Advances in Vertebrate (Cyto)Genomics Shed New Light on Fish Compositional Genome Evolution

Genes (Basel). 2023 Jan 17;14(2):244. doi: 10.3390/genes14020244.

Abstract

Cytogenetic and compositional studies considered fish genomes rather poor in guanine-cytosine content (GC%) because of a putative "sharp increase in genic GC% during the evolution of higher vertebrates". However, the available genomic data have not been exploited to confirm this viewpoint. In contrast, further misunderstandings in GC%, mostly of fish genomes, originated from a misapprehension of the current flood of data. Utilizing public databases, we calculated the GC% in animal genomes of three different, technically well-established fractions: DNA (entire genome), cDNA (complementary DNA), and cds (exons). Our results across chordates help set borders of GC% values that are still incorrect in literature and show: (i) fish in their immense diversity possess comparably GC-rich (or even GC-richer) genomes as higher vertebrates, and fish exons are GC-enriched among vertebrates; (ii) animal genomes generally show a GC-enrichment from the DNA, over cDNA, to the cds level (i.e., not only the higher vertebrates); (iii) fish and invertebrates show a broad(er) inter-quartile range in GC%, while avian and mammalian genomes are more constrained in their GC%. These results indicate no sharp increase in the GC% of genes during the transition to higher vertebrates, as stated and numerously repeated before. We present our results in 2D and 3D space to explore the compositional genome landscape and prepared an online platform to explore the AT/GC compositional genome evolution.

Keywords: AT/GC evolution; GC content; GC landscape pipeline; compositional cytogenomics; genome evolution.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Animals
  • DNA
  • DNA, Complementary
  • Evolution, Molecular
  • Fishes* / genetics
  • Genomics
  • Mammals / genetics
  • Vertebrates* / genetics

Substances

  • DNA, Complementary
  • DNA

Grants and funding

This project has initially received funding from the European Union’s Horizon 2020 research and innovation programm under the Marie Skłodowska-Curie grant agreement No 754462. Later, this work was carried out with the support of ELIXIR CZ Research Infrastructure (ID LM2018131, MEYS CR).