Spatial Transcriptomics of Cotton Fibers During Elongation Stage
Bibliographic record
Abstract
Cotton fiber development plays a vital role in the global textile economy, and the elongation stage is crucial in determining fiber length and quality. In this study, we employed spatial transcriptomics to uncover the spatial organization of gene expression during the elongation phase of Gossypium hirsutum fibers. By integrating spatial barcoding and high-resolution transcriptomic mapping, we localized fiber-specific gene expression domains and identified elongation-zone-enriched transcripts. Our analysis revealed expression gradients of GhEXPA1 , GhRDL1 , and GhMYB25 -like along fiber tips, highlighting region-specific transcriptional modules associated with cell wall remodeling, ROS scavenging, and energy metabolism. These findings provide functional insights into the spatial coordination of molecular pathways underlying fiber elongation. This study not only demonstrates the power of spatial transcriptomics in dissecting complex developmental processes but also lays a foundation for future applications in targeted breeding, genome editing, and molecular improvement of cotton fiber quality.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.001 | 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 source (direct Gemma or distilled Codex), 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".