气候变化领域集成服务门户(CCPortal): Perspective: Multiomics and Machine Learning Help Unleash the Alternative Food Potential of Microalgae

CCPortal

DOI	10.1016/j.advnut.2022.11.002
	Perspective: Multiomics and Machine Learning Help Unleash the Alternative Food Potential of Microalgae
	Helmy, Mohamed; Elhalis, Hosam; Liu, Yan; Chow, Yvonne; Selvarajoo, Kumar
发表日期	2023
ISSN	2161-8313
EISSN	2156-5376
起始页码	1
结束页码	11
卷号	14 期号:1
英文摘要	Food security has become a pressing issue in the modern world. The ever-increasing world population, ongoing COVID-19 pandemic, and political conflicts together with climate change issues make the problem very challenging. Therefore, fundamental changes to the current food system and new sources of alternative food are required. Recently, the exploration of alternative food sources has been supported by numerous governmental and research organizations, as well as by small and large commercial ventures. Microalgae are gaining momentum as an effective source of alternative laboratory-based nutritional proteins as they are easy to grow under variable environmental conditions, with the added advantage of absorbing carbon dioxide. Despite their attractiveness, the utilization of microalgae faces several practical limitations. Here, we discuss both the potential and challenges of microalgae in food sustainability and their possible long-term contribution to the circular economy of converting food waste into feed via modern methods. We also argue that systems biology and artificial intel-ligence can play a role in overcoming some of the challenges and limitations; through data-guided metabolic flux optimization, and by systematically increasing the growth of the microalgae strains without negative outcomes, such as toxicity. This requires microalgae da-tabases rich in omics data and further developments on its mining and analytics methods.
英文关键词	microalgae; omics; machine learning; alternative proteins; systems biology
语种	英语
WOS研究方向	Nutrition & Dietetics
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000945065400001
来源期刊	ADVANCES IN NUTRITION
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/281355
作者单位	Agency for Science Technology & Research (ASTAR); ASTAR - Bioinformatics Institute (BII); Lakehead University; Agency for Science Technology & Research (ASTAR); Agency for Science Technology & Research (ASTAR); National University of Singapore; Nanyang Technological University
推荐引用方式 GB/T 7714	Helmy, Mohamed,Elhalis, Hosam,Liu, Yan,et al. Perspective: Multiomics and Machine Learning Help Unleash the Alternative Food Potential of Microalgae[J],2023,14(1).
APA	Helmy, Mohamed,Elhalis, Hosam,Liu, Yan,Chow, Yvonne,&Selvarajoo, Kumar.(2023).Perspective: Multiomics and Machine Learning Help Unleash the Alternative Food Potential of Microalgae.ADVANCES IN NUTRITION,14(1).
MLA	Helmy, Mohamed,et al."Perspective: Multiomics and Machine Learning Help Unleash the Alternative Food Potential of Microalgae".ADVANCES IN NUTRITION 14.1(2023).