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镉诱导的番茄基因表达的浓度依赖性变化。

Concentration-dependent alterations in gene expression induced by cadmium in Solanum lycopersicum.

作者信息

Hou Jing, Liu Xinhui, Cui Baoshan, Bai Junhong, Wang Xiangke

机构信息

School of Environment And Chemical Engineering, North China Electric Power University, Beijing, 102206, China.

State Key Laboratory of Water Environment Simulation, School of Environment, Beijing Normal University, Beijing, 100875, China.

出版信息

Environ Sci Pollut Res Int. 2017 Apr;24(11):10528-10536. doi: 10.1007/s11356-017-8748-4. Epub 2017 Mar 10.

DOI:10.1007/s11356-017-8748-4
PMID:28281075
Abstract

Cadmium (Cd) toxicity in agricultural soil has received significant attention because of its higher transformation in the food chain and toxicity to humans. The aim of the present study was to develop sensitive and specific biomarkers for Cd stress. Therefore, transcriptional analyses were performed to investigate concentration-response characteristics of Cd responsive genes identified from a Solanum lycopersicum microarray. The results showed that the lowest observable adverse effect concentrations (LOAECs) of Cd to S. lycopersicum were 1 mg/kg for seed germination, 8 mg/kg for root dry weight, 8 mg/kg for root elongation, and 8 mg/kg for root morphology. Furthermore, the genes were differentially expressed even at the lowest Cd concentrations (0.5 mg/kg), indicating that the detection of Cd in soil at the molecular level is a highly sensitive method. Cd in soil was positively correlated with the expression of the F-box protein PP2-B15 (r = 0.809, p < 0.01) and zinc transporter 4 (r = 0.643, p < 0.01), indicating that these two genes could be selected as indicators of soil Cd contamination.

摘要

由于镉(Cd)在食物链中的高转化性及其对人类的毒性,农业土壤中的镉毒性已受到广泛关注。本研究的目的是开发针对镉胁迫的敏感且特异的生物标志物。因此,进行了转录分析,以研究从番茄微阵列中鉴定出的镉响应基因的浓度-反应特征。结果表明,镉对番茄的最低可观察到有害效应浓度(LOAECs)分别为:种子萌发时为1毫克/千克,根干重为8毫克/千克,根伸长为8毫克/千克,根形态为8毫克/千克。此外,即使在最低镉浓度(0.5毫克/千克)下,这些基因也存在差异表达,这表明在分子水平检测土壤中的镉是一种高度灵敏的方法。土壤中的镉与F-box蛋白PP2-B15的表达呈正相关(r = 0.809,p < 0.01)以及与锌转运蛋白4的表达呈正相关(r = 0.643,p < 0.01),这表明这两个基因可被选作土壤镉污染的指标。

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