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© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.

Abstract

Adaptive laboratory evolution (ALE) has been widely utilized as a tool for developing new biological and phenotypic functions to explore strain improvement for microalgal production. Specifically, ALE has been utilized to evolve strains to better adapt to defined conditions. It has become a new solution to improve the performance of strains in microalgae biotechnology. This review mainly summarizes the key results from recent microalgal ALE studies in industrial production. ALE designed for improving cell growth rate, product yield, environmental tolerance and wastewater treatment is discussed to exploit microalgae in various applications. Further development of ALE is proposed, to provide theoretical support for producing the high value-added products from microalgal production.

Details

Title
Application of Microalgal Stress Responses in Industrial Microalgal Production Systems
Author
Wang, Jia 1 ; Wang, Yuxin 1 ; Wu, Yijian 2 ; Fan, Yuwei 1 ; Zhu, Changliang 1 ; Fu, Xiaodan 3 ; Chu, Yawen 4 ; Chen, Feng 5   VIAFID ORCID Logo  ; Sun, Han 1 ; Mou, Haijin 1 

 College of Food Science and Engineering, Ocean University of China, Qingdao 266003, China; [email protected] (J.W.); [email protected] (Y.W.); [email protected] (Y.F.); [email protected] (C.Z.) 
 School of Foreign Languages, Lianyungang Technical College, Lianyungang 222000, China; [email protected] 
 State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang 330047, China; [email protected] 
 Heze Zonghoo Jianyuan Biotech Co., Ltd, Heze 274000, China; [email protected] 
 Institute for Advanced Study, Shenzhen University, Shenzhen 518060, China; [email protected] 
First page
30
Publication year
2022
Publication date
2022
Publisher
MDPI AG
e-ISSN
16603397
Source type
Scholarly Journal
Language of publication
English
ProQuest document ID
2621312857
Copyright
© 2021 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/). Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License.