| Title |
Single nucleotide polymorphism genotyping in polyploid wheat with the Illumina GoldenGate assay
|
|---|---|
| Published in |
Theoretical and Applied Genetics, May 2009
|
| DOI | 10.1007/s00122-009-1059-5 |
| Pubmed ID | |
| Authors |
Eduard Akhunov, Charles Nicolet, Jan Dvorak |
| Abstract |
Single nucleotide polymorphisms (SNPs) are indispensable in such applications as association mapping and construction of high-density genetic maps. These applications usually require genotyping of thousands of SNPs in a large number of individuals. Although a number of SNP genotyping assays are available, most of them are designed for SNP genotyping in diploid individuals. Here, we demonstrate that the Illumina GoldenGate assay could be used for SNP genotyping of homozygous tetraploid and hexaploid wheat lines. Genotyping reactions could be carried out directly on genomic DNA without the necessity of preliminary PCR amplification. A total of 53 tetraploid and 38 hexaploid homozygous wheat lines were genotyped at 96 SNP loci. The genotyping error rate estimated after removal of low-quality data was 0 and 1% for tetraploid and hexaploid wheat, respectively. Developed SNP genotyping assays were shown to be useful for genotyping wheat cultivars. This study demonstrated that the GoldenGate assay is a very efficient tool for high-throughput genotyping of polyploid wheat, opening new possibilities for the analysis of genetic variation in wheat and dissection of genetic basis of complex traits using association mapping approach. |
X Demographics
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Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 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 299 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 9 | 3% |
| United States | 6 | 2% |
| Australia | 2 | <1% |
| United Kingdom | 2 | <1% |
| Italy | 1 | <1% |
| France | 1 | <1% |
| Chile | 1 | <1% |
| Netherlands | 1 | <1% |
| Paraguay | 1 | <1% |
| Other | 6 | 2% |
| Unknown | 269 | 90% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 95 | 32% |
| Student > Ph. D. Student | 74 | 25% |
| Student > Master | 22 | 7% |
| Student > Doctoral Student | 18 | 6% |
| Student > Postgraduate | 16 | 5% |
| Other | 44 | 15% |
| Unknown | 30 | 10% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 238 | 80% |
| Biochemistry, Genetics and Molecular Biology | 11 | 4% |
| Computer Science | 3 | 1% |
| Engineering | 2 | <1% |
| Environmental Science | 1 | <1% |
| Other | 6 | 2% |
| Unknown | 38 | 13% |
Attention Score in Context
This research output has an Altmetric Attention Score of 4. 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 27 September 2022.
All research outputs
#6,754,776
of 23,794,258 outputs
Outputs from Theoretical and Applied Genetics
#1,203
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Outputs of similar age
#30,368
of 96,760 outputs
Outputs of similar age from Theoretical and Applied Genetics
#6
of 15 outputs
Altmetric has tracked 23,794,258 research outputs across all sources so far. This one has received more attention than most of these and is in the 70th percentile.
So far Altmetric has tracked 3,565 research outputs from this source. They receive a mean Attention Score of 4.9. This one has gotten more attention than average, scoring higher than 65% of its peers.
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We're also able to compare this research output to 15 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 60% of its contemporaries.