Rare but not absent: the Inverted Mitogenomes of Deep-Sea Hatchetfish
Gomes-dos-Santos, A.; Vilas-Arrondo, N.; Machado, A. M.; Roman-Marcote, E.; Del Rio Iglesias, J. L.; Baldo, F.; Perez, M.; Fonseca, M. M.; C. Castro, L. F.; Froufe, E.
Show abstract
Mitochondrial genomes are by definition compact and structurally stable over aeons. This generalized perception results from a vertebrate-centric vision, as very few types of mtDNA rearrangements have been described in vertebrates. By combining a panel of sequencing approaches, including short- and long-reads, we show that species from a group of illusive marine teleosts, the deep-sea hatchetfish (Stomiiforms: Sternoptychidae), display a myriad of new mtDNA structural arrangements. We show a never reported inversion of the coding direction of protein-coding genes (PGG) coupled with a strand asymmetry nucleotide composition reversal directly related to the strand location of the Control Region (which includes the heavy strand replication origin). An analysis of the 4-fold redundant sites of the PCGs, in thousands of vertebrate mtDNAs, revealed the rarity of this phenomenon, only found in 9 fish species, five of which are deep-sea hatchetfish. Curiously, in Antarctic notothenioid fishes (Trematominae), where a single PCG inversion (the only other record in fish) is coupled with the inversion of the Control Region, the standard asymmetry is disrupted for the remaining PCG but not yet reversed, suggesting a transitory state in this species mtDNA. Together, our findings hint that a relaxation of the classic vertebrate mitochondrial structural stasis, observed in Sternoptychidae and Trematominae, promotes disruption of the natural balance of asymmetry of the mtDNA. Our findings support the long-lasting hypothesis that replication is the main molecular mechanism promoting the strand-specific compositional bias of this unique and indispensable molecule.
Matching journals
The top 4 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- Evolutionary Insights from the Mitochondrial Genome of Oikopleura dioica: Sequencing Challenges, RNA Editing, Gene Transfers to the Nucleus, and tRNA Loss 97%
- DNA transposon expansion is associated with genome size increase in mudminnows 96%
- The genome of the rayed Mediterranean limpet Patella caerulea (Linnaeus, 1758) 96%
Similar papers in this journal
- Nanopore genome skimming with Illumina polishing yields highly accurate mitogenome sequences: a case study of Niphargus amphipods 97%
- Chromosome level genome reference of the Caucasian dwarf goby Knipowitschia cf. caucasica, a new alien Gobiidae invadingthe River Rhine 95%
- Near-chromosome level genome assembly of devil firefish, Pterois miles 95%
Similar papers in this journal
- Evolutionary dynamics of the OR gene repertoire in teleost fishes: evidence of an association with changes in olfactory epithelium shape 95%
- Temperature and Pressure Shaped the Evolution of Antifreeze Proteins in Polar and Deep Sea Zoarcoid Fishes 95%
- Genomics of secondarily temperate adaptation in the only non-Antarctic icefish 95%
Similar papers in this journal
- Comparison of whole-genome assemblies of European river lamprey (Lampetra fluviatilis) and brook lamprey (Lampetra planeri) 96%
- High-quality genome assembly of the endemic threatened White-bellied Sholakili Sholicola albiventris (Muscicapidae: Blanford, 1868) from the Shola Sky Islands, India. 94%
- NUMT PARSER: automated identification and removal of nuclear mitochondrial pseudogenes (numts) for accurate mitochondrial genome reconstruction in Panthera 94%
Similar papers in this journal
- Mitochondrial genomes of Columbicola feather lice are highly fragmented, indicating repeated evolution of minicircle-type genomes in parasitic lice 94%
- Tackling the phylogenetic conundrum of Hydroidolina (Cnidaria: Medusozoa: Hydrozoa) by assessing competing tree topologies with targeted high-throughput sequencing. 94%
- ACPT gene is inactivated in mammalian lineages that lack enamel and teeth 93%
"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.