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通过费氏藻属F5菌株进行培养优化以高产类菌孢素氨基酸

Culture Optimization to Produce High Yields of Mycosporine-Like Amino Acids by Fischerella sp. F5.

作者信息

Salehian Shayan, Saadatbakht Melika, Tabarzad Maryam, Hosseinabadi Tahereh

机构信息

Department of Pharmacognosy, School of Pharmacy, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

Protein Technology Research Center, Shahid Beheshti University of Medical Sciences, Tehran, Iran.

出版信息

Mol Biotechnol. 2023 Aug 19. doi: 10.1007/s12033-023-00854-4.

DOI:10.1007/s12033-023-00854-4
PMID:37597118
Abstract

Fischerella sp. is a valuable source of active metabolites, including UV-protecting compounds, among which mycosporin-like amino acids (MAAs) can be mentioned. Mycosporine-like amino acids are attractive secondary metabolites of a wide range of microorganisms, including microalgae and cyanobacteria. Enhanced production of MAAs has been studied in different sources. This study aimed to optimize the phosphate and nitrate concentrations of the culture medium on BG11 to maximize MAAs production from Fischerella sp. F5, using response surface methodology. The extraction process from the cultures, grown in adjusted conditions, was also optimized. The results confirmed that increasing both, nitrate and phosphate concentration, in the culture medium had a positive effect on the MAAs production by Fischerella sp. F5. While, optimization of the extraction process was not led to a highly accurate predictive model; temperature, sonication time, methanol ratio, and solvent/biomass ratio exhibited significant effects on the final MAAs' concentration in partially purified extracts. In general, more optimization cultures studies need to complete these findings in reference to MAAs production and extraction from Fischerella sp. F5, for commercial-scale applications.

摘要

费氏藻属是活性代谢产物的宝贵来源,包括紫外线防护化合物,其中可提及类菌孢素氨基酸(MAAs)。类菌孢素氨基酸是包括微藻和蓝细菌在内的多种微生物具有吸引力的次生代谢产物。不同来源中MAAs的产量提升已得到研究。本研究旨在使用响应面法优化BG11培养基中的磷酸盐和硝酸盐浓度,以使费氏藻属F5菌株的MAAs产量最大化。还对在调整条件下培养的菌株进行提取过程的优化。结果证实,培养基中硝酸盐和磷酸盐浓度的增加对费氏藻属F5菌株的MAAs产量有积极影响。然而,提取过程的优化并未得到高度准确的预测模型;温度、超声处理时间、甲醇比例和溶剂/生物质比例对部分纯化提取物中最终MAAs的浓度有显著影响。总体而言,需要更多的优化培养研究来完善这些关于从费氏藻属F5菌株生产和提取MAAs以用于商业规模应用的研究结果。

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Iran J Pharm Res. 2021 Fall;20(4):405-414. doi: 10.22037/ijpr.2021.115100.15194.
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J Sci Food Agric. 2022 Jan 30;102(2):801-812. doi: 10.1002/jsfa.11415. Epub 2021 Jul 19.
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