Genome-wide identification and characterisation of human DNA replication origins by initiation site sequencing (ini-seq)
journal contributionposted on 2020-08-20, 16:29 authored by Alexander R Langley, Stefan Gräf, James C Smith, Torsten Krude
Next-generation sequencing has enabled the genome-wide identification of human DNA replication origins. However, different approaches to mapping replication origins, namely (i) sequencing isolated small nascent DNA strands (SNS-seq); (ii) sequencing replication bubbles (bubble-seq) and (iii) sequencing Okazaki fragments (OK-seq), show only limited concordance. To address this controversy, we describe here an independent high-resolution origin mapping technique that we call initiation site sequencing (ini-seq). In this approach, newly replicated DNA is directly labelled with digoxigenin-dUTP near the sites of its initiation in a cell-free system. The labelled DNA is then immunoprecipitated and genomic locations are determined by DNA sequencing. Using this technique we identify >25,000 discrete origin sites at sub-kilobase resolution on the human genome, with high concordance between biological replicates. Most activated origins identified by ini-seq are found at transcriptional start sites and contain G-quadruplex (G4) motifs. They tend to cluster in early-replicating domains, providing a correlation between early replication timing and local density of activated origins. Origins identified by ini-seq show highest concordance with sites identified by SNS-seq, followed by OK-seq and bubble-seq. Furthermore, germline origins identified by positive nucleotide distribution skew jumps overlap with origins identified by ini-seq and OK-seq more frequently and more specifically than do sites identified by either SNS-seq or bubble-seq.
Cell Line, TumorChromosome MappingComputational BiologyDNADNA ReplicationGenome, HumanGenomicsHigh-Throughput Nucleotide SequencingHumansNucleotide MotifsReplication OriginSequence Analysis, DNATranscription Initiation SiteSmith FC001157AS-ack05 Environmental Sciences06 Biological Sciences08 Information and Computing SciencesDevelopmental Biology