Kunal Dutta, Mariia S Ashikhmina, Ekaterina V Skorb, Sergey Shityakov
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引用次数: 0
Abstract
Docosahexaenoic acid (DHA) is an omega-3 fatty acid that is essential for optimal brain growth and development. Fish oil is the main dietary source of DHA. However, off-flavors and contamination with persistent organic pollutants are the main issues when DHA is sourced ethically from deep-sea fishes. Microalgae offer a sustainable, viable option for DHA production. However, optimization of the DHA yield using low-cost materials helps in reducing the fermentation cost. In this systematic review, we cover recent progress on enhanced DHA production during the last ten years, 2015-2025. We discuss how mutagenomics, genetic engineering, and numerous growth supplementations help in enhanced DHA production. ARTP mutagenesis significantly improves DHA yield up to 41.4 g/L. While overexpression/co-overexpression/manipulating selected genes linked to the central carbohydrate metabolism, lipid metabolism showed DHA yield up to 51.5 g/L. Furthermore, sustainable, low-cost carbon and nitrogen sources of fermentation media enhanced microalgal biomass and DHA yield. DHA yield was 20.7 g/L using maize starch hydrolysate as a carbon source and soybean meal hydrolysate as a nitrogen source. In addition, cane molasses as a nitrogen source along with overexpressed sucrose dehydrogenase in an adaptive laboratory evolution (ALE) optimized microalgal strain displayed a 162.86% increase in DHA yield (25.26 g/L). Differentially expressed genes (DEGs) revealed from transcriptomics are aligned with the metabolomics profile of DHA-producing microalgae. Enzymes linked to the central carbohydrate metabolism, fatty acid synthase (FAS), and polyketide synthase (PKS) pathways were upregulated along with high cellular demands of NADPH and acetyl-CoA. We believe this review may be useful for further advancement of high-yield DHA-producing microalgae.
期刊介绍:
The journal is particularly interested in studies on the design and synthesis of new genetic circuits and gene products; computational methods in the design of systems; and integrative applied approaches to understanding disease and metabolism.
Topics may include, but are not limited to:
Design and optimization of genetic systems
Genetic circuit design and their principles for their organization into programs
Computational methods to aid the design of genetic systems
Experimental methods to quantify genetic parts, circuits, and metabolic fluxes
Genetic parts libraries: their creation, analysis, and ontological representation
Protein engineering including computational design
Metabolic engineering and cellular manufacturing, including biomass conversion
Natural product access, engineering, and production
Creative and innovative applications of cellular programming
Medical applications, tissue engineering, and the programming of therapeutic cells
Minimal cell design and construction
Genomics and genome replacement strategies
Viral engineering
Automated and robotic assembly platforms for synthetic biology
DNA synthesis methodologies
Metagenomics and synthetic metagenomic analysis
Bioinformatics applied to gene discovery, chemoinformatics, and pathway construction
Gene optimization
Methods for genome-scale measurements of transcription and metabolomics
Systems biology and methods to integrate multiple data sources
in vitro and cell-free synthetic biology and molecular programming
Nucleic acid engineering.