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Record W4387694278 · doi:10.1101/2023.10.16.562574

<i>Arabidopsis LRR-MAL Receptor-like Kinases</i> regulate intraspecific and interspecific pollen-stigma interactions

2023· preprint· en· W4387694278 on OpenAlexafffund
Hyun Kyung Lee, Laura E. Canales Sanchez, Stephen J. Bordeleau, Daphne R. Goring

Bibliographic record

VenuebioRxiv (Cold Spring Harbor Laboratory) · 2023
Typepreprint
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Reproductive Biology
Canadian institutionsUniversity of Toronto
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsArabidopsisBiologyPollen tubeGynoeciumPollenSexual reproductionGeneticsMutantGeneBotanyPollinationStamen

Abstract

fetched live from OpenAlex

Abstract Flowering plants contain tightly controlled pollen-pistil interactions required for promoting intraspecies fertilization and preventing interspecies hybridizations. In Arabidopsis , several receptor kinases (RKs) are known to regulate the later stages of intraspecies pollen tube growth and ovular reception in the pistil, but less is known about RK regulation of the earlier stages. The Arabidopsis RKF1 cluster of Leucine-Rich Repeat Malectin ( LRR-MAL) RKs was previously found to function in the stigma to promote intraspecies pollen hydration. Here, we tested additional combinations of up to seven Arabidopsis LRR-MAL RK knockout mutants for the RKF1 cluster, LIK1 , RIR1 and NILR2 . These LRR-MAL RKs were discovered to function in the female stigma to support intraspecies Arabidopsis pollen tube growth and to establish a pre-zygotic interspecies barrier against Capsella rubella pollen. Thus this study uncovered new biological functions for these poorly understood group of RKs in regulating the early stages of Arabidopsis sexual reproduction.

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)0.001
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow)
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 score0.236
Threshold uncertainty score0.999

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0010.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0010.002
Research integrity0.0010.001
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 head0.018
GPT teacher head0.228
Teacher spread0.210 · 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 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 routes2
Has abstractyes

Explore more

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