Article (Scientific journals)
Enhancing algal production strategies: strain selection, AI-informed cultivation, and mutagenesis
Amnah Salem Jumah Mohamed Alzahmi; Daakour, Sarah; Nelson, David et al.
2024In Frontiers in Sustainable Food Systems, 8
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Keywords :
artificial intelligence; bioprospecting; microalgae; strain selection; ultraviolet (UV) mutagenesis
Abstract :
[en] Microalgae are emerging as a sustainable source of bioproducts, including food, animal feed, nutraceuticals, and biofuels. This review emphasizes the need to carefully select suitable species and highlights the importance of strain optimization to enhance the feasibility of developing algae as a sustainable resource for food and biomaterial production. It discusses microalgal bioprospecting methods, different types of cultivation systems, microalgal biomass yields, and cultivation using wastewater. The paper highlights advances in artificial intelligence that can optimize algal productivity and overcome the limitations faced in current microalgal industries. Additionally, the potential of UV mutagenesis combined with high-throughput screening is examined as a strategy for generating improved strains without introducing foreign genetic material. The necessity of a multifaceted optimization approach for enhanced productivity is acknowledged. This review provides an overview of recent developments crucial for the commercial success of microalgal production.
Precision for document type :
Review article
Disciplines :
Life sciences: Multidisciplinary, general & others
Author, co-author :
Amnah Salem Jumah Mohamed Alzahmi ;  Université de Liège - ULiège > TERRA Research Centre ; Université de Liège - ULiège > Gembloux Agro-Bio Tech > Gembloux Agro-Bio Tech ; Laboratory of Algal, Synthetic, and Systems Biology > Division of Science > New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
Daakour, Sarah ;  Université de Liège - ULiège > Agronomie, Bio-ingénierie et Chimie (AgroBioChem) > Biologie cellulaire et moléculaire ; Laboratory of Algal, Synthetic, and Systems Biology, Division of Science, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
Nelson, David;  Laboratory of Algal, Synthetic, and Systems Biology, Division of Science, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
Al-Khairy, Dina;  Laboratory of Algal, Synthetic, and Systems Biology, Division of Science, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
Twizere, Jean-Claude  ;  Université de Liège - ULiège > GIGA > GIGA Molecular Biology of Diseases - Viral Interactomes Network ; Laboratory of Algal, Synthetic, and Systems Biology, Division of Science, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
Salehi-Ashtiani, Kourosh;  Laboratory of Algal, Synthetic, and Systems Biology, Division of Science, New York University Abu Dhabi, Abu Dhabi, United Arab Emirates
Language :
English
Title :
Enhancing algal production strategies: strain selection, AI-informed cultivation, and mutagenesis
Publication date :
23 February 2024
Journal title :
Frontiers in Sustainable Food Systems
eISSN :
2571-581X
Publisher :
Frontiers Media SA
Volume :
8
Peer reviewed :
Peer Reviewed verified by ORBi
Funding text :
The author(s) declare financial support was received for the research, authorship, and/or publication of this article. This work was supported by NYUAD Faculty Research Funds (AD060).
Available on ORBi :
since 25 April 2024

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