Application of mitochondrial genomes to species identification and evolution

Mitochondrial genomes (mtDNA) have become invaluable in species classification and evolutionary studies due to their unique characteristics, including maternal inheritance, and high mutation rates. This review examines the application of mtDNA in tracing evolutionary history, elucidating phylogenetic relationships, and understanding mechanisms of species divergence. The evolution of mitochondrial DNA research from its initial focus on energy metabolism to its current role in biodiversity assessments highlights its significance in modern biology. Mitochondrial DNA barcoding, particularly utilizing the cytochrome c oxidase I (COI) gene, has revolutionized species identification, enabling rapid and accurate classification across diverse taxa. The article further explores the implications of mtDNA in understanding adaptive evolution, as genetic variations within mitochondrial genomes can reveal insights into how species respond to environmental pressures. However, challenges such as gene mixing, hybridization, and incomplete lineage sorting can complicate interpretations of mtDNA data. Thus, integrating mitochondrial with nuclear genome data is advocated to provide a comprehensive view of species relationships and evolutionary patterns. Future research directions emphasize the need for multi-genome studies, investigations into ecological adaptations, and exploration of understudied taxa and ecosystems, which are crucial for enhancing our understanding of biodiversity and informing conservation strategies.

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Publication Details

Journal
Electronic Journal of Biotechnology
Published
2025-06-02
DOI
https://doi.org/10.1016/j.ejbt.2025.04.001
Citations
13
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
10.48

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article

Application of mitochondrial genomes to species identification and evolution

Liangyu Lin, Qiong Wu, Bingpeng Xing
13 citations
Electronic Journal of Biotechnology
Identification and Quantification in Food
10.48
article

Application of mitochondrial genomes to species identification and evolution

Liangyu Lin, Qiong Wu, Bingpeng Xing
article en
13 citations

Abstract

Mitochondrial genomes (mtDNA) have become invaluable in species classification and evolutionary studies due to their unique characteristics, including maternal inheritance, and high mutation rates. This review examines the application of mtDNA in tracing evolutionary history, elucidating phylogenetic relationships, and understanding mechanisms of species divergence. The evolution of mitochondrial DNA research from its initial focus on energy metabolism to its current role in biodiversity assessments highlights its significance in modern biology. Mitochondrial DNA barcoding, particularly utilizing the cytochrome c oxidase I (COI) gene, has revolutionized species identification, enabling rapid and accurate classification across diverse taxa. The article further explores the implications of mtDNA in understanding adaptive evolution, as genetic variations within mitochondrial genomes can reveal insights into how species respond to environmental pressures. However, challenges such as gene mixing, hybridization, and incomplete lineage sorting can complicate interpretations of mtDNA data. Thus, integrating mitochondrial with nuclear genome data is advocated to provide a comprehensive view of species relationships and evolutionary patterns. Future research directions emphasize the need for multi-genome studies, investigations into ecological adaptations, and exploration of understudied taxa and ecosystems, which are crucial for enhancing our understanding of biodiversity and informing conservation strategies.

Electronic Journal of BiotechnologyVol. 76
Ministry of Natural Resources (CN), Beijing Normal University (CN), Zhejiang Academy of Social Sciences (CN), Beibu Gulf University (CN), Fujian Institute of Oceanography (CN)
Natural Science Foundation of Fujian Province
Openalex Percentile: Top 1%
Identification and Quantification in Food
10.48
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