| Title |
Large-scale mutagenesis directed at specific chromosomes in wheat.
|
|---|---|
| Published in |
Genome, January 2001
|
| DOI | 10.1139/gen-44-1-45 |
| Pubmed ID | |
| Authors |
R Koebner, J Hadfield |
| Abstract |
A novel approach has been developed to allow for the efficient selection of loss-of-function wheat mutants in the M1 generation, following either physical or chemical mutagenesis. This has generated an order of magnitude increase in the efficiency of identification of mutants, and also greatly increases the likelihood that selected individuals reflect mutation events at the target locus, rather than at genes acting elsewhere in the disease resistance pathway. The approach relies only on prior knowledge of the chromosomal location of the target gene, and uses the polyploidy of wheat to construct populations for mutagenesis in which large numbers of individuals are hemizygous for the target gene. The idea is illustrated with the mass identification of mutants at three independent genes for race-specific resistance to yellow rust, and one gene for resistance to powdery mildew. |
Mendeley readers
The data shown below were compiled from readership statistics for 10 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 10 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 40% |
| Professor | 3 | 30% |
| Student > Ph. D. Student | 1 | 10% |
| Other | 1 | 10% |
| Unknown | 1 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 7 | 70% |
| Biochemistry, Genetics and Molecular Biology | 1 | 10% |
| Medicine and Dentistry | 1 | 10% |
| Unknown | 1 | 10% |
Attention Score in Context
This research output has an Altmetric Attention Score of 5. 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 11 October 2016.
All research outputs
#6,757,283
of 25,385,509 outputs
Outputs from Genome
#227
of 1,302 outputs
Outputs of similar age
#19,957
of 114,377 outputs
Outputs of similar age from Genome
#5
of 25 outputs
Altmetric has tracked 25,385,509 research outputs across all sources so far. This one has received more attention than most of these and is in the 73rd percentile.
So far Altmetric has tracked 1,302 research outputs from this source. They receive a mean Attention Score of 3.6. This one has done well, scoring higher than 82% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 114,377 tracked outputs that were published within six weeks on either side of this one in any source. This one has done well, scoring higher than 82% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 80% of its contemporaries.