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A high-density SNP genotyping array for Brassica napus and its ancestral diploid species based on optimised selection of single-locus markers in the allotetraploid genome

Overview of attention for article published in Theoretical and Applied Genetics, June 2016
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  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (86th percentile)
  • Good Attention Score compared to outputs of the same age and source (79th percentile)

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Title
A high-density SNP genotyping array for Brassica napus and its ancestral diploid species based on optimised selection of single-locus markers in the allotetraploid genome
Published in
Theoretical and Applied Genetics, June 2016
DOI 10.1007/s00122-016-2746-7
Pubmed ID
Authors

Wayne E. Clarke, Erin E. Higgins, Joerg Plieske, Ralf Wieseke, Christine Sidebottom, Yogendra Khedikar, Jacqueline Batley, Dave Edwards, Jinling Meng, Ruiyuan Li, Cynthia Taylor Lawley, Jérôme Pauquet, Benjamin Laga, Wing Cheung, Federico Iniguez-Luy, Emmanuelle Dyrszka, Stephen Rae, Benjamin Stich, Rod J. Snowdon, Andrew G. Sharpe, Martin W. Ganal, Isobel A. P. Parkin

Abstract

The Brassica napus Illumina array provides genome-wide markers linked to the available genome sequence, a significant tool for genetic analyses of the allotetraploid B. napus and its progenitor diploid genomes. A high-density single nucleotide polymorphism (SNP) Illumina Infinium array, containing 52,157 markers, was developed for the allotetraploid Brassica napus. A stringent selection process employing the short probe sequence for each SNP assay was used to limit the majority of the selected markers to those represented a minimum number of times across the highly replicated genome. As a result approximately 60 % of the SNP assays display genome-specificity, resolving as three clearly separated clusters (AA, AB, and BB) when tested with a diverse range of B. napus material. This genome specificity was supported by the analysis of the diploid ancestors of B. napus, whereby 26,504 and 29,720 markers were scorable in B. oleracea and B. rapa, respectively. Forty-four percent of the assayed loci on the array were genetically mapped in a single doubled-haploid B. napus population allowing alignment of their physical and genetic coordinates. Although strong conservation of the two positions was shown, at least 3 % of the loci were genetically mapped to a homoeologous position compared to their presumed physical position in the respective genome, underlying the importance of genetic corroboration of locus identity. In addition, the alignments identified multiple rearrangements between the diploid and tetraploid Brassica genomes. Although mostly attributed to genome assembly errors, some are likely evidence of rearrangements that occurred since the hybridisation of the progenitor genomes in the B. napus nucleus. Based on estimates for linkage disequilibrium decay, the array is a valuable tool for genetic fine mapping and genome-wide association studies in B. napus and its progenitor genomes.

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X Demographics

The data shown below were collected from the profiles of 16 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 147 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Germany 1 <1%
Unknown 146 99%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 36 24%
Researcher 20 14%
Student > Master 17 12%
Student > Bachelor 11 7%
Other 8 5%
Other 15 10%
Unknown 40 27%
Readers by discipline Count As %
Agricultural and Biological Sciences 79 54%
Biochemistry, Genetics and Molecular Biology 21 14%
Engineering 2 1%
Environmental Science 1 <1%
Nursing and Health Professions 1 <1%
Other 3 2%
Unknown 40 27%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 12. 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 18 November 2021.
All research outputs
#2,910,191
of 25,163,238 outputs
Outputs from Theoretical and Applied Genetics
#264
of 3,739 outputs
Outputs of similar age
#49,461
of 360,203 outputs
Outputs of similar age from Theoretical and Applied Genetics
#8
of 34 outputs
Altmetric has tracked 25,163,238 research outputs across all sources so far. Compared to these this one has done well and is in the 88th percentile: it's in the top 25% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 3,739 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 5.0. This one has done particularly well, scoring higher than 92% 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 360,203 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 86% of its contemporaries.
We're also able to compare this research output to 34 others from the same source and published within six weeks on either side of this one. This one has done well, scoring higher than 79% of its contemporaries.