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Animal Mitochondrial Genetics

Animal Mitochondrial Genetics

Among all the organelles in an animal cell, only mitochondria have their own independent genomes. Animal mitochondrial DNA is a double-stranded, closed-circular molecule with around 20,000 base pairs. Mitochondrial DNA is unique in that one of its two strands, the heavy, or H, -strand is guanine rich, whereas the complementary strand is cytosine rich and called the light, or L, -strand. Compared to nuclear DNA, mitochondrial DNA has a very low percentage of non-coding regions and is marked by...

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Updated: Jun 29, 2025

Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing

Genotyping Single Nucleotide Polymorphisms in the Mitochondrial Genome by Pyrosequencing

Published on: February 10, 2023

mtDNA analysis using Mitopore.

Jochen Dobner¹, Thach Nguyen¹, Mario Gustavo Pavez-Giani^2,3

¹Institut für Umweltmedizinische Forschung (IUF)-Leibniz Research Institute for Environmental Medicine, 40225 Düsseldorf, Germany.

Molecular Therapy. Methods & Clinical Development

|April 4, 2024

Summary

This summary is machine-generated.

Mitopore simplifies mitochondrial DNA (mtDNA) analysis with a new workflow and webserver. This cost-effective tool enhances the accessibility of detecting mtDNA variants and haplogroups for research and diagnostics.

Keywords:

Mitopore ONT clinical mtDNA diagnosis forensic mtDNA analysis haplogroups iPSCs quality control long-read sequencing mtDNA analysis mtDNA heteroplasmy webserver

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Area of Science:

Genomics
Bioinformatics
Molecular Biology

Background:

Mitochondrial DNA (mtDNA) analysis is vital for diagnosing mitochondrial disorders, forensics, and research.
Current mtDNA analysis methods are often complex, costly, and require specialized expertise.
Sanger sequencing is still used for detecting single nucleotide variants (SNVs) in mtDNA.

Purpose of the Study:

To develop a simplified, cost-effective workflow and webserver for mtDNA analysis.
To enable the detection of mtDNA single nucleotide variants (SNVs), indels, and haplogroups.
To improve the accessibility and reduce the cost of mtDNA analysis.

Main Methods:

Developed a simple workflow and publicly available webserver named Mitopore.
Tailored workflow for noisy long-read sequencing data, focusing on alignment and parameter optimization.
Implemented eliBQ (eliminate bad quality reads) for enhancing per-base quality of low-quality data.

Main Results:

Mitopore successfully detects mtDNA SNVs, indels, and haplogroups.
Validated workflow using patient-derived and induced pluripotent stem cells with mtDNA mutations.
Demonstrated increased per-base quality of over 20% for low-quality data using eliBQ.

Conclusions:

Mitopore streamlines mtDNA analysis, offering a fast, reliable, and cost-effective solution.
Enhances accessibility of mtDNA analysis for both long- and short-read sequencing data.
Contributes to advancing mtDNA-related research and diagnosis by reducing costs and complexity.