可进化性
计算生物学
生物
突变
合成生物学
表型
调节器
遗传学
基因
质粒
遗传建筑学
合理设计
重组工程
突变
定向诱变
基因调控网络
模式生物
基因组
实验进化
系统生物学
基因组编辑
钥匙(锁)
遗传适应性
基因表达调控
建筑
计算机科学
基因缺失
稳健性(进化)
设计要素和原则
编码(社会科学)
调节顺序
作者
Ximing Li,András György
标识
DOI:10.1038/s41467-025-67995-9
摘要
Abstract Genetic modules are often designed and implemented with inspiration from engineering disciplines. Although this approach can be successful because of the similarities underpinning physical and biochemical systems, it neglects a key factor that affects the performance of living organisms: evolution. Thus, it is crucial to incorporate the impact of inevitable mutations into the design and analysis of genetic modules. Combining computational modeling and in vivo mutagenesis experiments in Escherichia coli , we characterize how the interplay of gene dosage via plasmid copy number (PCN) and regulatory architecture affect the phenotypic mutation rate. For example, while greater PCN facilitates the emergence of gain-of-function mutations, it instead curbs the spread of loss-of-function mutations. We further reveal that mutations in the coding region are often masked at the phenotypic level, unlike those occurring in the regulatory region which become more prominent as PCN increases, both when the regulator is expressed constitutively and when it is self-repressed. Together, our results shed light on evolutionary organizing principles and aid the rational design of both evolutionarily stable and highly evolvable biocircuits.
科研通智能强力驱动
Strongly Powered by AbleSci AI