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Ameliorating microalgal OMEGA production using omics platforms
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Chemical Engineering.
Department of Life Sciences – LIFE, Division of Industrial Biotechnology, Chalmers University of Technology, SE-412 96 Gothenburg, Sweden; Innovation Unit, Italbiotec Srl Società Benefit, Milan, Italy.
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Chemical Engineering.ORCID iD: 0000-0001-7500-2367
Luleå University of Technology, Department of Civil, Environmental and Natural Resources Engineering, Chemical Engineering.ORCID iD: 0000-0003-0079-5950
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2024 (English)In: Trends in Plant Science, ISSN 1360-1385, E-ISSN 1878-4372, Vol. 29, no 7, p. 799-813Article, review/survey (Refereed) Published
Abstract [en]

Over the past decade, the focus on omega (ω)-3 fatty acids from microalgae has intensified due to their diverse health benefits. Bioprocess optimization has notably increased ω-3 fatty acid yields, yet understanding of the genetic architecture and metabolic pathways of high-yielding strains remains limited. Leveraging genomics, transcriptomics, proteomics, and metabolomics tools can provide vital system-level insights into native ω-3 fatty acid-producing microalgae, further boosting production. In this review, we explore ‘omics’ studies uncovering alternative pathways for ω-3 fatty acid synthesis and genome-wide regulation in response to cultivation parameters. We also emphasize potential targets to fine-tune in order to enhance yield. Despite progress, an integrated omics platform is essential to overcome current bottlenecks in optimizing the process for ω-3 fatty acid production from microalgae, advancing this crucial field.

Place, publisher, year, edition, pages
Elsevier, 2024. Vol. 29, no 7, p. 799-813
Keywords [en]
bioprocess, genomics, metabolomics, synthetic biology, transcriptomics
National Category
Biochemistry and Molecular Biology
Research subject
Biochemical Process Engineering
Identifiers
URN: urn:nbn:se:ltu:diva-104361DOI: 10.1016/j.tplants.2024.01.002ISI: 001265637800001PubMedID: 38350829Scopus ID: 2-s2.0-85184801441OAI: oai:DiVA.org:ltu-104361DiVA, id: diva2:1839975
Note

Validerad;2024;Nivå 2;2024-08-16 (marisr);

Funder: Kempestiftelserna (2020-01028, JCK-2115);

Full text license: CC BY

Available from: 2024-02-22 Created: 2024-02-22 Last updated: 2024-08-16Bibliographically approved

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Mariam, IqraRova, UlrikaChristakopoulos, PaulMatsakas, LeonidasPatel, Alok

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