Suppr超能文献

Srs2通过破坏DNA聚合酶δ延伸的D环来促进合成依赖性链退火。

Srs2 promotes synthesis-dependent strand annealing by disrupting DNA polymerase δ-extending D-loops.

作者信息

Liu Jie, Ede Christopher, Wright William D, Gore Steven K, Jenkins Shirin S, Freudenthal Bret D, Todd Washington M, Veaute Xavier, Heyer Wolf-Dietrich

机构信息

Department of Microbiology and Molecular Genetics, University of California, Davis, Davis, United States.

Department of Biochemistry, University of Iowa Carver College of Medicine, Iowa City, United States.

出版信息

Elife. 2017 May 23;6:e22195. doi: 10.7554/eLife.22195.

Abstract

Synthesis-dependent strand annealing (SDSA) is the preferred mode of homologous recombination in somatic cells leading to an obligatory non-crossover outcome, thus avoiding the potential for chromosomal rearrangements and loss of heterozygosity. Genetic analysis identified the Srs2 helicase as a prime candidate to promote SDSA. Here, we demonstrate that Srs2 disrupts D-loops in an ATP-dependent fashion and with a distinct polarity. Specifically, we partly reconstitute the SDSA pathway using Rad51, Rad54, RPA, RFC, DNA Polymerase δ with different forms of PCNA. Consistent with genetic data showing the requirement for SUMO and PCNA binding for the SDSA role of Srs2, Srs2 displays a slight but significant preference to disrupt extending D-loops over unextended D-loops when SUMOylated PCNA is present, compared to unmodified PCNA or monoubiquitinated PCNA. Our data establish a biochemical mechanism for the role of Srs2 in crossover suppression by promoting SDSA through disruption of extended D-loops.

摘要

合成依赖链退火(SDSA)是体细胞中同源重组的首选模式,会导致必然的非交叉结果,从而避免染色体重排和杂合性丧失的可能性。遗传分析确定Srs2解旋酶是促进SDSA的主要候选者。在此,我们证明Srs2以ATP依赖的方式并具有独特的极性破坏D环。具体而言,我们使用Rad51、Rad54、RPA、RFC、具有不同形式PCNA的DNA聚合酶δ部分重建了SDSA途径。与遗传数据表明Srs2的SDSA作用需要SUMO和PCNA结合一致,与未修饰的PCNA或单泛素化的PCNA相比,当存在SUMO化的PCNA时,Srs2在破坏延伸的D环而非未延伸的D环方面表现出轻微但显著倾向。我们的数据通过破坏延伸的D环促进SDSA,为Srs2在交叉抑制中的作用建立了生化机制。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/b190/5441872/443673181fba/elife-22195-fig1.jpg

文献AI研究员

20分钟写一篇综述,助力文献阅读效率提升50倍。

立即体验

用中文搜PubMed

大模型驱动的PubMed中文搜索引擎

马上搜索

文档翻译

学术文献翻译模型,支持多种主流文档格式。

立即体验