Department of Chemical and Biomolecular Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, United States.
Department of Chemical and Biomolecular Engineering, Johns Hopkins University, 3400 N. Charles Street, Baltimore, MD 21218, United States.
Curr Opin Biotechnol. 2020 Dec;66:292-300. doi: 10.1016/j.copbio.2020.10.001. Epub 2020 Nov 14.
New technologies have allowed researchers to better design, build, and analyze complex consortia. These developments are fueling a wider implementation of consortium-based bioprocessing by leveraging synthetic biology, delivering on the field's multitudinous promises of higher efficiencies, superior resiliency, augmented capabilities, and modular bioprocessing. Here we chronicle current progress by presenting a range of screening, computational, and biomolecular tools enabling robust population control, efficient division of labor, and programmatic spatial organization; furthermore, we detail corresponding advancements in areas including machine learning, biocontainment, and standardization. Additionally, we show applications in myriad sectors, including medicine, energy and waste sustainability, chemical production, agriculture, and biosensors. Concluding remarks outline areas of growth that will promote the utilization of complex community structures across the biotechnology spectrum.
新技术使研究人员能够更好地设计、构建和分析复杂的联合体。这些发展正在通过利用合成生物学来推动基于联合体的生物加工的更广泛实施,实现该领域提高效率、增强弹性、增强能力和模块化生物加工的众多承诺。在这里,我们通过介绍一系列筛选、计算和生物分子工具来记录当前的进展,这些工具能够实现强大的群体控制、高效的分工和程序性的空间组织;此外,我们详细介绍了包括机器学习、生物控制和标准化在内的各个领域的相应进展。此外,我们还展示了在医学、能源和废物可持续性、化学生产、农业和生物传感器等众多领域的应用。结束语概述了将促进复杂群落结构在整个生物技术领域得到利用的增长领域。