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Cycloheximide inhibits root water flow and stomatal conductance in aspen (<i>Populus tremuloides</i>) seedlings

2004· article· en· W1986354644 on OpenAlexafffund
M. C. Voicu, Janusz J. Zwiazek

Bibliographic record

VenuePlant Cell & Environment · 2004
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Stress Responses and Tolerance
Canadian institutionsUniversity of Alberta
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsCycloheximideStomatal conductanceWater transportApoplastXylemTranspirationWater flowChemistryHorticultureBotanyBiologyProtein biosynthesisBiochemistryCell wallPhotosynthesis

Abstract

fetched live from OpenAlex

ABSTRACT Aspen ( Populus tremuloides Michx.) roots were treated with cycloheximide, a protein synthesis inhibitor, to examine the role of protein synthesis in root water transport and plant water relations. Within less than 30 min following root application, cycloheximide inhibited steady‐state root water flow rates and 1 h after the application of 1 m m cycloheximide, root hydraulic conductivity had decreased by 85% compared with control roots. However, stomatal conductance showed a significant inhibition only after 2 h following cycloheximide treatment. The reduction in root hydraulic conductivity was accompanied by an almost three‐fold increase in the apoplastic water flow ratio as determined by the trisodium 3‐hydroxy‐5,8,10‐pyrenesulphonate tracer dye. Cycloheximide‐treated roots showed a decrease in the immunostaining intensity of a 32 kDa microsomal protein band that immunoreacted with the AnthPIP1; 1 antibody suggesting a decrease in the membrane aquaporin expression. These changes occurred without severe metabolic disruptions as measured by root respiration. The results point to the importance of protein‐mediated transport in roots and the rapidity of response suggests that protein synthesis may be used as a principal regulatory mechanism in root water transport in aspen.

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 categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.310
Threshold uncertainty score0.329

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)0.0000.000

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 head0.008
GPT teacher head0.163
Teacher spread0.154 · 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.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
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

Citations35
Published2004
Admission routes2
Has abstractyes

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