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Variability and evolution of gene order rearrangement in mitochondrial genomes of arthropods (except Hexapoda).

Authors :
Sterling-Montealegre RA
Prada CF
Source :
Gene [Gene] 2024 Jan 20; Vol. 892, pp. 147906. Date of Electronic Publication: 2023 Oct 14.
Publication Year :
2024

Abstract

In the species-rich Phylum Arthropoda, the mitochondrial genome is relatively well conserved both in terms of number and order of genes. However, specific clades have a 'typical' gene order that differs from the putative arthropod ancestral arrangement. The aim of this work was to compare the rate of mitochondrial gene rearrangements at inter- and intra-taxonomic levels in the Arthropoda and to postulate the most parsimonious ancestral orders representing the four major arthropod lineages. For this purpose, we performed a comparative genomic analysis of arthropod mitochondrial genomes available in the NCBI database. Using a combination of bioinformatics methods that examined mitochondrial gene rearrangements in 464 species of arthropods from three subphyla (Chelicerata, Myriapoda, and Crustacea [except Hexapoda, previously analyzed]), we observed differences in the rate of rearrangement within major lineages. A higher rate of mitochondrial genome rearrangement was observed in Crustacea and Chelicerata compared to Myriapoda. Likewise, early branching clades exhibit less variability in mitochondrial genome order than late branching clades, within each subphylum. We identified 'hot regions' in the mitochondrial genome of each studied subphylum, and postulated the most likely ancestral gene order in each subphylum and taxonomic order. Our work provides new evidence on the evolutionary dynamics of mitochondrial genome gene order in arthropods and new mitochondrial genome architectures in different taxonomic divisions within each major lineage of arthropods.<br />Competing Interests: Declaration of Competing Interest The authors declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.<br /> (Copyright © 2023 The Authors. Published by Elsevier B.V. All rights reserved.)

Details

Language :
English
ISSN :
1879-0038
Volume :
892
Database :
MEDLINE
Journal :
Gene
Publication Type :
Academic Journal
Accession number :
37844850
Full Text :
https://doi.org/10.1016/j.gene.2023.147906