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Genome shuffling for phenotypic improvement of industrial strains through recursive protoplast fusion technology

原生质体 基因组 拉伤 生物 洗牌 遗传学 计算生物学 全基因组测序 表型 生物技术 基因 计算机科学 解剖 程序设计语言
作者
Ravichandra Hospet,Devarajan Thangadurai,Natália Martins,Jeyabalan Sangeetha,K. A. Anu Appaiah,Zaira Zaman Chowdhury,Namita Bedi,Kasem Soytong,Abdel Rahman Al-Tawaha,Shoukat Jabeen,Misbah Mubeen Tallur
出处
期刊:Critical Reviews in Food Science and Nutrition [Taylor & Francis]
卷期号:63 (17): 2960-2969 被引量:22
标识
DOI:10.1080/10408398.2021.1983763
摘要

Strains' improvement technology plays an essential role in enhancing the quality of industrial strains. Several traditional methods and modern techniques have been used to further improve strain engineering programs. The advances stated in strain engineering and the increasing demand for microbial metabolites leads to the invention of the genome shuffling technique, which ensures a specific phenotype improvement through inducing mutation and recursive protoplast fusion. In such technique, the selection of multi-parental strains with distinct phenotypic traits is crucial. In addition, as this evolutionary strain improvement technique involves combinative approaches, it does not require any gene sequence data for genome alteration and, therefore, strains developed by this elite technique will not be considered as genetically modified organisms. In this review, the different stages involved in the genome shuffling technique and its wide applications in various phenotype improvements will be addressed. Taken together, data discussed here highlight that the use of genome shuffling for strain improvement will be a plus for solving complex phenotypic traits and in promoting the rapid development of other industrially important strains.
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