Development of a Biotechnology Platform for the Fast-Growing Cyanobacterium Synechococcus sp. PCC 11901.
Development of a Biotechnology Platform for the Fast-Growing Cyanobacterium Synechococcus sp. PCC 11901.
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DOI：
10.3390/biom12070872
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发表时间：
2022-06-23
期刊：
影响因子：
5.5
通讯作者：
中科院分区：
文献类型：
--
作者：
据报道，聚球藻PCC 11901在优化条件下表现出任何已知蓝藻中最高、最持续的生长。由于其最近的发现，我们对其生物学的了解，包括持续快速增长的因素，是有限的。此外，尚未建立专门用于PCC 11901遗传操作的工具。在这里，我们证明，PCC 11901显示出更快的增长比其他模式蓝藻，包括快速增长的物种细长聚球藻UTEX 2973，在最佳生长条件下UTEX 2973。PCC 11901和集胞藻PCC 6803之间的比较基因组学揭示了大多数代谢途径的保守性，但PCC 11901具有简化的电子传递链和减少的光捕获复合物。这可能是其上级光利用，减少光抑制，更高的光合和呼吸速率的基础。为了帮助生物技术应用，我们开发了一种维生素B12营养缺陷型突变体，但无法使用两个阴性选择标记产生未标记的敲除，这表明重复遗传操作可能需要基于重组酶或CRISPR的方法。总的来说，这项研究确立了PCC 11901作为目前可用于蓝藻生物技术的最有前途的物种之一，并提供了一套有用的生物信息学工具和菌株，以推进这一领域，除了深入了解其快速生长表型的因素。
Synechococcus sp. PCC 11901 reportedly demonstrates the highest, most sustained growth of any known cyanobacterium under optimized conditions. Due to its recent discovery, our knowledge of its biology, including the factors underlying sustained, fast growth, is limited. Furthermore, tools specific for genetic manipulation of PCC 11901 are not established. Here, we demonstrate that PCC 11901 shows faster growth than other model cyanobacteria, including the fast-growing species Synechococcus elongatus UTEX 2973, under optimal growth conditions for UTEX 2973. Comparative genomics between PCC 11901 and Synechocystis sp. PCC 6803 reveal conservation of most metabolic pathways but PCC 11901 has a simplified electron transport chain and reduced light harvesting complex. This may underlie its superior light use, reduced photoinhibition, and higher photosynthetic and respiratory rates. To aid biotechnology applications, we developed a vitamin B12 auxotrophic mutant but were unable to generate unmarked knockouts using two negative selectable markers, suggesting that recombinase- or CRISPR-based approaches may be required for repeated genetic manipulation. Overall, this study establishes PCC 11901 as one of the most promising species currently available for cyanobacterial biotechnology and provides a useful set of bioinformatics tools and strains for advancing this field, in addition to insights into the factors underlying its fast growth phenotype.
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