Department of Chemical and Biological Engineering, Rensselaer Polytechnic Institute, 110 8th St, Troy, NY 12180, USA.
Curr Opin Biotechnol. 2012 Oct;23(5):798-802. doi: 10.1016/j.copbio.2012.02.001. Epub 2012 Mar 1.
The use of microbial consortia for bioprocessing has been limited by our ability to reliably control community composition and function simultaneously. Recent advances in synthetic biology have enabled population-level coordination and control of ecosystem stability and dynamics. Further, new experimental and computational tools for screening and predicting community behavior have also been developed. The integration of synthetic biology with metabolic engineering at the community level is vital to our ability to apply system-level approaches to building and optimizing synthetic consortia for bioprocessing applications. This review details new methods, tools and opportunities that together have the potential to enable a new paradigm of bioprocessing using synthetic microbial consortia.
微生物群落在生物加工中的应用受到我们同时可靠地控制群落组成和功能的能力的限制。合成生物学的最新进展使我们能够协调和控制生态系统的稳定性和动态。此外,还开发了用于筛选和预测群落行为的新实验和计算工具。在群落水平上将合成生物学与代谢工程相结合,对于我们应用系统方法构建和优化用于生物加工应用的合成群落至关重要。这篇综述详细介绍了新的方法、工具和机会,这些方法、工具和机会有可能使使用合成微生物群落进行生物加工的新范式成为可能。