| Title |
Physical mapping of DNA markers linked to stem rust resistance gene Sr47 in durum wheat
|
|---|---|
| Published in |
Theoretical and Applied Genetics, March 2017
|
| DOI | 10.1007/s00122-017-2875-7 |
| Pubmed ID | |
| Authors |
Daryl L. Klindworth, Jyoti Saini, Yunming Long, Matthew N. Rouse, Justin D. Faris, Yue Jin, Steven S. Xu |
| Abstract |
Markers linked to stem rust resistance gene Sr47 were physically mapped in three small Aegilops speltoides chromosomal bins. Five markers, including two PCR-based SNP markers, were validated for marker-assisted selection. In durum wheat (Triticum turgidum subsp. durum), the gene Sr47 derived from Aegilops speltoides conditions resistance to race TTKSK (Ug99) of the stem rust pathogen (Puccinia graminis f. sp. tritici). Sr47 is carried on small interstitial translocation chromosomes (Ti2BL-2SL-2BL·2BS) in which the Ae. speltoides chromosome 2S segments are divided into four bins in genetic stocks RWG35, RWG36, and RWG37. Our objective was to physically map molecular markers to bins and to determine if any of the molecular markers would be useful in marker-assisted selection (MAS). Durum cultivar Joppa was used as the recurrent parent to produce three BC2F2 populations. Each BC2F2 plant was genotyped with markers to detect the segment carrying Sr47, and stem rust testing of BC2F3 progeny with race TTKSK confirmed the genotyping. Forty-nine markers from published sources, four new SSR markers, and five new STARP (semi-thermal asymmetric reverse PCR) markers, were evaluated in BC2F2 populations for assignment of markers to bins. Sr47 was mapped to bin 3 along with 13 markers. No markers were assigned to bin 1; however, 7 and 13 markers were assigned to bins 2 and 4, respectively. Markers Xrwgs38a, Xmag1729, Xwmc41, Xtnac3119, Xrwgsnp1, and Xrwgsnp4 were found to be useful for MAS of Sr47. However, STARP markers Xrwgsnp1 and Xrwgsnp4 can be used in gel-free systems, and are the preferred markers for high-throughput MAS. The physical mapping data from this study will also be useful for pyramiding Sr47 with other Sr genes on chromosome 2B. |
X Demographics
The data shown below were collected from the profiles of 11 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 18% |
| United States | 2 | 18% |
| China | 1 | 9% |
| United Kingdom | 1 | 9% |
| Unknown | 5 | 45% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 7 | 64% |
| Scientists | 4 | 36% |
Mendeley readers
The data shown below were compiled from readership statistics for 27 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 27 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 7 | 26% |
| Student > Ph. D. Student | 6 | 22% |
| Other | 3 | 11% |
| Student > Doctoral Student | 2 | 7% |
| Student > Postgraduate | 1 | 4% |
| Other | 0 | 0% |
| Unknown | 8 | 30% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 12 | 44% |
| Biochemistry, Genetics and Molecular Biology | 3 | 11% |
| Computer Science | 2 | 7% |
| Unknown | 10 | 37% |
Attention Score in Context
This research output has an Altmetric Attention Score of 7. 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 21 June 2017.
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#4,812,828
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Outputs from Theoretical and Applied Genetics
#664
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#83,529
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Outputs of similar age from Theoretical and Applied Genetics
#23
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