Genome-wide transcript analysis of inflorescence development in wheat
Bibliographic record
Abstract
The process of inflorescence development is directly related to yield components that determine the final grain yield in most cereal crops. Here, microarray analysis was conducted for four different developmental stages of inflorescence to identify genes expressed specifically during inflorescence development. To select inflorescence-specific expressed genes, we conducted meta-analysis using 1245 Affymetrix GeneChip array sets obtained from various development stages, organs, and tissues of members of Poaceae. The early stage of inflorescence development was accompanied by a significant upregulation of a large number of cell differentiation genes, such as those associated with the cell cycle, cell division, DNA repair, and DNA synthesis. Moreover, key regulatory genes, including the MADS-box gene, KNOTTED-1-like homeobox genes, GROWTH-REGULATING FACTOR 1 gene, and the histone methyltransferase gene, were highly expressed in the early inflorescence development stage. In contrast, fewer genes were expressed in the later stage of inflorescence development, and played roles in hormone biosynthesis and meiosis-associated genes. Our work provides novel information regarding the gene regulatory network of cell division, key genes involved in the differentiation of inflorescence in wheat, and regulation mechanism of inflorescence development that are crucial stages for determining final grain number per spike and the yield potential of wheat.
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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 | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.002 | 0.002 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.001 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".