Limiting factors in the operation of photosystems I and II in cyanobacteria

IF 5.7 2区 生物学 Microbial Biotechnology Pub Date : 2024-08-05 DOI:10.1111/1751-7915.14519
Christen L. Grettenberger, Reda Abou-Shanab, Trinity L. Hamilton
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Abstract

Cyanobacteria are important targets for biotechnological applications due to their ability to grow in a wide variety of environments, rapid growth rates, and tractable genetic systems. They and their bioproducts can be used as bioplastics, biofertilizers, and in carbon capture and produce important secondary metabolites that can be used as pharmaceuticals. However, the photosynthetic process in cyanobacteria can be limited by a wide variety of environmental factors such as light intensity and wavelength, exposure to UV light, nutrient limitation, temperature, and salinity. Carefully considering these limitations, modifying the environment, and/or selecting cyanobacterial species will allow cyanobacteria to be used in biotechnological applications.

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蓝藻光合系统 I 和 II 运行的限制因素。
蓝藻能够在多种环境中生长,生长速度快,基因系统易于控制,因此是生物技术应用的重要目标。它们及其生物产品可用作生物塑料、生物肥料和碳捕获,并产生可用作药物的重要次级代谢产物。然而,蓝藻的光合作用过程会受到各种环境因素的限制,如光照强度和波长、紫外线照射、营养限制、温度和盐度。仔细考虑这些限制因素、改变环境和/或选择蓝藻物种将使蓝藻能够用于生物技术应用。
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来源期刊
Microbial Biotechnology
Microbial Biotechnology Immunology and Microbiology-Applied Microbiology and Biotechnology
CiteScore
11.20
自引率
3.50%
发文量
162
审稿时长
1 months
期刊介绍: Microbial Biotechnology publishes papers of original research reporting significant advances in any aspect of microbial applications, including, but not limited to biotechnologies related to: Green chemistry; Primary metabolites; Food, beverages and supplements; Secondary metabolites and natural products; Pharmaceuticals; Diagnostics; Agriculture; Bioenergy; Biomining, including oil recovery and processing; Bioremediation; Biopolymers, biomaterials; Bionanotechnology; Biosurfactants and bioemulsifiers; Compatible solutes and bioprotectants; Biosensors, monitoring systems, quantitative microbial risk assessment; Technology development; Protein engineering; Functional genomics; Metabolic engineering; Metabolic design; Systems analysis, modelling; Process engineering; Biologically-based analytical methods; Microbially-based strategies in public health; Microbially-based strategies to influence global processes
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