| Title |
Transferability of SSR markers among wheat, rye, and triticale
|
|---|---|
| Published in |
Theoretical and Applied Genetics, December 2003
|
| DOI | 10.1007/s00122-003-1532-5 |
| Pubmed ID | |
| Authors |
C. Kuleung, P. S. Baenziger, I. Dweikat |
| Abstract |
Simple sequence repeat (SSR) markers are a valuable tool for many purposes, such as mapping, fingerprinting, and breeding. However, they are only available in some economically important crops because of the high cost and labor intensity involved in their development. Comparative mapping reveals a high degree of colinearity between closely related species, which allows the exchange of markers between them. Our objective was to examine the transferability of SSR markers among wheat ( Triticum aestivum L.), rye ( Secale cereale L.), and triticale (X Triticosecale Wittmack). One hundred forty-eight wheat and 28 rye SSR markers were used to amplify genomic DNA extracted from five lines each of wheat, rye, and triticale. Transferability of wheat SSR markers to rye was 17%, whereas 25% of rye markers were amplifiable in wheat. In triticale, 58% and 39% transferability was achieved for wheat and rye markers, respectively. Wheat markers gave an average of 2.6, 2.7, and 2.4 polymorphic bands in wheat, rye, and triticale, respectively, while rye markers gave an average of 2.0 in rye and none in wheat and triticale. These transferable markers can now be exploited for further genetic and breeding studies in these species. |
Mendeley readers
The data shown below were compiled from readership statistics for 89 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| India | 2 | 2% |
| Italy | 1 | 1% |
| Germany | 1 | 1% |
| United Kingdom | 1 | 1% |
| Mexico | 1 | 1% |
| Unknown | 83 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 19 | 21% |
| Student > Master | 17 | 19% |
| Student > Ph. D. Student | 12 | 13% |
| Student > Bachelor | 10 | 11% |
| Student > Doctoral Student | 3 | 3% |
| Other | 11 | 12% |
| Unknown | 17 | 19% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 55 | 62% |
| Biochemistry, Genetics and Molecular Biology | 11 | 12% |
| Business, Management and Accounting | 1 | 1% |
| Computer Science | 1 | 1% |
| Immunology and Microbiology | 1 | 1% |
| Other | 1 | 1% |
| Unknown | 19 | 21% |
Attention Score in Context
This research output has an Altmetric Attention Score of 3. 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 June 2009.
All research outputs
#7,845,540
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#1,366
of 3,565 outputs
Outputs of similar age
#34,353
of 136,182 outputs
Outputs of similar age from Theoretical and Applied Genetics
#6
of 16 outputs
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