The Chronic Toxicity of Endocrine-Disrupting Chemical to Daphnia magna: A Transcriptome and Network Analysis of TNT Exposure

Int J Mol Sci. 2024 Sep 13;25(18):9895. doi: 10.3390/ijms25189895.

Abstract

Endocrine-disrupting chemicals (EDCs) impair growth and development. While EDCs can occur naturally in aquatic ecosystems, they are continuously introduced through anthropogenic activities such as industrial effluents, pharmaceutical production, wastewater, and mining. To elucidate the chronic toxicological effects of endocrine-disrupting chemicals (EDCs) on aquatic organisms, we collected experimental data from a standardized chronic exposure test using Daphnia magna (D. magna), individuals of which were exposed to a potential EDC, trinitrotoluene (TNT). The chronic toxicity effects of this compound were explored through differential gene expression, gene ontology, network construction, and putative adverse outcome pathway (AOP) proposition. Our findings suggest that TNT has detrimental effects on the upstream signaling of Tcf/Lef, potentially adversely impacting oocyte maturation and early development. This study employs diverse bioinformatics approaches to elucidate the gene-level toxicological effects of chronic TNT exposure on aquatic ecosystems. The results provide valuable insights into the molecular mechanisms of the adverse impacts of TNT through network construction and putative AOP proposition.

Keywords: adverse outcome pathway (AOP); biological network analysis; chronic exposure; endocrine-disrupting chemical; gene expression profile.

MeSH terms

  • Animals
  • Daphnia magna
  • Daphnia* / drug effects
  • Daphnia* / genetics
  • Endocrine Disruptors* / toxicity
  • Gene Expression Profiling
  • Gene Ontology
  • Gene Regulatory Networks* / drug effects
  • Toxicity Tests, Chronic
  • Transcriptome* / drug effects
  • Trinitrotoluene* / toxicity
  • Water Pollutants, Chemical* / toxicity

Substances

  • Endocrine Disruptors
  • Trinitrotoluene
  • Water Pollutants, Chemical

Grants and funding

This work was supported by the Korea Environment Industry & Technology Institute (KEITI) through the Core Technology Development Project for Environmental Diseases Prevention and Management Program, funded by South Korea’s Ministry of Environment (MOE) (grant number 2022003310012).