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In this paper we present a new algorithm for splitting (partial) human mitogenomes into components with high similarity to haplogroup motifs of Phylotree. The algorithm reads a (partial) mitogenome coded by the differences to the reference (rCRS) and outputs the estimated haplogroups of the putative components. The algorithm requires no special information on the raw data of the sequencing process and is therefore suited for the post hoc analysis of mixtures of any sequencing technology. The software EMMA 2 implementing the algorithm will be made available via the EMPOP (https://empop.online) database and extends the nine years old software EMMA for haplogrouping single mitogenomes to mixtures with at most three components.

Mitochondrial DNA (mtDNA) variation is being reported relative to the corrected version of the first sequenced human mitochondrial genome. A review of the existing literature across disciplines that employ mtDNA demonstrates that insertions and deletions are not reported in a standardized way. This may lead to false exclusions of identical sequences, unidentified matches in missing persons mtDNA databases, biased mtDNA database frequency estimates and overestimation of the genetic evidence. Seven years ago we introduced alignment-free database search software (SAM) and implemented it into the mtDNA database EMPOP (https://empop.online) to produce reliable and conservative frequency estimates that are required in the forensic context. However, ambiguity remained in how laboratories have been reporting mitotypes, as often more than one single alignment of a given mtDNA sequence was feasible. In order to overcome this limitation we here describe a concept and provide software for producing stable, harmonized phylogenetic alignment of mtDNA sequences for database searches. The new software SAM 2 will be made available via EMPOP and provide the user with the already established conservative frequency estimates. In addition, SAM 2 offers the rCRS-coded haplotype of a given mtDNA sequence following the established and widely accepted phylogenetic alignment. This provides the user with feedback on how mitotypes are stored in EMPOP and how they should be reported in order to harmonize nomenclature. Finally, this approach does not only permit reliable mtDNA nomenclature in forensics but invites related disciplines to take advantage of a standardized way of reporting mtDNA variation, thus closing the ranks between different genetic fields and supporting dialogue and collaboration between mtDNA scholars from various disciplines.

Mitochondrial DNA databases stand as the basis for frequency estimations of mtDNA sequences that became relevant in a case. The establishment of mtDNA databases sounds trivial; however, it has been shown in the past that this undertaking is prone to error for several reasons, particularly human error. We have established a concept for mtDNA data generation, analysis, transfer and quality control that meets forensic standards. Due to the complexity of mtDNA population data tables it is often difficult if not impossible to detect errors, especially for the untrained eye. We developed software based on quasi-median network analysis that visualizes mtDNA data tables and thus signposts sequencing, interpretation and transcription errors. The mtDNA data (N=5173; release 1) are stored and made publicly available via the Internet in the form of the EDNAP mtDNA Population Database, short EMPOP. This website also facilitates quasi-median network analysis and provides results that can be used to check the quality of mtDNA sequence data. EMPOP has been launched on 16 October 2006 and is since then available at http://www.empop.org.