Department of Life Sciences, Imperial College London, London SW7 2AZ, UK.
Wallace H. Coulter Department of Biomedical Engineering, Georgia Institute of Technology, Atlanta, GA 30332, USA.
Int J Mol Sci. 2021 Jul 3;22(13):7192. doi: 10.3390/ijms22137192.
Engineering biological processes has become a standard approach to produce various commercially valuable chemicals, therapeutics, and biomaterials. Among these products, bacterial cellulose represents major advances to biomedical and healthcare applications. In comparison to properties of plant cellulose, bacterial cellulose (BC) shows distinctive characteristics such as a high purity, high water retention, and biocompatibility. However, low product yield and extensive cultivation times have been the main challenges in the large-scale production of BC. For decades, studies focused on optimization of cellulose production through modification of culturing strategies and conditions. With an increasing demand for BC, researchers are now exploring to improve BC production and functionality at different categories: genetic, bioprocess, and product levels as well as model driven approaches targeting each of these categories. This comprehensive review discusses the progress in BC platforms categorizing the most recent advancements under different research focuses and provides systematic understanding of the progress in BC biosynthesis. The aim of this review is to present the potential of 'modern genetic engineering tools' and 'model-driven approaches' on improving the yield of BC, altering the properties, and adding new functionality. We also provide insights for the future perspectives and potential approaches to promote BC use in biomedical applications.
工程生物学过程已成为生产各种具有商业价值的化学物质、治疗剂和生物材料的标准方法。在这些产品中,细菌纤维素代表了生物医学和医疗保健应用的重大进展。与植物纤维素的性质相比,细菌纤维素(BC)具有高纯度、高保水性和生物相容性等独特特性。然而,低产率和广泛的培养时间一直是大规模生产 BC 的主要挑战。几十年来,研究重点一直集中在通过优化培养策略和条件来提高纤维素的产量。随着对 BC 的需求不断增加,研究人员现在正在探索在不同类别(遗传、生物工艺和产品水平)提高 BC 产量和功能的方法,以及针对这些类别的模型驱动方法。本综述讨论了 BC 平台的进展,将不同研究重点下的最新进展进行了分类,并对 BC 生物合成的进展进行了系统的理解。本综述的目的是展示“现代遗传工程工具”和“模型驱动方法”在提高 BC 产量、改变性能和增加新功能方面的潜力。我们还为促进 BC 在生物医学应用中的使用提供了未来展望和潜在方法的见解。