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Diff-seq: A high throughput sequencing-based mismatch detection assay for DNA variant enrichment and discovery
Author(s) -
Dimitra Aggeli,
Vlad O. Karas,
Nicholas A. SinnottArmstrong,
Vici Varghese,
Robert W. Shafer,
William J. Greenleaf,
Gavin Sherlock
Publication year - 2018
Publication title -
nucleic acids research
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 9.008
H-Index - 537
eISSN - 1362-4954
pISSN - 0305-1048
DOI - 10.1093/nar/gky022
Subject(s) - biology , computational biology , genetics , dna sequencing , dna microarray , genome , context (archaeology) , molecular inversion probe , reference genome , dna , snp genotyping , single nucleotide polymorphism , gene , genotype , paleontology , gene expression
Much of the within species genetic variation is in the form of single nucleotide polymorphisms (SNPs), typically detected by whole genome sequencing (WGS) or microarray-based technologies. However, WGS produces mostly uninformative reads that perfectly match the reference, while microarrays require genome-specific reagents. We have developed Diff-seq, a sequencing-based mismatch detection assay for SNP discovery without the requirement for specialized nucleic-acid reagents. Diff-seq leverages the Surveyor endonuclease to cleave mismatched DNA molecules that are generated after cross-annealing of a complex pool of DNA fragments. Sequencing libraries enriched for Surveyor-cleaved molecules result in increased coverage at the variant sites. Diff-seq detected all mismatches present in an initial test substrate, with specific enrichment dependent on the identity and context of the variation. Application to viral sequences resulted in increased observation of variant alleles in a biologically relevant context. Diff-Seq has the potential to increase the sensitivity and efficiency of high-throughput sequencing in the detection of variation.

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