Mitochondrial Genomics and Transcriptomic Analysis

Mitochondrial genomics examines the small circular genomes housed within mitochondria, the organelles responsible for cellular energy production. These genomes encode a core set of protein-coding genes, ribosomal RNAs and transfer RNAs that are essential for oxidative phosphorylation and metabolic regulation. Advances in high-throughput sequencing have transformed the field, enabling rapid assembly, annotation and comparative analysis of mitochondrial genomes across diverse taxa. Complementary transcriptomic analysis interrogates mitochondrial RNA populations, revealing transcriptional organisation, post-transcriptional processing events such as polyadenylation and RNA editing, and the dynamics of polycistronic transcripts. Integrating genomic and transcriptomic data has deepened our understanding of mitochondrial biogenesis, evolutionary origin and maternal inheritance patterns, and has yielded biomarkers for human mitochondrial diseases, phylogeography and conservation genetics. The convergence of assembly tool development, novel experimental protocols and expanding public sequence repositories is driving a comprehensive picture of mitochondrial function in health, ecology and evolution.

Research from Nature Portfolio

Recent studies have demonstrated that complete mitochondrial genomes can be reliably reconstructed from eukaryotic transcriptome data. By mining RNA-Seq reads, researchers assembled full mitochondrial molecules for termite species, achieving near-complete coverage despite gaps in tRNA regions. Assembly accuracy proved independent of transcriptome size, read length or library design, and comparison with genome-derived references showed nucleotide divergence of less than 3.5%. Phylogenetic analyses based on transcriptome-derived mitogenomes yielded congruent topologies to those from conventional genomic sequencing. This approach exploits the wealth of publicly available transcriptomic datasets to expand mitochondrial genome resources, facilitating evolutionary studies without additional genome sequencing efforts.

Mitochondrial Genomics and Transcriptomic Analysis publication trend

The graph below shows the total number of articles in mitochondrial genomics and transcriptomic analysis across all publications each year (not limited to Nature Index journals).

Technical terms

Mitochondrial genome: The circular DNA molecule within mitochondria encoding proteins, rRNAs and tRNAs for energy metabolism.

Transcriptome: The complete set of RNA transcripts produced by the genome under specific conditions or in a given tissue.

Genome skimming: Low-coverage sequencing of total genomic DNA to recover high-copy elements such as organelle genomes.

De novo assembly: Reconstruction of genome or transcriptome sequences from short reads without a reference sequence.

Reference-based mapping: Alignment of sequencing reads to a known reference genome to guide assembly or variant detection.

References

1. Complete mitochondrial genomes from transcriptomes: assessing pros and cons of data mining for assembling new mitogenomes. Scientific Reports (2019).
2. A Snakemake Toolkit for the Batch Assembly, Annotation and Phylogenetic Analysis of Mitochondrial Genomes and Ribosomal Genes From Genome Skims of Museum Collections. Molecular Ecology Resources (2024).
3. A systematic comparison of human mitochondrial genome assembly tools. BMC Bioinformatics (2023).
4. Mitochondrial genome sequencing, mapping, and assembly benchmarking for Culicoides species (Diptera: Ceratopogonidae). BMC Genomics (2022).