A library of<i>Solanum lycopersicoides</i>introgression lines in cultivated tomato
Bibliographic record
Abstract
A set of introgression lines (ILs), containing individual chromosome segments from the wild nightshade Solanum lycopersicoides bred into the genetic background of cultivated tomato (Lycopersicon esculentum), has been developed. A primary group of 56 lines was selected for maximum representation of the S. lycopersicoides genome (approximately 96% of the total map units), homozygosity, and a minimum number of introgressed segments per line. A secondary set of 34 lines provides increased map resolution in certain regions. Approximately 34% of the lines were sterile in the homozygous condition, but could be maintained by heterozygotes. To facilitate identification of segregating ILs, restriction fragment length polymorphism probes were converted to higher throughput cleaved amplified polymorphic sequence markers, which supplement allozyme and morphological loci. Strong segregation distortion was observed in F2 progeny of heterozygous ILs, with an excess of L. esculentum alleles in most regions. For introgressions on distal chromosome 1L, a preferential transmission of S. lycopersicoides alleles was observed in the male germ line. Homozygous ILs generally yielded less seed from self pollination than corresponding heterozygotes, indicating that sterility effects were recessive. This IL library provides a novel resource for genetic studies of traits found in S. lycopersicoides.
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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) | 0.001 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.001 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.003 | 0.002 |
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".