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Record W4407848487 · doi:10.1016/j.psj.2025.104927

ZIC3 shapes digit morphogenesis in avian

2025· article· en· W4407848487 on OpenAlexaff
Shan-Shan Li, Shibin Bai, Xiaona Xu, Jialong Yin, Yining Tang, Songyang Shang, Junpeng Zhang, David M. Irwin, Shuyi Zhang, Zhe Wang

Bibliographic record

VenuePoultry Science · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicAnimal Genetics and Reproduction
Canadian institutionsUniversity of Toronto
FundersDepartment of Science and Technology of Liaoning Province
KeywordsNumerical digitMorphogenesisBiologyArithmeticGeneticsMathematicsGene

Abstract

fetched live from OpenAlex

Through the evolutionary diversification of birds, a variety of digit morphologies have evolved as adaptations to diverse environments, with the regression of the anterior digits being a remarkable phenomenon. Transcriptomic analysis of chicken limb development has revealed molecular signatures in the anterior digits, among which Zic family member 3 (Zic3) stands out as a unique highly expressed transcription factor. However, the function of Zic3 in digit development in birds remains unclear. In this study, we investigated the expression pattern of Zic3 across five phylogenetically diverse avian species. Our analysis revealed a consistent Zic3 expression pattern in species from Neoaves and Palaeognathae, except for the ostrich. Ostrich hindlimbs exhibited increased Zic3 expression and an extended expression range from the first toe to the second toe. By locally expanding the expression domain of Zic3 in chicken anterior hindlimb buds we obtained a phenotype similar to that of early ostrich feet, characterized by significant shortening of digits I and II. We further performed mRNA Sequencing (mRNA-Seq) of the Zic3-overexpressed autopods and found that Zic3 inhibited skeletal development through multiple pathways, including the Wnt signaling pathway, ECM-receptor interaction and Focal adhesion. Our results reveal a pivotal role for Zic3 in anterior digits and identify its downstream regulatory mediators in birds.

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 score0.427
Threshold uncertainty score0.259

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 head0.006
GPT teacher head0.260
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 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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