The impact of common PCR inhibitors on forensic MPS analysis

Massively parallel sequencing holds great promise for new possibilities in the field of forensic genetics, enabling simultaneous analysis of multiple markers as well as offering enhanced short tandem repeat allele resolution. A challenge in forensic DNA analysis is that the samples often contain low amounts of DNA in a background that may interfere with downstream analysis. PCR inhibition mechanisms of some relevant molecules have been studied applying e.g. real-time PCR and digital PCR. However, a detailed understanding of the effects of inhibitory molecules on forensic MPS, including mechanisms and ways to relieve inhibition, is missing. In this study, the effects of two well-characterized PCR inhibitors, humic acid and hematin, have been studied using the ForenSeq DNA Signature Prep kit. Humic acid and hematin resulted in lowered read numbers as well as specific negative effects on certain markers. Quality control of libraries with Fragment analyzer showed that increasing amounts of inhibitors caused a lowered amplicon quantity and that the larger amplicons were more likely to drop out. Further, the inhibitor tolerance could be improved 5–10 times by addition of bovine serum albumin in the initial PCR. On the contrary to the samples with inhibitors, low-template samples resulted in lowered read numbers for all markers. This difference strengthened the conclusion that the inhibitors have a negative effect on the DNA polymerase activity in the initial PCR. Additionally, a common capillary gel electrophoresis-based STR kit was shown to handle at least 200 times more inhibitors than the ForenSeq DNA Signature Prep kit. This suggests that there is room for improvement of the PCR components to ensure analytical success for challenging samples, which is needed for a broad application of MPS for forensic STR analysis

Inhibition mechanisms of hemoglobin, immunoglobulin G, and whole blood in digital and real-time PCR

Blood samples are widely used for PCR-based DNA analysis in fields such as diagnosis of infectious diseases, cancer diagnostics, and forensic genetics. In this study, the mechanisms behind blood-induced PCR inhibition were evaluated by use of whole blood as well as known PCR-inhibitory molecules in both digital PCR and real-time PCR. Also, electrophoretic mobility shift assay was applied to investigate interactions between inhibitory proteins and DNA, and isothermal titration calorimetry was used to directly measure effects on DNA polymerase activity. Whole blood caused a decrease in the number of positive digital PCR reactions, lowered amplification efficiency, and caused severe quenching of the fluorescence of the passive reference dye 6-carboxy-X-rhodamine as well as the double-stranded DNA binding dye EvaGreen. Immunoglobulin G was found to bind to single-stranded genomic DNA, leading to increased quantification cycle values. Hemoglobin affected the DNA polymerase activity and thus lowered the amplification efficiency. Hemoglobin and hematin were shown to be the molecules in blood responsible for the fluorescence quenching. In conclusion, hemoglobin and immunoglobulin G are the two major PCR inhibitors in blood, where the first affects amplification through a direct effect on the DNA polymerase activity and quenches the fluorescence of free dye molecules, and the latter binds to single-stranded genomic DNA, hindering DNA polymerization in the first few PCR cycles. [Figure not available: see fulltext.

Accurate Digital Polymerase Chain Reaction Quantification of Challenging Samples Applying Inhibitor-Tolerant DNA Polymerases

Digital PCR (dPCR) enables absolute quantification of nucleic acids by partitioning of the sample into hundreds or thousands of minute reactions. By assuming a Poisson distribution for the number of DNA fragments present in each chamber, the DNA concentration is determined without the need for a standard curve. However, when analyzing nucleic acids from complex matrixes such as soil and blood, the dPCR quantification can be biased due to the presence of inhibitory compounds. In this study, we evaluated the impact of varying the DNA polymerase in chamber-based dPCR for both pure and impure samples using the common PCR inhibitor humic acid (HA) as a model. We compared the TaqMan Universal PCR Master Mix with two alternative DNA polymerases: ExTaq HS and Immolase. By using Bayesian modeling, we show that there is no difference among the tested DNA polymerases in terms of accuracy of absolute quantification for pure template samples, i.e., without HA present. For samples containing HA, there were great differences in performance: the TaqMan Universal PCR Master Mix failed to correctly quantify DNA with more than 13 pg/nL HA, whereas Immolase (1 U) could handle up to 375 pg/nL HA. Furthermore, we found that BSA had a moderate positive effect for the TaqMan Universal PCR Master Mix, enabling accurate quantification for 25 pg/nL HA. Increasing the amount of DNA polymerase from 1 to 5 U had a strong effect for ExTaq HS, elevating HA-tolerance four times. We also show that the average Cq values of positive reactions may be used as a measure of inhibition effects, e.g., to determine whether or not a dPCR quantification result is reliable. The statistical models developed to objectively analyze the data may also be applied in quality control. We conclude that the choice of DNA polymerase in dPCR is crucial for the accuracy of quantification when analyzing challenging samples

Ultrasensitive sequencing of STR markers utilizing unique molecular identifiers and the SiMSen-Seq method

