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Attention Score in Context
| Title |
Adaptive selection of founder segments and epistatic control of plant height in the MAGIC winter wheat population WM-800
|
|---|---|
| Published in |
BMC Genomics, July 2018
|
| DOI | 10.1186/s12864-018-4915-3 |
| Pubmed ID | |
| Authors |
Wiebke Sannemann, Antonia Lisker, Andreas Maurer, Jens Léon, Ebrahim Kazman, Hilmar Cöster, Josef Holzapfel, Hubert Kempf, Viktor Korzun, Erhard Ebmeyer, Klaus Pillen |
| Abstract |
Multi-parent advanced generation intercross (MAGIC) populations are a newly established tool to dissect quantitative traits. We developed the high resolution MAGIC wheat population WM-800, consisting of 910 F4:6 lines derived from intercrossing eight recently released European winter wheat cultivars. Genotyping WM-800 with 7849 SNPs revealed a low mean genetic similarity of 59.7% between MAGIC lines. WM-800 harbours distinct genomic regions exposed to segregation distortion. These are mainly located on chromosomes 2 to 6 of the wheat B genome where founder specific DNA segments were positively or negatively selected. This suggests adaptive selection of individual founder alleles during population development. The application of a genome-wide association study identified 14 quantitative trait loci (QTL) controlling plant height in WM-800, including the known semi-dwarf genes Rht-B1 and Rht-D1 and a potentially novel QTL on chromosome 5A. Additionally, epistatic effects controlled plant height. For example, two loci on chromosomes 2B and 7B gave rise to an additive epistatic effect of 13.7 cm. The present study demonstrates that plant height in the MAGIC-WHEAT population WM-800 is mainly determined by large-effect QTL and di-genic epistatic interactions. As a proof of concept, our study confirms that WM-800 is a valuable tool to dissect the genetic architecture of important agronomic traits. |
X Demographics
The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 2 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 2 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 39 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 39 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 9 | 23% |
| Researcher | 7 | 18% |
| Student > Doctoral Student | 3 | 8% |
| Student > Master | 3 | 8% |
| Professor | 1 | 3% |
| Other | 3 | 8% |
| Unknown | 13 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Agricultural and Biological Sciences | 21 | 54% |
| Biochemistry, Genetics and Molecular Biology | 4 | 10% |
| Social Sciences | 1 | 3% |
| Unknown | 13 | 33% |
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 02 August 2018.
All research outputs
#18,645,475
of 23,098,660 outputs
Outputs from BMC Genomics
#8,230
of 10,706 outputs
Outputs of similar age
#253,586
of 329,833 outputs
Outputs of similar age from BMC Genomics
#127
of 182 outputs
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So far Altmetric has tracked 10,706 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 12th percentile – i.e., 12% of its peers scored the same or lower than it.
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