Abstract
Mercury is a heavy metal which causes irreversible toxicity to fish and is detected in aquatic environment around the world. We aimed to explore the relative mechanism of mercury exposure on the brain injury. In this study, high-throughput sequencing RNA-Seq technology was carried out to analyze the changes of gene expression of brain tissues exposed to mercury. A large number of differentially expressed genes were identified. And 366 genes were up-regulated and 688 genes were down-regulated. Gene Ontology (GO) functional enrichment analysis showed that DNA-templated and transport were highly enriched in the biological process. Membrane, nucleus, and cytoplasm were highly enriched in the cellular component, and metal ion binding and DNA binding were highly enriched in molecular function. The differential genes were enriched in ferroptosis, necroptosis, calcium signaling pathway, and ion channels. Real-time quantitative reverse transcription PCR (qRT-PCR) results demonstrated the selected genes exhibited the same trends with the RNA-Seq results, which indicates the transcriptome sequencing data is reliable. Our results may provide an insightful view for the toxic effects of mercury on brain injury of common carp.
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Funding
The work was supported by the National Natural Science Foundation of China (no.30972191), Jilin Province Industrial Technology Research and Development Special Project (no.2019C059-5), and Jilin Province Science and Technology Development Plan Project (no.20190201179JC).
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Y. Z. and Y.L. designed the experiment; Y.Z., P. Z., S.X., and L.Y did the experiment; Y. Z. wrote the paper.
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All the experimental protocols in this study were approved by the Institutional Animal Care and Use Committee of Jilin Agricultural University.
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Supplement Fig. 1 Mercury accumulation in blood and brain tissues. The data are showed as mean ± SD (n = 3). P < 0.05 indicates a significant difference between the two groups (PNG 25 kb)
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Zhang, Y., Lu, Y., Zhang, P. et al. Brain Injury Induced by Mercury in Common Carp: Novel Insight from Transcriptome Analysis. Biol Trace Elem Res 201, 403–411 (2023). https://doi.org/10.1007/s12011-022-03161-2
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DOI: https://doi.org/10.1007/s12011-022-03161-2