Next generation sequencing of STR artifacts produced from historical bone samples.

STR artifacts are commonly observed in electrophoretic data and can complicate interpretation of the profiles produced. Even when a consensus approach is applied, reproducible artifacts have the potential to convolute the analysis. DNA obtained from historical bone samples is often heavily degraded and damaged, requiring the use of more sensitive procedures to increase allele recovery. Additionally, skeletal remains exposed to environmental conditions may be afflicted with microbial DNA contamination that cross-reacts with the primers during short tandem repeat (STR) multiplex amplification. STR artifacts manifested as a result of these circumstances can be sourced and characterized using new sequencing technologies to potentially ease the analysis burden. For this study, PCR product from 17 low-quality bone samples exhibiting reproducible autosomal and Y-chromosomal STR (Y-STR) artifacts in capillary electrophoresis (CE) data were sequenced with next generation sequencing (NGS). Sequenced reads were bioinformatically sorted using STRait Razor to determine the authenticity of alleles and confirm the profile generated by CE. Sequence data from the PCR products and a subset of the associated extracts were further analyzed with Kaiju to classify the microbial species present and identify potential sources of artifact peaks. A suspected Y-STR artifact was similar in sequence to Pseudomonas sp. BAY1663, a species ubiquitously found in soil. Regions of homology were observed between the Pseudomonas genome and the presumed primer binding locations for Y-STRs included in the AmpFlSTR Y-Filer STR kit. Characterization of such supposed artifact peaks may aid in interpretation of CE data and ultimately lead to increased confidence in the reported results.