Scaife Mark Aden, Smith Alison Gail
Department of Plant Sciences, University of Cambridge, Downing Street, Cambridge, CB2 3EA U.K.
Biochem Soc Trans. 2016 Jun 15;44(3):716-22. doi: 10.1042/BST20160061.
The genetic, physiological and metabolic diversity of microalgae has driven fundamental research into photosynthesis, flagella structure and function, and eukaryotic evolution. Within the last 10 years these organisms have also been investigated as potential biotechnology platforms, for example to produce high value compounds such as long chain polyunsaturated fatty acids, pigments and antioxidants, and for biodiesel precursors, in particular triacylglycerols (TAGs). Transformation protocols, molecular tools and genome sequences are available for a number of model species including the green alga Chlamydomonas reinhardtii and the diatom Phaeodactylum tricornutum, although for both species there are bottlenecks to be overcome to allow rapid and predictable genetic manipulation. One approach to do this would be to apply the principles of synthetic biology to microalgae, namely the cycle of Design-Build-Test, which requires more robust, predictable and high throughput methods. In this mini-review we highlight recent progress in the areas of improving transgene expression, genome editing, identification and design of standard genetic elements (parts), and the use of microfluidics to increase throughput. We suggest that combining these approaches will provide the means to establish algal synthetic biology, and that application of standard parts and workflows will avoid parallel development and capitalize on lessons learned from other systems.
微藻的遗传、生理和代谢多样性推动了对光合作用、鞭毛结构与功能以及真核生物进化的基础研究。在过去10年里,这些生物还作为潜在的生物技术平台得到了研究,例如用于生产高价值化合物,如长链多不饱和脂肪酸、色素和抗氧化剂,以及生物柴油前体,特别是三酰甘油(TAGs)。包括绿藻莱茵衣藻和硅藻三角褐指藻在内的许多模式物种都有转化方案、分子工具和基因组序列,不过对于这两个物种而言,要实现快速且可预测的基因操作,仍有一些瓶颈需要克服。实现这一目标的一种方法是将合成生物学原理应用于微藻,即设计-构建-测试循环,这需要更强大、可预测且高通量的方法。在这篇小型综述中,我们重点介绍了在提高转基因表达、基因组编辑、标准遗传元件(部件)的鉴定与设计以及利用微流控技术提高通量等方面的最新进展。我们认为,将这些方法结合起来将为建立藻类合成生物学提供手段,并且应用标准部件和工作流程将避免并行开发,并利用从其他系统中学到的经验教训。