Construction and characterization of two<i>Citrus</i>BAC libraries and identification of clones containing the phytoene synthase gene
Bibliographic record
Abstract
Two deep-coverage Bacterial Artificial Chromosome (BAC) libraries of Citrus sinensis (L.) Osbeck 'Cara Cara' navel orange and Citrus reticulata (L.) Blanco 'Egan No. 1' Ponkan mandarin, which belong to the two most important species of the Citrus genus, have been constructed and characterized to facilitate gene cloning and to analyze variety-specific genome composition. The C. sinensis BAC library consists of 36 000 clones with negligible false-positive clones and an estimated average insert size of 126 kb covering ~4.5 x 109 bp and thus providing an 11.8-fold coverage of haploid genome equivalents, whereas the C. reticulata library consists of 21 000 clones also with negligible false-positive clones and an estimated average of 120 kb covering ~2.5 x 109 bp representing a 6.6-fold coverage of haploid genome equivalents. Both libraries were evaluated for contamination with high-copy vector, empty pIndigoBAC536 vector, and organellar DNA sequences. Screening has been performed by Southern hybridization of BAC filters, which results in <0.5% chloroplast DNA contamination and no mitochondrial DNA contamination in both libraries. Eight and five positive clones harboring the gene encoding Phytoene synthase (Psy (EC 2.5.1.32)) were identified from the C. sinensis and C. reticulata libraries, respectively, using the filter hybridization procedure. These results suggest that the two BAC libraries are useful tools for the isolation of functional genes and advanced genomics research in the two important species C. sinensis and C. reticulata. Resources, high-density filters, individual clones, and whole libraries are available for public distribution and are accessible at the National Key Laboratory of Crop Genetic Improvement, Huazhong Agricultural University.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| Insufficient payload (model declined to judge) | 0.001 | 0.001 |
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".