Literature DB >> 27264782

Hepatic gene expression profiling in zebrafish (Danio rerio) exposed to the fungicide chlorothalonil.

Anny B Sánchez Garayzar1, Paulina A Bahamonde2, Christopher J Martyniuk3, Miguel Betancourt4, Kelly R Munkittrick5.   

Abstract

Chlorothalonil (tetrachloroisophtalonitrile) is a fungicide that is widely used on agricultural crops around the world and as such, it is a ubiquitous aquatic contaminant. Despite high usage, the effects of this fungicide on non-target aquatic organisms have not been fully investigated. The aim of the present study was to (1) determine the effects of chlorothalonil toxicity on adult male zebrafish (Danio rerio) and (2) characterize the effects of chlorothalonil on gene expression patterns in the liver using two different concentrations of the fungicide, 0.007mg/L (environmentally-relevant) and 0.035mg/L (sublethal). These concentrations were selected from range-finding experiments that showed that zebrafish survival was significantly different from control animals at concentrations higher than 0.035mg/L but not below. Male zebrafish in both treatments of chlorothalonil showed a decrease in liversomatic index. A commercial D. rerio microarray (4×44K) was used to determine gene expression profiles in male zebrafish liver following a 96h toxicological assay. Microarray analysis revealed that males exposed to both 0.007mg/L or 0.035mg/L of chlorothalonil showed increased transcriptional sub-networks related to cell division and DNA damage and decreased expression of gene networks associated with reproduction, immunity, and xenobiotic clearance. This study improves knowledge regarding whole animal exposures to chlorothalonil and identifies molecular signaling cascades that are sensitive to this fungicide in the fish liver.
Copyright © 2016 Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Chlorothalonil; Microarray; Pesticides; Toxicity; Transcriptomics

Mesh:

Substances:

Year:  2016        PMID: 27264782     DOI: 10.1016/j.cbd.2016.04.004

Source DB:  PubMed          Journal:  Comp Biochem Physiol Part D Genomics Proteomics        ISSN: 1744-117X            Impact factor:   2.674


  2 in total

1.  Using metabolomic profiling to inform use of surrogate species in ecological risk assessment practices.

Authors:  Roland F Seim; Donna A Glinski; Candice M Lavelle; Jill A Awkerman; Becky L Hemmer; Peggy Harris; Sandy Raimondo; Marcía N Snyder; Brad W Acrey; S Thomas Purucker; Denise K MacMillan; Amanda A Brennan; W Matthew Henderson
Journal:  Comp Biochem Physiol Part D Genomics Proteomics       Date:  2021-11-29       Impact factor: 2.674

2.  Biological Visual Detection for Advanced Photocatalytic Oxidation toward Pesticide Detoxification.

Authors:  Mingjiao Hao; Jinghui Wang; Jiadi Zhao; Nan Liu; Chi Feng; Ziping Wang; Danhui Sun; Quanli Hu; Zhiyu Wang; Feng Wang; Jingfeng Yang; Luhua Lu; Wu Dong; Limei Duan; Zhengang Liu; Jinghai Liu
Journal:  ACS Omega       Date:  2019-11-14
  2 in total

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