Mapping of STS markers obtained from oat resistance gene analog sequences
Bibliographic record
Abstract
Two previously isolated resistance gene analogs (RGAs) of oat have been located as RFLPs in the reference map of Avena byzantina 'Kanota' x Avena sativa 'Ogle' in regions either homologous or homoeologous to loci for resistance to Puccinia coronata, the causal agent of crown rust. In this study, the RGAs were mapped in two recombinant inbred line (RIL) populations that segregate for crown rust resistance: the diploid Avena strigosa x Avena wiestii RIL population (Asw), which has been used for mapping the complex locus PcA, and the hexaploid MN841801-1 x Noble-2 RIL population (MN), in which QTLs have been located. To obtain single-locus markers, RGAs were converted to sequence tagged site (STS) markers using a procedure involving extension of the original RGA sequence lengths by PCR genome walking, amplification and cloning of the parental fragments, and identification of single nucleotide polymorphisms. The procedure successfully obtained STSs from different members of the L7M2 family of sequences, the initial NBS of which have nucleotide similarities of >83%. However, for RGA III2.18, the parental lines were not polymorphic for the STSs assayed. A sequence characterized amplified region (SCAR) marker with features of an RGA had been previously identified for gene Pc94. This marker was also mapped in the above RIL populations. Markers based on RGA L7M2 co-localized with markers defining the QTL Prq1a in linkage group MN3, and were located 15.2 cM from PcA in linkage group AswAC. The SCAR marker for Pc94 was also located in the QTL Prq1a but at 39.5 cM from PcA in AswAC, indicating that the NBS-LRR sequence represented by this marker is not related to PcA. L7M2 was also excluded as a member of the PcA cluster, although it could be an appropriate marker for the Prq1a cluster if chromosome rearrangements are postulated.
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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 | 0.001 |
| 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 | 0.001 |
| Insufficient payload (model declined to judge) | 0.002 | 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".