Soybean bacterial artificial chromosome contigs anchored with RFLPs: insights into genome duplication and gene clustering
Bibliographic record
Abstract
Surveying the soybean genome with 683 bacterial artificial chromosome (BAC) contiguous groups (contigs) anchored by restriction fragment length polymorphisms (RFLPs) enabled us to explore microsyntenic relationships among duplicated regions and also to examine the physical organization of hypomethylated (and presumably gene-rich) genomic regions. Numerous cases where nonhomologous RFLPs hybridized to common BAC clones indicated that RFLPs were physically clustered in soybean, apparently in less than 25% of the genome. By extension, we speculate that most of the genes are clustered in less than 275 M of the soybean genome. Approximately 40%-45% of this gene-rich portion is associated with the RFLP-anchored contigs described in this study. Similarities in genome organization among BAC contigs from duplicate genomic regions were also examined. Homoeologous BAC contigs often exhibited extensive microsynteny. Furthermore, paralogs recovered from duplicate contigs shared 86%-100% sequence identity.
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 | 0.001 | 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".