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MicroRNA319-targeted RaTCP1 regulates heterophylly in North American Lake Cress

2025· article· en· W4412548945 on OpenAlexaff
Gaojie Li, Shiqi Hu, Tomoaki Sakamoto, Shuka Ikematsu, H. J. Yang, Xuyao Zhao, Elizabeth A. Schultz, Seisuke Kimura, Hong‐Wei Hou

Bibliographic record

VenueEnvironmental and Experimental Botany · 2025
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicPlant Molecular Biology Research
Canadian institutionsUniversity of Lethbridge
FundersKunming Institute of Botany, Chinese Academy of SciencesJapan Society for the Promotion of ScienceChinese Academy of SciencesMinistry of Education, Culture, Sports, Science and Technology
KeywordsBotanyBiology

Abstract

fetched live from OpenAlex

Heterophylly, the plasticity of leaf form in response to environmental conditions, widely occurs in aquatic and amphibious plants. Rorippa aquatica produces simple or shallow-serrated leaves in terrestrial conditions but deep dissected leaves under submerged conditions. Regulation of CIN-TCP transcription factors by miR319 controls leaf complexity in several species and here we provide evidence that this regulatory module acts in the heterophylly of R. aquatica . RaTCP1 , one of the orthologs of AtTCP4 in R. aquatica , was identified as the most likely target of Raq-miR319b . Under submerged conditions that induced increased leaf complexity, RaTCP1 expression was reduced whereas Raq-miR319b expression was increased . Overexpressing Raq-miR319b in Arabidopsis thaliana reduced TCP gene expression and increased leaf serration. Ectopic expression of RaTCP1 rescued the phenotype of crinkled leaf form in tcp mutants of A. thaliana . The phytohormone abscisic acid (ABA) accumulated in terrestrial leaves of R. aquatica , while it was absent in submerged conditions. We found that the expression of Raq-miR319b can be induced by submergence, while it was repressed by ABA. Our results indicate that the environments regulated heterophylly in R. aquatica occur through the miR319-TCP module. These findings provide novel insights into how the plasticity of leaf shape is established in aquatic plants.

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 score0.401
Threshold uncertainty score0.327

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 science0.0000.000
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 head0.005
GPT teacher head0.206
Teacher spread0.201 · 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

Citations1
Published2025
Admission routes1
Has abstractyes

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