Repair of DNA damage caused by cytosine deamination in mitochondrial DNA of forensic case samples

DNA sequence damage from cytosine deamination is well documented in degraded samples, such as those from ancient and forensic contexts. This study examined the effect of a DNA repair treatment on mitochondrial DNA (mtDNA) from aged and degraded skeletal samples. DNA extracts from 21 non-probative, degraded skeletal samples (aged 50-70 years) were utilized for the analysis. A portion of each sample extract was subjected to DNA repair using a commercial repair kit, the New England BioLabs' NEBNext FFPE DNA Repair Kit (Ipswich, MA). MtDNA was enriched using PCR and targeted capture in a side-by-side experiment of untreated and repaired DNA. Sequencing was performed using both traditional (Sanger-type; STS) and next-generation sequencing (NGS) methods Although cytosine deamination was evident in the mtDNA sequence data, the observed level of damaged bases varied by sequencing method as well as by enrichment type. The STS PCR amplicon data did not show evidence of cytosine deamination that could be distinguished from background signal in either the untreated or repaired sample set. However, the same PCR amplicons showed 850 C -> T/G -> A substitutions consistent with cytosine deamination with variant frequencies (VFs) of up to 25% when sequenced using NGS methods The occurrence of base misincorporation due to cytosine deamination was reduced by 98% (to 10) in the NGS amplicon data after repair. The NGS capture data indicated low levels (1-2%) of cytosine deamination in mtDNA fragments that was effectively mitigated by DNA repair. The observed difference in the level of cytosine deamination between the PCR and capture enrichment methods can be attributed to the greater propensity for stochastic effects from the PCR enrichment technique employed (e.g., low template input, increased PCR cycles). Altogether these results indicate that DNA repair may be required when sequencing PCR-amplified DNA from degraded forensic case samples with NGS methods.