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砷污染沉积物暴露后水稻根系的转录变化。

Transcriptional changes measured in rice roots after exposure to arsenite-contaminated sediments.

机构信息

German Federal Institute of Hydrology, Am Mainzer Tor 1, 56068, Koblenz, Germany.

Department VI, Trier University, Biogeography, 54286, Trier, Germany.

出版信息

Environ Sci Pollut Res Int. 2018 Jan;25(3):2707-2717. doi: 10.1007/s11356-017-0515-z. Epub 2017 Nov 13.

Abstract

Transcriptional analyses are discussed to provide a deeper understanding of the molecular mechanisms underlying toxic effects. Thus, they can complement classic ecotoxicological test methods and potentially allow the identification of biomarkers associated to the exposure of chemical stressors and or adverse biological effects. This feasibility study intended to identify a set of potential gene expression biomarkers for arsenite-exposure in rice roots that could complement the informative value of an existing sediment-contact test with rice. A sediment-contact test with Oryza sativa with the parameters inhibition of root and shoot elongation as phenotypic endpoints was used as basis. Rice plants were exposed to arsenite-spiked sediments. Transcriptomic changes in response to arsenite were observed by means of cDNA-microarray analysis regarding the whole-transcriptome at two sublethal arsenite concentrations. In order to identify candidate biomarker genes, differentially expressed genes were identified. Arsenite-induced differentially expressed genes were significantly associated with gene ontology (GO)-terms that indicated a general stress response. Of the differentially expressed genes, five genes were selected and their expression was measured at seven arsenite concentrations by means of qPCR in order to obtain their expression profiles. Three candidate biomarker genes showed a dose-dependent upregulation, while two showed no clear dose-dependent expression. The expression of all candidate biomarkers was also assessed in rice plants grown on two arsenic-contaminated natural sediments, but only one biomarker gene showed the expected upregulation.

摘要

转录分析旨在深入了解潜在的毒性作用的分子机制。因此,它们可以补充经典的生态毒理学测试方法,并有可能识别与化学胁迫暴露和/或不利生物效应相关的生物标志物。这项可行性研究旨在确定一组砷暴露在水稻根中的潜在基因表达生物标志物,以补充现有水稻沉积物接触测试的信息价值。使用基于根和芽伸长抑制作为表型终点的参数的水稻与砷污染沉积物的接触测试作为基础。通过 cDNA 微阵列分析,观察到砷胁迫下的转录组变化,以观察两个亚致死砷浓度下的全转录组。为了鉴定候选生物标志物基因,鉴定了差异表达基因。砷诱导的差异表达基因与基因本体 (GO) 术语显著相关,这些术语表明存在一般应激反应。在差异表达基因中,选择了五个基因,并通过 qPCR 在七个砷浓度下测量其表达,以获得其表达谱。三个候选生物标志物基因表现出剂量依赖性上调,而两个基因则没有明显的剂量依赖性表达。还在生长在两种受砷污染的天然沉积物上的水稻植物中评估了所有候选生物标志物的表达,但只有一个生物标志物基因表现出预期的上调。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/cd1b/5773613/12532c5c8e91/11356_2017_515_Fig1_HTML.jpg

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