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Updated: Mar 17, 2026

Author Spotlight: High-Throughput Image-Based Quantification of Mitochondrial DNA Synthesis and Distribution
Published on: May 5, 2023
High-Throughput Sequencing of Complete Mitochondrial Genomes
Andrew George Briscoe1, Kevin Peter Hopkins2, Andrea Waeschenbach2
1Department of Life Sciences, Natural History Museum, Cromwell Road, London, SW7 5BD, UK. a.briscoe@nhm.ac.uk.
This chapter details methods for sequencing and assembling mitochondrial genomes (mitogenomes) from non-model organisms using Illumina sequencing. It covers DNA extraction, PCR amplification, library preparation, and bioinformatic analysis for robust mitogenome annotation.
Area of Science:
- Genomics
- Molecular Biology
- Bioinformatics
Background:
- Next-generation sequencing (NGS) has transformed mitogenomics into a high-throughput field.
- Established protocols for sequencing and assembling mitogenomes of non-model organisms are crucial for biodiversity and evolutionary studies.
Purpose of the Study:
- To provide a comprehensive methodological guide for sequencing, assembling, and annotating mitogenomes from non-model organisms.
- To detail the application of Illumina sequencing technology for mitogenome reconstruction.
Main Methods:
- DNA extraction from various sources.
- Long-range PCR amplification of mitochondrial DNA (mtDNA) or use of genomic DNA (gDNA).
- Illumina library preparation, quality assessment, and sequencing.
- Mitogenome assembly using seeded reference mapping or de novo approaches.
- Manual annotation of assembled mitogenomes.
Main Results:
- A detailed workflow for generating high-quality mitogenome data from non-model organisms.
- Successful assembly and annotation strategies applicable even without automated pipelines.
- Practical recommendations based on extensive laboratory experience.
Conclusions:
- The described methodologies enable efficient and accurate mitogenome sequencing and assembly for diverse non-model species.
- This chapter serves as a valuable resource for researchers entering the field of comparative mitogenomics.
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