| Title |
Rapid and Targeted Introgression of Genes into Popular Wheat Cultivars Using Marker-Assisted Background Selection
|
|---|---|
| Published in |
PLOS ONE, June 2009
|
| DOI | 10.1371/journal.pone.0005752 |
| Pubmed ID | |
| Authors |
Harpinder S. Randhawa, Jasdeep S. Mutti, Kim Kidwell, Craig F. Morris, Xianming Chen, Kulvinder S. Gill |
| Abstract |
A marker-assisted background selection (MABS)-based gene introgression approach in wheat (Triticum aestivum L.) was optimized, where 97% or more of a recurrent parent genome (RPG) can be recovered in just two backcross (BC) generations. A four-step MABS method was developed based on 'Plabsim' computer simulations and wheat genome structure information. During empirical optimization of this method, double recombinants around the target gene were selected in a step-wise fashion during the two BC cycles followed by selection for recurrent parent genotype on non-carrier chromosomes. The average spacing between carrier chromosome markers was <4 cM. For non-carrier chromosome markers that flanked each of the 48 wheat gene-rich regions, this distance was approximately 12 cM. Employed to introgress seedling stripe rust (Puccinia striiformis f. sp. tritici) resistance gene Yr15 into the spring wheat cultivar 'Zak', marker analysis of 2,187 backcross-derived progeny resulted in the recovery of a BC(2)F(2ratio3) plant with 97% of the recurrent parent genome. In contrast, only 82% of the recurrent parent genome was recovered in phenotypically selected BC(4)F(7) plants developed without MABS. Field evaluation results from 17 locations indicated that the MABS-derived line was either equal or superior to the recurrent parent for the tested agronomic characteristics. Based on these results, MABS is recommended as a strategy for rapidly introgressing a targeted gene into a wheat genotype in just two backcross generations while recovering 97% or more of the recurrent parent genotype. |
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 105 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United Kingdom | 2 | 2% |
| Malaysia | 1 | <1% |
| United States | 1 | <1% |
| India | 1 | <1% |
| Unknown | 100 | 95% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 30 | 29% |
| Researcher | 28 | 27% |
| Student > Master | 10 | 10% |
| Professor | 5 | 5% |
| Other | 5 | 5% |
| Other | 14 | 13% |
| Unknown | 13 | 12% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 76 | 72% |
| Biochemistry, Genetics and Molecular Biology | 4 | 4% |
| Computer Science | 3 | 3% |
| Medicine and Dentistry | 3 | 3% |
| Nursing and Health Professions | 1 | <1% |
| Other | 5 | 5% |
| Unknown | 13 | 12% |