| Title |
Diversity arrays technology (DArT) markers in apple for genetic linkage maps
|
|---|---|
| Published in |
Molecular Breeding, May 2011
|
| DOI | 10.1007/s11032-011-9579-5 |
| Pubmed ID | |
| Authors |
Henk J. Schouten, W. Eric van de Weg, Jason Carling, Sabaz Ali Khan, Steven J. McKay, Martijn P. W. van Kaauwen, Alexander H. J. Wittenberg, Herma J. J. Koehorst-van Putten, Yolanda Noordijk, Zhongshan Gao, D. Jasper G. Rees, Maria M. Van Dyk, Damian Jaccoud, Michael J. Considine, Andrzej Kilian |
| Abstract |
Diversity Arrays Technology (DArT) provides a high-throughput whole-genome genotyping platform for the detection and scoring of hundreds of polymorphic loci without any need for prior sequence information. The work presented here details the development and performance of a DArT genotyping array for apple. This is the first paper on DArT in horticultural trees. Genetic mapping of DArT markers in two mapping populations and their integration with other marker types showed that DArT is a powerful high-throughput method for obtaining accurate and reproducible marker data, despite the low cost per data point. This method appears to be suitable for aligning the genetic maps of different segregating populations. The standard complexity reduction method, based on the methylation-sensitive PstI restriction enzyme, resulted in a high frequency of markers, although there was 52-54% redundancy due to the repeated sampling of highly similar sequences. Sequencing of the marker clones showed that they are significantly enriched for low-copy, genic regions. The genome coverage using the standard method was 55-76%. For improved genome coverage, an alternative complexity reduction method was examined, which resulted in less redundancy and additional segregating markers. The DArT markers proved to be of high quality and were very suitable for genetic mapping at low cost for the apple, providing moderate genome coverage. ELECTRONIC SUPPLEMENTARY MATERIAL: The online version of this article (doi:10.1007/s11032-011-9579-5) contains supplementary material, which is available to authorized users. |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
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 95 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Netherlands | 2 | 2% |
| Brazil | 2 | 2% |
| Australia | 1 | 1% |
| India | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 88 | 93% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 30 | 32% |
| Student > Ph. D. Student | 17 | 18% |
| Student > Bachelor | 6 | 6% |
| Professor > Associate Professor | 6 | 6% |
| Student > Master | 4 | 4% |
| Other | 10 | 11% |
| Unknown | 22 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 51 | 54% |
| Biochemistry, Genetics and Molecular Biology | 7 | 7% |
| Computer Science | 5 | 5% |
| Nursing and Health Professions | 2 | 2% |
| Psychology | 2 | 2% |
| Other | 4 | 4% |
| Unknown | 24 | 25% |
Attention Score in Context
This research output has an Altmetric Attention Score of 1. 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 12 December 2012.
All research outputs
#17,673,866
of 22,689,790 outputs
Outputs from Molecular Breeding
#433
of 543 outputs
Outputs of similar age
#93,964
of 110,285 outputs
Outputs of similar age from Molecular Breeding
#7
of 8 outputs
Altmetric has tracked 22,689,790 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 543 research outputs from this source. They receive a mean Attention Score of 4.5. This one is in the 17th percentile – i.e., 17% of its peers scored the same or lower than it.
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 110,285 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 13th percentile – i.e., 13% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 8 others from the same source and published within six weeks on either side of this one.