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Record W4406943529 · doi:10.1139/gen-2024-0143

Sequence-based identification of polyamine oxidase genes in <i>Sorghum bicolor</i> L.

2025· article· en· W4406943529 on OpenAlexvenueno aff
Heba Talat Ebeed, Mohamed El-Zonkorany, Eman S. Habib, Esraa Ali, Ahmed Zahran, Aya Hamdy Ragab

Bibliographic record

VenueGenome · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPolyamine Metabolism and Applications
Canadian institutionsnot available
Fundersnot available
KeywordsPolyamine oxidaseBiologyGenePolyamineSorghumArabidopsisGene familyCatabolismGeneticsGenomeMolecular breedingComputational biologyBiochemistryEnzymeSpermidineMutant

Abstract

fetched live from OpenAlex

Polyamine oxidases (PAOs) are enzymes associated with polyamine catabolism and play important roles in growth and development and stress tolerance of plants. In the present study, genome-wide discovery and analysis of the PAO family in sorghum was done utilizing model PAO of Arabidopsis. Six PAO genes were found using publicly available genomic data. Sorghum has the PAO gene representatives distributed throughout four chromosomes (chr1, chr3, chr6, and chr7), and most members have eight to nine exons. The molecular weights of PAO proteins range from 53 to 63 kDa. PAO proteins have a theoretical PI between 5.2 and 8.1. The identification and characterization of PAO gene members in sorghum lay the foundation for further experimental studies elucidating their roles in growth, development, and stress responses, ultimately contributing to our understanding of plant biology, with significant implications for plant breeding by providing valuable insights into potential targets for enhancing stress tolerance and improving crop performance.

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 machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation 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 score0.003
Threshold uncertainty score0.006

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.000

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 head0.010
GPT teacher head0.266
Teacher spread0.256 · 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 source (direct Gemma or distilled Codex), 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

Citations1
Published2025
Admission routes1
Has abstractyes

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