| Literature DB >> 36173740 |
Brett Morgan1,2, Tzi-Yuan Wang1, Yi-Zhen Chen3, Victor Moctezuma4, Oscar Burgos5, My Hanh Le1, Jen-Pan Huang1.
Abstract
The evolutionary dynamics and phylogenetic utility of mitochondrial genomes (mitogenomes) have been of particular interest to systematists and evolutionary biologists. However, certain mitochondrial features, such as the molecular evolution of the control region in insects, remain poorly explored due to technological constraints. Using a combination of long- and short-read sequencing data, we assembled ten complete mitogenomes from ten Hercules beetles. We found large-sized mitogenomes (from 24 to 28 kb), which are among the largest in insects. The variation in genome size can be attributed to copy-number evolution of tandem repeats in the control region. Furthermore, one type of tandem repeat was found flanking the conserved sequence block in the control region. Importantly, such variation, which made up around 30% of the size of the mitogenome, may only become detectable should long-read sequencing technology be applied. We also found that, although different mitochondrial loci often inferred different phylogenetic histories, none of the mitochondrial loci statistically reject a concatenated mitochondrial phylogeny, supporting the hypothesis that all mitochondrial loci share a single genealogical history. We on the other hand reported statistical support for mito-nuclear phylogenetic discordance in 50% of mitochondrial loci. We argue that long-read DNA sequencing should become a standard application in the rapidly growing field of mitogenome sequencing. Furthermore, mitochondrial gene trees may differ even though they share a common genealogical history, and ND loci could be better candidates for phylogenetics than the commonly used COX1.Entities:
Keywords: control region; long-read sequencing; mtDNA; phylogenetic discordance; purifying selection; short-read sequencing
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Year: 2022 PMID: 36173740 PMCID: PMC9576211 DOI: 10.1093/gbe/evac147
Source DB: PubMed Journal: Genome Biol Evol ISSN: 1759-6653 Impact factor: 4.065