Unknown,Transcriptomics,Genomics,Proteomics

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Gene transcription analysis of Daphnia magna multigenerations exposed to carbendazim

ABSTRACT: Pesticides are continuously released into the environment, with possible long-term consequences on aquatic organisms. One of the pesticides still applied in several crops in some countries is the fungicide carbendazim, ending up in surface waters with concentrations reaching 5 Âµg/L. Daphnia magna (clone k6) was used in this study as a model organism and it was exposed to a sub-lethal concentration of carbendazim (5 Âµg/L) for twelve generations. Gene expression alterations induced by this compound were assessed in the F0 and F12 generations using D. magna custom microarrays. Results revealed that carbendazim caused changes at the gene expression level in both generations. Genes involved in response to stress, DNA replication/repair, neurotransmission, protein biosynthesis, ATP production, lipids and carbohydrates metabolism were the most affected in both F0 and F12, although a lower number of differentially expressed genes were observed in the F12 generation exposed to carbendazim. The exposure of daphnids to carbendazim did not cause a stable change in gene expression from F0 to F12 generations. Effects at the gene expression level were early detected at the F0 generation after a short-time exposure (10 days), highlighting the advantages of using high throughput tools as early warning analysis but also providing information on chemical mode of action, which can add value in risk assessment procedures. For the microarray experiment, neonates with less than 24h were picked from the F0 and F12 generations from both clean medium and carbendazim. Three replicates per each treatment were used and consisted of 5 daphnids aging 10 days old. A total of three replicates per treatment were used and each biological replicate was individually hybridized on the array. A single-color design was used, using the Agilent one-color RNA Spike-In Kit (AgilentTechnologies, Santa Clara, CA, USA), following the manufacturers protocol.

ORGANISM(S): Daphnia magna

SUBMITTER: Ana Soares

PROVIDER: E-GEOD-78120 | biostudies-arrayexpress |

REPOSITORIES: biostudies-arrayexpress

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Project description:The aim of this mRNA expression profiling experiment was to screen for ecotoxicogenomic fingerprints in juvenile daphnids (daphnia magna) as aquatic vertebrate non-target model exposed to sub lethal concentrations of Fipronil. Fipronil is a widely used insecticide applied for crop protection against field pests and Ectoparasites. The Insecticide Resistance Action Committee (IRAC) classified Fipronil after its mode of action (MoA) in the target organism as a GABA-gated chloride channel blocker (Group 2). The goal is to identify toxicogenomic profiles with predictive character and identify potential molecular key events (KE) explaining upstream adverse effects. This will provide useful information to refine and improve existing adverse outcome pathways (AOP). Furthermore, integrating the obtained profiles for this and other tested chemicals in a collective database will enable us in the future to derive predictions about the ecotoxicological hazard for chemcials with unknown apical effects, based on similarly altered transcriptomic and proteomic profiles. In a modified version of the acute immobilisation test (OECD 202), 50 juvenile Daphnids were exposed to two sub lethal concentrations of Fipronil for 48 hours under static conditions. Each test comprised of a low exposure (LE), high exposure (HE) and a negative control (NC) group and was performed in triplicates. At 48 hours after introducing the daphnids into the test solutions, RNA and protein was extracted from living daphnids with NucleoSpin RNA/Protein kit (Macherey-Nagel). RNA quality was assessed with a 2100 Bioanalyzer system (Agilent) before messenger RNA was purified (PolyA selection with TruSeq RNA Library Prep Kit v2) and sequenced on an Illumina HiSeq 4000 System (Illumina) in 50 bp single read mode, producing roughly 30 million reads per sample. Adapter sequences were removed with trimmomatic and sequences were aligned to the D. magna reference genome (daphmag2.4) using STAR. Counting of feature mapped reads was performed through featureCounts. Library gene count tables were then merged to a single count matrix as input for count normalization and differential gene expression analysis with DESeq2.

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Gene transcription analysis of Daphnia magna multigenerations exposed to carbendazim

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