title: Chronic toxicological effects of β-diketone antibiotics on Zebrafish (Danio rerio) using transcriptome profiling of deep sequencing.
abstract: Transcriptome analysis is important for interpreting the functional elements of the genome and revealing the molecular constituents of cells and tissues. Herein, differentially transcribed genes were identified by deep sequencing after zebrafish (Danio rerio) were exposed to β-diketone antibiotics (DKAs); 23,129 and 23,550 mapped genes were detected in control and treatment groups, a total of 3238 genes were differentially expressed between control and treatment groups. Of these genes, 328 genes (213 up- and 115 down-regulation) had significant differential expression (p < 0.05) and an expression ratio (control/treatment) of >2 or <0.5. Additionally, we performed Gene Ontology (GO) category and Kyoto Encyclopedia of Genes and Genomes (KEGG) pathway enrichment analyses, and found 266 genes in the treatment group with annotation terms linked to the GO category. A total of 77 differentially expressed transcriptional genes were associated with 132 predicted KEGG metabolic pathways. Serious liver tissue damage was reflected and consistent with the differences in genetic classification and function from the transcriptome analysis. These results enhance our understanding of zebrafish developmental processes under exposure to DKA stress. © 2015 Wiley Periodicals, Inc. Environ Toxicol 31: 1357-1371, 2016.
authors.affiliation: Department of biochemistry and molecular biology, College of Life Sciences, Wenzhou Medical University, Wenzhou, 325035, China.
authors.forename: Huili
authors.initials: H
authors.lastname: Wang
authors.affiliation: Department of Environmental Sciences, Wenzhou Medical University, Wenzhou, 325035, China.
authors.forename: Xiaohan
authors.initials: X
authors.lastname: Yin
authors.affiliation: Department of Environmental Sciences, Wenzhou Medical University, Wenzhou, 325035, China.
authors.forename: Fanghui
authors.initials: F
authors.lastname: Li
authors.affiliation: Department of Land, Air and Water Resources, University of California, Davis, California, 95616.
authors.forename: Randy A
authors.initials: RA
authors.lastname: Dahlgren
authors.affiliation: Department of Environmental Sciences, Wenzhou Medical University, Wenzhou, 325035, China.
authors.forename: Yuna
authors.initials: Y
authors.lastname: Zhang
authors.affiliation: Department of biochemistry and molecular biology, College of Life Sciences, Wenzhou Medical University, Wenzhou, 325035, China.
authors.forename: Hongqin
authors.initials: H
authors.lastname: Zhang
authors.affiliation: Department of Environmental Sciences, Wenzhou Medical University, Wenzhou, 325035, China. zjuwxd@163.com.
authors.forename: Xuedong
authors.initials: X
authors.lastname: Wang
mesh_terms: D000818:Animals; D000900:Anti-Bacterial Agents / Q000737:chemistry / Q000633:toxicity*; D015536:Down-Regulation / Q000187:drug effects; D020869:Gene Expression Profiling; D059014:High-Throughput Nucleotide Sequencing; D007659:Ketones / Q000737:chemistry / Q000633:toxicity*; D008099:Liver / Q000187:drug effects / Q000378:metabolism / Q000473:pathology; D008854:Microscopy, Electron; D017423:Sequence Analysis, RNA; D059467:Transcriptome / Q000187:drug effects*; D015854:Up-Regulation / Q000187:drug effects; D015027:Zebrafish / Q000235:genetics / Q000378:metabolism
chemical_list: D000900:Anti-Bacterial Agents; D007659:Ketones
keywords: deep sequencing; immune system; transcriptome; zebrafish; β-diketone antibiotics