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A High-Density Genetic Linkage Map for Cucumber (Cucumis sativus L.): Based on Specific Length Amplified Fragment (SLAF) Sequencing and QTL Analysis of Fruit Traits in Cucumber

Overview of attention for article published in Frontiers in Plant Science, April 2016
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Title
A High-Density Genetic Linkage Map for Cucumber (Cucumis sativus L.): Based on Specific Length Amplified Fragment (SLAF) Sequencing and QTL Analysis of Fruit Traits in Cucumber
Published in
Frontiers in Plant Science, April 2016
DOI 10.3389/fpls.2016.00437
Pubmed ID
Authors

Wen-Ying Zhu, Long Huang, Long Chen, Jian-Tao Yang, Jia-Ni Wu, Mei-Ling Qu, Dan-Qing Yao, Chun-Li Guo, Hong-Li Lian, Huan-Le He, Jun-Song Pan, Run Cai

Abstract

High-density genetic linkage map plays an important role in genome assembly and quantitative trait loci (QTL) fine mapping. Since the coming of next-generation sequencing, makes the structure of high-density linkage maps much more convenient and practical, which simplifies SNP discovery and high-throughput genotyping. In this research, a high-density linkage map of cucumber was structured using specific length amplified fragment sequencing, using 153 F2 populations of S1000 × S1002. The high-density genetic map composed 3,057 SLAFs, including 4,475 SNP markers on seven chromosomes, and spanned 1061.19 cM. The average genetic distance is 0.35 cM. Based on this high-density genome map, QTL analysis was performed on two cucumber fruit traits, fruit length and fruit diameter. There are 15 QTLs for the two fruit traits were detected.

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The data shown below were collected from the profiles of 4 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 38 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 1 3%
Poland 1 3%
Unknown 36 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 10 26%
Student > Master 8 21%
Student > Doctoral Student 4 11%
Researcher 2 5%
Student > Bachelor 2 5%
Other 4 11%
Unknown 8 21%
Readers by discipline Count As %
Agricultural and Biological Sciences 20 53%
Biochemistry, Genetics and Molecular Biology 4 11%
Computer Science 2 5%
Unspecified 1 3%
Environmental Science 1 3%
Other 1 3%
Unknown 9 24%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 2. 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 06 May 2016.
All research outputs
#13,465,597
of 22,865,319 outputs
Outputs from Frontiers in Plant Science
#6,685
of 20,233 outputs
Outputs of similar age
#146,597
of 299,207 outputs
Outputs of similar age from Frontiers in Plant Science
#125
of 489 outputs
Altmetric has tracked 22,865,319 research outputs across all sources so far. This one is in the 39th percentile – i.e., 39% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,233 research outputs from this source. They receive a mean Attention Score of 4.0. 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 299,207 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 49th percentile – i.e., 49% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 489 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.