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Updated: Feb 22, 2026

Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil
Published on: September 1, 2020
Asociaciones entre la captación de cadmio y la expresión de transportadores YSL/HMA candidatos en la raíz foliar de
Raana Norouzi1, Amin Baghizadeh2, Hossein Abbaspour3
1Department of Biology, Da.C., Islamic Azad University, Damghan, Iran.
Abstract:
This study profiled physiological, biochemical, and transcriptional responses of Solanum nigrum to cadmium (Cd) in potted soil across graded treatments. Growth, assessed as fresh and dry mass, and chlorophyll a declined only at higher doses, whereas carotenoids increased by about 70%. Proline rose by roughly 302% and soluble proteins by 173% in a dose-responsive manner, consistent with up to 9.1-fold increases in P5CS transcripts. Malondialdehyde and hydrogen peroxide increased with Cd, accompanied by antioxidant responses. Shoots accumulated substantial Cd in soil, reaching 170 mg kg-1 DW at 100 mg kg-1 soil Cd, while the tolerance index remained ≥ 60% at the highest dose. The translocation factor exceeded one at all additions and peaked at ~ 1.28 at 50-100 mg kg-1Bioavailability-aware enrichment remained high: BCF_available (shoot) referenced to DTPA-Cd was ~ 19.4 at 12.5-25 mg kg-1 16.9 at 50 mg kg-1, and 12.6 at 100 mg kg-1. Whole-plant removal increased monotonically, with total Cd uptake of approximately 166, 303, 392, and 518 µg plant-1 at 12.5, 25, 50, and 100 mg kg-1, respectively. Candidate transporter transcripts showed distinct dose-dependent patterns in soil: SnYSL3 peaked at the intermediate dose (~ 7.6-fold), whereas HMA3 rose progressively and was highest at 100 mg kg-1 (~ 7.2-fold). Principal component analysis separated treatments and grouped stress markers with P5CS and HMA3 at higher Cd. This work provides a gradient-resolved, soil-based dataset linking Cd partitioning, bioavailability-normalized indices, and total uptake with coordinated shifts in candidate YSL and HMA transporters and key metabolites. The resulting framework establishes a standardized baseline for functional validation and field translation.
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