A Customized Human Mitochondrial DNA Database (hMITO DB v1.0) for Rapid Sequence Analysis, Haplotyping and...

Area of Science:

• Mitochondrial genomics
• Bioinformatics
• Population genetics

Background:

• Mitochondrial genomics has significantly advanced molecular anthropology, population genetics, and medical genetics.
• Current mitochondrial DNA (mtDNA) next-generation sequencing (NGS) analysis is limited by the absence of a unified database and efficient bioinformatics pipeline for haplotyping and phylogeographic studies.

Purpose of the Study:

• To develop a consolidated human mitogenome database (hMITO DB) and an automated bioinformatics workflow.
• To enhance the efficiency and accuracy of mtDNA-NGS analysis for haplotyping and phylogeographic inference.

Main Methods:

• A customized human mitogenome database (hMITO DB) was created using 4286 mitogenomes.
• A CLC Genomics workflow was implemented for read mapping, variant analysis, haplotyping, and geo-mapping.
• The workflow was validated using mtDNA-NGS sequences from Pap smears and cervical cancer cell lines.

Main Results:

• The hMITO DB and workflow demonstrated consistency with existing literature regarding macro-haplogroup distribution and phylogenetic trees.
• The automated workflow successfully performed read mapping, variant tracking, and haplotype/geo-origin generation for 47 samples in 15 minutes.
• The system provided rapid, efficient, and accurate sequence analysis.

Conclusions:

• The developed hMITO DB and automated workflow significantly improve mtDNA-NGS analysis.
• This tool facilitates translational mitogenomics by enabling rapid haplotyping and phylogeographic inference.
• The system addresses the need for a consolidated database and efficient pipeline in mitochondrial genomics research.