Department of Plant Pathology, Kansas State University, 1712 Claflin Road, Throckmorton Hall, Manhattan, KS 66506, United States.
FEMS Microbiol Rev. 2022 Nov 2;46(6). doi: 10.1093/femsre/fuac035.
DNA double-strand breaks require repair or risk corrupting the language of life. To ensure genome integrity and viability, multiple DNA double-strand break repair pathways function in eukaryotes. Two such repair pathways, canonical non-homologous end joining and homologous recombination, have been extensively studied, while other pathways such as microhomology-mediated end joint and single-strand annealing, once thought to serve as back-ups, now appear to play a fundamental role in DNA repair. Here, we review the molecular details and hierarchy of these four DNA repair pathways, and where possible, a comparison for what is known between animal and fungal models. We address the factors contributing to break repair pathway choice, and aim to explore our understanding and knowledge gaps regarding mechanisms and regulation in filamentous pathogens. We additionally discuss how DNA double-strand break repair pathways influence genome engineering results, including unexpected mutation outcomes. Finally, we review the concept of biased genome evolution in filamentous pathogens, and provide a model, termed Biased Variation, that links DNA double-strand break repair pathways with properties of genome evolution. Despite our extensive knowledge for this universal process, there remain many unanswered questions, for which the answers may improve genome engineering and our understanding of genome evolution.
DNA 双链断裂需要修复,否则会破坏生命的“语言”。为了确保基因组的完整性和生存能力,真核生物中存在多种 DNA 双链断裂修复途径。两种这样的修复途径,即规范的非同源末端连接和同源重组,已经得到了广泛的研究,而其他途径,如微同源介导的末端连接和单链退火,曾经被认为是备份途径,现在似乎在 DNA 修复中起着至关重要的作用。在这里,我们回顾了这四种 DNA 修复途径的分子细节和层次结构,并在可能的情况下,对动物和真菌模型之间已知的内容进行了比较。我们讨论了导致断裂修复途径选择的因素,并旨在探讨我们对丝状病原体中机制和调控的理解和知识空白。我们还讨论了 DNA 双链断裂修复途径如何影响基因组工程的结果,包括意外的突变结果。最后,我们回顾了丝状病原体中偏向性基因组进化的概念,并提出了一个模型,称为“偏向性变异”,该模型将 DNA 双链断裂修复途径与基因组进化的特性联系起来。尽管我们对这个普遍的过程有了广泛的了解,但仍有许多悬而未决的问题,这些问题的答案可能会改善基因组工程和我们对基因组进化的理解。