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Unité de recherche
COST
Numéro de projet
C02.0045
Titre du projet
Heavy metal toxicity in forest trees: identification and isolation of cadmium responsive genes
Titre du projet anglais
Heavy metal toxicity in forest trees: identification and isolation of cadmium responsive genes

Textes relatifs à ce projet

 AllemandFrançaisItalienAnglais
Mots-clé
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Description succincte
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Résumé des résultats (Abstract)
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Références bases de données
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Textes saisis


CatégorieTexte
Mots-clé
(Anglais)
Cadmium; forest health; gene experssion; heavy metals; poplar health
Programme de recherche
(Anglais)
COST-Action E28 - GenoSilva: European Forest Genomics Network
Description succincte
(Anglais)
See abstract
Partenaires et organisations internationales
(Anglais)
A, B, BG, DK, FIN, F, D, GR, H, IRL, I, LT, N, PL, P, SI, E, S, CH, GB
Résumé des résultats (Abstract)
(Anglais)
Plants respond to heavy metal toxicity in a variety of different ways. Such responses include exclusion, chelation and compartmentalisation of the metal ions, and the expression of general stress responses. These mechanisms are intensively studied in annual plants, and several genes have been isolated whose products function in heavy metal detoxification. Very little is known about these mechanisms in forest trees, although heavy metals are regarded as a potential risk for forest health. The main goal of this project is to identify and isolate genes from poplar that are associated with the response to cadmium, and to evaluate the application of such genes as indicators for cadmium stress in forest stands. During the first project year, we studied the expression of 20 poplar genes that are expected to be involved in the response to cadmium based on knowledge from Arabidopsis thaliana. RT-PCR analyses indicated that distinct genes of phytochelatin biosynthesis and sulphur assimilation as well as members of the ABC (ATP-binding cassette) transporter gene family are induced by cadmium. These genes will be further characterised by quantitative gene expression studies and functional analyses. Moreover, microarray analyses will be used to identify additional candidate genes.
Références bases de données
(Anglais)
Swiss Database: COST-DB of the State Secretariat for Education and Research Hallwylstrasse 4 CH-3003 Berne, Switzerland Tel. +41 31 322 74 82 Swiss Project-Number: C02.0045