SWEEP: A Tool for Filtering High-Quality SNPs in Polyploid Crops

Overview

Journal G3 (Bethesda)

Publisher Oxford University Press

Specialties Genetics
Molecular Biology

Date 2015 Jul 9

PMID 26153076

Citations 32

Authors

Josh P Clevenger

Peggy Ozias-Akins

Affiliations

Soon will be listed here.

Abstract

High-throughput next-generation sequence-based genotyping and single nucleotide polymorphism (SNP) detection opens the door for emerging genomics-based breeding strategies such as genome-wide association analysis and genomic selection. In polyploids, SNP detection is confounded by a highly similar homeologous sequence where a polymorphism between subgenomes must be differentiated from a SNP. We have developed and implemented a novel tool called SWEEP: Sliding Window Extraction of Explicit Polymorphisms. SWEEP uses subgenome polymorphism haplotypes as contrast to identify true SNPs between genotypes. The tool is a single command script that calls a series of modules based on user-defined options and takes sorted/indexed bam files or vcf files as input. Filtering options are highly flexible and include filtering based on sequence depth, alternate allele ratio, and SNP quality on top of the SWEEP filtering procedure. Using real and simulated data we show that SWEEP outperforms current SNP filtering methods for polyploids. SWEEP can be used for high-quality SNP discovery in polyploid crops.

Citing Articles

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Promiscuous potato: elucidating genetic identity and the complex genetic relationships of a cultivated potato germplasm collection.

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Demographic history inference and the polyploid continuum.

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