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A high-density, multi-parental SNP genetic map on apple validates a new mapping approach for outcrossing species

Overview of attention for article published in Horticulture Research, November 2016
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About this Attention Score

  • Good Attention Score compared to outputs of the same age (66th percentile)
  • Good Attention Score compared to outputs of the same age and source (77th percentile)

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1 X user
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5 Wikipedia pages

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114 Mendeley
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1 CiteULike
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Article details
Title
A high-density, multi-parental SNP genetic map on apple validates a new mapping approach for outcrossing species
Published in
Horticulture Research, November 2016
DOI 10.1038/hortres.2016.57
Pubmed ID
Authors
Abstract

Quantitative trait loci (QTL) mapping approaches rely on the correct ordering of molecular markers along the chromosomes, which can be obtained from genetic linkage maps or a reference genome sequence. For apple (Malus domestica Borkh), the genome sequence v1 and v2 could not meet this need; therefore, a novel approach was devised to develop a dense genetic linkage map, providing the most reliable marker-loci order for the highest possible number of markers. The approach was based on four strategies: (i) the use of multiple full-sib families, (ii) the reduction of missing information through the use of HaploBlocks and alternative calling procedures for single-nucleotide polymorphism (SNP) markers, (iii) the construction of a single backcross-type data set including all families, and (iv) a two-step map generation procedure based on the sequential inclusion of markers. The map comprises 15 417 SNP markers, clustered in 3 K HaploBlock markers spanning 1 267 cM, with an average distance between adjacent markers of 0.37 cM and a maximum distance of 3.29 cM. Moreover, chromosome 5 was oriented according to its homoeologous chromosome 10. This map was useful to improve the apple genome sequence, design the Axiom Apple 480 K SNP array and perform multifamily-based QTL studies. Its collinearity with the genome sequences v1 and v3 are reported. To our knowledge, this is the shortest published SNP map in apple, while including the largest number of markers, families and individuals. This result validates our methodology, proving its value for the construction of integrated linkage maps for any outbreeding species.

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Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 114 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
United States 1 <1%
Netherlands 1 <1%
Unknown 112 98%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Student > Ph. D. Student 32 28%
Researcher 20 18%
Student > Master 14 12%
Student > Doctoral Student 9 8%
Other 6 5%
Other 11 10%
Unknown 22 19%
Readers by discipline
Readers by discipline Count As %
Agricultural and Biological Sciences 70 61%
Biochemistry, Genetics and Molecular Biology 12 11%
Environmental Science 1 <1%
Nursing and Health Professions 1 <1%
Computer Science 1 <1%
Other 2 2%
Unknown 27 24%
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 15 February 2025.
All research outputs
#10,472,463
of 31,723,272 outputs
Outputs from Horticulture Research
#1,049
of 1,912 outputs
Outputs of similar age
#139,580
of 431,986 outputs
Outputs of similar age from Horticulture Research
#2
of 9 outputs
Altmetric has tracked 31,723,272 research outputs across all sources so far. This one has received more attention than most of these and is in the 66th percentile.
So far Altmetric has tracked 1,912 research outputs from this source. They typically receive a lot more attention than average, with a mean Attention Score of 15.4. This one is in the 43rd percentile – i.e., 43% 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 431,986 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 66% of its contemporaries.
We're also able to compare this research output to 9 others from the same source and published within six weeks on either side of this one. This one has scored higher than 7 of them.