适应性进化
生物
适应(眼睛)
选择(遗传算法)
实验进化
定向分子进化
进化生物学
生化工程
定向进化
计算生物学
计算机科学
遗传学
工程类
突变体
基因
人工智能
神经科学
作者
Aiqin Shi,Fan Feng,James R. Broach
出处
期刊:Journal of Industrial Microbiology & Biotechnology
[Oxford University Press]
日期:2021-10-21
卷期号:49 (2)
被引量:16
摘要
Bacterial species can adapt to significant changes in their environment by mutation followed by selection, a phenomenon known as "adaptive evolution." With the development of bioinformatics and genetic engineering, research on adaptive evolution has progressed rapidly, as have applications of the process. In this review, we summarize various mechanisms of bacterial adaptive evolution, the technologies used for studying it, and successful applications of the method in research and industry. We particularly highlight the contributions of Dr. L. O. Ingram. Microbial adaptive evolution has significant impact on our society not only from its industrial applications, but also in the evolution, emergence, and control of various pathogens.
科研通智能强力驱动
Strongly Powered by AbleSci AI