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Integrating haplotype-specific linkage maps in tetraploid species using SNP markers

Overview of attention for article published in Theoretical and Applied Genetics, August 2016
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Title
Integrating haplotype-specific linkage maps in tetraploid species using SNP markers
Published in
Theoretical and Applied Genetics, August 2016
DOI 10.1007/s00122-016-2768-1
Pubmed ID
Authors

Peter M. Bourke, Roeland E. Voorrips, Twan Kranenburg, Johannes Jansen, Richard G. F. Visser, Chris Maliepaard

Abstract

Linkage mapping can help unravel the complexities of polyploid genomes. Here, we integrate haplotype-specific linkage maps in autotetraploid potato and explore the possibilities for mapping in other polyploid species. High-density linkage mapping in autopolyploid species has become possible in recent years given the increasing number of molecular markers now available through modern genotyping platforms. Such maps along with larger experimental populations are needed before we can obtain sufficient accuracy to make marker-trait association studies useful in practice. Here, we describe a method to create genetic linkage maps for an autotetraploid species with large numbers of markers and apply it to an F1 population of tetraploid potato (Solanum tuberosum L.) of 235 individuals genotyped using a 20K SNP array. SNP intensity values were converted to allele dosages after which we calculated pairwise maximum likelihood estimates of recombination frequencies between all marker segregation types under the assumption of random bivalent pairing. These estimates were used in the clustering of markers into linkage groups and their subsequent ordering into 96 homologue maps. The homologue maps were integrated per chromosome, resulting in a total map length of 1061 cM from 6910 markers covering all 12 potato chromosomes. We examined the questions of marker phasing and binning and propose optimal strategies for both. We also investigated the effect of quadrivalent formation and preferential pairing on recombination frequency estimation and marker phasing, which is of great relevance not only for potato but also for genetic studies in other tetraploid species for which the meiotic pairing behaviour is less well understood.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 83 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Netherlands 1 1%
Brazil 1 1%
Sweden 1 1%
Japan 1 1%
United States 1 1%
Unknown 78 94%

Demographic breakdown

Readers by professional status Count As %
Researcher 19 23%
Student > Master 19 23%
Student > Ph. D. Student 13 16%
Professor > Associate Professor 4 5%
Student > Doctoral Student 4 5%
Other 6 7%
Unknown 18 22%
Readers by discipline Count As %
Agricultural and Biological Sciences 49 59%
Biochemistry, Genetics and Molecular Biology 10 12%
Environmental Science 1 1%
Psychology 1 1%
Sports and Recreations 1 1%
Other 2 2%
Unknown 19 23%
Attention Score in Context

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 02 December 2016.
All research outputs
#7,440,731
of 24,292,134 outputs
Outputs from Theoretical and Applied Genetics
#1,294
of 3,644 outputs
Outputs of similar age
#111,382
of 346,262 outputs
Outputs of similar age from Theoretical and Applied Genetics
#32
of 52 outputs
Altmetric has tracked 24,292,134 research outputs across all sources so far. This one has received more attention than most of these and is in the 69th percentile.
So far Altmetric has tracked 3,644 research outputs from this source. They receive a mean Attention Score of 5.0. This one has gotten more attention than average, scoring higher than 64% 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 346,262 tracked outputs that were published within six weeks on either side of this one in any source. This one has gotten more attention than average, scoring higher than 67% of its contemporaries.
We're also able to compare this research output to 52 others from the same source and published within six weeks on either side of this one. This one is in the 38th percentile – i.e., 38% of its contemporaries scored the same or lower than it.