Massively parallel sequencing (MPS) is increasingly applied in forensic short tandem repeat (STR) analysis. The presence of stutter artefacts and other PCR or sequencing errors in the MPS-STR data partly limits the detection of low DNA amounts, e.g., in complex mixtures. Unique molecular identifiers (UMIs) have been applied in several scientific fields to reduce noise in sequencing. UMIs consist of a stretch of random nucleotides, a unique barcode for each starting DNA molecule, that is incorporated in the DNA template using either ligation or PCR. The barcode is used to generate consensus reads, thus removing errors. The SiMSen-Seq (Simple, multiplexed, PCR-based barcoding of DNA for sensitive mutation detection using sequencing) method relies on PCR-based introduction of UMIs and includes a sophisticated hairpin design to reduce unspecific primer binding as well as PCR protocol adjustments to further optimize the reaction. In this study, SiMSen-Seq is applied to develop a proof-of-concept seven STR multiplex for MPS library preparation and an associated bioinformatics pipeline. Additionally, machine learning (ML) models were evaluated to further improve UMI allele calling. Overall, the seven STR multiplex resulted in complete detection and concordant alleles for 47 single-source samples at 1 ng input DNA as well as for low-template samples at 62.5 pg input DNA. For twelve challenging mixtures with minor contributions of 10 pg to 150 pg and ratios of 1–15% relative to the major donor, 99.2% of the expected alleles were detected by applying the UMIs in combination with an ML filter. The main impact of UMIs was a substantially lowered number of artefacts as well as reduced stutter ratios, which were generally below 5% of the parental allele. In conclusion, UMI-based STR sequencing opens new means for improved analysis of challenging crime scene samples including complex mixtures. © 2024 The AuthorsWe thank Froste Svensson for input on the bioinformatics pipeline and Nelly Gyll\u00F6 Lind and Markus Andr\u00E9 Soma for practical assistance in pre-studies. This study was funded by VINNOVA: Project title \u201CUltrak\u00E4nsliga analyser f\u00F6r b\u00E4ttre h\u00E4lsa och kriminalteknik (ULTRA-UDI)\u201D and reference number 2020\u201304141, and V\u00E4stra G\u00F6talandsregionen RUN 2021\u201300059. Anders St\u00E5hlberg was funded by Region V\u00E4stra G\u00F6taland; Swedish Cancer Society [22\u20132080]; Swedish Childhood Cancer Foundation [2022\u20130030]; Swedish Research Council [2021\u201301008]; the Swedish state under the agreement between the Swedish government and the county councils, the ALF-agreement [965065]; Sweden's Innovation Agency [2018\u201300421, 2020\u201304141] and the Sj\u00F6berg Foundation. Points of view in this document are those of the NIST-affiliated authors and do not necessarily represent the official position or policies of the U.S. Department of Commerce. Certain equipment, instruments, software, or materials are identified in this paper to specify the experimental procedure adequately. Such identification is not intended to imply recommendation or endorsement of any product or service by NIST, nor is it intended to imply that the materials or equipment identified are necessarily the best available for the purpose. All work performed at NIST has been reviewed and approved by the U. S. National Institute of Standards and Technology Research Protections Office. This study was determined to be \u201Cnot human subjects research\u201D (often referred to as research not involving human subjects) as defined in U. S. Department of Commerce Regulations, 15 CFR 27, also known as the Common Rule (45 CFR 46, Subpart A), for the Protection of Human Subjects by the NIST Human Research Protections Office and therefore not subject to oversight by the NIST Institutional Review Board (MML-16\u20130080). All data handling performed in Sweden was done in accordance with approval no 2023\u201305921\u20131 from the Swedish Ethical Review Authority. A.S. is co-inventor of the SiMSen-Seq technology that is patent protected (U.S. Serial No.:15/552,618). A.S. declares stock ownership and is a board member in Tulebovaasta, Iscaff Pharma and SiMSen Diagnostics. G.J. declares employment and stock ownership in SiMSen Diagnostics.</p

Development and inter-laboratory validation of the VISAGE enhanced tool for age estimation from semen using quantitative DNA methylation analysis

The analysis of DNA methylation has become an established method for chronological age estimation. This has triggered interest in the forensic community to develop new methods for age estimation from biological crime scene material. Various assays are available for age estimation from somatic tissues, the majority from blood. Age prediction from semen requires different DNA methylation markers and the only assays currently developed for forensic analysis are based on SNaPshot or pyrosequencing. Here, we describe a new assay using massively parallel sequencing to analyse 13 candidate CpG sites targeted in two multiplex PCRs. The assay has been validated by five consortium laboratories of the VISible Attributes through GEnomics (VISAGE) project within a collaborative exercise and was tested for reproducible quantification of DNA methylation levels and sensitivity with DNA methylation controls. Furthermore, DNA extracts and stains on Whatman FTA cards from two semen samples were used to evaluate concordance and mimic casework samples. Overall, the assay yielded high read depths (> 1000 reads) at all 13 marker positions. The methylation values obtained indicated robust quantification with an average standard deviation of 2.8% at the expected methylation level of 50% across the 13 markers and a good performance with 50 ng DNA input into bisulfite conversion. The absolute difference of quantifications from one participating laboratory to the mean quantifications of concordance and semen stains of remaining laboratories was approximately 1%. These results demonstrated the assay to be robust and suitable for age estimation from semen in forensic investigations. In addition to the 13-marker assay, a more streamlined protocol combining only five age markers in one multiplex PCR was developed. Preliminary results showed no substantial differences in DNA methylation quantification between the two assays, indicating its applicability with the VISAGE age model for semen developed with data from the complete 13-marker tool