Greater Expression of DNA Repair Pathways in Sharks vs. Rays/Skates Based on Transcriptomic Analyses
Simmons, C. R.; Grant, S. L.; Llorente Ruiz, L.; Kerstetter, D. W.; Pimpley, M.; Latimer, J. J.
Show abstract
Elasmobranchs are an understudied taxon of cartilaginous fishes. DNA repair studies have been performed in very few elasmobranchs. Because DNA repair maintains the integrity of the genetic code, it is important for the survival of elasmobranchs in increasingly polluted oceans. Oil spills, for example, have been shown to cause DNA adducts in marine animals. We hypothesized that four elasmobranch species would show differential DNA repair expression. Dermal tissue was harvested from nurse sharks (Ginglymostoma cirratum), spiny dogfish (also considered to be sharks) (Squalus acanthias), yellow stingrays (Urobatis jamaicensis), little skates (Leucoraja erinacea), and RNA was isolated. RNA sequencing was performed using the holocephalan Australian ghostshark (Callorhincus milii) reference genome. ANOVA KEGG pathway analysis revealed that RNA from the sharks manifested significantly higher expression than those of rays/skates in 4/5 major DNA repair pathways (Base Excision, Nucleotide Excision, Mismatch Repair, and Homologous Recombination). Each of the four pathways of DNA repair manifested differential expression of pathway-specific genes (mpg, polL, parp4, polD2, xpa, gtf2h3, gtf2h5, ercc8, ercc4, cul4b, rad51D, rad51C, blm, ssbp1, top3a, rad51, xrcc3, mre11a, brip1, rad54b, etc.). One gene, polD2, was consistently elevated in the sharks vs. rays/skates in all four pathways. A subunit of polD, has been proposed to contribute to the spreading and amplification of hypermutations in sharks by generating higher diversity of the T cell receptor repertoire. With increased expression of four major DNA repair pathways, sharks may be more successful than rays/skates in remediating DNA damage and surviving the genotoxic effects of increasingly polluted oceans and possibly eluding cancer.
Matching journals
The top 7 journals account for 50% of the predicted probability mass.
Similar papers in this journal
- General DNA methylation patterns and environmentally-induced differential methylation in the eastern oyster (Crassostrea virginica) 92%
- Proteomic responses to ocean acidification in the brain of juvenile coral reef fish 92%
- Sampling Microbial Dynamics in the Salish Sea Estuary: Evaluating Methods to Capture Cyanobacteria and Cyanophage 90%
Similar papers in this journal
- Comparative analysis of gonadal transcriptomes between turtle and alligator identifies common molecular cues activated during the temperature-sensitive period for sex determination 91%
- VEGF and FGF signaling during head regeneration in hydra 91%
- Myomixer is expressed during embryonic and post-larval hyperplasia, muscle regeneration and fusion of myoblats in rainbow trout (Oncorhynchus mykiss) 91%
Similar papers in this journal
Similar papers in this journal
- Altered spawning seasons of Atlantic salmon broodstock transcriptionally and epigenetically influence cell cycle and lipid-mediated regulations in their offspring 92%
- The complete mitochondrial genome of Calyptogena marissinica (Heterodonta: Veneroida: Vesicomyidae): insight into the deep-sea adaptive evolution of vesicomyids 92%
- Metaplasia of respiratory and digestive tissues in the Eastern oyster Crassostrea virginica associated with the Deepwater Horizon oil spill 92%
Similar papers in this journal
- A non-invasive eDNA tool for detecting sea lamprey larvae in river sediments: analytical validation and field testing in a low abundance ecosystem 92%
- Functional characterization of fatty acyl desaturase Fads2 and Elovl5 elongase in the Boddart’s goggle-eyed goby, Boleophthalmus boddarti (Gobiidae) suggest an incapacity for long-chain polyunsaturated fatty acid biosynthesis 91%
- DNA extracted from boiled archival fish bones yields high quality whole genome sequencing data 91%
"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.