GSE116639
Dose-responsive transcriptomic profiles in mahi-mahi (Coryphaena hippurus) larvae exposed to Deepwater Horizon oil (mRNA profiles)
Purpose:To help identify molecular mechanisms and pathways potentially involved in the developmental toxicity for fish exposed to different concentrations of Deepwater Horizon (DWH) oil, transcriptomic profiles in mahi-mahi (Coryphaena hippurus) embryos exposed to different DWH oils (source and artificially weathered oil) were evaluated  using High Throughput Sequencing (HTS). Methods:Total mRNA profiles of 48 hpf mahi-mah larvae after slick (0.5%, 1%, and 2%)  and source/mass oil (0.125%, 0.25% and 5%) exposure were generated by deep sequencing, in triplicate, using Illumina NextSEQ v2. Results:To determine the potential biological impact of oil exposure at system level, a gene ontology (GO) term analysis on biological processes (BPs) was conducted by analyzing the DEGs using ToppGene. The profile of BPs was dose- and oil type- dependent.  After exposure to 0.125% slick oil, the top enriched biological processes were RNA processing and RNA metabolism terms. Metabolic and catabolic process and terms associated with embryo development were some of the most enriched BPs at 0.25% slick oil. The top enriched BPs at 0.5% slick oil were organic acid metabolic process and cardiovascular system development.  For source oil, cell cycle process, metabolic process, and RNA processing were the most enriched by 0.125% source oil exposure, which were also highly enriched by 0.25% source oil exposure, while more 'response' BPs were enriched by 0.25% source oil exposure, such as regulation of response to stress, response to endogenous stimulus, response to hormone, cellular response to light stimulus, etc.  The most significantly enrich BP by 0.5% source oil was cardiovascular system development followed by organic acid metabolic process and cell junction assembly. Overall design: Total mRNA profiles of 48hpf mahi-mah larvae after slick and source oil exposure were generated by deep sequencing, in triplicate, using Illumina NextSEQ v2.