Transposon Dynamics Drive Genome Evolution and Regulate Genetic Mechanisms of Agronomic Traits in Cotton
Bibliographic record
Abstract
Transposable elements (TEs) serve as important drivers mediating polyploidization events and phenotypic diversification in plant genomes. However, the dynamic changes in various TE subclasses post-polyploidization and their mechanisms of influencing phenotypic variation require further investigation. The allopolyploid Gossypium species, originating from two diploid progenitors, provide an ideal model for studying TE dynamics following polyploidization. This study investigated TE dynamics post-polyploidization based on 21 diploid and 7 polyploid cotton genomes. The Tekay subclass of the Gypsy serves as a major driver of Gossypium genome evolution, as it underwent two burst events in the At-subgenome and its progenitor, exhibiting the highest abundance, longest length, and largest proportion among all TE subclasses. In contrast, the Gopia superfamily Tork subclass has lower abundance but greater genic association, facilitating environmental adaptation and phenotypic variation. Additionally, a pan-TE-related structural variation, the pan-TRV map, was constructed by integrating resequencing data from 256 accessions. Genome-wide analysis of 28 cotton genomes identified 142,802 TRVs, among which 72,116 showed polymorphisms in the 256 G. hirsutum accessions. The Gypsy superfamily, particularly the Tekay subclass, has been identified as a major source of TRVs, while Copia-type elements demonstrate significantly greater enrichment in gene-proximal genomic regions. A total of 334 TRVs exhibiting statistically significant associations with 10 key phenotypic traits, including 164 TRVs affecting yield components and 170 TRVs determining fiber quality. This investigation delineates the evolutionary significance of transposable elements in Gossypium genome diversification while simultaneously providing novel functional markers and potential editing targets for genetic dissection and molecular breeding of key agronomic traits in cotton.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot 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.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
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.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
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".