MétaCan
Menu
Back to cohort
Record W4385896181 · doi:10.5376/mpb.2023.14.0016

ZmIQD27 Interacts with ZmCaMs and ZmKLCRs in Maize

2023· article· en· W4385896181 on OpenAlexvenueno aff
Yongmeng Gao, Jun Xie, Xiaoduo Lu, Haiyan Li

Bibliographic record

VenueMolecular Plant Breeding · 2023
Typearticle
Languageen
FieldEngineering
TopicBiofuel production and bioconversion
Canadian institutionsnot available
Fundersnot available
KeywordsMicrotubuleKinesinBiologyCell biologyScaffold proteinFunction (biology)Loss functionScaffoldIn vivoGeneComputational biologyBiophysicsGeneticsPhenotypeSignal transductionComputer science

Abstract

fetched live from OpenAlex

Plant secondary cell wall (SCW) provides physical support for upright growth and the transportation of water and nutrients. In our previous report, we characterized ZmIQD27, an SCW development-related protein, colocalized with microtubules and its loss of function would result in upward water-transportation failure. While the molecular mechanism of how ZmIQD27 mediates microtubular arrangement was not addressed. In this paper, a ZmCaM-ZmIQD27-ZmKLCR cascade was identified in maize. Interactions between ZmIQD27 and ZmCaMs and ZmKLCRs were verified in vivo and in vitro. ZmIQD27 motif that is responsible for binding CaMs and KLCRs was characterized. A proposed model of ZmIQD27 acts as a scaffold protein that senses signals and mediates the SCW transportation on microtubules guided by kinesin, was proposed. Our results would be essential for enriching the molecular network of how ZmIQD27 modulates secondary cell wall development, which would finally help in marker-assisted maize breeding.

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
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

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 head0.010
GPT teacher head0.179
Teacher spread0.169 · 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

Citations0
Published2023
Admission routes1
Has abstractyes

Explore more

Same venueMolecular Plant BreedingSame topicBiofuel production and bioconversionFrench-language works237,207