线粒体DNA
生物
否定选择
遗传学
基因
突变
生殖系
选择(遗传算法)
传输(电信)
基因组
人工智能
计算机科学
电气工程
工程类
作者
Yanfei Ru,Xiaoling Deng,Jiatong Chen,Leping Zhang,Zhe Xu,Qunyu Lv,Stephen B. Long,Zijian Huang,Minghua Kong,Jing Guo,Min Jiang
出处
期刊:Nature Aging
日期:2024-07-29
标识
DOI:10.1038/s43587-024-00672-6
摘要
Mitochondrial diseases, caused mainly by pathogenic mitochondrial DNA (mtDNA) mutations, pose major challenges due to the lack of effective treatments. Investigating the patterns of maternal transmission of mitochondrial diseases could pave the way for preventive approaches. In this study, we used DddA-derived cytosine base editors (DdCBEs) to generate two mouse models, each haboring a single pathogenic mutation in complex I genes (ND1 and ND5), replicating those found in human patients. Our findings revealed that both mutations are under strong purifying selection during maternal transmission and occur predominantly during postnatal oocyte maturation, with increased protein synthesis playing a vital role. Interestingly, we discovered that maternal age intensifies the purifying selection, suggesting that older maternal age may offer a protective effect against the transmission of deleterious mtDNA mutations, contradicting the conventional notion that maternal age correlates with increased transmitted mtDNA mutations. As collecting comprehensive clinical data is needed to understand the relationship between maternal age and transmission patterns in humans, our findings may have profound implications for reproductive counseling of mitochondrial diseases, especially those involving complex I gene mutations. Mitochondrial DNA mutations are subject to purifying selection in the female germline, limiting the transmission of pathogenic variants. In this study, the authors used two mouse models that harbor pathogenic mutations in mitochondrial complex I and observed that maternal age intensifies purifying selection processes.
科研通智能强力驱动
Strongly Powered by AbleSci AI