a Laboratory of Genomic Integrity , National Institute of Child Health and Human Development, National Institutes of Health , Bethesda , MD , USA.
Crit Rev Biochem Mol Biol. 2018 Aug;53(4):382-402. doi: 10.1080/10409238.2018.1483889. Epub 2018 Jul 4.
The well-being of all living organisms relies on the accurate duplication of their genomes. This is usually achieved by highly elaborate replicase complexes which ensure that this task is accomplished timely and efficiently. However, cells often must resort to the help of various additional "specialized" DNA polymerases that gain access to genomic DNA when replication fork progression is hindered. One such specialized polymerase family consists of the so-called "translesion synthesis" (TLS) polymerases; enzymes that have evolved to replicate damaged DNA. To fulfill their main cellular mission, TLS polymerases often must sacrifice precision when selecting nucleotide substrates. Low base-substitution fidelity is a well-documented inherent property of these enzymes. However, incorrect nucleotide substrates are not only those which do not comply with Watson-Crick base complementarity, but also those whose sugar moiety is incorrect. Does relaxed base-selectivity automatically mean that the TLS polymerases are unable to efficiently discriminate between ribonucleoside triphosphates and deoxyribonucleoside triphosphates that differ by only a single atom? Which strategies do TLS polymerases employ to select suitable nucleotide substrates? In this review, we will collate and summarize data accumulated over the past decade from biochemical and structural studies, which aim to answer these questions.
所有生物的福祉都依赖于基因组的准确复制。这通常是通过高度精细的复制酶复合物来实现的,以确保这项任务能够及时、高效地完成。然而,当复制叉推进受阻时,细胞通常必须求助于各种额外的“专门”的 DNA 聚合酶,这些聚合酶可以获得基因组 DNA 的访问权限。专门的聚合酶家族之一是所谓的“跨损伤合成”(TLS)聚合酶,这些酶是为复制受损 DNA 而进化而来的。为了完成其主要的细胞任务,TLS 聚合酶在选择核苷酸底物时常常不得不牺牲准确性。低碱基替换保真度是这些酶的一个有据可查的固有特性。然而,不正确的核苷酸底物不仅是那些不符合 Watson-Crick 碱基互补的底物,还有那些糖部分不正确的底物。宽松的碱基选择性是否自动意味着 TLS 聚合酶无法有效地区分仅相差一个原子的核糖核苷酸三磷酸和脱氧核苷酸三磷酸?TLS 聚合酶采用哪些策略来选择合适的核苷酸底物?在这篇综述中,我们将整理和总结过去十年来自生化和结构研究的数据,旨在回答这些问题。