Dissecting the ‘bacon and eggs’ phenotype: transcriptomics of post-anthesis colour change in Lotus
Bibliographic record
Abstract
Background and Aims: Post-anthesis colour change (PACC) is widely thought to be an adaptation to signal floral suitability to pollinators. Lotus filicaulis and Lotus sessilifolius are insect-pollinated herbaceous legumes with flowers that open yellow, shift to orange and finally red. This study examines the molecular basis for floral colour change in these Lotus species. Methods: Lotus filicaulis was cultivated in a glasshouse from which pollinating insects (bees) were excluded, and the rate of colour change was recorded in both unpollinated and manually pollinated flowers. Unpollinated flowers from both the yellow stage and the red stage were sampled for sequencing. The transcriptomes of L. filicaulis and L. sessilifolius of both colour stages were analysed for differentially expressed genes and enriched ontologies. Key Results: The rate of progression through PACC doubled when L. filicaulis was hand-pollinated. De novo assembly of RNA-Seq reads from non-model Lotus species outperformed heterologous alignment of reads to the L. japonicus genome. Differential expression analysis suggested that the carotenoid biosynthetic pathway is upregulated at anthesis while the flavonoid biosynthetic pathway is upregulated with the onset of PACC in L. filicaulis and L. sessilifolius . Conclusion: Pollination significantly accelerates PACC in L. filicaulis , consistent with the hypothesis that PACC increases pollination efficiency by directing pollinators to unpollinated flowers. RNA-Seq results show the synchronized upregulation of the entire cyanidin biosynthesis pathway in the red stage of PACC in L. filicaulis and L. sessilifolius . The genes implicated offer the basis for further investigations into how gene families, transcription factors and related pathways are likely to be involved in PACC.
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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".