Comparison of gene order of<i>GIGANTEA</i>loci in yellow-poplar, monocots, and eudicots
Bibliographic record
Abstract
GIGANTEA plays an important role in the control of circadian rhythms and photoperiodic flowering. The GIGANTEA gene has been studied in various species, but not in basal angiosperms. Moreover, to the best of our knowledge, no study of the genome organization of a basal angiosperm has yet been published. In this study, we sequenced a bacterial artificial chromosome (BAC) harboring GIGANTEA from yellow-poplar (Liriodendron tulipifera L.) and compared the genomic organization of this gene in yellow-poplar with that in other species from various angiosperm clades. This is the first report on the gene structure and organization of a large contig in any basal angiosperm species. The BAC clone, covering a region of approximately 122 kb from the yellow-poplar genome, was sequenced and assembled by coupling the 454 pyrosequencing technology with ABI capillary sequencing. In addition to GIGANTEA, the gene RPS18.A (encoding ribosomal protein S18.A) was found in this segment of the genome. We found that gene content and order in this region of the yellow-poplar genome were similar to those in the corresponding region in eudicots but not in Oryza sativa and Sorghum bicolor, implying that clustering of the GIGANTEA and RPS18.A genes is ancestral and separation of the genes occurred after the phylogenetic split of monocots from dicots. Phylogenetic analysis of GIGANTEA amino acid sequences placed yellow-poplar closer to eudicots than to monocots. In addition, evidence for transposition and large insertions and duplications was found, suggesting multiple and complex mechanisms of basal angiosperm genome evolution.
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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 | 0.001 | 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".