering tools. In this study, we constructed a genome-scale metabolic model, an important part of the metabolic engineering pipeline, of the fast-growing thermophile Geobacillus sp. LC300. The model (iGEL604) contains 604 genes, 1249 reactions and 1311 metabolites, and the reaction reversibility is based on thermodynamics at the optimum growth temperature. The growth phenotype is analyzed by batch cultivations on two carbon sources, further closing balances in carbon and degree-of-reduction. The predictive ability of the model is benchmarked against experimentally determined growth characteristics and internal flux distributions, showing high similarity to experimental phenotypes.

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快速生长的嗜热细菌Geobacillus sp. LC300的基因组重建和代谢模型
嗜热微生物在生物炼制细胞工厂中具有很高的应用潜力。它们的高生长温度提供了快速的转化率,较低的污染风险,并促进了挥发性产物的净化。迄今为止,只有少数嗜热菌株被用于微生物生产目的,并且由于缺乏代谢工程工具,生产菌株的开发受到阻碍。在本研究中,我们构建了快速生长的嗜热菌Geobacillus sp. LC300的基因组尺度代谢模型,这是代谢工程管道的重要组成部分。该模型(iGEL604)包含604个基因,1249个反应和1311个代谢物,在最佳生长温度下的反应可逆性基于热力学。通过对两种碳源的批量培养来分析生长表型,进一步接近碳和还原度的平衡。该模型的预测能力以实验确定的生长特性和内部通量分布为基准,显示出与实验表型的高度相似性。
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来源期刊
Metabolic Engineering Communications
Metabolic Engineering Communications Medicine-Endocrinology, Diabetes and Metabolism
CiteScore
13.30
自引率
1.90%
发文量
22
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.
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