Long non-coding RNAs mediate fish gene expression in response to ocean acidification.
Jingliang KangArthur ChungSneha SureshLucrezia C BonziJade M SourisseSandra Ramirez-CaleroDaniele RomeoNatalia Petit-MartyCinta PeguerolesCelia SchunterPublished in: Evolutionary applications (2024)
The majority of the transcribed genome does not have coding potential but these non-coding transcripts play crucial roles in transcriptional and post-transcriptional regulation of protein-coding genes. Regulation of gene expression is important in shaping an organism's response to environmental changes, ultimately impacting their survival and persistence as population or species face global change. However, the roles of long non-coding RNAs (lncRNAs), when confronted with environmental changes, remain largely unclear. To explore the potential role of lncRNAs in fish exposed to ocean acidification (OA), we analyzed publicly available brain RNA-seq data from a coral reef fish Acanthochromis polyacanthus . We annotated the lncRNAs in its genome and examined the expression changes of intergenic lncRNAs (lincRNAs) between A. polyacanthus samples from a natural CO 2 seep and a nearby control site. We identified 4728 lncRNAs, including 3272 lincRNAs in this species. Remarkably, 93.03% of these lincRNAs were species-specific. Among the 125 highly expressed lincRNAs and 403 differentially expressed lincRNAs in response to elevated CO 2 , we observed that lincRNAs were either neighboring or potentially trans-regulating differentially expressed coding genes associated with pH regulation, neural signal transduction, and ion transport, which are known to be important in the response to OA in fish. In summary, lncRNAs may facilitate fish acclimation and mediate the responses of fish to OA by modulating the expression of crucial coding genes, which offers insight into the regulatory mechanisms underlying fish responses to environmental changes.
Keyphrases
- long non coding rna
- gene expression
- poor prognosis
- genome wide identification
- rna seq
- genome wide analysis
- genome wide
- network analysis
- transcription factor
- knee osteoarthritis
- signaling pathway
- electronic health record
- multiple sclerosis
- oxidative stress
- genetic diversity
- big data
- deep learning
- amino acid
- climate change
- free survival