Genome skimming elucidates the evolutionary history of Octopoda

Taite, M., Fernández-Álvarez, F.A., Braid, H.E., Bush, S.L., Bolstad, K., Drewery, J., Mills, S., Strugnell, J.M., Vecchione, M., Villanueva, R., Voight, J.R., and Allcock, A.L. (2023) Genome skimming elucidates the evolutionary history of Octopoda. Molecular Phylogenetics and Evolution, 182. 107729.

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Phylogenies for Octopoda have, until now, been based on morphological characters or a few genes. Here we provide the complete mitogenomes and the nuclear 18S and 28S ribosomal genes of twenty Octopoda specimens, comprising 18 species of Cirrata and Incirrata, representing 13 genera and all five putative families of Cirrata (Cirroctopodidae, Cirroteuthidae, Grimpoteuthidae, Opisthoteuthidae and Stauroteuthidae) and six families of Incirrata (Amphitretidae, Argonautidae, Bathypolypodidae, Eledonidae, Enteroctopodidae, and Megaleledonidae) which were assembled using genome skimming. Phylogenetic trees were built using Maximum Likelihood and Bayesian Inference with several alignment matrices. All mitochondrial genomes had the ‘typical’ genome composition and gene order previously reported for octopodiforms, except Bathypolypus ergasticus, which appears to lack ND5, two tRNA genes that flank ND5 and two other tRNA genes. Argonautoidea was revealed as sister to Octopodidae by the mitochondrial protein-coding gene dataset, however, it was recovered as sister to all other incirrate octopods with strong support in an analysis using nuclear rRNA genes. Within Cirrata, our study supports two existing classifications suggesting neither is likely in conflict with the true evolutionary history of the suborder. Genome skimming is useful in the analysis of phylogenetic relationships within Octopoda; inclusion of both mitochondrial and nuclear data may be key.

Item ID: 78316
Item Type: Article (Research - C1)
ISSN: 1095-9513
Keywords: Cephalopoda, Evolution, Mollusca, Phylogenomics, Systematics
Copyright Information: © 2023 The Author(s). This is an open access article under the CC BY license (
Date Deposited: 10 Oct 2023 23:21
FoR Codes: 31 BIOLOGICAL SCIENCES > 3105 Genetics > 310509 Genomics @ 100%
SEO Codes: 28 EXPANDING KNOWLEDGE > 2801 Expanding knowledge > 280111 Expanding knowledge in the environmental sciences @ 100%
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