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Different proportions of cadmium occur as Cd‐binding phytochelatin complexes in plants

2007· article· en· W1991811423 on OpenAlexafffund
Eduardo Marentes, Wilfried E. Rauser

Bibliographic record

VenuePhysiologia Plantarum · 2007
Typearticle
Languageen
FieldEnvironmental Science
TopicHeavy metals in environment
Canadian institutionsUniversity of Guelph
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsPhytochelatinCadmiumPistiaChemistryBotanyAgrostisBiologyPoaceaeBiochemistryGlutathioneAquatic plant

Abstract

fetched live from OpenAlex

The aim was to determine cadmium (Cd) speciation in various plants, between buffer-soluble and acid-soluble Cd, and also within the buffer-soluble Cd. A better understanding of Cd speciation shows the relative importance of different biological mechanisms for Cd sequestration. Roots of Pistia stratiodes, Eichhornia crassipes, Agrostis gigantea, Deschampsia caespitosa and wheat Triticum turgidum var. durum were analyzed. Buffer extractions solubilized varying proportions of Cd, ranging from 12% in Eichhornia to 83% in Agrostis. The proportion increased with time of Cd exposure in Pistia. It also increased in wheat roots as the external Cd rose from 0.05 to 0.5 muM and was lowest in old leaves and highest in roots. The remaining Cd was extractable with acid. Gel filtration resolved buffer-soluble Cd into three peaks distinct from inorganic Cd. Two complexes with phytochelatins and related polythiols were present in all cases, inorganic Cd being prominent only in Eichhornia extracts. The phytochelatin complexes accounted for 2% of the root Cd in Eichhornia to 78% in Agrostis. In wheat, phytochelatins bound 82% of the Cd in roots, 19% in young leaves and 12% in old leaves. The cysteine-rich protein metallothionein from wheat was detected immunologically in the void volume of gel filtrations of old and young leaves, but not of roots, and was distinct from the two phytochelatin-based complexes. Speciation of Cd in the various plants indicated that phytochelatins were not necessarily the major ligands of Cd.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesInsufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.588
Threshold uncertainty score0.997

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0040.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.020
GPT teacher head0.270
Teacher spread0.250 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designObservational
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations26
Published2007
Admission routes2
Has abstractyes

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