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Record W4406145737 · doi:10.1242/dev.204497

Transcriptional dynamics during karyogamy in rice zygotes

2025· article· en· W4406145737 on OpenAlexfundno aff
Erika Toda, Shizuka Koshimizu, Atsuko Kinoshita, Tetsuya Higashiyama, Takeshi Izawa, Kentaro Yano, Takashi Okamoto

Bibliographic record

VenueDevelopment · 2025
Typearticle
Languageen
FieldBiochemistry, Genetics and Molecular Biology
TopicPlant Reproductive Biology
Canadian institutionsnot available
FundersJST-Mirai ProgramUniversity of TokyoRIKENJapan Society for the Promotion of ScienceTokyo Metropolitan UniversityInstitute of Genetics
KeywordsBiologyZygoteGameteMaternal to zygotic transitionCell biologyTranscriptomeEmbryogenesisGeneticsGene expressionRegulation of gene expressionGeneHuman fertilizationEmbryo

Abstract

fetched live from OpenAlex

Upon fertilization, male and female nuclei fuse to form the zygotic nucleus in angiosperms. Karyogamy is considered to be essential for proper embryogenesis; however, the transcriptional dynamics during karyogamy in plant zygotes remain unclear. In this study, we performed a single-cell transcriptome analysis of rice zygotes at six early developmental stages (15 min, 30 min, 1 h, 2 h, 4 h, and 6 h after gamete fusion) to reveal gene expression profiles during karyogamy in plant zygotes. The time-series RNA-sequencing analysis detected possible de novo and altered gene expression in zygotes from 15 min post-fertilization. Fertilization-induced transcription during karyogamy was characterized by protein interaction database and gene ontology (GO) analyses. Furthermore, paternal allele transcription was initiated approximately 30 min to 1 h after gamete fusion, when nuclear fusion begins in the zygote. Some transcripts preferentially expressed in egg cells were downregulated after gamete fusion. Moreover, a dynamic shift from maternal-biased transcripts to bi-parental expression occurred during early zygotic development. These results suggest that transcriptional dynamics during karyogamy plays an initial role in proper and sequential zygotic development and embryogenesis.

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 score0.721
Threshold uncertainty score0.364

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 head0.219
Teacher spread0.214 · 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

Citations4
Published2025
Admission routes1
Has abstractyes

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