Literature DB >> 16683633

Cloning and real-time PCR testing of 14 potential biomarkers in Eisenia fetida following cadmium exposure.

F Brulle1, G Mitta, C Cocquerelle, D Vieau, S Lemière, A Leprêtre, F Vandenbulcke.   

Abstract

Important biological activities could be affected in metal exposed species, and amongthe main physiological functions, immunity may provide one (or more) effector(s) which expression can be directly affected by a metal exposure in various macroinvertebrates. As many proteinic effectors showed a high degree of homology between species, we have developed a PCR approach to characterize partial mRNA sequences of selected effectors in the laboratory model, Eisenia fetida. After cloning, levels of expression of each gene were analyzed following exposures (80 and 800 mg/kg) to cadmium spiked soils using real-time PCR. An implemented approach was allowed to test quickly potential biomarkers in Eisenia fetida. Selected effectors were calmodulin, heat shock proteins, superoxide dismutase, catalase, metallothionein, beta-adrenergic receptor kinase, pyruvate carboxylase, trancriptionally controlled tumor protein, protein kinase C, and ubiquitin. Most of the selected effectors did not show variations of expression level after exposure. Others expressed weak changes of expression as heat shock proteins. At lastfor catalase and metallothionein, early suitable variations of expression were observed.

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Year:  2006        PMID: 16683633     DOI: 10.1021/es052299x

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


  15 in total

1.  Identification of suitable qPCR reference genes in leaves of Brassica oleracea under abiotic stresses.

Authors:  Franck Brulle; Fabien Bernard; Franck Vandenbulcke; Damien Cuny; Sylvain Dumez
Journal:  Ecotoxicology       Date:  2014-02-25       Impact factor: 2.823

2.  Antioxidant defense gene analysis in Brassica oleracea and Trifolium repens exposed to Cd and/or Pb.

Authors:  F Bernard; S Dumez; F Brulle; S Lemière; A Platel; F Nesslany; D Cuny; A Deram; F Vandenbulcke
Journal:  Environ Sci Pollut Res Int       Date:  2015-10-29       Impact factor: 4.223

3.  Ecotoxicological evaluation of foundry sands and cosmetic sludges using new earthworm biomarkers.

Authors:  Silvana Patricia Curieses; María Elena Sáenz; Marcelo Larramendy; Walter Di Marzio
Journal:  Ecotoxicology       Date:  2016-03-30       Impact factor: 2.823

Review 4.  Environmental pollutants, pathogens and immune system in earthworms.

Authors:  Shyamasree Ghosh
Journal:  Environ Sci Pollut Res Int       Date:  2018-01-11       Impact factor: 4.223

5.  Effect of triclosan on reproduction, DNA damage and heat shock protein gene expression of the earthworm Eisenia fetida.

Authors:  Dasong Lin; Ye Li; Qixing Zhou; Yingming Xu; Di Wang
Journal:  Ecotoxicology       Date:  2014-08-19       Impact factor: 2.823

6.  Multilevel ecotoxicity assessment of polycyclic musk in the earthworm Eisenia fetida using traditional and molecular endpoints.

Authors:  Chun Chen; Shengguo Xue; Qixing Zhou; Xiujie Xie
Journal:  Ecotoxicology       Date:  2011-07-26       Impact factor: 2.823

7.  Metallothionein gene expression differs in earthworm populations with different exposure history.

Authors:  M Mustonen; J Haimi; A Väisänen; K E Knott
Journal:  Ecotoxicology       Date:  2014-09-02       Impact factor: 2.823

8.  Design, validation and annotation of transcriptome-wide oligonucleotide probes for the oligochaete annelid Eisenia fetida.

Authors:  Ping Gong; Mehdi Pirooznia; Xin Guan; Edward J Perkins
Journal:  PLoS One       Date:  2010-12-08       Impact factor: 3.240

Review 9.  Earthworms and soil pollutants.

Authors:  Takeshi Hirano; Kazuyoshi Tamae
Journal:  Sensors (Basel)       Date:  2011-11-28       Impact factor: 3.576

10.  Cloning, analysis and functional annotation of expressed sequence tags from the Earthworm Eisenia fetida.

Authors:  Mehdi Pirooznia; Ping Gong; Xin Guan; Laura S Inouye; Kuan Yang; Edward J Perkins; Youping Deng
Journal:  BMC Bioinformatics       Date:  2007-11-01       Impact factor: 3.169

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