Integrated experimental and photo-mechanistic modelling of biomass and optical density production of fast versus slow growing model cyanobacteria

Integrated experimental and photo-mechanistic modelling of biomass and optical density production of fast versus slow growing model cyanobacteria
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DOI:
10.1016/j.algal.2023.102997
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发表时间:
2023-03
期刊:
Algal Research
影响因子:
--
通讯作者:
B. A. Cho;J. A. Moreno-Cabezuelo;L. A. Mills;Ehecatl Antonio Del Río Chanona;D. Lea-Smith;Dongda Zhang
B. A. Cho;J. A. Moreno-Cabezuelo;L. A. Mills;Ehecatl Antonio Del Río Chanona;D. Lea-Smith;Dongda Zhang
中科院分区:
其他
文献类型:
--
作者:
B. A. Cho;J. A. Moreno-Cabezuelo;L. A. Mills;Ehecatl Antonio Del Río Chanona;D. Lea-Smith;Dongda Zhang

文献摘要

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生物技术开发的快速增长的蓝藻物种是阻碍了不可用的机械解释不同的生物转化率时,探索菌株具有相似的代谢途径和运输系统。这项研究调查了两种菌株:Synechococcus sp. PCC 11901,迄今为止发现的生长最快的蓝藻,以及Synechocystis sp. PCC 6803,在300至900 μmol光子m-2s-1的操作光强度范围内,并提出了三个原始贡献。首先,构建了菌株特异性动态生物量和光密度(OD 750 nm)模型,该模型结合了以前在OD 750 nm中未实现的复杂的光机械影响。其次,利用3重交叉验证的自举参数估计来同时识别模型参数和置信区间,从而使概率模拟和对实验数据集的彻底验证成为可能。第三,提出了PCC 11901的生长速度比PCC 6803快两倍以上的机理解释,尽管PCC 6803的高光利用效率。这些研究结果将有利于未来蓝藻生物技术的应用和集球藻的开发。PCC 11901用于生产具有工业、营养和医疗重要性的生物质和化学品。
Biotechnological exploitation of fast-growing cyanobacterial species is hindered by unavailable mechanistic interpretations for the differing bioconversion rates when exploring strains with similar metabolic pathways and transport systems. This study investigated two strains: Synechococcus sp. PCC 11901, the fastest growing cyanobacterium identified to date, and Synechocystis sp. PCC 6803, under a range of operational light intensities from 300 to 900 μmol photons m−2s−1, and presents three original contributions. Firstly, strain specific dynamic biomass and optical density (OD750nm) models were constructed incorporating sophisticated photo-mechanistic influences, previously unachieved in OD750nm. Secondly, bootstrapping parameter estimation with 3-fold cross validations was exploited to simultaneously identify the model parameters and confidence intervals, thus enabling probabilistic simulations and thorough validation against experimental data sets. Thirdly, presented mechanistic interpretations for the over two-fold faster growth of PCC 11901 versus PCC 6803 despite PCC 6803's high light utilisation efficiency. These findings will benefit upscaling of future cyanobacterial biotechnology applications and exploitation ofSynechococcussp. PCC 11901 for production of biomass and chemicals of industrial, nutritional and medical importance.