Evolutionary pattern of the presence and absence genes in <i>Fragaria</i> species
Bibliographic record
Abstract
Presence and absence polymorphisms (PAPs) exist extensively and have been investigated in different organisms. However, PAPs have rarely been detected between strawberry species at the genome level. This study identified the presence and absence genes (P/A genes) between wild strawberry species (Fragaria vesca) and octoploid cultivated species (F. × ananassa) under a relatively strict criterion. In total, 333 P/A genes present in the wild strawberry but absent in the cultivated strawberry were detected. Of the P/A genes, 91.89% (306/333) were single genes, and only 8.11% were confirmed as multi-genes. The majority of the identified P/A genes in Fragaria were generated by tandem duplications. The P/A genes were unevenly distributed on the seven chromosomes of woodland strawberry, and they clustered preferentially near the telomeric regions of the chromosomes. The P/A genes tended to encode proteins with domains closely associated with responses to varying ecological factors, such as PPR, Protein kinases (PKs), NB-ARC, F-box and EF-hand domains. This indicated that the P/A genes were associated with coping with biotic and abiotic stresses to improve the adaptability of plants to changing environments.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.002 | 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) | 0.001 | 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".