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

Jun Lee, Hyun Woo Kim, Dong Yeop Shin, Jun Pyo Han, Yujin Jang, Ju Yeon Park, Seok Gyu Yun, Eun Min Cho, Young Rok Seo

Research output: Contribution to journalArticlepeer-review

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.

Original languageEnglish
Article number9895
JournalInternational Journal of Molecular Sciences
Volume25
Issue number18
DOIs
StatePublished - Sep 2024

Keywords

  • adverse outcome pathway (AOP)
  • biological network analysis
  • chronic exposure
  • endocrine-disrupting chemical
  • gene expression profile

Fingerprint

Dive into the research topics of 'The Chronic Toxicity of Endocrine-Disrupting Chemical to Daphnia magna: A Transcriptome and Network Analysis of TNT Exposure'. Together they form a unique fingerprint.

Cite this