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Record W4410520547 · doi:10.1093/jxb/eraf211

How to lose a whorl: the evolutionary and developmental biology of apetaly

2025· article· en· W4410520547 on OpenAlexafffund
Quentin Cronk

Bibliographic record

VenueJournal of Experimental Botany · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Taxonomy and Phylogenetics
Canadian institutionsUniversity of British Columbia
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsWhorl (mollusc)BiologyDevelopmental biologyEvolutionary biologyBotanyGenetics

Abstract

fetched live from OpenAlex

The general plan of the core eudicot flower involves two perianth whorls, a calyx, and a corolla. However, numerous eudicots, in multiple lineages, have only one perianth whorl, generally assumed to be the calyx, resulting in apetaly. Historically, these plants were placed in the polyphyletic taxonomic group 'Monochlamydeae' and, unsure about the nature of the single perianth whorl, the 19th century botanist de Candolle coined the word 'tepal' to indicate this uncertainty. This review surveys the molecular mechanisms of apetaly, its evolutionary drivers, and its possible role as a gateway to the unisexual flower through the B-switch hypothesis. The pollination biology of the petal (and petaloidy) is considered. Many apetalous plants have evolved petaloidy of the remaining (calyx) whorl. It is suggested that more attention be paid to the molecular dissection of the three-whorl floral ground plan. Fortunately, excellent genomic resources to aid further research are now available for species with a unipartite perianth, such as Beta, Cannabis, Fagopyrum, Portulaca, Spinacia, and Urtica.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.002
Threshold uncertainty score0.005

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0010.001
Science and technology studies0.0010.001
Scholarly communication0.0020.003
Open science0.0000.001
Research integrity0.0010.001
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 head0.018
GPT teacher head0.232
Teacher spread0.213 · 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 designObservational
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 routes2
Has abstractyes

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