Literature DB >> 25565386

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

Jing Hou1, Xinhui Liu, Juan Wang, Shengnan Zhao, Baoshan Cui.   

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.

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Year:  2015        PMID: 25565386     DOI: 10.1021/es504154y

Source DB:  PubMed          Journal:  Environ Sci Technol        ISSN: 0013-936X            Impact factor:   9.028


  5 in total

1.  Microarray analysis and real-time PCR assay developed to find biomarkers for mercury-contaminated soil.

Authors:  Jing Hou; Xinhui Liu; Baoshan Cui; Junhong Bai; Xiangke Wang
Journal:  Toxicol Res (Camb)       Date:  2016-08-26       Impact factor: 3.524

2.  Assessment on cadmium and lead in soil based on a rhizosphere microbial community.

Authors:  Xu Zhang; Huanhuan Yang; Zhaojie Cui
Journal:  Toxicol Res (Camb)       Date:  2017-06-16       Impact factor: 3.524

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

Authors:  Jing Hou; Xinhui Liu; Baoshan Cui; Junhong Bai; Xiangke Wang
Journal:  Environ Sci Pollut Res Int       Date:  2017-03-10       Impact factor: 4.223

4.  Heterologous expression of TuCAX1a and TuCAX1b enhances Ca2+ and Zn2+ translocation in Arabidopsis.

Authors:  Kun Qiao; Fanhong Wang; Shuang Liang; Zhangli Hu; Tuanyao Chai
Journal:  Plant Cell Rep       Date:  2019-02-06       Impact factor: 4.570

5.  Which Genes in a Typical Intertidal Seagrass (Zostera japonica) Indicate Copper-, Lead-, and Cadmium Pollution?

Authors:  Haiying Lin; Tao Sun; Yi Zhou; Ruiting Gu; Xiaomei Zhang; Wei Yang
Journal:  Front Plant Sci       Date:  2018-10-24       Impact factor: 5.753

  5 in total

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