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High-density 80 K SNP array is a powerful tool for genotyping G. hirsutum accessions and genome analysis

Overview of attention for article published in BMC Genomics, August 2017
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Title
High-density 80 K SNP array is a powerful tool for genotyping G. hirsutum accessions and genome analysis
Published in
BMC Genomics, August 2017
DOI 10.1186/s12864-017-4062-2
Pubmed ID
Authors

Caiping Cai, Guozhong Zhu, Tianzhen Zhang, Wangzhen Guo

Abstract

High-throughput genotyping platforms play important roles in plant genomic studies. Cotton (Gossypium spp.) is the world's important natural textile fiber and oil crop. Upland cotton accounts for more than 90% of the world's cotton production, however, modern upland cotton cultivars have narrow genetic diversity. The amounts of genomic sequencing and re-sequencing data released make it possible to develop a high-quality single nucleotide polymorphism (SNP) array for intraspecific genotyping detection in cotton. Here we report a high-throughput CottonSNP80K array and its utilization in genotyping detection in different cotton accessions. 82,259 SNP markers were selected from the re-sequencing data of 100 cotton cultivars and used to produce the array on the Illumina Infinium platform. 77,774 SNP loci (94.55%) were successfully synthesized on the array. Of them, 77,252 (99.33%) had call rates of >95% in 352 cotton accessions and 59,502 (76.51%) were polymorphic loci. Application tests using 22 cotton accessions with parent/F1 combinations or with similar genetic backgrounds showed that CottonSNP80K array had high genotyping accuracy, good repeatability, and wide applicability. Phylogenetic analysis of 312 cotton cultivars and landraces with wide geographical distribution showed that they could be classified into ten groups, irrelevant of their origins. We found that the different landraces were clustered in different subgroups, indicating that these landraces were major contributors to the development of different breeding populations of modern G. hirsutum cultivars in China. We integrated a total of 54,588 SNPs (MAFs >0.05) associated with 10 salt stress traits into 288 G. hirsutum accessions for genome-wide association studies (GWAS), and eight significant SNPs associated with three salt stress traits were detected. We developed CottonSNP80K array with high polymorphism to distinguish upland cotton accessions. Diverse application tests indicated that the CottonSNP80K play important roles in germplasm genotyping, variety verification, functional genomics studies, and molecular breeding in cotton.

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 28 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
Unknown 28 100%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 9 32%
Researcher 4 14%
Student > Postgraduate 3 11%
Student > Master 2 7%
Other 1 4%
Other 2 7%
Unknown 7 25%
Readers by discipline Count As %
Agricultural and Biological Sciences 14 50%
Biochemistry, Genetics and Molecular Biology 2 7%
Environmental Science 1 4%
Earth and Planetary Sciences 1 4%
Unknown 10 36%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. 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 25 August 2017.
All research outputs
#17,913,495
of 22,999,744 outputs
Outputs from BMC Genomics
#7,611
of 10,692 outputs
Outputs of similar age
#227,652
of 317,355 outputs
Outputs of similar age from BMC Genomics
#128
of 205 outputs
Altmetric has tracked 22,999,744 research outputs across all sources so far. This one is in the 19th percentile – i.e., 19% of other outputs scored the same or lower than it.
So far Altmetric has tracked 10,692 research outputs from this source. They receive a mean Attention Score of 4.7. This one is in the 23rd percentile – i.e., 23% of its peers scored the same or lower than it.
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