Application of comparative genomics in developing molecular markers tightly linked to the virus resistance gene<i>Rsv</i>4 in soybean
Bibliographic record
Abstract
The Rsv4 gene confers resistance to all the known strain groups of soybean mosaic virus in soybean (Glycine max (L.) Merr.). To construct a fine genetic map near Rsv4 in soybean, we employed a comparative genomics approach that used genome sequence information of the model legume Lotus japonicus. Sequences of the soybean expressed sequence tags (ESTs) AI856415 and BF070293 mapping to one side of the Rsv4 gene showed high similarity with gene sequences of the transformation-competent artificial chromosome (TAC) clone LjT32P24 of Lotus. LjT32P24 is tightly linked to another sequenced TAC clone, LjT26I01, in Lotus. A new marker, AW307114A, developed from soybean EST AW307114, which is homologous to a Lotus gene within LjT26I01, was mapped to the other side of the Rsv4 gene. The identification of the microsyntenic relationship facilitated the development of additional 2 EST markers between BF070293-S and AW307114A bracketing the Rsv4 gene. Several other markers developed in this study were mapped to putative homoeologous or duplicated chromosomal regions in soybean. Alignment between the soybean maps indicated that Rsv4 is located near a local chromosomal rearrangement. This targeted comparative mapping serves to provide a foundation for marker-assisted selection and cloning of the Rsv4 gene.
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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 | 0.000 | 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".