Armed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), 115 Purple Heart Drive, Dover AFB, DE, 19902, United States; ARP Sciences, LLC, Contractor Supporting the Armed Forces Medical Examiner System, 9210 Corporate Boulevard, Suite 120, Rockville, MD, 20850, United States.
Armed Forces Medical Examiner System's Armed Forces DNA Identification Laboratory (AFMES-AFDIL), 115 Purple Heart Drive, Dover AFB, DE, 19902, United States; ARP Sciences, LLC, Contractor Supporting the Armed Forces Medical Examiner System, 9210 Corporate Boulevard, Suite 120, Rockville, MD, 20850, United States.
Forensic Sci Int Genet. 2018 May;34:25-36. doi: 10.1016/j.fsigen.2018.01.004. Epub 2018 Jan 16.
Generating mitochondrial genome (mitogenome) data from reference samples in a rapid and efficient manner is critical to harnessing the greater power of discrimination of the entire mitochondrial DNA (mtDNA) marker. The method of long-range target enrichment, Nextera XT library preparation, and Illumina sequencing on the MiSeq is a well-established technique for generating mitogenome data from high-quality samples. To this end, a validation was conducted for this mitogenome method processing up to 24 samples simultaneously along with analysis in the CLC Genomics Workbench and utilizing the AQME (AFDIL-QIAGEN mtDNA Expert) tool to generate forensic profiles. This validation followed the Federal Bureau of Investigation's Quality Assurance Standards (QAS) for forensic DNA testing laboratories and the Scientific Working Group on DNA Analysis Methods (SWGDAM) validation guidelines. The evaluation of control DNA, non-probative samples, blank controls, mixtures, and nonhuman samples demonstrated the validity of this method. Specifically, the sensitivity was established at ≥25 pg of nuclear DNA input for accurate mitogenome profile generation. Unreproducible low-level variants were observed in samples with low amplicon yields. Further, variant quality was shown to be a useful metric for identifying sequencing error and crosstalk. Success of this method was demonstrated with a variety of reference sample substrates and extract types. These studies further demonstrate the advantages of using NGS techniques by highlighting the quantitative nature of heteroplasmy detection. The results presented herein from more than 175 samples processed in ten sequencing runs, show this mitogenome sequencing method and analysis strategy to be valid for the generation of reference data.
从参考样本中快速高效地生成线粒体基因组(mitogenome)数据对于充分利用整个线粒体 DNA(mtDNA)标记的更大鉴别力至关重要。使用 Nextera XT 文库制备和 Illumina 测序在 MiSeq 上进行长距离靶向富集的方法是一种从高质量样本生成 mitogenome 数据的成熟技术。为此,对该 mitogenome 方法进行了验证,该方法可同时处理多达 24 个样本,并在 CLC Genomics Workbench 中进行分析,同时利用 AQME(AFDIL-QIAGEN mtDNA Expert)工具生成法医图谱。该验证遵循了联邦调查局(FBI)法医 DNA 检测实验室质量保证标准(QAS)和科学工作组 DNA 分析方法(SWGDAM)验证指南。对对照 DNA、非嫌疑样本、空白对照、混合物和非人类样本的评估证明了该方法的有效性。具体而言,在准确生成 mitogenome 图谱方面,该方法的灵敏度设定为≥25pg 核 DNA 输入。在扩增子产量低的样本中观察到不可重复的低水平变异。此外,变体质量被证明是识别测序错误和串扰的有用指标。该方法在各种参考样本基质和提取物类型上的成功证明了 NGS 技术的优势,突出了异质性检测的定量性质。本文介绍了来自十个测序运行中处理的超过 175 个样本的结果,表明该 mitogenome 测序方法和分析策略对于生成参考数据是有效的。