A review on the application of mitochondrial DNA sequences to population genetic study of lepidopteran insects in China

Haoyu Wang

doi:10.1117/12.2668996

24 March 2023 A review on the application of mitochondrial DNA sequences to population genetic study of lepidopteran insects in China

Haoyu Wang

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Proceedings Volume 12611, Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022); 126110B (2023) https://doi.org/10.1117/12.2668996
Event: International Conference on Biological Engineering and Medical Science (ICBioMed2022), 2022, Oxford, United Kingdom

Abstract

The mitochondrial DNA (mtDNA) genome has a characteristic of maternal inheritance, which means the mtDNA can only be inherited by mothers. This is necessary and useful for genetic study because maternal inheritance will hardly suffer crossing over, which means genomes are mainly differentiated by mutations instead of genetic recombination results from sexual reproduction. Since the paternal genetic changes will not be taken into account, the evolutionary observation will be more intuitive, and the analysis will be easier, thus bringing more accurate results. This review focuses on the use of mtDNA sequences to study the genetic population of Lepidopteran insects in China, including separated parts of different kinds of butterflies’ genetic study based on mtDNA sequences, giving the conclusion in phylogenetic studies. Meanwhile, it focuses on the application of mtDNA in different research, including the application of COI and COII, Cytb, some RNA genes, and the AT rich-region which is considered the control region.

Citation Download Citation

Haoyu Wang "A review on the application of mitochondrial DNA sequences to population genetic study of lepidopteran insects in China", Proc. SPIE 12611, Second International Conference on Biological Engineering and Medical Science (ICBioMed 2022), 126110B (24 March 2023); https://doi.org/10.1117/12.2668996

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KEYWORDS

Mitochondria

Genetics

Classification systems

Organisms

Biological samples

Molecules

Proteins

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