EST derived PCR-based markers for functional gene homologues in cotton
Bibliographic record
Abstract
We investigated the utility of the Gossypium arboreum EST sequences in the GenBank database for developing PCR-based markers targeting known-function genes in cultivated tetraploid cottons, G. hirsutum and G. barbadense. Four hundred sixty-five randomly selected ESTs from this library were subjected to BLASTn search against all GenBank databases, of which putative function was assigned to 93 ESTs based on high nucleotide homology to previously studied genes. PCR primers were synthesized for 89 of the known-function ESTs. A total of 57 primer pairs amplified G. arboreum genomic DNA, but only 39 amplified in G. hirsutum and G. barbadense, suggesting that sequence divergence may be a factor causing non-amplification for some sites. DNA sequence analysis showed that most primer pairs were targeting the expected homologous loci. While the amplified products that were of larger size than the corresponding EST sequences contain introns, the primer pairs with a smaller amplicon than predicted from the flanking EST sequences did not amplify the expected orthologous gene sequences. Among the 39 primer pairs that amplified tetraploid cotton DNA, 3 detected amplicon size polymorphisms and 10 detected polymorphisms after digestion with one of six restriction enzymes. Ten of the polymorphic loci were subsequently mapped to an anchor RFLP map. Digestion of PCR-amplified sequences offers one means by which cotton genes can be mapped to their chromosomal locations more quickly and economically than by RFLP analysis.
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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 | 0.001 |
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".