| Title |
Genetic mapping of SrCad and SNP marker development for marker-assisted selection of Ug99 stem rust resistance in wheat
|
|---|---|
| Published in |
Theoretical and Applied Genetics, April 2016
|
| DOI | 10.1007/s00122-016-2709-z |
| Pubmed ID | |
| Authors |
Mulualem T. Kassa, Frank M. You, Tom G. Fetch, Pierre Fobert, Andrew Sharpe, Curtis J. Pozniak, James G. Menzies, Mark C. Jordan, Gavin Humphreys, Tingting Zhu, Ming-Cheng Luo, Curt A. McCartney, Colin W. Hiebert |
| Abstract |
New SNP markers that can be used for marker-assisted selection and map-based cloning saturate the chromosome region carrying SrCad , a wheat gene that confers resistance to Ug99 stem rust. Wheat stem rust, caused by Puccinia graminis f. sp. tritici, is a devastating disease of wheat worldwide. Development of cultivars with effective resistance has been the primary means to control this disease, but the appearance of new virulent strains such as Ug99 has rendered most wheat varieties vulnerable. The stem rust resistance gene SrCad located on chromosome arm 6DS has provided excellent resistance to various strains of Ug99 in field nurseries conducted in Njoro, Kenya since 2005. Three genetic populations were used to identify SNP markers closely linked to the SrCad locus. Of 220 SNP markers evaluated, 27 were found to be located within a 2 cM region surrounding SrCad. The diagnostic potential of these SNPs was evaluated in a diverse set of 50 wheat lines that were primarily of Canadian origin with known presence or absence of SrCad. Three SNP markers tightly linked proximally to SrCad and one SNP that co-segregated with SrCad were completely predictive of the presence or absence of SrCad. These markers also differentiated SrCad from Sr42 and SrTmp which are also located in the same region of chromosome arm 6DS. These markers should be useful in marker-assisted breeding to develop new wheat varieties containing SrCad-based resistance to Ug99 stem rust. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Australia | 2 | 17% |
| United States | 2 | 17% |
| India | 1 | 8% |
| Unknown | 7 | 58% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 9 | 75% |
| Scientists | 3 | 25% |
Mendeley readers
The data shown below were compiled from readership statistics for 40 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 40 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 10 | 25% |
| Researcher | 9 | 23% |
| Student > Doctoral Student | 4 | 10% |
| Student > Bachelor | 3 | 8% |
| Professor | 2 | 5% |
| Other | 3 | 8% |
| Unknown | 9 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 23 | 57% |
| Biochemistry, Genetics and Molecular Biology | 7 | 18% |
| Unknown | 10 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 6. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 19 August 2016.
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#5,710,172
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#1,027
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Outputs of similar age
#77,976
of 300,827 outputs
Outputs of similar age from Theoretical and Applied Genetics
#8
of 34 outputs
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