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Record W2033542762 · doi:10.1007/s00122-010-1495-2

Conflicting mapping results for stem rust resistance gene Sr13

2010· letter· en· W2033542762 on OpenAlexaboutno aff
Jorge Dubcovsky, Frank Ordon, Dragan Perović, Belayneh Admassu, W. Friedt, Zewdie Abate, W. Zhang, Shiaoman Chao

Bibliographic record

VenueTheoretical and Applied Genetics · 2010
Typeletter
Languageen
FieldAgricultural and Biological Sciences
TopicWheat and Barley Genetics and Pathology
Canadian institutionsnot available
Fundersnot available
KeywordsBiologyStem rustPlant biochemistryResistance (ecology)GeneticsGeneGene mappingComputational biologyEvolutionary biologyAgronomy

Abstract

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Theor Appl Genet (2011) 122:659 DOI 10.1007/s00122-010-1495-2 COMMENT Conflicting mapping results for stem rust resistance gene Sr13 J. Dubcovsky • F. Ordon • D. Perovic B. Admassu • W. Friedt • Z. Abate • W. Zhang • S. Chao Published online: 14 December 2010 O The Author(s) 2010. This article is published with open access at Springerlink.com Two manuscripts with conflicting results on the mapping location of stem rust resistance gene Sr13 in wheat are published in this issue of TAG (Admassu et al. and Simons et al.). Both resistance genes were mapped on the long arm of chromosome 6AL, but the gene mapped by Admassu et al. between markers barc37 and wmc256 is more than 50 cM proximal to the one mapped by Simons et al. between markers CD926040 and BE471213. After the publication of the two manuscripts in TAG online, the authors of both manuscripts became aware of the conflicting results and they exchanged the critical hexaploid wheat cytogenetic stocks Khapstein/9*LMPG (developed by Dr. D. Knott) and the recurrent parent LMPG to deter- mine the source of the differences. In addition, they requested seeds for these two stocks from the U.S. Cereal Disease Laboratory in Saint Paul Minnesota (Dr. Yue Jin) and from Canada Agri-Food, Winnipeg (Dr. Tom Fetch). The online version of the original articles can be found under doi:10.1007/s00122-010-1433-3 and 10.1007/s00122-010-1444-0. J. Dubcovsky (&) Z. Abate W. Zhang Department of Plant Sciences, University of California, Davis, CA 95616, USA e-mail: jdubcovsky@ucdavis.edu F. Ordon D. Perovic B. Admassu Julius Kuehn-Institute, Federal Research Institute for Cultivated Plants (JKI), Institute for Resistance Research and Stress Tolerance, Erwin-Baur-Str. 27, 06484 Quedlinburg, Germany W. Friedt Institute of Crop Science and Plant Breeding I, Justus-Liebig-University Giessen, Heinrich-Buff-Ring 26-32, 35392 Giessen, Germany S. Chao USDA-ARS, Biosciences Research Laboratory, 1605 Albrecht Blvd N, Fargo, ND 58102-2765, USA Analysis of these stocks with molecular markers for the long arm of chromosome 6AL revealed that the Khapstein/ 9*LMPG seed stock used in the Admassu et al. paper was different from the other three Khapstein/9*LMPG stocks. Molecular markers barc37, barc107, barc118, barc1165, gwm570, wmc179, wmc256, wmc580, and cfd2 all showed different bands in the seed stock used in the Admassu paper relative to the seed stocks from the University of Califor- nia, the Cereal Disease Laboratory and Agri-Food Canada. These results indicate that the Khapstein/9*LMPG seed stock used in the Admassu paper is different from the other three. Since the Khapstein/9*LMPG hexaploid genetic stock defines the gene name Sr13, the gene mapped by Admassu et al. is most likely not Sr13 and should be renamed. The Khapstein/9*LMPG developed by Dr. D. Knott is polymorphic with the LMPG recurrent parent only for markers closely linked to the stem rust resistance gene mapped in the four tetraploid populations in the distal region of chromosome arm 6AL (barc104b and dupw167) by Simons et al. This observation, together with the fact that Sr13 was originated in tetraploid wheat (Khapli), provides indirect evidence that the gene mapped by Simons et al. is Sr13. Mapping the stem rust resistance gene present in the correct Khapstein/9*LMPG stock in an hexaploid segregating population will provide the final answer. Interestingly, both genes confer resistance to the new stem rust race Ug99 (TTKSK) suggesting that it would be possible to combine the two sources of resistance to Ug99 in the same 6AL arm. We have initiated crosses between the correct Khapstein/9*LMPG genetic stock and the source of the Admassu et al. Ug99 resistance to recombine both genes. Open Access This article is distributed under the terms of the Creative Commons Attribution Noncommercial License which per- mits any noncommercial use, distribution, and reproduction in any medium, provided the original author(s) and source are credited.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not 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.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesResearch integrity
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Not applicable · Consensus signal: none
GenreCandidate signal: Commentary · Consensus signal: none
Teacher disagreement score0.670
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0010.000
Bibliometrics0.0000.000
Science and technology studies0.0000.001
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0020.001
Insufficient payload (model declined to judge)0.0000.000

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.

Opus teacher head0.020
GPT teacher head0.230
Teacher spread0.210 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

Study designNot applicable
Domainnot available
GenreCommentary

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".

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Citations4
Published2010
Admission routes1
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