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Record W4414367058 · doi:10.5376/mgg.2025.16.0019

Functional Validation of Maize Phosphate Transporters Using Overexpression Lines

2025· article· en· W4414367058 on OpenAlexvenueno aff
Shanjun Zhu, Zhiyuan Wang

Bibliographic record

VenueMaize Genomics and Genetics · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant nutrient uptake and metabolism
Canadian institutionsnot available
Fundersnot available
KeywordsTransporterPhosphateCell cultureFunctional analysisGene expression

Abstract

fetched live from OpenAlex

Phosphate transport is essential for maize growth, development, and yield, as it regulates nutrient uptake, allocation, and signaling pathways critical for plant productivity. In this study, we conducted a comprehensive functional validation of maize phosphate transporters through overexpression strategies, focusing on key members of the PHT1, PHT2, and PHT3 families. We characterized the genomic organization, expression patterns, and regulatory features of these genes, followed by Agrobacterium-mediated transformation to generate targeted overexpression lines under constitutive and tissue-specific promoters. Phenotypic assessments revealed enhanced phosphate uptake efficiency, improved root architecture, increased biomass, and greater stress tolerance in transgenic lines. Molecular analyses, including transcriptomic profiling, protein localization studies, and metabolic flux measurements, confirmed the functional enhancement of phosphate transport and related metabolic pathways. A case study on a specific PHT1 transporter demonstrated significant agronomic benefits, including improved yield under phosphate-limited conditions. These findings provide critical insights into the roles of phosphate transporters in maize physiology and highlight their potential for breeding phosphate-efficient cultivars, contributing to sustainable agriculture and phosphorus resource conservation.

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 score0.351
Threshold uncertainty score0.153

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 head0.024
GPT teacher head0.213
Teacher spread0.189 · 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

Citations0
Published2025
Admission routes1
Has abstractyes

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