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Record W4404160897 · doi:10.5376/rgg.2024.15.0023

Impact of Transposons and Structural Variations on the Adaptation and Diversification of the <i>Oryza</i> Species

2024· article· en· W4404160897 on OpenAlex
Zhen Li

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

venuePublished in a venue whose home country is Canada.
no affNo Canadian affiliation: this work is invisible to an affiliation-only frame.
No Canadian affiliation. An affiliation-only frame, the usual design, would never have seen this work. It is one of the works that make the case for inverting the frame.

Bibliographic record

VenueRice Genomics and Genetics · 2024
Typearticle
Languageen
FieldAgricultural and Biological Sciences
TopicChromosomal and Genetic Variations
Canadian institutionsnot available
Fundersnot available
KeywordsDiversification (marketing strategy)OryzaAdaptation (eye)Transposable elementBiologyOryza sativaDNA Transposable ElementsGeneticsEvolutionary biologyGenomeGeneBusiness

Abstract

fetched live from OpenAlex

Transposons, as mobile genetic elements in the genome, play a crucial role in genetic innovation and genome reconstruction of rice. Structural variation (including deletion, duplication, inversion, and translocation) greatly alters the genome structure and function, thereby affecting the phenotypic characteristics of rice and its ability to adapt to the environment. Both of them have important contributions to rice seed breeding. In this study, we reviewed the effects of transposon and structural variation on the adaptability and diversity of Oryza  species, and discussed in detail how these genetic variants promote the adaptability and biodiversity of Oryza  species by altering gene expression, regulating physiological and biochemical pathways, and adapting to environmental stress. Technical challenges and advances in studying the role of transposons and structural variation in rice were also discussed, and potential applications of these genetic mechanisms in future rice breeding and ecological conservation were pointed out. Through a systematic analysis of the existing literature, this study highlights the importance of understanding the role of these genetic elements in the adaptation and diversification of rice, and provides references for future research directions.

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.

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: Observational · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.978
Threshold uncertainty score0.164

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 head0.024
GPT teacher head0.212
Teacher spread0.188 · 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