Analysis of genetic variation within clonal lineages of grape phylloxera (<i>Daktulosphaira vitifoliae</i> Fitch) using AFLP fingerprinting and DNA sequencing
Bibliographic record
Abstract
Two AFLP fingerprinting methods were employed to estimate the potential of AFLP fingerprints for the detection of genetic diversity within single founder lineages of grape phylloxera (Daktulosphaira vitifoliae Fitch). Eight clonal lineages, reared under controlled conditions in a greenhouse and reproducing asexually throughout a minimum of 15 generations, were monitored and mutations were scored as polymorphisms between the founder individual and individuals of succeeding generations. Genetic variation was detected within all lineages, from early generations on. Six to 15 polymorphic loci (from a total of 141 loci) were detected within the lineages, making up 4.3% of the total amount of genetic variation. The presence of contaminating extra-genomic sequences (e.g., viral material, bacteria, or ingested chloroplast DNA) was excluded as a source of intraclonal variation. Sequencing of 37 selected polymorphic bands confirmed their origin in mostly noncoding regions of the grape phylloxera genome. AFLP techniques were revealed to be powerful for the identification of reproducible banding patterns within clonal lineages.
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How this classification was reachedexpand
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 | 0.001 | 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 itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, 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".