DNA mismatch and damage patterns revealed by single-molecule sequencing.
Mei Hong LiuBenjamin M CostaEmilia C BianchiniUna E ChoiRachel C BandlerEmilie LassenMarta Grońska-PęskiAdam SchwingZachary R MurphyDaniel RosenkjærShany PicciottoVanessa BianchiLucie StengsMelissa EdwardsNuno Miguel NunesCaitlin A LohTina K TruongRandall E BrandTomi PastinenJ Richard WagnerAnne-Bine SkytteUri TaboriJonathan E ShoagGilad D EvronyPublished in: Nature (2024)
Mutations accumulate in the genome of every cell of the body throughout life, causing cancer and other diseases 1,2 . Most mutations begin as nucleotide mismatches or damage in one of the two strands of the DNA before becoming double-strand mutations if unrepaired or misrepaired 3,4 . However, current DNA-sequencing technologies cannot accurately resolve these initial single-strand events. Here we develop a single-molecule, long-read sequencing method (Hairpin Duplex Enhanced Fidelity sequencing (HiDEF-seq)) that achieves single-molecule fidelity for base substitutions when present in either one or both DNA strands. HiDEF-seq also detects cytosine deamination-a common type of DNA damage-with single-molecule fidelity. We profiled 134 samples from diverse tissues, including from individuals with cancer predisposition syndromes, and derive from them single-strand mismatch and damage signatures. We find correspondences between these single-strand signatures and known double-strand mutational signatures, which resolves the identity of the initiating lesions. Tumours deficient in both mismatch repair and replicative polymerase proofreading show distinct single-strand mismatch patterns compared to samples that are deficient in only polymerase proofreading. We also define a single-strand damage signature for APOBEC3A. In the mitochondrial genome, our findings support a mutagenic mechanism occurring primarily during replication. As double-strand DNA mutations are only the end point of the mutation process, our approach to detect the initiating single-strand events at single-molecule resolution will enable studies of how mutations arise in a variety of contexts, especially in cancer and ageing.