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Review
. 2018 Feb 6:9:104.
doi: 10.3389/fpls.2018.00104. eCollection 2018.

Development and Applications of a High Throughput Genotyping Tool for Polyploid Crops: Single Nucleotide Polymorphism (SNP) Array

Affiliations
Review

Development and Applications of a High Throughput Genotyping Tool for Polyploid Crops: Single Nucleotide Polymorphism (SNP) Array

Qian You et al. Front Plant Sci. .

Abstract

Polypoid species play significant roles in agriculture and food production. Many crop species are polyploid, such as potato, wheat, strawberry, and sugarcane. Genotyping has been a daunting task for genetic studies of polyploid crops, which lags far behind the diploid crop species. Single nucleotide polymorphism (SNP) array is considered to be one of, high-throughput, relatively cost-efficient and automated genotyping approaches. However, there are significant challenges for SNP identification in complex, polyploid genomes, which has seriously slowed SNP discovery and array development in polyploid species. Ploidy is a significant factor impacting SNP qualities and validation rates of SNP markers in SNP arrays, which has been proven to be a very important tool for genetic studies and molecular breeding. In this review, we (1) discussed the pros and cons of SNP array in general for high throughput genotyping, (2) presented the challenges of and solutions to SNP calling in polyploid species, (3) summarized the SNP selection criteria and considerations of SNP array design for polyploid species, (4) illustrated SNP array applications in several different polyploid crop species, then (5) discussed challenges, available software, and their accuracy comparisons for genotype calling based on SNP array data in polyploids, and finally (6) provided a series of SNP array design and genotype calling recommendations. This review presents a complete overview of SNP array development and applications in polypoid crops, which will benefit the research in molecular breeding and genetics of crops with complex genomes.

Keywords: SNP; SNP array; genotype calling; high throughput genotyping; polyploidy.

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Figures

Figure 1
Figure 1
Flowcharts of genotype calling for Affymetrix and Illumina platforms. (A) The flowchart of executing genotype calling mainly based on Best Practices Genotyping Workflow on the Affymetrix Axiom SNP array platform. (B) The flowchart of executing genotype calling based on Illumina Infinium SNP array platform. GenCall score: a quality metric calculated for each genotype (data point), and ranges from 0 to 1; 10% GenCall score: 10th percentile GenCall score for all samples.

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