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Record W2910981524 · doi:10.22215/etd/2018-13323

Contribution of Boundary Genes to Fruit Patterning and Dehiscence in Arabidopsis Thaliana

2018· dissertation· en· W2910981524 on OpenAlexaff
Adina Popescu

Bibliographic record

Venuenot available
Typedissertation
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsCarleton UniversityUniversity of Ottawa
FundersInstitut National de la Recherche Agronomique
KeywordsMeristemDehiscenceArabidopsis thalianaArabidopsisHomeoboxGeneBiologyBotanyMutantGeneticsTranscription factor

Abstract

fetched live from OpenAlex

Fruit production is an evolutionary innovation that allows for seed dispersion. Brassica members including the model plant species Arabidopsis thaliana produce dry fruits that shatter when ripe, a process called dehiscence. The Arabidopsis fruit is a pod composed of two fused valves whose margins are joined to a central seed-bearing replum. The valve margins are specialized zones for dehiscence, related to boundaries that separate leaves from the shoot apical meristem. BLADE-ON-PETIOLE1/2 (BOP1/2) co-activators interact with Clade I TGA transcription factors to promote the activation of three-amino-acid-loop-extension (TALE) homeobox genes, important for boundary development. My data show that boundary genes enhance the expression of valve margin identity genes. Further, boundary genes are constrained to the valve margin by mechanisms similar to valve margin identity genes. Finally, boundary gene mutations modulate replum width and generate shatter-resistant fruits. Manipulation of this pathway provides a new potential strategy for optimizing pod shatter in crops.

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 score0.002
Threshold uncertainty score0.007

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 studies0.0010.000
Scholarly communication0.0010.001
Open science0.0000.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0020.001

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 head0.018
GPT teacher head0.271
Teacher spread0.254 · 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

Citations3
Published2018
Admission routes1
Has abstractyes

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