营养弧菌基因组规模建模揭示了对嗜盐菌适应和资源分配的见解。

IF 8.5 1区 生物学 Q1 BIOCHEMISTRY & MOLECULAR BIOLOGY Molecular Systems Biology Pub Date : 2023-04-12 DOI:10.15252/msb.202110523
Lucas Coppens, Tanya Tschirhart, Dagmar H Leary, Sophie M Colston, Jaimee R Compton, William Judson Hervey, Karl L Dana, Gary J Vora, Sergio Bordel, Rodrigo Ledesma-Amaro
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引用次数: 6

摘要

产弧菌是一种生长速度极快的革兰氏阴性菌,有可能成为实验室和工业生物生产的标准生物技术宿主。尽管这种兴趣迅速增长,但目前缺乏特定生物体的定性和定量计算工具,阻碍了社区合理设计这种细菌的能力。在这项研究中,我们提出了第一个V. natrigens的基因组尺度代谢模型(GSMM)。GSMM (iLC858)是使用自动草图组装和大量人工管理开发的,并通过比较预测产量、中心代谢通量、活碳底物和必需基因与经验数据进行验证。基于质谱的蛋白质组学数据证实了至少76%的酶编码基因的翻译,预计该模型将在最小培养基中有氧生长期间表达。随后,iLC858被用于对模式生物大肠杆菌和V. natriegens进行代谢比较,从而分析了V. natriegens呼吸和atp生成系统的模型结构,并发现了钠依赖性草酰乙酸脱羧酶泵的作用。蛋白质组学数据进一步用于研究V. natrigens的其他嗜盐适应性。最后,利用iLC858建立资源平衡分析模型,研究碳资源的分配。综上所述,这些模型提供了有用的计算工具来指导益生菌的代谢工程工作。
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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Vibrio natriegens genome-scale modeling reveals insights into halophilic adaptations and resource allocation.

Vibrio natriegens is a Gram-negative bacterium with an exceptional growth rate that has the potential to become a standard biotechnological host for laboratory and industrial bioproduction. Despite this burgeoning interest, the current lack of organism-specific qualitative and quantitative computational tools has hampered the community's ability to rationally engineer this bacterium. In this study, we present the first genome-scale metabolic model (GSMM) of V. natriegens. The GSMM (iLC858) was developed using an automated draft assembly and extensive manual curation and was validated by comparing predicted yields, central metabolic fluxes, viable carbon substrates, and essential genes with empirical data. Mass spectrometry-based proteomics data confirmed the translation of at least 76% of the enzyme-encoding genes predicted to be expressed by the model during aerobic growth in a minimal medium. iLC858 was subsequently used to carry out a metabolic comparison between the model organism Escherichia coli and V. natriegens, leading to an analysis of the model architecture of V. natriegens' respiratory and ATP-generating system and the discovery of a role for a sodium-dependent oxaloacetate decarboxylase pump. The proteomics data were further used to investigate additional halophilic adaptations of V. natriegens. Finally, iLC858 was utilized to create a Resource Balance Analysis model to study the allocation of carbon resources. Taken together, the models presented provide useful computational tools to guide metabolic engineering efforts in V. natriegens.

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来源期刊
Molecular Systems Biology
Molecular Systems Biology 生物-生化与分子生物学
CiteScore
18.50
自引率
1.00%
发文量
62
审稿时长
6-12 weeks
期刊介绍: Systems biology is a field that aims to understand complex biological systems by studying their components and how they interact. It is an integrative discipline that seeks to explain the properties and behavior of these systems. Molecular Systems Biology is a scholarly journal that publishes top-notch research in the areas of systems biology, synthetic biology, and systems medicine. It is an open access journal, meaning that its content is freely available to readers, and it is peer-reviewed to ensure the quality of the published work.
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