TYTUŁ PROJEKTU: Effects of metal contamination on root architecture in Arabidopsis halleri (modifications to POWROTY/2016-1/1: DPK/432-18/0/18)
- Okres realizacji: 09.2018 – 01.2019
- Status: w trakcie realizacji
- Kierownik: dr Alicja Babst-Kostecka (Zakład Ekologii IB PAN)
This project represents an extension to the AriaDNA project and is realized with an additional funding provided by the Foundation for Polish Science.
Concurrent changes in root system architecture and functioning could serve as a basis of future phytomining approaches. Accordingly, together with Charlotte Dietrich from the Institute of Bio- and Geosciences, FZ Jülich (Jülich, Germany), we have decided to evaluate the effect of spatial heavy metal contamination on Arabidopsis halleri root architecture. We are testing these effects by germinating and growing seeds from two metallicolous and two non-metallicolous populations in treatments represented by different layers of metalliferous and normal soil. In order to continuously monitor above- and below-ground plant biomass production, we have developed a noninvasive phenotyping method based on rhizoboxes.
To directly link the dynamics/inhibitions of root system architecture of specific Arabidospis halleri genotypes to soil pollution over time, we will apply the DGT (Diffiusive Gradients in Thin-Films) method. DGT allows assessing the bioavailable fractions of heavy metal in the respective layers of treatment soils. It is based on measurements of the effective trace element concentration in soil, corresponding to its current concentration in soil solution, supplemented with a labile metal pool released from the solid phase. Hence, we expect to gain deep insight in the relation between metal uptake and plant growth. This is an important aspect with respect to optimizing phytoremediation and phytomining techniques because changes in root structure in response to heavy metal polluted soils can be anticipated.
Źródło finansowania – Program POWROTY Fundacji na rzecz Nauki Polskiej finansowanym ze środków Europejskiego Funduszu Rozwoju Regionalnego w ramach Programu Operacyjnego Inteligentny Rozwój 2014-2020