PAM fluorometer data and R codes for RNA-seq, metabolomics, and multi-omics analysis

Microalgae play important ecological roles and serve as useful models for assessing impacts of environmental contaminants on lower trophic aquatic organisms. Sertraline, a commonly prescribed selective serotonin reuptake inhibitor (SSRI) found in urban waters, has been observed to induce chlorosis in<i> Raphidocelis subcapitata</i> close to environmentally relevant concentrations. This study estimated potentially hazardous concentrations of sertraline hydrochloride by deriving transcriptomic and metabolomic points of departure (tPODs and mPODs) below which chronic adverse effects would not be expected. Additionally, an Adverse Outcome Pathway describing the mechanism by which sertraline hydrochloride impacted <i>R. subcapitata</i> was proposed using a multi-omics approach. Included is the PAM fluorometer data (apical_data_dromics_all.csv) and the R code used to process the data (apical_dromics.R). Also included are the r scripts used to interpret the metabolomics data (metaboanalyst_dose-response_DRomics.R), the transcriptomics data (DRomics_gprofiler_tPOD.R), and for multi-omics integration (mixOmics_microalgae_sertraline.R).