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Genetic Diversity, Population Structure, and Linkage Disequilibrium of an Association-Mapping Panel Revealed by Genome-Wide SNP Markers in Sesame

Overview of attention for article published in Frontiers in Plant Science, July 2017
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Title
Genetic Diversity, Population Structure, and Linkage Disequilibrium of an Association-Mapping Panel Revealed by Genome-Wide SNP Markers in Sesame
Published in
Frontiers in Plant Science, July 2017
DOI 10.3389/fpls.2017.01189
Pubmed ID
Authors

Chengqi Cui, Hongxian Mei, Yanyang Liu, Haiyang Zhang, Yongzhan Zheng

Abstract

The characterization of genetic diversity and population structure can be used in tandem to detect reliable phenotype-genotype associations. In the present study, we genotyped a set of 366 sesame germplasm accessions by using 89,924 single-nucleotide polymorphisms (SNPs). The number of SNPs on each chromosome was consistent with the physical length of the respective chromosome, and the average marker density was approximately 2.67 kb/SNP. The genetic diversity analysis showed that the average nucleotide diversity of the panel was 1.1 × 10(-3), with averages of 1.0 × 10(-4), 2.7 × 10(-4), and 3.6 × 10(-4) obtained, respectively for three identified subgroups of the panel: Pop 1, Pop 2, and the Mixed. The genetic structure analysis revealed that these sesame germplasm accessions were structured primarily along the basis of their geographic collection, and that an extensive admixture occurred in the panel. The genome-wide linkage disequilibrium (LD) analysis showed that an average LD extended up to ∼99 kb. The genetic diversity and population structure revealed in this study should provide guidance to the future design of association studies and the systematic utilization of the genetic variation characterizing the sesame panel.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 51 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 51 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 15 29%
Researcher 7 14%
Student > Doctoral Student 4 8%
Student > Master 4 8%
Student > Bachelor 3 6%
Other 6 12%
Unknown 12 24%
Readers by discipline Count As %
Agricultural and Biological Sciences 30 59%
Biochemistry, Genetics and Molecular Biology 4 8%
Unspecified 1 2%
Social Sciences 1 2%
Medicine and Dentistry 1 2%
Other 0 0%
Unknown 14 27%
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 12 August 2017.
All research outputs
#14,951,544
of 22,997,544 outputs
Outputs from Frontiers in Plant Science
#9,382
of 20,481 outputs
Outputs of similar age
#186,768
of 313,496 outputs
Outputs of similar age from Frontiers in Plant Science
#292
of 538 outputs
Altmetric has tracked 22,997,544 research outputs across all sources so far. This one is in the 32nd percentile – i.e., 32% of other outputs scored the same or lower than it.
So far Altmetric has tracked 20,481 research outputs from this source. They receive a mean Attention Score of 3.9. This one is in the 47th percentile – i.e., 47% of its peers scored the same or lower than it.
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We're also able to compare this research output to 538 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.