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基于微阵列的番茄幼苗根系对镉、铬、汞和铅响应的基因表达分析。

Microarray-based analysis of gene expression in lycopersicon esculentum seedling roots in response to cadmium, chromium, mercury, and lead.

机构信息

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

出版信息

Environ Sci Technol. 2015 Feb 3;49(3):1834-41. doi: 10.1021/es504154y. Epub 2015 Jan 16.

Abstract

The effects of heavy metals in agricultural soils have received special attention due to their potential for accumulation in crops, which can affect species at all trophic levels. Therefore, there is a critical need for reliable bioassays for assessing risk levels due to heavy metals in agricultural soil. In the present study, we used microarrays to investigate changes in gene expression of Lycopersicon esculentum in response to Cd-, Cr-, Hg-, or Pb-spiked soil. Exposure to (1)/10 median lethal concentrations (LC50) of Cd, Cr, Hg, or Pb for 7 days resulted in expression changes in 29 Cd-specific, 58 Cr-specific, 192 Hg-specific and 864 Pb-specific genes as determined by microarray analysis, whereas conventional morphological and physiological bioassays did not reveal any toxicant stresses. Hierarchical clustering analysis showed that the characteristic gene expression profiles induced by Cd, Cr, Hg, and Pb were distinct from not only the control but also one another. Furthermore, a total of three genes related to "ion transport" for Cd, 14 genes related to "external encapsulating structure organization", "reproductive developmental process", "lipid metabolic process" and "response to stimulus" for Cr, 11 genes related to "cellular metabolic process" and "cellular response to stimulus" for Hg, 78 genes related to 20 biological processes (e.g., DNA metabolic process, monosaccharide catabolic process, cell division) for Pb were identified and selected as their potential biomarkers. These findings demonstrated that microarray-based analysis of Lycopersicon esculentum was a sensitive tool for the early detection of potential toxicity of heavy metals in agricultural soil, as well as an effective tool for identifying the heavy metal-specific genes, which should be useful for assessing risk levels due to heavy metals in agricultural soil.

摘要

由于重金属在农作物中的潜在积累,以及其对所有营养级物种的影响,农业土壤中的重金属效应受到了特别关注。因此,迫切需要可靠的生物测定方法来评估农业土壤中重金属的风险水平。在本研究中,我们使用微阵列技术研究了番茄对 Cd、Cr、Hg 或 Pb 污染土壤的基因表达变化。暴露于(1)/10 半数致死浓度(LC50)的 Cd、Cr、Hg 或 Pb 7 天,通过微阵列分析,导致 29 个 Cd 特异性、58 个 Cr 特异性、192 个 Hg 特异性和 864 个 Pb 特异性基因的表达发生变化,而传统的形态学和生理学生物测定方法并未揭示任何毒物胁迫。层次聚类分析表明,Cd、Cr、Hg 和 Pb 诱导的特征基因表达谱不仅与对照不同,而且彼此之间也不同。此外,共鉴定和选择了与 Cd 相关的 3 个与“离子转运”相关的基因、与 Cr 相关的 14 个与“外部包裹结构组织”、“生殖发育过程”、“脂质代谢过程”和“对刺激的反应”相关的基因、与 Hg 相关的 11 个与“细胞代谢过程”和“细胞对刺激的反应”相关的基因、与 Pb 相关的 78 个与 20 个生物学过程(如 DNA 代谢过程、单糖分解代谢过程、细胞分裂)相关的基因,作为其潜在的生物标志物。这些发现表明,基于微阵列的番茄分析是一种敏感的工具,可用于早期检测农业土壤中重金属的潜在毒性,也是识别重金属特异性基因的有效工具,这对于评估农业土壤中重金属的风险水平应该是有用的。

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