E3S Web of Conferences
Volume 1, 2013Proceedings of the 16th International Conference on Heavy Metals in the Environment
|Number of page(s)||4|
|Section||Biomonitoring of Ecosystems I|
|Published online||23 April 2013|
Looking for biomarkers of Hg exposure by transcriptome analysis in the aquatic plant Elodea nuttallii
1 Institut F.-A. Forel, Geneva University, CH-1290 Versoix, Switzerland
2 Fasteris SA, CH-1228 Plan-les-Ouates, Switzerland
3 IBIS, Helmholtz Centre Munich, 85764 Neuherberg, Germany
Recently developed genomics tools have a promising potential to identify early biomarkers of exposure to toxicants. In the present work we used transcriptome analysis (RNA-seq) of Elodea nuttallii –an invasive rooted macrophyte that is able to accumulate large amounts of metals- to identify biomarkers of Hg exposure. RNA-seq allowed identification of genes affected by Hg exposure and also unraveled plant response to the toxic metal: a change in energy/reserve metabolism caused by the inhibition of photosynthesis, and an adaptation of homeostasis networks to control accumulation of Hg. Data were validated by RT-qPCR and selected genes were further tested as biomarkers. Samples exposed in the field and to natural contaminated sediments clustered well with samples exposed to low metal concentrations under laboratory conditions. Our data suggest that this plant and/or this approach could be useful to develop new tests for water and sediment quality assessment.
Key words: Toxic metals / macrophyte / Cd / RNA-seq / water column / sediments
© Owned by the authors, published by EDP Sciences, 2013
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 2.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.