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Flower reversion in the natural allopolyploid Arabidopsis suecica

2010· article· en· W1586932304 on OpenAlexvenueno aff
Andreas Madlung, Erin McCullough, Kristen M. Wright, Aurelia Alvarez, Chanel P. Clark, Wayne L. Rickoll

Bibliographic record

VenueSound Ideas (University of Puget Sound) · 2010
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Reproductive Biology
Canadian institutionsnot available
Fundersnot available
KeywordsReversionArabidopsisBiologyBotanyGeneGeneticsPhenotype

Abstract

fetched live from OpenAlex

•Flower reversion is the result of genetic or environmental effects that reverse developmental steps in the transition from the vegetative to the reproductive phase in plants. Here, we describe peculiar floral abnormalities, homeotic conversions, and flower reversion in several wild-type accessions of the natural allopolyploid Arabidopsis suecica.\n•Microscopy was used to illustrate the phenotype in detail and we experimented with varying photoperiod lengths to establish whether or not the phenotype was responsive to the environment. We also profiled the transcriptional activity of several floral regulator genes during flower reversion using real-time PCR.\n•We showed that the frequency of floral reversion was affected by day length and the position of the flower along the inflorescence axis. In reverting flowers we found unusual gene expression patterns of floral promoters and inflorescence maintenance genes, including lower mRNA levels of AGAMOUS-LIKE-24 ( AGL-24), APETALA1 ( AP1), and SHORT VEGETATIVE PHASE ( SVP), and higher mRNA levels of SUPRESSOR OF CONSTANS1 ( SOC1) compared with normal flowers\n• We conclude that the floral reversion frequency in A. suecica is susceptible to photoperiod changes, and that the floral abnormalities coincide with the competing expression of floral promoters and floral repressors in reverting floral tissue.

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)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.857
Threshold uncertainty score0.523

Codex and Gemma teacher scores by category

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 science0.0010.000
Research integrity0.0000.000
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 head0.006
GPT teacher head0.209
Teacher spread0.203 · 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.

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
Published2010
Admission routes1
Has abstractyes

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