Phosphate and methionine affect cadmium uptake in valerian (Valeriana officinalis L.)
Metadata only
Date
2021-01Type
- Journal Article
Abstract
This study investigated the effects of exogenous methionine (Met) and different phosphate (PO4) concentrations on Cd uptake and translocation in Valeriana officinalis L. Seedlings were grown in nutrient solutions with three different concentrations of phosphate (900, 1200, and 1500 μM) for two weeks, then exposed for 4 days to 10 μM Cd, either in presence or absence of 400 μM methionine. The Met treatment decreased root Cd accumulation by up to 40%, while it enhanced Cd uptake into the shoots by 50%. In absence of Met, shoot Cd uptake was not affected by the level of phosphate application, although root Cd contents increased. The latter effect was entirely due to increased apoplastic Cd binding. In presence of Met, the Cd accumulation of both plant parts showed trends to increase with increasing phosphate level. In contrast to the treatments without Met, however, the phosphate effect on root Cd was due to increased symplastic root Cd allocation. The results suggest that the effects of Met on Cd uptake were due to the formation of mobile Cd-Met complexes, reducing phosphate-promoted Cd-retention in the apoplast and enhancing Cd transfer into the root symplast. Irrespective of the treatment, shoot Cd accumulation showed a close linear relationship to shoot mass, suggesting that convective transport with the transpirational water stream was the rate-governing uptake process. The results indicate that methionine supplementation could reduce Cd accumulation in valerian roots, which are the parts of this plant harvested for medicinal purposes, in Cd-contaminated soil, while phosphate would enhance it. © 2020 Elsevier Masson SAS Show more
Publication status
publishedExternal links
Journal / series
Plant Physiology and BiochemistryVolume
Pages / Article No.
Publisher
ElsevierSubject
Methionine; Cadmium; Zinc; Symplastic metal uptake; Apoplastic cadmium retentionMore
Show all metadata