Identification of basic/helix-loop-helix transcription factors reveals candidate genes involved in anthocyanin biosynthesis from the strawberry white-flesh mutant
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Bibliographic record
Abstract
As the second largest transcription factor family in plant, the basic helix-loop-helix (bHLH) transcription factor family, characterized by the conserved bHLH domain, plays a central regulatory role in many biological process. However, the bHLH transcription factor family of strawberry has not been systematically identified, especially for the anthocyanin biosynthesis. Here, we identified a total of 113 bHLH transcription factors and described their chromosomal distribution and bioinformatics for the diploid woodland strawberry Fragaria vesca. In addition, transcription profiles of 113 orthologous bHLH genes from various tissues were analyzed for the cultivar 'Benihoppe', its white-flesh mutant 'Xiaobai', and the 'Snow Princess' from their fruit development to the ripening, as well as those under either the ABA or Eth treatment. Both the RT-PCR and qRT-PCR results show that seven selected FabHLH genes (FabHLH17, FabHLH25, FabHLH27, FabHLH29, FabHLH40, FabHLH80, FabHLH98) are responsive to the fruit anthocyanin biosynthesis and hormone signaling according to transcript profiles where three color modes are observed for strawberry's fruit skin and flesh. Further, prediction for the protein interaction network reveals that four bHLHs (FabHLH25, FabHLH29, FabHLH80, FabHLH98) are involved in the fruit anthocyanin biosynthesis and hormone signaling transduction. These bioinformatics and expression profiles provide a good basis for a further investigation of strawberry bHLH genes.
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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 | 0.002 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| 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 it