Artificial recombination in forensic mtDNA population databases

Area of Science:

• Forensic Science
• Molecular Biology
• Genetics

Background:

• Artificial recombination of mitochondrial DNA (mtDNA) fragments from different samples is a potential source of significant error in forensic DNA typing.
• Analysis of published mtDNA databases has revealed instances where such artificial recombination events likely occurred during data preparation.

Purpose of the Study:

• To highlight the occurrence and implications of artificial recombination in forensic mtDNA databases.
• To propose a method for identifying and preventing such errors in forensic genetic analyses.

Main Methods:

• Focused database searches were employed to scrutinize existing mtDNA datasets.
• Phylogenetic analysis and network representations were utilized to detect anomalous patterns.
• These methods were used to identify mosaic patterns indicative of sample mix-ups.

Main Results:

• Mosaic patterns, suggestive of artificial recombination, were identified in several published mtDNA databases.
• The applied methods effectively pinpointed potential sample mix-up events within the analyzed data.

Conclusions:

• Artificial recombination is a demonstrable error source in forensic mtDNA database preparation.
• Implementing focused database searches, phylogenetic analysis, and network representations prior to publication is recommended to detect and rectify such errors, ensuring data integrity.