Advanced Water Management Centre, The University of Queensland, 4072, St Lucia, Brisbane, Australia.
Advanced Water Management Centre, The University of Queensland, 4072, St Lucia, Brisbane, Australia.
Curr Opin Biotechnol. 2019 Jun;57:137-144. doi: 10.1016/j.copbio.2019.03.014. Epub 2019 Apr 17.
Mixed culture anaerobic processes are important to environmental systems, including the global carbon cycle, and industrial and environmental biotechnology. Mixed culture metabolic modelling (MM) is an essential tool to analyse these systems. MM predicts microbial function based on knowledge or assumption of cellular metabolism. It may be developed based on observations at the process level - biochemical process modelling (BPM) or fundamental knowledge of the cell being modelled - cellular level modelling (CLM). There is a substantial gap between these two fields, with BPM not considering genetic constraints, particularly where this may be important to interspecies interactions (e.g. amino acid transfer), and CLM commonly not considering mass transfer principles, such as advection/diffusion/migration. No unified approach is useful for all applications, but there is an increasing need to consider genetic information and constraints in developing BPM, and translate BPM principles (including mass-transfer and inorganic chemistry) for application to CLM.
混合培养厌氧工艺对于环境系统（包括全球碳循环和工业及环境生物技术）非常重要。混合培养代谢建模（MM）是分析这些系统的重要工具。MM 根据细胞代谢的知识或假设预测微生物功能。它可以基于过程水平的观察进行开发 - 生化过程建模（BPM）或所建模细胞的基础知识 - 细胞水平建模（CLM）。这两个领域之间存在很大差距，BPM 不考虑遗传限制，特别是在对种间相互作用（例如氨基酸转移）很重要的情况下，而 CLM 通常不考虑质量传递原则，例如对流/扩散/迁移。没有一种统一的方法适用于所有应用，但越来越需要在开发 BPM 时考虑遗传信息和限制，并将 BPM 原理（包括质量传递和无机化学）转化为 CLM 的应用。
